CN104213534A - Cascade-reservoir self-adaptive integrated dispatching system and dispatching method integrating multi-source information - Google Patents

Abstract

The invention relates to a cascade-reservoir self-adaptive integrated dispatching system and a cascade-reservoir self-adaptive integrated dispatching method integrating multi-source information, wherein the dispatching system comprises an external-source information-accessing module, an internal-source information-collecting module, a distributed-type information-transmitting module, a multi-source information integrating module, a dispatching-effect checking module, a self-adaptive optimizing module and a remote control center. According to the dispatching system and the dispatching method, the monitoring and transmitting functions of the multi-source information are provided by using a reservoir upstream sub drainage basin and a downstream river-channel controlled cross section as base units, and the dynamic analyzing and checking functions of cascade-reservoir integrated dispatching effects are realized on the basis of integrating the multi-source information; the nonlinear responding relationship among the dispatched draining flow quantity of a cascade reservoir and the flow quantity, the water level as well as the water quality of the downstream river-channel controlled cross section is functionalized, and the self-adaptive optimizing and feedback improving functions of the integrated dispatching of the cascade reservoir are provided. The dispatching system and the dispatching method are characterized in that the comprehensive benefits of flood prevention, electricity generation, shipping, ecology and water environments of the cascade reservoir are markedly enhanced.

Description

Merge step reservoir Adaptive synthesis dispatching patcher and the dispatching method of multi-source information

Technical field

The present invention relates to Hydraulic and Hydro-Power Engineering Optimum Scheduling Technology field, particularly a kind of step reservoir Adaptive synthesis dispatching patcher and dispatching method merging multi-source information.

Background technology

China's hydraulic power potentials enriches, and position is at the forefront in the world.Effectively developing hydraulic power potentials, can either increase energy supply, ensure Chinese energy safety, is also the Important Action reducing greenhouse gas emission, successfully manage Global climate change.Except water power calculation, Hydraulic and Hydro-Power Engineering has the several functions such as flood control, water supply, shipping, ecological protection concurrently toward contact, is the important leverage of socio-economic development.As can be seen here, accelerate the paces that Hydraulic and Hydro-Power Engineering is built, for raising water resource utilization efficiency, improve energy resource structure, protection water ecological environment, promotion economic development, will the effect of actively promoting be played.Through years development, China in the Changjiang river, Jinsha jiang River, Yalongjiang River, Dadu River, the basin such as Wujiang River built up a large amount of step water-control projects.How these step reservoirs of efficient and rational scheduling, giving full play to their comprehensive benefit, is an important issue in current Hydraulic and Hydro-Power Engineering Optimum Scheduling Technology field.

Traditional reservoir operation is generally that Technological Economy is preferential, usually adopts maximum generating watt to weigh the benefit in power station, and does not take into full account the comprehensive benefit of the different section of upstream and downstream, different interests.Although carried out certain exploration and practice in reservoir dispatching both at home and abroad, a set of effective step reservoir synthesis scheduling system and implementation method are also lacked.The main cause of this present situation is caused to have:

1, step reservoir integrated dispatch relates to the multiple reservoir of upstream and downstream, and cover the many-sides such as flood control, generating, shipping, water supply, ecology again, having the characteristic of multiple target, multiple constraint, is the system engineering of a class complexity simultaneously; When implementing reservoir dispatching, not only going up between lower step and often influencing each other, also often mutually restricting between different regulation goal; Therefore, the integrated dispatch of step reservoir is no longer traditional single storehouse power benefit scheduling problem, but is related to the comprehensive benefits such as the flood control of multiple reservoir, navigation, ecological and generating and plays, and needs the balance taking into full account each side;

2, the scheduling of traditional scheduler technology mainly for single reservoir is different from, implement step reservoir integrated dispatch and need carry out Real-Time Monitoring, storage and transmission to the meteorology of each sub basin, the hydrology, reservoir running state parameter, coverage is wide, and monitoring parameter is many, requires high to message transmission capability;

3, step reservoir integrated dispatch coverage is wider, can not determine that factor is more, conventional scheduling techniques comes with some shortcomings in dynamic conditioning and intelligent optimizing, needs are sought more targetedly, more intelligentized lexical analysis technology, to realize quantitatively, in real time dispatching step reservoir, play its best comprehensive benefit.

In sum, a kind of the step reservoir Adaptive synthesis dispatching patcher and the dispatching method that more effectively merge multi-source information are provided, become those skilled in the art's problem demanding prompt solution.

The information being disclosed in this background of invention technology part is only intended to deepen the understanding to general background technology of the present invention, and should not be regarded as admitting or imply in any form that this information structure has been prior art known in those skilled in the art.

Summary of the invention

For solving the problem, the object of the present invention is to provide a kind of step reservoir Adaptive synthesis dispatching patcher merging multi-source information, fully merging on the basis of the multi-source informations such as a large amount of meteorology, the hydrology, water quality, form the reservoir dispatching method being target with step reservoir comprehensive benefit to the maximum, make it have the functions such as dynamic analysis, check, Automatic adjusument, feedback improvement, give full play to the flood control of step reservoir, generating, shipping, ecology, environmental Benefit of Water.Another object of the present invention is to provide a kind of step reservoir Adaptive synthesis dispatching method merging multi-source information.

In order to achieve the above object, the invention provides a kind of step reservoir Adaptive synthesis dispatching patcher merging multi-source information, it comprises:

External source information access module (1), endogenous information acquisition module (2), distributed information transport module (3), multi-source information integration module (4), dispatching effect checks module (5), adaptive optimization module (6) and remote control center (7), wherein: described external source information access module (1) adopts internet encrypted mode synchronously to receive the external source meteorological data (WS1) of the current scheduling period beyond from described dispatching patcher, external source hydrological data (HS1), the external source weather forecast data (WP1) of external source data of water quality (QS1) and next scheduling slot, the data storage that described external source information access module (1) receives is in remote control center (7), the monitoring station that the upstream needle that described endogenous information acquisition module (2) is included in step reservoir is arranged dissimilar sub basin and the monitoring station that crucial controlling section is arranged in mining under reservoir river course, each monitoring station arranges the multi-parameter integral type monitoring equipment of one or more types to gather the endogenous meteorological data (WS2) of current scheduling period, endogenous hydrological data (HS2), endogenous data of water quality (QS2), endogenous reservoir running status data (RS), for making up external source information access module (1) at white space, the default parameters of blank interval, the data that described endogenous information acquisition module (2) gathers is imported in remote control center (7) via distributed information transport module (3), the communication node that the upstream needle that described distributed information transport module (3) is included in step reservoir is arranged dissimilar sub basin and the communication node that crucial controlling section is arranged in mining under reservoir river course, described distributed information transport module (3) adopts three layers of information communication network structure to carry out information bidirectional transmission, with on the one hand for receiving the data that endogenous information acquisition module (2) gathers, and be successively uploaded to storage in remote control center (7), and the teleinstruction that remote control center (7) issue successively can be issued to endogenous information acquisition module (2) on the other hand, described multi-source information integration module (4) is centrally stored in remote control center (7) after the data of external source information access module (1), endogenous information acquisition module (2) is carried out standardization, and can produce weather forecast data and the hydrological forecast data of next scheduling slot, described dispatching effect is checked module (5) and is arranged in remote control center (7), described dispatching effect checks module (5) can at the initial time of each scheduling slot, by receiving the information that multi-source information integration module (4) provides, analyze the flood control results of the crucial control section of downstream river course, navigation benefit, ecological state, Water Environment Status quo and step reservoir power benefit, and check current reservoir regulation mode and whether be applicable to next scheduling slot, described adaptive optimization module (6) is arranged in remote control center (7), described adaptive optimization module (6) can by calculating the reservoir dispatching scheme that can play optimal synthesis benefit at next scheduling slot, and scheduling scheme is transferred to remote control center (7), then the control room of step reservoir is issued to, to implement new Optimized Operation scheme at next scheduling slot, described remote control center (7) and described external source information access module (1), endogenous information acquisition module (2), distributed information transport module (3), multi-source information integration module (4), dispatching effect checks module (5), adaptive optimization module (6) communication connection is with the duty and the back-end data process that control modules, described remote control center (7) comprises external source information server (71), endogenous information server (72), top layer communication network terminal node (73), multi-source information server (74), performance analysis server (75), Optimization analyses server (76).

Preferably, comprise mountain area type sub basin and plain type sub basin at the sub basin of the upstream of described step reservoir, wherein, adopt tandem monitoring station distribution pattern at described mountain area type sub basin, adopt netted monitoring station distribution pattern at plain type sub basin; Weather monitoring device (21), hydrologic monitoring equipment (22), water quality monitoring equipment (23), reservoir monitoring running state equipment (24) is comprised in each monitoring station; Wherein said weather monitoring device (21) comprises rain sensor, wind speed/wind transducer, air-temperature sensor, baroceptor, illumination meter, humidity sensor; Described hydrologic monitoring equipment (22) comprises level sensor, flow transmitter; Described water quality monitoring equipment (23) comprises cooling-water temperature sensor, acidity-basicity sensor, dissolved oxygen sensor, permanganate index analyzer, COD sensor, sonde-type algae luminoscope, multi-parameter nutritive salt sensor; Described reservoir monitoring running state equipment (24) comprises upstream water level sensor, tailwater elevation sensor, flow transmitter; Each monitoring equipment remains for the bidirectional port be connected with distributed information transport module (3) all in advance, and import the data monitored into remote control center (7) by described bidirectional port, and send instructions to control each monitoring equipment under remote control center (7) can being received by described bidirectional port; Wherein, the data storage that receives of described external source information access module (1) is in described external source information server (71); The data storage that described endogenous information acquisition module (2) gathers is in described endogenous information server (72).

Preferably, described distributed information transport module (3) comprises bottom communication network (31), intermediate layer communication network (32), top layer communication network (33); Wherein said bottom communication network (31) adopts tandem communication node distribution pattern at mountain area type sub basin, adopts netted communication node distribution pattern at plain type sub basin; Bottom communication network (31) in each sub basin comprises multiple communication node and routing node, each communication node carries out wired connection with contiguous monitoring equipment by described bidirectional port, carries out local area radio networking between each communication node by local area network wireless procotol simultaneously; Each node in described intermediate layer communication network (32) is made up of the sub basin information gathering transmission center being arranged on each sub basin end outlet place, and the mode by internet encrypted between the node in described intermediate layer communication network (32) is interconnected; The data sink of the communication node transmission of described bottom communication network (31) after the sub basin information gathering transmission center of intermediate layer communication network (32), then is uploaded to top layer communication network (33); Described top layer communication network (33) includes at least one top layer communication network terminal node (73), described top layer communication network terminal node (73) to be arranged in remote control center (7) and with endogenous information server (72) wired connection, and terminal node (73) is connected by internet encrypted mode with the sub basin information gathering transmission center of intermediate layer communication network (32).

Preferably, described multi-source information integration module (4) comprises information integerated unit (41), weather forecast unit (42), hydrological forecast unit (43), wherein said information integerated unit (41) receives the external source meteorological data (WS1) of current scheduling period, external source hydrological data (HS1), the endogenous meteorological data (WS2) of external source data of water quality (QS1) and current scheduling period, endogenous hydrological data (HS2), endogenous data of water quality (QS2), the external source weather forecast data (WP1) of endogenous reservoir running status data (RS) and next scheduling slot, the endogenous weather forecast data (WP2) of next scheduling slot that weather forecast unit (42) exports, the endogenous hydrological forecast data (HP1) of next scheduling slot that hydrological forecast unit (43) exports, and standardization is carried out to the data received, concentrate and store and upgrade, wherein, only when described external source information access module (1) can not provide the external source weather forecast data (WP1) of next scheduling slot, start weather forecast unit (42), utilize external source meteorological data (WS1) or the endogenous meteorological data (WS2) of the current scheduling period received in information integerated unit (41), adopt data-driven method implement basin short-range weather predict and the endogenous weather forecast data (WP2) that next scheduling slot is provided as a supplement, and endogenous weather forecast data (WP2) is inputed to information integerated unit (41) storage, described hydrological forecast unit (43) to utilize in information integerated unit (41) the external source hydrological data (HS1) of current scheduling period or the external source weather forecast data (WP1) of endogenous hydrological data (HS2) and next scheduling slot or endogenous weather forecast data (WP2), adopts data-driven method generate the endogenous hydrological forecast data (HP1) of next scheduling slot and endogenous hydrological forecast data (HP1) inputed to information integerated unit (41) and store.

Preferably, described dispatching effect is checked module (5) and is arranged in performance analysis server (75), and described dispatching effect check module (5) comprises flood control results analytic unit (51), navigation performance analysis unit (52), ecological safety analytic unit (53), water environment guarantee analytic unit (54), power benefit analytic unit (55) and scheduling and checks unit (56); The initial time of each scheduling slot in schedule periods, each analytic unit started in described dispatching effect check module (5) is analyzed.

