CN110348121A - A kind of reply streamflow change adaptability regulation of hydroelectric system and evaluation method and system - Google Patents
A kind of reply streamflow change adaptability regulation of hydroelectric system and evaluation method and system Download PDFInfo
- Publication number
- CN110348121A CN110348121A CN201910624424.8A CN201910624424A CN110348121A CN 110348121 A CN110348121 A CN 110348121A CN 201910624424 A CN201910624424 A CN 201910624424A CN 110348121 A CN110348121 A CN 110348121A
- Authority
- CN
- China
- Prior art keywords
- hydroelectric system
- reservoir
- regulation
- hydroelectric
- water
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/004—Artificial life, i.e. computing arrangements simulating life
- G06N3/006—Artificial life, i.e. computing arrangements simulating life based on simulated virtual individual or collective life forms, e.g. social simulations or particle swarm optimisation [PSO]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
Abstract
The invention discloses a kind of reply streamflow change adaptability regulations of hydroelectric system and evaluation method and system, belong to the technical field of hydraulic engineering.Include the following steps: generally to change hydroelectric system according to hydraulic connection, power communication；Construct the hydroelectric system multiple target integrated distribution model regulated and controled towards adaptability；Construct adaptability regulating strategy system and regulation and control scheme；Different regulation and control schemes are simulated using hydroelectric system multiple target integrated distribution model；Solving model, analysis regulatory mechanism, evaluation regulating effect.The present invention is in a mathematical format generally changed hydroelectric system, realize the mapping from existing actual conditions to mathematical expression, according to the scheduler task of hydroelectric system, determine objective function, constraint condition, build the hydroelectric system multiple target integrated distribution model towards adaptability regulation, it constructs adaptability regulating strategy, formulate adaptability regulation and control scheme, using intelligent algorithm solving model, analyze regulatory mechanism, evaluation regulating effect.
Description
Technical field
The invention belongs to the technical fields of hydroelectric system regulation and assessment technique in hydraulic engineering, more particularly to one kind
Hydroelectric system copes with the regulation of streamflow change adaptability and evaluation method and system.
Background technique
Global average temperature increases, size of population sustainable growth and socio-economic activity constantly enhance, cause basin precipitation,
Evaporation, underlying surface, offstream water use etc. change.The double influence of climate variation and mankind's activity, basin river flow
Different degrees of variation has occurred in time space distribution, has deepened the uncertainty of water resource and hydraulic power potentials.After variation
Runoff undoubtedly can the method for operation to the large-scale hydroelectric project in hydroelectric system and comprehensive benefit have an impact, especially these water
Can electrical engineering still play design efficiency under new runoff conditions and there is uncertainty.In this context, proposition one is needed
The hydroelectric system adaptability regulation of kind reply streamflow change and assessment technique, find feasible or potential regulation measure, liquidate diameter
Influence of the rheology to hydroelectric system, to ensure the safe and economical operation of complicated hydropower system.
Summary of the invention
Goal of the invention: propose that a kind of hydroelectric system copes with the regulation of streamflow change adaptability and evaluation method, to ensure complexity
The safe and economical operation of hydropower system.
Technical solution: a kind of reply streamflow change adaptability regulation of hydroelectric system and evaluation method specifically include following step
It is rapid:
Step 1 generally changes hydroelectric system according to hydraulic connection, power communication；
The hydroelectric system multiple target integrated distribution model that step 2, building regulate and control towards adaptability；
Step 3, building adaptability regulating strategy system and regulation and control scheme；
Step 4 simulates different regulation-control models using hydroelectric system multiple target integrated distribution model；
Step 5, solving model, analysis regulatory mechanism, evaluation regulating effect.
In a further embodiment, the step 1 is further are as follows:
According to hydraulic connection, the power communication between reservoir in hydroelectric system, hydroelectric system is generally melted into a mathematical format
The generalization system being made of three kinds of node, line, plane elements realizes the mapping from existing actual conditions to mathematical expression, is water
The regulation of electric system adaptability provides topological relation physically with evaluation modeling.
In a further embodiment, the hydroelectric system interior joint element includes hydroelectric project node, control section section
Point；Hydraulic connection of the line element between node, including river, channel；Flat elemental is basin subregion.
In a further embodiment, the step 2 further includes steps of
Step 21 is restored to use as the main target of hydroelectric system reply streamflow change adaptability regulation using generated energy
Relaxation Theory is constrained, regard power generation target as elementary object, by others flood control, water supply, shipping targeted transformation at constraint condition,
The Optimal Scheduling of multiple target is converted to single-objective problem and optimizes calculating, determines that hydroelectric system power generation total amount is up to
Objective function, expression formula are as follows:
In formula: E is the power generation total amount of hydroelectric system；I is power station/reservoir serial number；T is calculation interval；N is water power
It stands/the number of reservoir；Number of segment or the scheduling end of term timing when T is schedule periods；Ni,tPower generation for i-th of reservoir in the t period goes out
Power；Δ t is the hourage of calculation interval t；
Step 22, the water balance for determining each library, the water level in each library, the flow in each