Preferably, in described dispatching effect check module (5), the analytical method of each analytic unit is respectively:

A) described flood control results analytic unit (51) adopts the flood control safety fraction f of step reservoir downstream river course flood control controlling section _t(F) flood control results is analyzed:

Wherein flood control safety fraction f _t(F) be obtained by formula 1 below:

$f_t\left(F\right)=\frac{1}{M}\underset{j=1}{\overset{M}{\mathrm{\Σ}}}{m}_j^t$ (formula 1), wherein,

$m_j^t=\left\{\begin{array}{ccc}({\mathrm{ZF}}_j^{t,c}-{\mathrm{ZF}}_j^t)/({\mathrm{ZF}}_j^{t,c}-{\mathrm{ZF}}_j^b)& {\mathrm{ZF}}_j^t\≤{\mathrm{ZF}}_j^{t,c}& j=1,...,M\\ -\∞& {\mathrm{ZF}}_j^t>{\mathrm{ZF}}_j^{t,c}& j=1,...,M\end{array}\right.$

Wherein, f _t(F) be flood control safety fraction; M is downstream river course flood control controlling section number; for a jth flood control controlling section is at the flood control results of t; represent that a jth flood control controlling section is at t actual water level, represent the warning line of a jth flood control controlling section in t, for the bed elevation of a jth section, when downstream river course meet flood control require time, flood control safety fraction f _t(F) ∈ [0,1], when (j=1 ..., M), when namely can not meet flood control demand, then f _t(F)=-∞;

B) described navigation performance analysis unit (52) adopts the navigation discharge fraction f of step reservoir downstream river course navigation controlling section _t(S) downstream river course navigation effect is analyzed:

Wherein navigation discharge fraction f _t(S) be obtained by formula 2 below:

$f_t\left(S\right)=\frac{1}{P}\underset{k=1}{\overset{P}{\mathrm{\Σ}}}{p}_k^t$ (formula 2), wherein,

$p_k^t=\left\{\begin{array}{cc}({\mathrm{QS}}_k^t-{\mathrm{QS}}_k^{t,\min })/({\mathrm{QS}}_k^{t,\max }-{\mathrm{QS}}_k^{t,\min })& {\mathrm{QS}}_k^{t,\min }\&le;{\mathrm{QS}}_k^t<{\mathrm{QS}}_k^{t,f}\\ ({\mathrm{QS}}_k^{t,\max }-{\mathrm{QS}}_k^t)/({\mathrm{QS}}_k^{t,\max }-{\mathrm{QS}}_k^{t,\min })& {\mathrm{QS}}_k^{t,f}\&le;{\mathrm{QS}}_k^t\&le;{\mathrm{QS}}_k^{t,\max }\\ -\&infin;& {\mathrm{QS}}_k^t<{\mathrm{QS}}_k^{t,\min }\mathrm{or}{\mathrm{QS}}_k^t>{\mathrm{QS}}_k^{t,\max }\end{array}\right.$

Wherein, f _t(S) be navigation discharge fraction; P is downstream river course navigation controlling section number; for a kth navigation controlling section is in the navigation effect of t; represent the flow of a kth navigation controlling section in t; for the Minimum Navigable flow required for a kth navigation controlling section t, for a kth navigation controlling section is in the optimum navigation discharge of t, for the kth maximum navigation discharge of navigation controlling section required for t;

C) described ecological safety analytic unit (53) adopts the ecological flow approach degree f of step reservoir downstream river course Ecology controlling section _t(E) river channel ecology Guarantee Condition is analyzed:

Wherein ecological flow approach degree f _t(E) be obtained by formula 3 below:

$f_t\left(E\right)=\frac{1}{R}\underset{l=1}{\overset{R}{\mathrm{\&Sigma;}}}{r}_l^t$ (formula 3), wherein,

$r_l^t=\left\{\begin{array}{cc}({\mathrm{QE}}_l^t-{\mathrm{QE}}_l^{t,\min })/({\mathrm{QE}}_l^{t,\max }-{\mathrm{QE}}_l^{t,\min })& {\mathrm{QE}}_l^{t,\min }\&le;{\mathrm{QE}}_l^t<{\mathrm{QE}}_l^{t,f}\\ ({\mathrm{QE}}_l^{t,\max }-{\mathrm{QE}}_l^t)/({\mathrm{QE}}_l^{t,\max }-{\mathrm{QE}}_l^{t,\min })& {\mathrm{QE}}_l^{t,f}\&le;{\mathrm{QE}}_l^t\&le;{\mathrm{QE}}_l^{t,\max }\\ -\&infin;& {\mathrm{QE}}_l^t<{\mathrm{QE}}_l^{t,\min }\mathrm{or}{\mathrm{QE}}_l^t>{\mathrm{QE}}_l^{t,\max }\end{array}\right.$

Wherein, f _t(E) be ecological flow approach degree; R is downstream river course Ecology controlling section number; be the Guarantee Of Environment effect of l Ecology controlling section in t; represent the flow of l Ecology controlling section in t; for the minimum ecological discharge of l Ecology controlling section required for t, be l Ecology controlling section at the optimum ecological flow of t, for the maximum ecological flow of l Ecology controlling section required for t;

D) described water environment ensures that analytic unit (54) adopts the probability of meeting water quality standard f of step reservoir downstream river course water environmental control section _t(Q) river water quality Guarantee Condition is analyzed:

Wherein probability of meeting water quality standard f _t(Q) be obtained by formula 4 below:

$f_t\left(Q\right)=\frac{1}{W}\underset{g=1}{\overset{W}{\mathrm{\&Sigma;}}}{w}_g^t$ (formula 4), wherein,

$w_g^t=\left\{\begin{array}{cc}{\mathrm{SI}}_g^t/{\mathrm{TI}}_g^t& {\mathrm{SI}}_g^t\&GreaterEqual;{\mathrm{SI}}_g^{t,f}\\ -\&infin;& {\mathrm{SI}}_g^t<{\mathrm{SI}}_g^{t,f}\end{array}\right.$

Wherein, f _t(Q) be probability of meeting water quality standard; W is downstream river course water environmental control section number; be the Effects of Water Quality of g section in t; be the up to standard number of g section in the water quality index of t; be the water quality index number of g water environmental control section in t; for the number minimum up to standard of the water quality index that g water environmental control section meets needed for t;

E) the ratio f of the generated energy sum of each step reservoir when described power benefit analytic unit (55) adopts step reservoir actual power generation sum and routine dispactching to run _t(G) power benefit situation is analyzed:

The wherein ratio f of the generated energy sum of each step reservoir _t(G) be obtained by formula 5 below:

F _t(G)=G _ot/ G _dt(formula 5),

Wherein, the actual power generation sum G of step reservoir in scheduling slot _otfor:

$G_{\mathrm{ot}}=\underset{i=1}{\overset{N}{\mathrm{\&Sigma;}}}{N}_i^{t,o}\mathrm{\&Delta;t}$

$N_i^{t,o}=A_i^t{Q}_i^{t,\mathrm{go}}\mathrm{\&Delta;}{H}_i^t$

Wherein, the generated energy sum G of each step reservoir when routine dispactching runs _dtfor:

$G_{\mathrm{dt}}=\underset{i=1}{\overset{N}{\mathrm{\&Sigma;}}}{N}_i^{t,d}\mathrm{\&Delta;t}$

$N_i^{t,d}=A_i^{t,\mathrm{gd}}{Q}_i^{t,\mathrm{gd}}\mathrm{\&Delta;}{H}_i^{t,d}$

Wherein, f _t(G) be the power benefit index of step reservoir; G _otfor the generated energy sum of t period each step reservoir during actual motion; G _dtfor the generated energy sum of t period each step reservoir under management and running pattern routinely, for exerting oneself of reservoir i period t during actual motion, for reservoir i is at the comprehensive power factor of period t; for reservoir i during actual motion is at the generating flow of period t; for reservoir i during actual motion is in the water-head of period t; for scheduling method lower storage reservoir i exerting oneself at period t routinely; for routine dispactching pattern lower storage reservoir i is at the comprehensive power factor of period t, with value is identical; for routine dispactching operational mode lower storage reservoir i is at the generating flow of period t; for routine dispactching operational mode lower storage reservoir i is in the head difference of period t, Δ t is the duration of period t;

F) described scheduling is checked unit (56) and is received flood control results analytic unit (51), navigation performance analysis unit (52), ecological safety analytic unit (53), water environment ensures the analysis result of analytic unit (54), check the existing scheduling mode of step reservoir successively and whether meet flood control, navigation, ecological, water environment obligate requirement, if either side does not meet obligate requirement, show that current reservoir dispatching mode does not have the feasibility continuing to implement at subsequent period, then start adaptive optimization module (6) and carry out adaptive optimization adjustment.

Preferably, obligating requirement described in is: f _t(F), f _t(S), f _t(E), f _t(Q) in, arbitrary value is not all-∞, wherein, and f _t(F) be the flood control safety fraction of reservoir dispatching; f _t(S) be the navigation discharge fraction of reservoir dispatching; f _t(E) be the ecological flow approach degree of reservoir dispatching; f _t(Q) be the probability of meeting water quality standard of reservoir dispatching.

Preferably, described adaptive optimization module (6) is arranged in described Optimization analyses server (76), comprises response analysis unit (61), self adaptation optimizing unit (62), wherein response analysis unit (61) is based on the field data of the long sequence of history, adopts Artificial Neural Network, by the nonlinear response relation function between step reservoir letdown flow and downstream river course controlling section flow, water level, water quality, when scheduling check unit (56) check result that dispatching effect is checked in module (5) shows that current reservoir dispatching mode does not have at next scheduling slot the feasibility continuing to implement, start self adaptation optimizing unit (62), the endogenous reservoir running status data (RS) of being transmitted by the information integerated unit (41) received in multi-source information integration module (4) and the endogenous hydrological forecast data (HP1) of next scheduling slot, and according to nonlinear response relation function, obtain the step reservoir optimal synthesis scheduling scheme at next scheduling slot, described optimal synthesis scheduling scheme is exported to the top layer communication network terminal node (73) of remote control center (7) and is issued to step reservoir enforcement.

The present invention also provides a kind of dispatching method, and it uses the step reservoir Adaptive synthesis dispatching patcher of above-mentioned fusion multi-source information to dispatch, and it comprises:

1) the synchronous access of outer source information: in schedule periods, synchronously receive the various data from the existing scheduling slot outside described dispatching patcher by external source information access module (1) and be stored in the external source information server (71) of remote control center (7), and carry out data integrity check, analyze the default parameters that whether there is white space, blank interval; The regular afferent message integrated unit (41) of data in external source information server (71) is carried out standardization, is concentrated storage and upgrade;

2) the supplementary monitoring of interior source information: when external source information access module (1) have white space, blank interval disappearance data time, start endogenous information acquisition module (2) to carry out supplementing monitoring, gather the various data of white space, blank interval, for making up the disappearance data of external source information access module (1);

The updates that described endogenous information acquisition module (2) gathers import intermediate layer communication network (32) into via distributed information transport module (3), be uploaded to the terminal node (73) of top layer communication network (33) again, be finally stored in the endogenous information server (72) of remote control center (7); The regular afferent message integrated unit (41) of information in endogenous information server (72) is carried out standardization, is concentrated storage and upgrade;

3) fusion of multi-source information: schedule periods is divided into T scheduling slot (t=1, ..., T), when step 1) in external source information access module (1) when the external source weather forecast data (WP1) of next scheduling slot can not be provided, start the weather forecast unit (42) of multi-source information integration module (4), utilize external source meteorological data (WS1) or the endogenous meteorological data (WS2) of the current scheduling period in information integerated unit (41), data-driven method is adopted to generate the endogenous weather forecast data (WP2) of next scheduling slot as a supplement,

Then hydrological forecast unit (43) is started, utilize the external source hydrological data (HS1) of current scheduling period or the external source weather forecast data (WP1) of endogenous hydrological data (HS2) and next scheduling slot or endogenous weather forecast data (WP2), adopt data-driven method to generate the endogenous hydrological forecast data (HP1) of next scheduling slot;

After regularly all kinds of data that external source information access module (1), endogenous information acquisition module (2), weather forecast unit (42), hydrological forecast unit (43) provide being carried out standardization, be stored in the unified information collection in the multi-source information server (74) of remote control center (7), select for dispatching effect analysis module (5) and adaptive optimization module (6);

4) reservoir dispatching effect analysis and check: at the initial time of each scheduling slot, start dispatching effect and check module (5), first use respectively flood control results analytic unit (51), navigation performance analysis unit (52), ecological safety analytic unit (53), water environment guarantee analytic unit (54), power benefit analytic unit (55) to analyze respectively dispatching effect, quantitative basis is provided;

Then use scheduling to check unit (56) receiving and analyzing result, analyze current cascade operation mode and whether meet and obligate requirement: if meet, then do not adjust in this reservoir dispatching mode of next scheduling slot; If either side does not meet obligate requirement, start adaptive optimization module (6) and carry out adaptive optimization adjustment;

5) step reservoir integrated dispatch adaptive analysis: when step 4) check result shows that current reservoir dispatching mode does not meet and obligates when requiring, starts adaptive optimization module (6);

First, use response analysis unit (61), receive the field data of the long sequence of history of information integerated unit (41) in multi-source information integration module (4), adopt Artificial Neural Network, by the nonlinear response relation function between step reservoir letdown flow and downstream river course flow, water level, water quality;

And then, use self adaptation optimizing unit (62), receive the endogenous reservoir running status data (RS) of information integerated unit (41) and the endogenous hydrological forecast data (HP1) of next scheduling slot in multi-source information integration module (4), the nonlinear response relation function simultaneously provided by response analysis unit (61), the analytical method of each analytic unit in module (5) is checked according to dispatching effect, find out can meet flood control simultaneously, navigation, ecological, the letdown flow scope obligating requirement of water environment, and then adopt genetic algorithm to carry out optimizing to the comprehensive effect value under different letdown flow, obtain the step reservoir optimal synthesis scheduling scheme of next scheduling slot,

6) step reservoir integrated dispatch dynamic regulation: by step 5) in the optimal synthesis scheduling scheme that obtains of self adaptation optimizing unit (62), top layer communication network terminal node (73) via remote control center (7) is issued to the control centre of step reservoir, at next scheduling slot by step 5) optimal synthesis scheduling scheme implement;

7) in whole schedule periods, step 1 is repeated)-6).

Preferably, described step 5) in, the optimization method that the self adaptation optimizing unit (62) of described adaptive optimization module (6) adopts is:

A) the Optimization goal TotalTarget of step reservoir integrated dispatch is calculated:

Wherein Optimization goal TotalTarget is obtained by formula 6 below:

TotalTarget=α f _t(F)+β [f _t(G) * f _t(S)]+λ [f _t(E) * f _t(Q)] (formula 6),

Wherein, f _t(F), f _t(G), f _t(S), f _t(E), f _t(Q) the flood control safety fraction of reservoir dispatching, power benefit index, navigation discharge fraction, ecological flow approach degree, probability of meeting water quality standard is respectively; α, β, λ are Wei the weight of every corresponding index, and alpha+beta+λ=1, in the 9-10 month of retaining phase, α=0.45, β=0.35, λ=0.20, in the 11-5 month in dry season, α=0.15, β=0.35, λ=0.50, in the 6-8 month in flood season, α=0.60, β=0.25, λ=0.15;

B) constraints in step reservoir integrated dispatch searching process is calculated:

B1) step reservoir water balance:

Wherein step reservoir water balance is obtained by formula 7 below:

$\left\{\begin{array}{cc}{V}_i^{t+1}=V_i^t+(I_1^t-Q_i^t)\&times;\mathrm{\&Delta;t}& i=1\\ V_i^{t+1}=V_i^t+(Q_{i-1}^t+{\mathrm{ql}}_{i-1,i}^t-Q_i^t)\&times;\mathrm{\&Delta;t}& i=2,...,N\end{array}\right.$ (formula 7),

Wherein, for the average storage capacity of reservoir i in period t+1; for the average storage capacity of reservoir i in period t; for the average reservoir inflow of most upstream one-level reservoir period t; for reservoir i is at the average letdown flow of period t; for the average side reservoir inflow between period t reservoir i-1 to reservoir i, Δ t is the duration of period t;

B2) each step reservoir units limits:

Wherein each step reservoir units limits is obtained by formula 8 below:

$N_i^{t,\min }\&le;N_i^t\&le;N_i^{t,\max }$ (formula 8),

Wherein, be respectively minimum, the maximum output constraint of reservoir i in period t;

B3) step reservoir water storage level and the constraint of water level daily amplitude:

Wherein step reservoir water storage level and the constraint of water level daily amplitude are obtained by formula 9.1 below and formula 9.2:

$Z_i^{t,\min }\&le;Z_i^t\&le;Z_i^{t,\max }$ (formula 9.1),

$\mathrm{\&Delta;}{Z}_i^{t,\min }\&le;{\mathrm{\&Delta;Z}}_i^t\&le;{\mathrm{\&Delta;Z}}_i^{t,\max }$ (formula 9.2),

Wherein, be respectively minimum, the peak level constraint of reservoir i in period t, the corresponding water level restriction of adjustment storage capacity of setting in minimum, the peak level restriction that this constraint comprises that each reservoir itself has and schedule periods, gets common factor part, be respectively the maximum daily amplitude of water level that reservoir i allows in period t, restrictive condition is dam safety, geological condition of reservoir area, reservoir area navigation safety, gets common factor part;

B4) step reservoir letdown flow constraint:

Wherein the constraint of step reservoir letdown flow is obtained by formula 10 below:

$Q_i^{t,\min }\&le;Q_i^t\&le;Q_i^{t,\max }$ (formula 10),

Wherein, be respectively minimum, the maximum letdown flow constraint of reservoir i at period t, this constraint comprises reservoir at constraints b3) under allow letdown flow corresponding to maximum stage daily amplitude, flood control flow, navigation discharge, ecological flow and water environment flow, get common factor part.

The invention has the beneficial effects as follows:

1, the present invention achieves acquisition to multi-source monitoring datas such as endogenous, external sources by multiple modules coupling technology, comprehensively completely can obtain the firsthand information such as meteorology, the hydrology, water quality in real time, avoiding the parameter disappearance occurring white space, blank interval, ensure that by merging multi-source data the reliability implementing step reservoir integrated dispatch simultaneously; In addition, also significantly lower in monitoring cost, the overlapping redundancy between the monitored data avoiding multi-service unit;

2, the invention provides a kind of efficient new-type distributed information transport module, by to mountain area type and the dissimilar sub basin of plain type two kinds, arrange communication node distribution pattern targetedly respectively, improve transmission quality, reverse instruction is transmitted and also there is operability, can also reduce costs simultaneously;

3, the present invention is on the basis of Multi-source Information Fusion, for step reservoir integrated dispatch provides the function of dynamic analysis and check, the self adaptation optimizing and the feedback that additionally provide step reservoir integrated dispatch improve function simultaneously, relative to existing reservoir operation method, the remarkable lifting of the comprehensive benefits such as the flood control to step reservoir, generating, shipping, ecology, water environment can be realized, make step reservoir integrated dispatch have more reasonability with intelligent.

Accompanying drawing explanation

By Figure of description and subsequently together with Figure of description for illustration of the detailed description of the invention of some principle of the present invention, the further feature that the present invention has and advantage will become clear or more specifically be illustrated.

Fig. 1 is the structural representation of the step reservoir Adaptive synthesis dispatching patcher according to fusion multi-source information of the present invention.

Fig. 2 is the configuration diagram of the information communication network according to distributed information transport module of the present invention.

Fig. 3 is according to dispatching method flow chart of the present invention.

Fig. 4 adopts the present invention to implement monitoring station and the controlling cross sectional plane figure of integrated dispatch to certain step reservoir.

Fig. 5 adopts the present invention to the detailed process schematic diagram of certain step reservoir integrated dispatch.

Fig. 6 adopts the present invention to certain step reservoir integrated dispatch and the results contrast figure adopting routine dispactching.

Should understand, Figure of description might not show concrete structure of the present invention pari passu, and in Figure of description, also can take the technique of painting that slightly simplifies for illustration of the n-lustrative feature of some principle of the present invention.Specific design feature of the present invention disclosed herein comprises such as concrete size, direction, position and profile and will partly be determined by the environment specifically will applied and use.

In several accompanying drawings of Figure of description, identical Reference numeral represents identical or equivalent part of the present invention.

Detailed description of the invention

Set forth a lot of detail in the following description so that fully understand the present invention.But the present invention can be much different from alternate manner described here to implement, those skilled in the art can when without prejudice to doing similar popularization when intension of the present invention, therefore the present invention is by the restriction of following public specific embodiment.

Below, by reference to the accompanying drawings specific embodiments of the invention are described.Refer to shown in Fig. 1 to Fig. 6, the invention provides a kind of step reservoir Adaptive synthesis dispatching patcher merging multi-source information.

As shown in Figure 1, the step reservoir Adaptive synthesis dispatching patcher structure of fusion multi-source information of the present invention comprises external source information access module 1, endogenous information acquisition module 2, distributed information transport module 3, multi-source information integration module 4, dispatching effect check module 5, adaptive optimization module 6 and remote control center 7.Wherein:

Described external source information access module 1 comprises meteorological data receiving equipment 11, hydrological data receiving equipment 12, data of water quality receiving equipment 13, weather forecast data receiving equipment 14.

Described endogenous information acquisition module 2 comprises weather monitoring device 21, hydrologic monitoring equipment 22, water quality monitoring equipment 23, reservoir monitoring running state equipment 24;

Described distributed information transport module 3 comprises bottom communication network 31, intermediate layer communication network 32, top layer communication network 33;

Described multi-source information integration module 4 comprises information integerated unit 41, weather forecast unit 42, hydrological forecast unit 43;

Described dispatching effect is checked module 5 and is comprised flood control results analytic unit 51, navigation performance analysis unit 52, ecological safety analytic unit 53, water environment guarantee analytic unit 54, power benefit analytic unit 55, scheduling check unit 56;

Described adaptive optimization module 6 comprises response analysis unit 61, self adaptation optimizing unit 62;

Described remote control center 7 comprises external source information server 71, endogenous information server 72, top layer communication network terminal node 73, multi-source information server 74, performance analysis server 75, Optimization analyses server 76.

In above-mentioned dispatching patcher, the correlation of modules and funtion part is as described below:

By internet encrypted mode, the meteorological data receiving equipment 11 of described external source information access module 1, hydrological data receiving equipment 12, data of water quality receiving equipment 13 are synchronously received in external source meteorological data WS1, external source hydrological data HS1, the external source data of water quality QS1 (present situation data) of the current scheduling period in (hereinafter referred to as basin) in the basin at step reservoir place respectively, and these present situation data are the monitoring gained of the service unit such as meteorological department, hydraulic department, environmental administration come from beyond native system; Weather forecast data receiving equipment 14 then receives the external source weather forecast data WP1 of next scheduling slot that meteorological department provides; First the above data (data) that external source information access module 1 receives is imported into by internet encrypted mode and is stored in the external source information server 71 of remote control center 7.

As shown in Figure 2 and Figure 4, described endogenous information acquisition module 2 is that unit carries out information gathering with sub basin in upstream, basin, the type of sub basin comprises mountain area type sub basin and plain type sub basin two class, upstream needle in basin arranges the monitoring station of different distributions type to dissimilar sub basin, and arrange monitoring station at the crucial controlling section in the river course in the downstream in basin simultaneously, the multi-parameter integral type monitoring equipment of one or more types is set at each monitoring station, gather the endogenous meteorological data WS2 of current scheduling period, endogenous hydrological data HS2, endogenous data of water quality QS2, endogenous reservoir running status data RS (present situation data), for making up external source information access module 1 at white space, the default parameters of blank interval, the above data (data) that endogenous information acquisition module 2 collects is imported in the endogenous information server 72 of remote control center 7 via distributed information transport module 3.

Particularly, mountain area type sub basin adopts tandem monitoring station distribution pattern, to adapt to the feature that mountain area type sub basin has obvious upstream and downstream; And plain type sub basin adopts netted monitoring station distribution pattern, interweave to adapt to the plain type sub basin network of waterways, (plain type sub basin such as shown in Fig. 2 arranges monitoring station 1,2 without the feature of obvious upstream and downstream ... N and mountain area type sub basin arrange monitoring station 1); Meanwhile, described endogenous information acquisition module 2 also arranges multiple monitoring station at the crucial controlling section in lower reaches river course.In the above each monitoring station, be provided with the multi-parameter integral type monitoring equipment of one or more types, described monitoring equipment comprises weather monitoring device 21, hydrologic monitoring equipment 22, water quality monitoring equipment 23, reservoir monitoring running state equipment 24.

Wherein, weather monitoring device 21 comprises rain sensor, wind speed/wind transducer, air-temperature sensor, baroceptor, illumination meter, humidity sensor, can be used for the endogenous meteorological data WS2 of Real-time Collection current scheduling period, it comprises rainfall, wind speed, wind direction, temperature, air pressure, illumination, humidity;

Hydrologic monitoring equipment 22 comprises level sensor, flow transmitter, and can be used for the endogenous hydrological data HS2 of Real-time Collection current scheduling period, it comprises water level, flow;

Water quality monitoring equipment 23 comprises cooling-water temperature sensor, acidity-basicity sensor, dissolved oxygen sensor, permanganate index analyzer, COD sensor, sonde-type algae luminoscope, multi-parameter nutritive salt sensor, can be used for the endogenous data of water quality QS2 of Real-time Collection current scheduling period, it comprises water temperature, pH value, dissolved oxygen, permanganate index, COD, chlorophyll, ammonia nitrogen, total phosphorus, total nitrogen;

Reservoir monitoring running state equipment 24 comprises upstream water level sensor, tailwater elevation sensor, flow transmitter, for the endogenous reservoir running status data RS of Real-time Collection current scheduling period, comprise each step reservoir upper pond level, the level of tail water, storage outflow by flood releasing structure and turbine-generator units;

Each multi-parameter integral type monitoring equipment remains for the bidirectional port be connected with the bottom communication network 31 of distributed information transport module 3 all in advance, successively import data into remote control center 7 by this bidirectional port, also sending instructions for 7 times by this port accepts remote control center controls each monitoring equipment.

How the data (data) that internally source information acquisition module 2 gathers below imports remote control center 7 into via distributed information transport module 3 is described in detail:

As shown in Figure 1, described distributed information transport module 3 adopts three layers of information communication network structure to carry out information bidirectional transmission, namely comprises bottom communication network 31, intermediate layer communication network 32, top layer communication network 33.

As shown in Figure 2, in distributed information transport module 3, arrange the communication node of different distributions type in basin upstream needle to dissimilar sub basin (plain type sub basin and mountain area type sub basin), in the river course of lower reaches, crucial controlling section also arranges communication node simultaneously.

Particularly, in distributed information transport module 3, bottom communication network 31 carries out corresponding space and arranges according to each monitoring station of endogenous information acquisition module 2, adopts tandem communication node distribution pattern in basin upstream needle to mountain area type sub basin; Netted communication node distribution pattern is adopted for plain type sub basin; Bottom communication network 31 in each sub basin comprises a series of communication node (not shown) and routing node, each communication node carries out wired connection with the equipment in the monitoring station of contiguous endogenous information acquisition module 2 by reserved bidirectional port, carries out local area radio networking between simultaneous communications node by local area network wireless mesh network protocol.

Each node (intermediate layer communication network node 1 of intermediate layer communication network 32,2...N) be made up of the sub basin information gathering transmission center being arranged on each sub basin end outlet place, the mode of each node each other by internet encrypted in basin of described intermediate layer communication network 32 is interconnected; After the data (data) of the communication node transmission of above-mentioned bottom communication network 31 is pooled to the sub basin information gathering transmission center of intermediate layer communication network 32, then be uploaded to top layer communication network 33.

Wherein top layer communication network 33 includes at least one top layer communication network terminal node 73, to be arranged in remote control center 7 and with endogenous information server 72 wired connection, top layer communication network terminal node 73 is connected by internet encrypted mode with the sub basin information gathering transmission center of intermediate layer communication network 32 simultaneously.

On the whole, the data (data) that distributed information transport module 3 one aspect gathers for receiving endogenous information acquisition module 2, and successively (bottom communication network 31-intermediate layer communication network 32-top layer communication network 33) is uploaded to storage in remote control center 7, namely bottom communication network 31 is wireless imports intermediate layer communication network 32 into, the top layer communication network terminal node 73 of top layer communication network 33 is uploaded to again by internet encrypted mode, pass through the wired connection of top layer communication network terminal node 73 and endogenous information server 72 again, finally be stored in the endogenous information server 72 of remote control center 7, also the teleinstruction that remote control center 7 issues successively can be issued (top layer communication network 33-intermediate layer communication network 32-bottom communication network 31) each monitoring equipment (on-site terminal) to endogenous information acquisition module 2 on the other hand.

Described multi-source information integration module 4 is arranged in the multi-source information server 74 of remote control center 7, and wherein information integerated unit 41 carries out standardization for the data (data) of the meteorology to separate sources, different time sections, different spatial and temporal resolution, the hydrology, water quality, reservoir running status, concentrates storage and upgrade; Weather forecast unit 42 utilizes the meteorological data of the current scheduling period in information integerated unit 41, adopts data-driven method to generate the weather forecast data of next scheduling slot; The hydrological data of the current scheduling period that hydrological forecast unit 43 utilizes information integerated unit 41 to provide and the weather forecast data of next scheduling slot, adopt data-driven method to generate the hydrological forecast data of next scheduling slot.

Particularly, information integerated unit 41 receives the external source meteorological data WS1 of the current scheduling period that external source information access module 1 and endogenous information acquisition module 2 provide and endogenous meteorological data WS2, external source hydrological data HS1 and endogenous hydrological data HS2, external source data of water quality QS1 and, endogenous data of water quality QS2, the external source weather forecast data WP1 of endogenous reservoir running status data RS (present situation data) and next scheduling slot, and the endogenous hydrological forecast data HP1 of next scheduling slot of the endogenous weather forecast data WP2 of next scheduling slot of weather forecast unit 42 output and hydrological forecast unit 43 output, to these separate sources, the data of different spatial and temporal resolution carry out standardization, concentrate and store and upgrade,

Wherein, only when external source information access module 1 can not provide the external source weather forecast data WP1 of next scheduling slot, just start weather forecast unit 42, utilize the external source meteorological data WS1 of the current scheduling period in information integerated unit 41 or endogenous meteorological data WS2, data-driven method is adopted to implement basin short-range weather prediction, there is provided the endogenous weather forecast data WP2 of next scheduling slot as a supplement, and input to information integerated unit 41 and store;

And hydrological forecast unit 43 utilizes the external source hydrological data HS1 of current scheduling period in information integerated the unit 41 or external source weather forecast data WP1 of endogenous hydrological data HS2 and next scheduling slot or endogenous weather forecast data WP2, data-driven method is adopted to generate the endogenous hydrological forecast data HP1 of next scheduling slot, comprise the hydrologic condition of step reservoir reservoir inflow and crucial control section, and input to information integerated unit 41 and store.

Described dispatching effect is checked module 5 and is arranged in the performance analysis server 75 of remote control center 7, comprise flood control results analytic unit 51, navigation performance analysis unit 52, ecological safety analytic unit 53, water environment ensures analytic unit 54, power benefit analytic unit 55, unit 56 is checked in scheduling, for the initial time at next scheduling slot, by receiving the information that information integerated unit 41 provides, analyze the flood control results of the crucial control section of step reservoir downstream river course respectively, navigation benefit, ecological state, Water Environment Status quo, power benefit and check current reservoir dispatching mode and whether be applicable to next scheduling slot.The initial time of each scheduling slot in schedule periods, starts above-mentioned dispatching effect and checks module 5.

Wherein flood control results analytic unit 51 receives the external source hydrological data HS1 and endogenous hydrological data HS2 that information integerated unit 41 provides, and analyzes the flood control results present situation of downstream river course controlling section; Navigation performance analysis unit 52 receives the external source hydrological data HS1 and endogenous hydrological data HS2 that information integerated unit 41 provides, and analyzes the navigation effect situation of downstream navigation controlling section; Ecological safety analytic unit 53 receives the external source hydrological data HS1 and endogenous hydrological data HS2 that information integerated unit 41 provides, and analyzes the Guarantee Of Environment present situation of the downstream water Ecological Control section under reservoir operation influence on system operation; Water environment ensures that analytic unit 54 receives the external source data of water quality QS1 and endogenous data of water quality QS2 that information integerated unit 41 provides, and analyzes the water quality Guarantee Condition of the downstream key water environmental Kuznets Curves section under reservoir dispatching influence on system operation; Generating effects analysis unit 55 receives the endogenous reservoir running status data RS that information integerated unit 41 provides, and analyzes the power benefit of step reservoir; The analysis result that unit 56 receives above-mentioned analytic unit 51 ~ 54 is checked in scheduling, check successively step reservoir existing scheduling mode whether meet flood control, navigation, ecological, water environment obligate requirement, if either side does not meet obligate requirement, then show that the scheduling mode of current step reservoir does not have the feasibility continuing to implement at next scheduling slot, adaptive optimization module 6 need be started and carry out adaptive optimization adjustment.

Described adaptive optimization module 6 is arranged in the Optimization analyses server 76 of remote control center 7, comprises response analysis unit 61, self adaptation optimizing unit 62; Wherein response analysis unit 61 is for by the nonlinear response relation function between reservoir dispatching letdown flow and step reservoir downstream river course controlling section flow, water level, water quality; Based on this function, self adaptation optimizing unit 62 can play the reservoir dispatching scheme of optimal synthesis benefit at next scheduling slot by calculating, and scheduling scheme is transferred to the top layer communication network terminal node 73 of remote control center 7, successively be issued to each reservoir dispatching center, to implement new Optimized Operation scheme at next scheduling slot;

Wherein response analysis unit 61 is based on the field data of the long sequence of history, adopts Artificial Neural Network, by the nonlinear response relation function between step reservoir letdown flow and downstream river course controlling section flow, water level, water quality, when scheduling check unit 56 check result that dispatching effect is checked in module 5 shows that current reservoir dispatching mode does not have at next scheduling slot the feasibility continuing to implement, start self adaptation optimizing unit 62, the endogenous reservoir running status data RS transmitted by the information integerated unit 41 received in multi-source information the integration module 4 and endogenous hydrological forecast data HP1 of next scheduling slot, the nonlinear response relation function simultaneously provided by response analysis unit 61, find out can meet flood control simultaneously, navigation, ecological, the letdown flow scope obligating requirement of water environment, and then adopt genetic algorithm to carry out optimizing to the comprehensive effect value under letdown flow different within the scope of this, obtain the step reservoir optimal synthesis scheduling scheme that can play optimal synthesis benefit at next scheduling slot, the optimal synthesis scheduling scheme of self adaptation optimizing unit 62 exports to the top layer communication network terminal node (73) of remote control center 7, is successively issued to each step reservoir and implements.

Described remote control center 7, for controlling duty and the back-end data process of above-mentioned each unit, comprises external source information server 71, endogenous information server 72, top layer communication network terminal node 73, multi-source information server 74, performance analysis server 75, Optimization analyses server 76.

The dispatching method using the step reservoir Adaptive synthesis dispatching patcher of above-mentioned fusion multi-source information to carry out dispatching comprises:

1) the synchronous access of outer source information: in schedule periods, synchronously received from the meteorological department outside native system by external source information access module 1, hydraulic department, the external source meteorological data WS1 of the current scheduling period that the service units such as environmental administration are monitored in this basin, external source hydrological data HS1, the external source weather forecast data WP1 of external source data of water quality QS1 (present situation data) and next scheduling slot, these data (data) are first stored in the external source information server 71 of remote control center 7, and carry out data (data) integrity check, analyze and whether there is white space, the default parameters of blank interval, carry out standardization in the regular afferent message integrated unit 41 of data in external source information server 71, concentrate storage and upgrade,

2) the supplementary monitoring of interior source information: when external source information access module 1 have white space, blank interval default parameters time, start endogenous information acquisition module 2 to carry out supplementing monitoring, namely in the sub basin of necessity, start the necessary multi-parameter integral type monitoring equipment of necessary monitoring station, the endogenous meteorological data WS2 of the current scheduling period of collection white space, blank interval, endogenous hydrological data HS2, endogenous data of water quality QS2, endogenous reservoir running status data RS (present situation data), for making up the disappearance data of external source information access module 1;

The updates that described endogenous information acquisition module 2 gathers, first intermediate layer communication network 32 is imported into via the bottom communication network 31 of distributed information transport module 3 is wireless, be uploaded to the top layer communication network terminal node 73 of top layer communication network 33 again by internet encrypted mode, be finally stored in the endogenous information server 72 of remote control center 7; The regular afferent message integrated unit 41 of information in endogenous information server 72 carries out standardization, concentrates storage and upgrade;

3) fusion of multi-source information: schedule periods is divided into T scheduling slot (t=1, ..., T), when step 1) in external source information access module 1 when the external source weather forecast data WP1 of next scheduling slot can not be provided, start the weather forecast unit 42 of multi-source information integration module 4, utilize the external source meteorological data WS1 of the current scheduling period in information integerated unit 41 or endogenous meteorological data WS2, adopt data-driven method to generate the endogenous weather forecast data WP2 of next scheduling slot as a supplement;

Then, start hydrological forecast unit 43, utilize the external source hydrological data HS1 of current scheduling period or the external source weather forecast data WP1 of endogenous hydrological data HS2 and next scheduling slot or endogenous weather forecast data WP2, adopt data-driven method to generate the endogenous hydrological forecast data HP1 of next scheduling slot, comprise crucial control section hydrologic condition, step reservoir reservoir inflow;

After all kinds of separate sources regularly external source information access module 1, endogenous information acquisition module 2, weather forecast unit 42, hydrological forecast unit 43 provided, different time sections, the meteorology of different spatial and temporal resolution, the hydrology, water quality, reservoir running status data carry out standardization, be stored in the unified information collection in the multi-source information server 74 of remote control center 7, select for dispatching effect analysis module 5 and adaptive optimization module 6;

4) reservoir dispatching effect analysis and check: at the initial time of each scheduling slot, start dispatching effect and check module 5, first flood control results analytic unit 51, navigation performance analysis unit 52, ecological safety analytic unit 53, water environment guarantee analytic unit 54, the dispatching effect of power benefit analytic unit 55 to flood control, shipping, Ecology, water environment, generating is used respectively to analyze respectively, for watershed management department provides quantitative basis to the concrete effect that current reservoir dispatching is implemented;

And then, scheduling check unit 56 is used to receive the analysis result of above-mentioned analytic unit 51 ~ 54, analyze the flood control in current cascade operation mode, navigation, ecology, water environment effect whether to meet and obligate requirement: if all satisfied, then do not adjust in this reservoir dispatching mode of next scheduling slot; If either side does not meet obligate requirement, then show that current reservoir dispatching mode does not have the feasibility continuing to implement at next scheduling slot, adaptive optimization module 6 need be started and carry out adaptive optimization adjustment;

Wherein, in dispatching effect check module 5, the concrete analysis computational methods of each analytic unit are as described below:

A) flood control results analytic unit 51 adopts the flood control safety fraction f of step reservoir downstream river course flood control controlling section _t(F) flood control results is analyzed:

Wherein flood control safety fraction f _t(F) obtained by formula 1 below:

$f_t\left(F\right)=\frac{1}{M}\underset{j=1}{\overset{M}{\mathrm{\&Sigma;}}}{m}_j^t$ (formula 1), wherein,

$m_j^t=\left\{\begin{array}{ccc}({\mathrm{ZF}}_j^{t,c}-{\mathrm{ZF}}_j^t)/({\mathrm{ZF}}_j^{t,c}-{\mathrm{ZF}}_j^b)& {\mathrm{ZF}}_j^t\&le;{\mathrm{ZF}}_j^{t,c}& j=1,...,M\\ -\&infin;& {\mathrm{ZF}}_j^t>{\mathrm{ZF}}_j^{t,c}& j=1,...,M\end{array}\right.$

Wherein, f _t(F) be flood control safety fraction; M is downstream river course flood control controlling section number; for a jth flood control controlling section is at the flood control results of t; represent that a jth flood control controlling section is at t actual water level, represent the warning line of a jth flood control controlling section in t, for the bed elevation of a jth section, when downstream river course meet flood control require time, flood control safety fraction f _t(F) ∈ [0,1], when (j=1 ..., M), when namely can not meet flood control demand, then f _t(F)=-∞;

B) performance analysis unit 52 of opening the navigation or air flight adopts the navigation discharge fraction f of step reservoir downstream river course navigation controlling section _t(S) downstream river course navigation effect is analyzed:

Wherein navigation discharge fraction f _t(S) be obtained by formula 2 below:

$f_t\left(S\right)=\frac{1}{P}\underset{k=1}{\overset{P}{\mathrm{\&Sigma;}}}{p}_k^t$ (formula 2), wherein,

$p_k^t=\left\{\begin{array}{cc}({\mathrm{QS}}_k^t-{\mathrm{QS}}_k^{t,\min })/({\mathrm{QS}}_k^{t,\max }-{\mathrm{QS}}_k^{t,\min })& {\mathrm{QS}}_k^{t,\min }\&le;{\mathrm{QS}}_k^t<{\mathrm{QS}}_k^{t,f}\\ ({\mathrm{QS}}_k^{t,\max }-{\mathrm{QS}}_k^t)/({\mathrm{QS}}_k^{t,\max }-{\mathrm{QS}}_k^{t,\min })& {\mathrm{QS}}_k^{t,f}\&le;{\mathrm{QS}}_k^t\&le;{\mathrm{QS}}_k^{t,\max }\\ -\&infin;& {\mathrm{QS}}_k^t<{\mathrm{QS}}_k^{t,\min }\mathrm{or}{\mathrm{QS}}_k^t>{\mathrm{QS}}_k^{t,\max }\end{array}\right.$

Wherein, f _t(S) be navigation discharge fraction; P is downstream river course navigation controlling section number; for a kth navigation controlling section is in the navigation effect of t; represent the flow of a kth navigation controlling section in t; for the Minimum Navigable flow required for a kth navigation controlling section t, for a kth navigation controlling section is in the optimum navigation discharge of t, for the kth maximum navigation discharge of navigation controlling section required for t;

C) ecological safety analytic unit 53 adopts the ecological flow approach degree f of step reservoir downstream river course Ecology controlling section _t(E) river channel ecology Guarantee Condition is analyzed:

Wherein ecological flow approach degree f _t(E) be obtained by formula 3 below:

$f_t\left(E\right)=\frac{1}{R}\underset{l=1}{\overset{R}{\mathrm{\&Sigma;}}}{r}_l^t$ (formula 3), wherein,

$r_l^t=\left\{\begin{array}{cc}({\mathrm{QE}}_l^t-{\mathrm{QE}}_l^{t,\min })/({\mathrm{QE}}_l^{t,\max }-{\mathrm{QE}}_l^{t,\min })& {\mathrm{QE}}_l^{t,\min }\&le;{\mathrm{QE}}_l^t<{\mathrm{QE}}_l^{t,f}\\ ({\mathrm{QE}}_l^{t,\max }-{\mathrm{QE}}_l^t)/({\mathrm{QE}}_l^{t,\max }-{\mathrm{QE}}_l^{t,\min })& {\mathrm{QE}}_l^{t,f}\&le;{\mathrm{QE}}_l^t\&le;{\mathrm{QE}}_l^{t,\max }\\ -\&infin;& {\mathrm{QE}}_l^t<{\mathrm{QE}}_l^{t,\min }\mathrm{or}{\mathrm{QE}}_l^t>{\mathrm{QE}}_l^{t,\max }\end{array}\right.$

Wherein, f _t(E) be ecological flow approach degree; R is downstream river course Ecology controlling section number; be the Guarantee Of Environment effect of l Ecology controlling section in t; represent the flow of l Ecology controlling section in t; for the minimum ecological discharge of l Ecology controlling section required for t, be l Ecology controlling section at the optimum ecological flow of t, for the maximum ecological flow of l Ecology controlling section required for t;

D) water environment ensures that analytic unit 54 adopts the probability of meeting water quality standard f of step reservoir downstream river course water environmental control section _t(Q) river water quality Guarantee Condition is analyzed:

Wherein probability of meeting water quality standard f _t(Q) be obtained by formula 4 below:

$f_t\left(Q\right)=\frac{1}{W}\underset{g=1}{\overset{W}{\mathrm{\&Sigma;}}}{w}_g^t$ (formula 4), wherein,

$w_g^t=\left\{\begin{array}{cc}{\mathrm{SI}}_g^t/{\mathrm{TI}}_g^t& {\mathrm{SI}}_g^t\&GreaterEqual;{\mathrm{SI}}_g^{t,f}\\ -\&infin;& {\mathrm{SI}}_g^t<{\mathrm{SI}}_g^{t,f}\end{array}\right.$

Wherein, f _t(Q) be probability of meeting water quality standard; W is downstream river course water environmental control section number; be the Effects of Water Quality of g section in t; be the up to standard number of g section in the water quality index of t; be the water quality index number of g water environmental control section in t; for the number minimum up to standard of the water quality index that g water environmental control section meets needed for t;

E) the ratio f of the generated energy sum of each step reservoir when power benefit analytic unit 55 adopts step reservoir actual power generation sum and routine dispactching to run _t(G) power benefit situation is analyzed:

The wherein ratio f of the generated energy sum of each step reservoir _t(G) be obtained by formula 5 below:

F _t(G)=G _ot/ G _dt(formula 5), wherein,

Wherein, the actual power generation sum G of step reservoir in scheduling slot _otfor:

$G_{\mathrm{ot}}=\underset{i=1}{\overset{N}{\mathrm{\&Sigma;}}}{N}_i^{t,o}\mathrm{\&Delta;t}$

$N_i^{t,o}=A_i^t{Q}_i^{t,\mathrm{go}}\mathrm{\&Delta;}{H}_i^t$

Wherein, the generated energy sum G of each step reservoir when routine dispactching runs _dtfor:

$G_{\mathrm{dt}}=\underset{i=1}{\overset{N}{\mathrm{\&Sigma;}}}{N}_i^{t,d}\mathrm{\&Delta;t}$

$N_i^{t,d}=A_i^{t,\mathrm{gd}}{Q}_i^{t,\mathrm{gd}}\mathrm{\&Delta;}{H}_i^{t,d}$

Wherein, f _t(G) be the power benefit index of step reservoir; G _otfor the generated energy sum of t period each step reservoir during actual motion; G _dtfor the generated energy sum of t period each step reservoir under management and running pattern routinely, for exerting oneself of reservoir i period t during actual motion, for reservoir i is at the comprehensive power factor of period t; for reservoir i during actual motion is at the generating flow of period t; for reservoir i during actual motion is in the water-head of period t; for scheduling method lower storage reservoir i exerting oneself at period t routinely; for routine dispactching pattern lower storage reservoir i is at the comprehensive power factor of period t, with value is identical; for routine dispactching operational mode lower storage reservoir i is at the generating flow of period t; for routine dispactching operational mode lower storage reservoir i is in the head difference of period t, Δ t is the duration of period t;

F) analysis result that unit 56 receives above-mentioned analytic unit 51 ~ 54 is checked in scheduling, analyze the flood control in current cascade operation mode, navigation, ecology, water environment effect whether to meet and obligate requirement: if all satisfied, then do not adjust in this reservoir dispatching mode of next scheduling slot; If either side does not meet obligate requirement, then show that current reservoir dispatching mode does not have the feasibility continuing to implement at next scheduling slot, adaptive optimization module 6 need be started and carry out adaptive optimization adjustment; Wherein, either side does not meet and obligates requirement and refer to f _t(F), f _t(S), f _t(E), f _t(Q) in, arbitrary value is-∞, wherein, and f _t(F) be the flood control safety fraction of reservoir dispatching; f _t(S) be the navigation discharge fraction of reservoir dispatching; f _t(E) be the ecological flow approach degree of reservoir dispatching; f _t(Q) be the probability of meeting water quality standard of reservoir dispatching;

5) step reservoir integrated dispatch adaptive analysis: when step 4) check result show that current reservoir dispatching mode is not when next scheduling slot has the feasibility continuing to implement, and starts adaptive optimization module 6;

First, use response analysis unit 61, receive the field data of the long sequence of history of information integerated unit 41 in multi-source information integration module 4, adopt Artificial Neural Network, by the nonlinear response relation function between step reservoir letdown flow and downstream river course flow, water level, water quality;

And then, use self adaptation optimizing unit 62, receive the endogenous reservoir running status data RS of current scheduling period and the endogenous hydrological forecast data HP1 of next scheduling slot of information integerated unit 41 in multi-source information integration module 4, the reservoir dispatching letdown flow simultaneously provided by response analysis unit 61 and downstream river course flow, water level, nonlinear response relation function between water quality, according to above-mentioned steps 4) in dispatching effect check the circular of each analytic unit 51 ~ 55 in module 5, find out can meet flood control simultaneously, navigation, ecological, the letdown flow scope obligating requirement of water environment, Optimization goal is to the maximum with reservoir dispatching comprehensive benefit, with the water balance of step reservoir, units limits, restriction of water level, letdown flow is constrained to restrictive condition, and then adopt genetic algorithm to carry out optimizing to the comprehensive effect value under different letdown flow, obtain the step reservoir optimal synthesis scheduling scheme that can play optimal synthesis benefit at next scheduling slot,

Particularly, described adaptive optimization module 6 self adaptation optimizing unit 62 adopt concrete grammar as follows:

A) the Optimization goal TotalTarget of step reservoir integrated dispatch is calculated:

Wherein Optimization goal TotalTarget is obtained by formula 6 below:

TotalTarget=α f _t(F)+β [f _t(G) * f _t(S)]+λ [f _t(E) * f _t(Q)] (formula 6),

Wherein, f _t(F), f _t(G), f _t(S), f _t(E), f _t(Q) the flood control safety fraction of reservoir dispatching, power benefit index, navigation discharge fraction, ecological flow approach degree, probability of meeting water quality standard is respectively; α, β, λ are Wei the weight of every corresponding index, and alpha+beta+λ=1;

B) constraints in step reservoir integrated dispatch searching process is calculated:

B1) step reservoir water balance:

Wherein step reservoir water balance is obtained by formula 7 below:

$\left\{\begin{array}{cc}{V}_i^{t+1}=V_i^t+(I_1^t-Q_i^t)\&times;\mathrm{\&Delta;t}& i=1\\ V_i^{t+1}=V_i^t+(Q_{i-1}^t+{\mathrm{ql}}_{i-1,i}^t-Q_i^t)\&times;\mathrm{\&Delta;t}& i=2,...,N\end{array}\right.$ (formula 7),

Wherein, for the average storage capacity of reservoir i in period t+1; for the average storage capacity of reservoir i in period t; for the average reservoir inflow of most upstream one-level reservoir period t; for reservoir i is at the average letdown flow of period t; for the average side reservoir inflow between period t reservoir i-1 to reservoir i, Δ t is the duration of period t;

B2) each step reservoir units limits:

Wherein each step reservoir units limits is obtained by formula 8 below:

$N_i^{t,\min }\&le;N_i^t\&le;N_i^{t,\max }$ (formula 8),

Wherein, be respectively minimum, the maximum output constraint of reservoir i in period t;

B3) step reservoir water storage level and the constraint of water level daily amplitude:

Wherein step reservoir water storage level and the constraint of water level daily amplitude are obtained by formula 9.1 below and formula 9.2:

$Z_i^{t,\min }\&le;Z_i^t\&le;Z_i^{t,\max }$ (formula 9.1),

$\mathrm{\&Delta;}{Z}_i^{t,\min }\&le;{\mathrm{\&Delta;Z}}_i^t\&le;{\mathrm{\&Delta;Z}}_i^{t,\max }$ (formula 9.2),

Wherein, be respectively minimum, the peak level constraint of reservoir i in period t, the corresponding water level restriction of adjustment storage capacity of setting in minimum, the peak level restriction that this constraint comprises that each reservoir itself has and schedule periods, gets common factor part, be respectively the maximum daily amplitude of water level that reservoir i allows in period t, restrictive condition is dam safety, geological condition of reservoir area, reservoir area navigation safety, gets common factor part;

B4) step reservoir letdown flow constraint:

Wherein the constraint of step reservoir letdown flow is obtained by formula 10 below:

$Q_i^{t,\min }\&le;Q_i^t\&le;Q_i^{t,\max }$ (formula 10),

Wherein, be respectively minimum, the maximum letdown flow constraint of reservoir i at period t, this constraint comprises reservoir at constraints b3) under allow letdown flow corresponding to maximum stage daily amplitude, flood control flow, navigation discharge, ecological flow and water environment flow, get common factor part;

6) step reservoir integrated dispatch dynamic regulation: by step 5) in self adaptation optimizing unit 62 export optimal synthesis scheduling scheme, top layer communication network terminal node 73 via remote control center 7 is successively issued to the control centre of each step reservoir, at next scheduling slot by step 5) new departure implement;

7) in whole schedule periods, step 1 is repeated)-6).

Below specific embodiments of the invention are described in detail.In the present embodiment, three step reservoirs chosen on tributary, the Changjiang river are scheduler object, use step reservoir Adaptive synthesis dispatching patcher and the dispatching method of fusion multi-source information provided by the invention, carry out the integrated dispatch of described three step reservoirs.The master stream total length in this tributary is about 380km, total drop is 1430m, hydraulic power potentials enriches, exploit condition is good, for rational exploitation and utilization water resource, carry out cascade development, built dam D1, dam D2, dam D3 (as shown in Figure 4) totally three power stations respectively from the downstream of swimming in this tributary, defined step reservoir.Above-mentioned step reservoir has had the comprehensive benefit of generating, flood control, shipping, ecology, water environment concurrently.

Endogenous information acquisition module 2 does not arrange the data such as meteorological data and weather forecast data, the hydrology, water quality of the sub basin of weather monitoring station for gathering weather monitoring department.As shown in Figure 4, the basin gross area is about 500km ²by catchment, basin is divided into 40 sub basin (wherein, mountain area type sub basin 35, plain type sub basin 5), wherein there is the permanent weather monitoring station of weather monitoring Department formation in 30 sub basin, a weather information can be issued every 6 hours, comprise rainfall, wind speed, wind direction, temperature, air pressure, illumination, humidity; Other 10 sub basin (comprising 6 mountain area type sub basin, 4 plain type sub basin) are due to meagrely-populated, physical features is dangerously steep, permanent weather monitoring station is not set temporarily, therefore when implementing scheduling, for making up the not enough problem of permanent weather monitoring station distribution, multiple monitoring station is set in the sub basin that permanent weather monitoring station is not set, the multi-parameter integral type monitoring equipment of one or more types is set at each monitoring station.Wherein at least include built-in integral multifunctional weather monitoring device 21 in monitoring station, it comprises rain sensor, wind speed/wind transducer, air-temperature sensor, baroceptor, illumination meter, humidity sensor, Contents for Monitoring is identical with permanent weather monitoring station with the frequency, comprises amount of precipitation, wind speed, wind direction, temperature, air pressure, illumination, humidity.

Rain sensor adopts the CG-04 model of Qing Sheng Electronic Science and Technology Co., Ltd., and measurement category is 0 ~ 80mm/h, and certainty of measurement is ± 0.2mm, and resolution ratio is 0.3mm, holds footpath, the mouth of a river and is wind speed/wind transducer adopts the CEM inductosyn of the gloomy wound electronics in Shanghai, and measurement category is 0 ~ 80m/s, and precision is 0.3m/s resolution ratio is 0.1m/s, and wind direction measurement category is 0 ~ 360 °, and precision is 4 °, and resolution ratio is 1 °; Air-temperature sensor adopts Shanghai with the DT-8891D model doubly detecting Science and Technology Ltd., and measurement category is-30 ~ 55 DEG C, and precision is 0.5 DEG C, and resolution ratio is 0.1 DEG C; Baroceptor adopts Hao Jie Electron equipment Co., Ltd PTJ501 model, measurement category is 0 ~ 100Kpa, synthesis precision is 0.5%FS, 1.0%FS, illumination meter adopts the LI-250A model of Hai Huayan plant and instrument Co., Ltd, can show instantaneous intensity of illumination or the average of intensity of illumination in 15 seconds; Company's T H-101B model during humidity sensor employing virtue, humidity error 5% ~ 8%.

In above-mentioned monitoring station, the monitoring station (monitoring point) of controlling section comprises hydrologic monitoring equipment 22, and it comprises level sensor, flow sensor, for measuring water level, the flow of river controlling section.Wherein, level sensor adopts Hangzhou Mei Kong Autotek S. r. l. MIK-P260 model, measurement category is 0 ~ 200m, certainty of measurement is 0.01m, flow-speed measurement adopts the acoustic Doppler velocimetry of Rowe Technologies company of the U.S., can long-time continuous monitoring river course flow velocity, measurement category 0.001m/s-30m/s, resolution ratio and precision are 0.01m/s, be arranged in sub basin outlet, two warehouse-in place, tributaries between dam and downstream flood control, navigation, ecological, water environmental control section, after Measure section each several part mean flow rate, by calling the controlling section information of multi-source information integration module 4, adopt velocity_area method, the flow of measuring and calculating controlling section.

The monitoring station of controlling section also comprises water quality monitoring equipment 23, be made up of multiparameter water quality analyzer, adopt the WDC-PC03 multiparameter water quality analyzer that Zhong Kepuchuan Science and Technology Ltd. produces in the present embodiment, built-in cooling-water temperature sensor, acidity-basicity sensor, dissolved oxygen sensor, permanganate index analyzer, COD sensor, sonde-type algae luminoscope, multi-parameter nutritive salt sensor, be arranged in downstream river course water environmental control section, for Real-time Collection data of water quality, as water temperature, pH value, dissolved oxygen, permanganate index, COD, chlorophyll, ammonia nitrogen, total phosphorus, total nitrogen etc.

As shown in Figure 4, in this example, arrange 3 flood control controlling sections (namely control flood controlling section F in downstream ₁, F ₂, F ₃), (namely open the navigation or air flight 2 navigation controlling sections controlling section S ₁, S ₂), 2 Ecology controlling section (i.e. Ecology controlling section E ₁, E ₂), 2 water environmental control section (i.e. water environmental control section Q ₁, Q ₂), the constraints of above-mentioned different controlling section is provided by local hydraulic department, environmental administration, and as shown in Figure 3, be dispatching method flow chart of the present invention, concrete scheduling process comprises:

1) the synchronous access of outer source information: in schedule periods, synchronously received from the external source meteorological data WS1 of the current scheduling period of monitoring in this basin of each business department, external source hydrological data HS1, external source data of water quality QS1 by external source information access module 1, and the external source weather forecast data WP1 of next scheduling slot that weather forecast department provides; First data is stored in the external source information server 71 of remote control center 7;

2) the supplementary monitoring of interior source information: for sub basin and the control section of above-mentioned external source loss of learning, the supplementary monitoring of source information in implementing, comprise the endogenous meteorological data WS2 of the current scheduling period of weather monitoring station, endogenous hydrological data HS2, endogenous data of water quality QS2, endogenous reservoir running status data RS, for making up the data defect of external source information access module 1;

The updates that described endogenous information acquisition module 2 gathers, first intermediate layer communication network 32 is imported into via the bottom communication network 31 of distributed information transport module 3 is wireless, be uploaded to the terminal node 73 of top layer communication network 33 again by internet encrypted mode, be finally stored in the endogenous information server 72 of remote control center 7;

3) fusion of multi-source information: schedule periods is divided into T scheduling slot (t=1, ..., T), when external source information access module 1 cannot provide the external source weather forecast data WP1 of next scheduling slot, start the weather forecast unit 42 of multi-source information integration module 4, utilize the external source meteorological data WS1 of the current scheduling period in information integerated unit 41 or endogenous meteorological data WS2, adopt data-driven method to generate the endogenous weather forecast data WP2 of next scheduling slot as a supplement; Then, start hydrological forecast unit 43, utilize the endogenous hydrological data HS2 of current scheduling period and the external source weather forecast data WP1 of next scheduling slot or endogenous weather forecast data WP2, adopt data-driven method to generate the endogenous hydrological forecast data HP1 of next scheduling slot, comprise crucial control section hydrologic condition, step reservoir reservoir inflow; And then, after all kinds of separate sources regularly external source information access module 1, endogenous information acquisition module 2, weather forecast unit 42, hydrological forecast unit 43 provided, different time sections, the meteorology of different spatial and temporal resolution, the hydrology, water quality, reservoir running status data carry out standardization, be stored in the unified information collection in the multi-source information server 74 of remote control center 7, select for dispatching effect analysis module 5 and adaptive optimization module 6;

4) reservoir dispatching effect analysis and check: at the initial time of each scheduling slot, start dispatching effect and check module 5, use flood control results analytic unit 51, navigation performance analysis unit 52, ecological safety analytic unit 53, water environment guarantee analytic unit 54, power benefit analytic unit 55 to adopt and analyze respectively flood control, generating, shipping, Ecology, water environment dispatching effect with the following method first respectively:

A) flood control results analytic unit 51 adopts the flood control safety fraction f of step reservoir downstream river course flood control controlling section _t(F) flood control results is analyzed:

Wherein flood control safety fraction f _t(F) be obtained by formula 1 below:

$f_t\left(F\right)=\frac{1}{3}\underset{j=1}{\overset{3}{\mathrm{\&Sigma;}}}{m}_j^t$ (formula 1), wherein,

$m_j^t=\left\{\begin{array}{ccc}({\mathrm{ZF}}_j^{t,c}-{\mathrm{ZF}}_j^t)/({\mathrm{ZF}}_j^{t,c}-{\mathrm{ZF}}_j^b)& {\mathrm{ZF}}_j^t\&le;{\mathrm{ZF}}_j^{t,c}& j=1,\mathrm{2,3}\\ -\&infin;& {\mathrm{ZF}}_j^t>{\mathrm{ZF}}_j^{t,c}& j=1,\mathrm{2,3}\end{array}\right.$

Wherein, represent that the jth in downstream river course 3 flood control controlling section controls flood controlling section at t actual water level, represent a jth flood control controlling section t warning line, for the bed elevation of a jth section; When satisfied flood control requires, safety guarantee rate f _t(F) ∈ [0,1], when time, when can not meet flood control demand, make f _t(F)=-∞;

B) performance analysis unit 52 of opening the navigation or air flight adopts the navigation discharge fraction f of step reservoir downstream river course navigation controlling section _t(S) downstream river course navigation effect situation is analyzed:

Wherein navigation discharge fraction f _t(S) be obtained by formula 2 below:

$f_t\left(S\right)=\frac{1}{2}\underset{k=1}{\overset{2}{\mathrm{\&Sigma;}}}{p}_k^t$ (formula 2), wherein,

$p_k^t=\left\{\begin{array}{cc}({\mathrm{QS}}_k^t-{\mathrm{QS}}_k^{t,\min })/({\mathrm{QS}}_k^{t,\max }-{\mathrm{QS}}_k^{t,\min })& {\mathrm{QS}}_k^{t,\min }\&le;{\mathrm{QS}}_k^t<{\mathrm{QS}}_k^{t,f}\\ ({\mathrm{QS}}_k^{t,\max }-{\mathrm{QS}}_k^t)/({\mathrm{QS}}_k^{t,\max }-{\mathrm{QS}}_k^{t,\min })& {\mathrm{QS}}_k^{t,f}\&le;{\mathrm{QS}}_k^t\&le;{\mathrm{QS}}_k^{t,\max }\\ -\&infin;& {\mathrm{QS}}_k^t<{\mathrm{QS}}_k^{t,\min }\mathrm{or}{\mathrm{QS}}_k^t>{\mathrm{QS}}_k^{t,\max }\end{array}\right.$

Wherein, represent the flow of the kth navigation controlling section in downstream river course in 2 navigation controlling sections in t; for the Minimum Navigable flow required for a jth navigation controlling section t, for a jth optimum navigation discharge of navigation controlling section t, for the maximum navigation discharge required for a jth navigation controlling section t;

C) ecological safety analytic unit 53 adopts the ecological flow approach degree f of step reservoir downstream river course Ecology controlling section _t(E) river channel ecology Guarantee Condition is analyzed:

Wherein ecological flow approach degree f _t(E) be obtained by formula 3 below:

$f_t\left(E\right)=\frac{1}{2}\underset{l=1}{\overset{2}{\mathrm{\&Sigma;}}}{r}_l^t$ (formula 3), wherein,

$r_l^t=\left\{\begin{array}{cc}({\mathrm{QE}}_l^t-{\mathrm{QE}}_l^{t,\min })/({\mathrm{QE}}_l^{t,\max }-{\mathrm{QE}}_l^{t,\min })& {\mathrm{QE}}_l^{t,\min }\&le;{\mathrm{QE}}_l^t<{\mathrm{QE}}_l^{t,f}\\ ({\mathrm{QE}}_l^{t,\max }-{\mathrm{QE}}_l^t)/({\mathrm{QE}}_l^{t,\max }-{\mathrm{QE}}_l^{t,\min })& {\mathrm{QE}}_l^{t,f}\&le;{\mathrm{QE}}_l^t\&le;{\mathrm{QE}}_l^{t,\max }\\ -\&infin;& {\mathrm{QE}}_l^t<{\mathrm{QE}}_l^{t,\min }\mathrm{or}{\mathrm{QE}}_l^t>{\mathrm{QE}}_l^{t,\max }\end{array}\right.$

Wherein, represent the flow of l Ecology controlling section in t of 2 Ecology controlling sections in downstream river course; for the minimum ecological discharge of l Ecology controlling section required for t, be l the optimum ecological flow of Ecology controlling section t, for the maximum ecological flow of l Ecology controlling section required for t;

D) water environment ensures that analytic unit 54 adopts the probability of meeting water quality standard f of step reservoir downstream river course water environmental control section _t(Q) river water quality Guarantee Condition is analyzed:

Wherein probability of meeting water quality standard f _t(Q) be obtained by formula 4 below:

$f_t\left(Q\right)=\frac{1}{2}\underset{g=1}{\overset{2}{\mathrm{\&Sigma;}}}{w}_g^t$ (formula 4), wherein,

$w_g^t=\left\{\begin{array}{cc}{\mathrm{SI}}_g^t/{\mathrm{TI}}_g^t& {\mathrm{SI}}_g^t\&GreaterEqual;{\mathrm{SI}}_g^{t,f}\\ -\&infin;& {\mathrm{SI}}_g^t<{\mathrm{SI}}_g^{t,f}\end{array}\right.$

Wherein, for g water environmental control section of W in downstream river course water environmental control section is at the probability of meeting water quality standard of t, represent the up to standard water quality number of downstream river course g water environmental control section in t; be the water quality index number of g water environmental control section in t; for the number of the water quality minimum up to standard that g water environmental control section meets needed for t;

E) the ratio f of the generated energy sum of each step reservoir when power benefit analytic unit 55 adopts step reservoir actual power generation sum and routine dispactching to run _t(G) (power benefit index) analyzes power benefit situation:

The wherein ratio f of the generated energy sum of each step reservoir _t(G) be obtained by formula 5 below:

F _t(G)=G _ot/ G _dt(formula 5),

Wherein, the actual power generation sum G of step reservoir in scheduling slot _otfor:

$G_{\mathrm{ot}}=\underset{i=1}{\overset{3}{\mathrm{\&Sigma;}}}{N}_i^{t,o}\mathrm{\&Delta;t},N_i^{t,o}=A_i^t{Q}_i^{t,\mathrm{go}}\mathrm{\&Delta;}{H}_i^t$

Wherein, the generated energy sum G of each step reservoir when routine dispactching runs _dtfor:

$G_{\mathrm{dt}}=\underset{i=1}{\overset{3}{\mathrm{\&Sigma;}}}{N}_i^{t,d}\mathrm{\&Delta;t},N_i^{t,d}=A_i^{t,\mathrm{gd}}{Q}_i^{t,\mathrm{gd}}\mathrm{\&Delta;}{H}_i^{t,d}$

Wherein, f _t(G) be the power benefit index of step reservoir; G _otfor the generated energy sum of t period each step reservoir during actual motion; G _dtfor the generated energy sum of t period each step reservoir under management and running pattern routinely, for exerting oneself of reservoir i period t during actual motion, for the comprehensive power factor of reservoir i period t, value is between 7.5-8.5; for reservoir i period t generating flow during actual motion; for reservoir i period t water-head during actual motion; for exerting oneself of scheduling method lower storage reservoir i period t routinely; for the comprehensive power factor of i period t under routine dispactching pattern, with value is identical; for routine dispactching operational mode lower storage reservoir i period t generating flow; for routine dispactching operational mode lower storage reservoir i period t head difference, Δ t is the duration of t;

5) step reservoir integrated dispatch adaptive analysis: use scheduling check unit 56 receive above-mentioned steps 4) in each analytic unit acquired results, analyze the flood control in current cascade operation mode, navigation, ecology, whether water environment effect meets local hydraulic department, environmental administration provides obligates requirement: if all satisfied, then do not adjust in this reservoir dispatching mode of next scheduling slot; If either side does not meet obligate requirement, i.e. f _t(F), f _t(S), f _t(E), f _t(Q) in, arbitrary value is-∞, then show that current reservoir dispatching mode does not have the feasibility continuing to implement at next scheduling slot, need start adaptive optimization module and carry out adaptive optimization adjustment;

When step 4) check result show that current reservoir dispatching mode is not when next scheduling slot has the feasibility continuing to implement, and starts adaptive optimization module 6;

First, response analysis unit 61 is used to receive the field data of the long sequence of history of information integerated unit 41 in multi-source information integration module 4, adopt Artificial Neural Network, by the nonlinear response relation function between reservoir dispatching letdown flow and downstream river course flow, water level, water quality, and then, use self adaptation optimizing unit 62, receive the endogenous reservoir running status data RS of information integerated the unit 41 and endogenous hydrological forecast data HP1 of next scheduling slot in multi-source information integration module 4, the reservoir dispatching letdown flow simultaneously provided by response analysis unit 61 and downstream river course flow, water level, nonlinear response relation function between water quality, according to following optimization method, find out can meet flood control simultaneously, navigation, ecological, the letdown flow scope obligating requirement of water environment, and then adopt genetic algorithm to carry out optimizing to the comprehensive effect value under different letdown flow, obtain the step reservoir optimal synthesis scheduling scheme that can play optimal synthesis benefit at next scheduling slot,

The concrete grammar that the self adaptation optimizing unit 62 of described adaptive optimization module 6 adopts the following is the Optimization goal TotalTarget calculating step reservoir integrated dispatch according to following formula 6:

TotalTarget=α f _t(F)+β [f _t(G) * f _t(S)]+λ [f _t(E) * f _t(Q)] (formula 6),

Wherein f _t(F), f _t(G), f _t(S), f _t(E), f _t(Q) the flood control safety fraction of reservoir dispatching, power benefit index, navigation discharge fraction, ecological flow approach degree, probability of meeting water quality standard is respectively; α, β, λ are Wei the weight of every corresponding index, and alpha+beta+λ=1, give each index different weighted value at different scheduling slot (retaining phase, dry season, flood season), in the retaining phase (the 9-10 month), α=0.45, β=0.35, λ=0.20, dry season (the 11-5 month) α=0.15, β=0.35, λ=0.50, flood season (the 6-8 month) α=0.60, β=0.25, λ=0.15;

Wherein, according to the constraints b1 in above-mentioned step reservoir integrated dispatch searching process)-b4) retrain;

6) step reservoir integrated dispatch dynamic regulation: by step 5) in self adaptation optimizing unit export optimal synthesis scheduling scheme, oppositely successively be issued to the control centre of each step reservoir via the top layer communication network terminal node of remote control center, at next scheduling slot by step 5) new departure implement;

7) in whole schedule periods, step 1 is repeated) to 6).

The concrete scheduling process of above-mentioned steps as shown in Figure 5, according to above-mentioned steps, annual integrated dispatch is implemented to step reservoir, the annual letdown flow process of dam D3 as shown in Figure 6, the annual generated energy of step reservoir reaches 9,000,000,000 kWh, increase by 5.25% than routine dispactching, and flood control, navigation, ecological, water environment all meet constraints, step reservoir comprehensive benefit is maximized.

Above-described embodiment is for illustrative principle of the present invention and effect thereof, but the present invention is not limited to above-mentioned embodiment.Those skilled in the art all without prejudice under spirit of the present invention and category, in claims, can modify to above-described embodiment.Therefore protection scope of the present invention, should cover as claims of the present invention.

Claims (10)

1. one kind merges the step reservoir Adaptive synthesis dispatching patcher of multi-source information, it is characterized in that: described dispatching patcher comprises: external source information access module (1), endogenous information acquisition module (2), distributed information transport module (3), multi-source information integration module (4), dispatching effect check module (5), adaptive optimization module (6) and remote control center (7), wherein:

Described external source information access module (1) adopts internet encrypted mode synchronously to receive the external source weather forecast data (WP1) of the external source meteorological data (WS1) of the current scheduling period beyond from described dispatching patcher, external source hydrological data (HS1), external source data of water quality (QS1) and next scheduling slot, and the data storage that described external source information access module (1) receives is in remote control center (7);

The monitoring station that the upstream needle that described endogenous information acquisition module (2) is included in step reservoir is arranged dissimilar sub basin and the monitoring station that crucial controlling section is arranged in mining under reservoir river course, each monitoring station arranges the multi-parameter integral type monitoring equipment of one or more types to gather the endogenous meteorological data (WS2) of current scheduling period, endogenous hydrological data (HS2), endogenous data of water quality (QS2), endogenous reservoir running status data (RS), for making up external source information access module (1) at white space, the default parameters of blank interval, the data that described endogenous information acquisition module (2) gathers is imported in remote control center (7) via distributed information transport module (3),

The communication node that the upstream needle that described distributed information transport module (3) is included in step reservoir is arranged dissimilar sub basin and the communication node that crucial controlling section is arranged in mining under reservoir river course; Described distributed information transport module (3) adopts three layers of information communication network structure to carry out information bidirectional transmission, with on the one hand for receiving the data that endogenous information acquisition module (2) gathers, and be successively uploaded to storage in remote control center (7), and the teleinstruction that remote control center (7) issue successively can be issued to endogenous information acquisition module (2) on the other hand;

Described multi-source information integration module (4) is centrally stored in remote control center (7) after the data of external source information access module (1), endogenous information acquisition module (2) is carried out standardization, and can produce weather forecast data and the hydrological forecast data of next scheduling slot;

Described dispatching effect is checked module (5) and is arranged in remote control center (7), described dispatching effect checks module (5) can at the initial time of each scheduling slot, by receiving the information that multi-source information integration module (4) provides, analyze the flood control results of the crucial control section of downstream river course, navigation benefit, ecological state, Water Environment Status quo and step reservoir power benefit, and check current reservoir regulation mode and whether be applicable to next scheduling slot;

Described adaptive optimization module (6) is arranged in remote control center (7), described adaptive optimization module (6) can by calculating the reservoir dispatching scheme that can play optimal synthesis benefit at next scheduling slot, and scheduling scheme is transferred to remote control center (7), then the control room of step reservoir is issued to, to implement new Optimized Operation scheme at next scheduling slot;

Described remote control center (7) and described external source information access module (1), endogenous information acquisition module (2), distributed information transport module (3), multi-source information integration module (4), dispatching effect checks module (5), adaptive optimization module (6) communication connection is with the duty and the back-end data process that control modules, described remote control center (7) comprises external source information server (71), endogenous information server (72), top layer communication network terminal node (73), multi-source information server (74), performance analysis server (75), Optimization analyses server (76).

2. the step reservoir Adaptive synthesis dispatching patcher of fusion multi-source information according to claim 1, it is characterized in that: comprise mountain area type sub basin and plain type sub basin at the sub basin of the upstream of described step reservoir, wherein, adopt tandem monitoring station distribution pattern at described mountain area type sub basin, adopt netted monitoring station distribution pattern at plain type sub basin;

Weather monitoring device (21), hydrologic monitoring equipment (22), water quality monitoring equipment (23), reservoir monitoring running state equipment (24) is comprised in each monitoring station;

Wherein said weather monitoring device (21) comprises rain sensor, wind speed/wind transducer, air-temperature sensor, baroceptor, illumination meter, humidity sensor;

Described hydrologic monitoring equipment (22) comprises level sensor, flow transmitter;

Described water quality monitoring equipment (23) comprises cooling-water temperature sensor, acidity-basicity sensor, dissolved oxygen sensor, permanganate index analyzer, COD sensor, sonde-type algae luminoscope, multi-parameter nutritive salt sensor;

Described reservoir monitoring running state equipment (24) comprises upstream water level sensor, tailwater elevation sensor, flow transmitter;

Each monitoring equipment remains for the bidirectional port be connected with distributed information transport module (3) all in advance, and import the data monitored into remote control center (7) by described bidirectional port, and send instructions to control each monitoring equipment under remote control center (7) can being received by described bidirectional port; Wherein, the data storage that receives of described external source information access module (1) is in described external source information server (71); The data storage that described endogenous information acquisition module (2) gathers is in described endogenous information server (72).

3. the step reservoir Adaptive synthesis dispatching patcher of fusion multi-source information according to claim 1, is characterized in that: described distributed information transport module (3) comprises bottom communication network (31), intermediate layer communication network (32), top layer communication network (33);

Wherein said bottom communication network (31) adopts tandem communication node distribution pattern at mountain area type sub basin, adopts netted communication node distribution pattern at plain type sub basin; Bottom communication network (31) in each sub basin comprises multiple communication node and routing node, each communication node carries out wired connection with contiguous monitoring equipment by described bidirectional port, carries out local area radio networking between each communication node by local area network wireless procotol simultaneously;

Each node in described intermediate layer communication network (32) is made up of the sub basin information gathering transmission center being arranged on each sub basin end outlet place, and the mode by internet encrypted between the node in described intermediate layer communication network (32) is interconnected; The data sink of the communication node transmission of described bottom communication network (31) after the sub basin information gathering transmission center of intermediate layer communication network (32), then is uploaded to top layer communication network (33);

Described top layer communication network (33) includes at least one top layer communication network terminal node (73), described top layer communication network terminal node (73) to be arranged in remote control center (7) and with endogenous information server (72) wired connection, and terminal node (73) is connected by internet encrypted mode with the sub basin information gathering transmission center of intermediate layer communication network (32).

4. the step reservoir Adaptive synthesis dispatching patcher of fusion multi-source information according to claim 1, is characterized in that: described multi-source information integration module (4) comprises information integerated unit (41), weather forecast unit (42), hydrological forecast unit (43);

Wherein said information integerated unit (41) receives the external source meteorological data (WS1) of current scheduling period, external source hydrological data (HS1), the endogenous meteorological data (WS2) of external source data of water quality (QS1) and current scheduling period, endogenous hydrological data (HS2), endogenous data of water quality (QS2), the external source weather forecast data (WP1) of endogenous reservoir running status data (RS) and next scheduling slot, the endogenous weather forecast data (WP2) of next scheduling slot that weather forecast unit (42) exports, the endogenous hydrological forecast data (HP1) of next scheduling slot that hydrological forecast unit (43) exports, and standardization is carried out to the data received, concentrate and store and upgrade,

Wherein, only when described external source information access module (1) can not provide the external source weather forecast data (WP1) of next scheduling slot, start weather forecast unit (42), utilize external source meteorological data (WS1) or the endogenous meteorological data (WS2) of the current scheduling period received in information integerated unit (41), adopt data-driven method implement basin short-range weather predict and the endogenous weather forecast data (WP2) that next scheduling slot is provided as a supplement, and endogenous weather forecast data (WP2) is inputed to information integerated unit (41) storage,

Described hydrological forecast unit (43) to utilize in information integerated unit (41) the external source hydrological data (HS1) of current scheduling period or the external source weather forecast data (WP1) of endogenous hydrological data (HS2) and next scheduling slot or endogenous weather forecast data (WP2), adopts data-driven method generate the endogenous hydrological forecast data (HP1) of next scheduling slot and endogenous hydrological forecast data (HP1) inputed to information integerated unit (41) and store.

5. the step reservoir Adaptive synthesis dispatching patcher of fusion multi-source information according to claim 4, it is characterized in that: described dispatching effect is checked module (5) and is arranged in performance analysis server (75), described dispatching effect check module (5) comprises flood control results analytic unit (51), navigation performance analysis unit (52), ecological safety analytic unit (53), water environment guarantee analytic unit (54), power benefit analytic unit (55) and scheduling and checks unit (56); The initial time of each scheduling slot in schedule periods, each analytic unit started in described dispatching effect check module (5) is analyzed.

6. the step reservoir Adaptive synthesis dispatching patcher of fusion multi-source information according to claim 5, is characterized in that: the analytical method that described dispatching effect checks each analytic unit in module (5) is respectively:

A) described flood control results analytic unit (51) adopts the flood control safety fraction f of step reservoir downstream river course flood control controlling section _t(F) flood control results is analyzed:

Wherein flood control safety fraction f _t(F) be obtained by formula 1 below:

$f_t\left(F\right)=\frac{1}{M}\underset{j=1}{\overset{M}{\mathrm{\&Sigma;}}}{m}_j^t$ (formula 1), wherein,

$m_j^t=\left\{\begin{array}{ccc}({\mathrm{ZF}}_j^{t,c}-{\mathrm{ZF}}_j^t)/({\mathrm{ZF}}_j^{t,c}-{\mathrm{ZF}}_j^b)& {\mathrm{ZF}}_j^t\&le;{\mathrm{ZF}}_j^{t,c}& j=1,...,M\\ -\&infin;& {\mathrm{ZF}}_j^t>{\mathrm{ZF}}_j^{t,c}& j=1,...,M\end{array}\right.$

Wherein, f _t(F) be flood control safety fraction; M is downstream river course flood control controlling section number; for a jth flood control controlling section is at the flood control results of t; represent that a jth flood control controlling section is at t actual water level, represent the warning line of a jth flood control controlling section in t, for the bed elevation of a jth section, when downstream river course meet flood control require time, flood control safety fraction f _t(F) ∈ [0,1], when (j=1 ..., M), when namely can not meet flood control demand, then f _t(F)=-∞;

B) described navigation performance analysis unit (52) adopts the navigation discharge fraction f of step reservoir downstream river course navigation controlling section _t(S) downstream river course navigation effect is analyzed:

Wherein navigation discharge fraction f _t(S) be obtained by formula 2 below:

$f_t\left(S\right)=\frac{1}{P}\underset{k=1}{\overset{P}{\mathrm{\&Sigma;}}}{p}_k^t$ (formula 2), wherein,

$p_k^t=\left\{\begin{array}{cc}({\mathrm{QS}}_k^t-{\mathrm{QS}}_k^{t,\min })/({\mathrm{QS}}_k^{t,\max }-{\mathrm{QS}}_k^{t,\min })& {\mathrm{QS}}_k^{t,\min }\&le;{\mathrm{QS}}_k^t<{\mathrm{QS}}_k^{t,f}\\ ({\mathrm{QS}}_k^{t,\max }-{\mathrm{QS}}_k^t)/({\mathrm{QS}}_k^{t,\max }-{\mathrm{QS}}_k^{t,\min })& {\mathrm{QS}}_k^{t,f}\&le;{\mathrm{QS}}_k^t\&le;{\mathrm{QS}}_k^{t,\max }\\ -\&infin;& {\mathrm{QS}}_k^t<{\mathrm{QS}}_k^{t,\min }\mathrm{or}{\mathrm{QS}}_k^t>{\mathrm{QS}}_k^{t,\max }\end{array}\right.$

Wherein, f _t(S) be navigation discharge fraction; P is downstream river course navigation controlling section number; for a kth navigation controlling section is in the navigation effect of t; represent the flow of a kth navigation controlling section in t; for the Minimum Navigable flow required for a kth navigation controlling section t, for a kth navigation controlling section is in the optimum navigation discharge of t, for the kth maximum navigation discharge of navigation controlling section required for t;

C) described ecological safety analytic unit (53) adopts the ecological flow approach degree f of step reservoir downstream river course Ecology controlling section _t(E) river channel ecology Guarantee Condition is analyzed:

Wherein ecological flow approach degree f _t(E) be obtained by formula 3 below:

$f_t\left(E\right)=\frac{1}{R}\underset{l=1}{\overset{R}{\mathrm{\&Sigma;}}}{r}_l^t$ (formula 3), wherein,

$r_l^t=\left\{\begin{array}{cc}({\mathrm{QE}}_l^t-{\mathrm{QE}}_l^{t,\min })/({\mathrm{QE}}_l^{t,\max }-{\mathrm{QE}}_l^{t,\min })& {\mathrm{QE}}_l^{t,\min }\&le;{\mathrm{QE}}_l^t<{\mathrm{QE}}_l^{t,f}\\ ({\mathrm{QE}}_l^{t,\max }-{\mathrm{QE}}_l^t)/({\mathrm{QE}}_l^{t,\max }-{\mathrm{QE}}_l^{t,\min })& {\mathrm{QE}}_l^{t,f}\&le;{\mathrm{QE}}_l^t\&le;{\mathrm{QE}}_l^{t,\max }\\ -\&infin;& {\mathrm{QE}}_l^t<{\mathrm{QE}}_l^{t,\min }\mathrm{or}{\mathrm{QE}}_l^t>{\mathrm{QE}}_l^{t,\max }\end{array}\right.$

Wherein, f _t(E) be ecological flow approach degree; R is downstream river course Ecology controlling section number; be the Guarantee Of Environment effect of l Ecology controlling section in t; represent the flow of l Ecology controlling section in t; for the minimum ecological discharge of l Ecology controlling section required for t, be l Ecology controlling section at the optimum ecological flow of t, for the maximum ecological flow of l Ecology controlling section required for t;

D) described water environment ensures that analytic unit (54) adopts the probability of meeting water quality standard f of step reservoir downstream river course water environmental control section _t(Q) river water quality Guarantee Condition is analyzed:

Wherein probability of meeting water quality standard f _t(Q) be obtained by formula 4 below:

$f_t\left(Q\right)=\frac{1}{W}\underset{g=1}{\overset{W}{\mathrm{\&Sigma;}}}{w}_g^t$ (formula 4), wherein,

$w_g^t=\left\{\begin{array}{cc}{\mathrm{SI}}_g^t/{\mathrm{TI}}_g^t& {\mathrm{SI}}_g^t\&GreaterEqual;{\mathrm{SI}}_g^{t,f}\\ -\&infin;& {\mathrm{SI}}_g^t<{\mathrm{SI}}_g^{t,f}\end{array}\right.$

Wherein, f _t(Q) be probability of meeting water quality standard; W is downstream river course water environmental control section number; be the Effects of Water Quality of g section in t; be the up to standard number of g section in the water quality index of t; be the water quality index number of g water environmental control section in t; for the number minimum up to standard of the water quality index that g water environmental control section meets needed for t;

E) the ratio f of the generated energy sum of each step reservoir when described power benefit analytic unit (55) adopts step reservoir actual power generation sum and routine dispactching to run _t(G) power benefit situation is analyzed:

The wherein ratio f of the generated energy sum of each step reservoir _t(G) be obtained by formula 5 below:

F _t(G)=G _ot/ G _dt(formula 5),

Wherein, the actual power generation sum G of step reservoir in scheduling slot _otfor:

$G_{\mathrm{ot}}=\underset{i=1}{\overset{N}{\mathrm{\&Sigma;}}}{N}_i^{t,o}\mathrm{\&Delta;t}$

$N_i^{t,o}=A_i^t{Q}_i^{t,\mathrm{go}}\mathrm{\&Delta;}{H}_i^t$

Wherein, the generated energy sum G of each step reservoir when routine dispactching runs _dtfor:

$G_{\mathrm{dt}}=\underset{i=1}{\overset{N}{\mathrm{\&Sigma;}}}{N}_i^{t,d}\mathrm{\&Delta;t}$

$N_i^{t,d}=A_i^{t,\mathrm{gd}}{Q}_i^{t,\mathrm{gd}}\mathrm{\&Delta;}{H}_i^{t,d}$

Wherein, f _t(G) be the power benefit index of step reservoir; G _otfor the generated energy sum of t period each step reservoir during actual motion; G _dtfor the generated energy sum of t period each step reservoir under management and running pattern routinely, for exerting oneself of reservoir i period t during actual motion, for reservoir i is at the comprehensive power factor of period t; for reservoir i during actual motion is at the generating flow of period t; for reservoir i during actual motion is in the water-head of period t; for scheduling method lower storage reservoir i exerting oneself at period t routinely; for routine dispactching pattern lower storage reservoir i is at the comprehensive power factor of period t, with value is identical; for routine dispactching operational mode lower storage reservoir i is at the generating flow of period t; for routine dispactching operational mode lower storage reservoir i is in the head difference of period t, Δ t is the duration of period t;

F) described scheduling is checked unit (56) and is received flood control results analytic unit (51), navigation performance analysis unit (52), ecological safety analytic unit (53), water environment ensures the analysis result of analytic unit (54), check the existing scheduling mode of step reservoir successively and whether meet flood control, navigation, ecological, water environment obligate requirement, if either side does not meet obligate requirement, show that current reservoir dispatching mode does not have the feasibility continuing to implement at subsequent period, then start adaptive optimization module (6) and carry out adaptive optimization adjustment.

7. the step reservoir Adaptive synthesis dispatching patcher of fusion multi-source information according to claim 6, is characterized in that: described in obligate requirement and be: f _t(F), f _t(S), f _t(E), f _t(Q) in, arbitrary value is not all-∞, wherein, and f _t(F) be the flood control safety fraction of reservoir dispatching; f _t(S) be the navigation discharge fraction of reservoir dispatching; f _t(E) be the ecological flow approach degree of reservoir dispatching; f _t(Q) be the probability of meeting water quality standard of reservoir dispatching.

8. the step reservoir Adaptive synthesis dispatching patcher of fusion multi-source information according to claim 7, it is characterized in that: described adaptive optimization module (6) is arranged in described Optimization analyses server (76), comprise response analysis unit (61), self adaptation optimizing unit (62);

Wherein said response analysis unit (61), based on the field data of the long sequence of history, adopts Artificial Neural Network, by the nonlinear response relation function between step reservoir letdown flow and downstream river course controlling section flow, water level, water quality;

When scheduling check unit (56) check result that described dispatching effect is checked in module (5) shows that current reservoir dispatching mode does not have at next scheduling slot the feasibility continuing to implement, start self adaptation optimizing unit (62), the endogenous reservoir running status data (RS) of being transmitted by the information integerated unit (41) received in multi-source information integration module (4) and the endogenous hydrological forecast data (HP1) of next scheduling slot, and according to nonlinear response relation function, obtain the step reservoir optimal synthesis scheduling scheme at next scheduling slot,

Described optimal synthesis scheduling scheme is exported to the top layer communication network terminal node (73) of remote control center (7) and is issued to step reservoir enforcement.

9. a dispatching method, it uses the step reservoir Adaptive synthesis dispatching patcher of the fusion multi-source information according to any one of claim 1-8 to dispatch, and described dispatching method comprises:

1) the synchronous access of outer source information: in schedule periods, synchronously receive the various data from the existing scheduling slot outside described dispatching patcher by external source information access module (1) and be stored in the external source information server (71) of remote control center (7), and carry out data integrity check, analyze the default parameters that whether there is white space, blank interval; The regular afferent message integrated unit (41) of data in external source information server (71) is carried out standardization, is concentrated storage and upgrade;

2) the supplementary monitoring of interior source information: when external source information access module (1) have white space, blank interval disappearance data time, start endogenous information acquisition module (2) to carry out supplementing monitoring, gather the various data of white space, blank interval, for making up the disappearance data of external source information access module (1);

The updates that described endogenous information acquisition module (2) gathers import intermediate layer communication network (32) into via distributed information transport module (3), be uploaded to the terminal node (73) of top layer communication network (33) again, be finally stored in the endogenous information server (72) of remote control center (7); The regular afferent message integrated unit (41) of information in endogenous information server (72) is carried out standardization, is concentrated storage and upgrade;

3) fusion of multi-source information: schedule periods is divided into T scheduling slot (t=1, ..., T), when step 1) in external source information access module (1) when the external source weather forecast data (WP1) of next scheduling slot can not be provided, start the weather forecast unit (42) of multi-source information integration module (4), utilize external source meteorological data (WS1) or the endogenous meteorological data (WS2) of the current scheduling period in information integerated unit (41), data-driven method is adopted to generate the endogenous weather forecast data (WP2) of next scheduling slot as a supplement,

Then hydrological forecast unit (43) is started, utilize the external source hydrological data (HS1) of current scheduling period or the external source weather forecast data (WP1) of endogenous hydrological data (HS2) and next scheduling slot or endogenous weather forecast data (WP2), adopt data-driven method to generate the endogenous hydrological forecast data (HP1) of next scheduling slot;

After regularly all kinds of data that external source information access module (1), endogenous information acquisition module (2), weather forecast unit (42), hydrological forecast unit (43) provide being carried out standardization, be stored in the unified information collection in the multi-source information server (74) of remote control center (7), select for dispatching effect analysis module (5) and adaptive optimization module (6);

4) reservoir dispatching effect analysis and check: at the initial time of each scheduling slot, start dispatching effect and check module (5), first use respectively flood control results analytic unit (51), navigation performance analysis unit (52), ecological safety analytic unit (53), water environment guarantee analytic unit (54), power benefit analytic unit (55) to analyze respectively dispatching effect, quantitative basis is provided;

Then use scheduling to check unit (56) receiving and analyzing result, analyze current cascade operation mode and whether meet and obligate requirement: if meet, then do not adjust in this reservoir dispatching mode of next scheduling slot; If either side does not meet obligate requirement, start adaptive optimization module (6) and carry out adaptive optimization adjustment;

5) step reservoir integrated dispatch adaptive analysis: when step 4) check result shows that current reservoir dispatching mode does not meet and obligates when requiring, starts adaptive optimization module (6);

First, use response analysis unit (61), receive the field data of the long sequence of history of information integerated unit (41) in multi-source information integration module (4), adopt Artificial Neural Network, by the nonlinear response relation function between step reservoir letdown flow and downstream river course flow, water level, water quality;

And then, use self adaptation optimizing unit (62), receive the endogenous reservoir running status data (RS) of information integerated unit (41) and the endogenous hydrological forecast data (HP1) of next scheduling slot in multi-source information integration module (4), the nonlinear response relation function simultaneously provided by response analysis unit (61), the analytical method of each analytic unit in module (5) is checked according to dispatching effect, find out can meet flood control simultaneously, navigation, ecological, the letdown flow scope obligating requirement of water environment, and then adopt genetic algorithm to carry out optimizing to the comprehensive effect value under different letdown flow, obtain the step reservoir optimal synthesis scheduling scheme of next scheduling slot,

6) step reservoir integrated dispatch dynamic regulation: by step 5) in the optimal synthesis scheduling scheme that obtains of self adaptation optimizing unit (62), top layer communication network terminal node (73) via remote control center (7) is issued to the control centre of step reservoir, at next scheduling slot by step 5) optimal synthesis scheduling scheme implement;

7) in whole schedule periods, step 1 is repeated)-6).

10. dispatching method according to claim 9, is characterized in that: described step 5) in, the optimization method that the self adaptation optimizing unit (62) of described adaptive optimization module (6) adopts is:

A) the Optimization goal TotalTarget of step reservoir integrated dispatch is calculated:

Wherein Optimization goal TotalTarget is obtained by formula 6 below:

TotalTarget=α f _t(F)+β [f _t(G) * f _t(S)]+λ [f _t(E) * f _t(Q)] (formula 6),

Wherein, f _t(F), f _t(G), f _t(S), f _t(E), f _t(Q) the flood control safety fraction of reservoir dispatching, power benefit index, navigation discharge fraction, ecological flow approach degree, probability of meeting water quality standard is respectively; α, β, λ are Wei the weight of every corresponding index, and alpha+beta+λ=1, in the 9-10 month of retaining phase, α=0.45, β=0.35, λ=0.20, in the 11-5 month in dry season, α=0.15, β=0.35, λ=0.50, in the 6-8 month in flood season, α=0.60, β=0.25, λ=0.15;

B) constraints in step reservoir integrated dispatch searching process is calculated:

B1) step reservoir water balance:

Wherein step reservoir water balance is obtained by formula 7 below:

$\left\{\begin{array}{cc}{V}_i^{t+1}=V_i^t+(I_1^t-Q_i^t)\&times;\mathrm{\&Delta;t}& i=1\\ V_i^{t+1}=V_i^t+(Q_{i-1}^t+{\mathrm{ql}}_{i-1,i}^t-Q_i^t)\&times;\mathrm{\&Delta;t}& i=2,...,N\end{array}\right.$ (formula 7),

Wherein, for the average storage capacity of reservoir i in period t+1; for the average storage capacity of reservoir i in period t; for the average reservoir inflow of most upstream one-level reservoir period t; for reservoir i is at the average letdown flow of period t; for the average side reservoir inflow between period t reservoir i-1 to reservoir i, Δ t is the duration of period t;

B2) each step reservoir units limits:

Wherein each step reservoir units limits is obtained by formula 8 below:

$N_i^{t,\min }\&le;N_i^t\&le;N_i^{t,\max }$ (formula 8),

Wherein, be respectively minimum, the maximum output constraint of reservoir i in period t;

B3) step reservoir water storage level and the constraint of water level daily amplitude:

Wherein step reservoir water storage level and the constraint of water level daily amplitude are obtained by formula 9.1 below and formula 9.2:

$Z_i^{t,\min }\&le;Z_i^t\&le;Z_i^{t,\max }$ (formula 9.1),

$\mathrm{\&Delta;}{Z}_i^{t,\min }\&le;{\mathrm{\&Delta;Z}}_i^t\&le;{\mathrm{\&Delta;Z}}_i^{t,\max }$ (formula 9.2),

Wherein, be respectively minimum, the peak level constraint of reservoir i in period t, the corresponding water level restriction of adjustment storage capacity of setting in minimum, the peak level restriction that this constraint comprises that each reservoir itself has and schedule periods, gets common factor part, be respectively the maximum daily amplitude of water level that reservoir i allows in period t, restrictive condition is dam safety, geological condition of reservoir area, reservoir area navigation safety, gets common factor part;

B4) step reservoir letdown flow constraint:

Wherein the constraint of step reservoir letdown flow is obtained by formula 10 below:

$Q_i^{t,\min }\&le;Q_i^t\&le;Q_i^{t,\max }$ (formula 10),

Wherein, be respectively minimum, the maximum letdown flow constraint of reservoir i at period t, this constraint comprises reservoir at constraints b3) under allow letdown flow corresponding to maximum stage daily amplitude, flood control flow, navigation discharge, ecological flow and water environment flow, get common factor part.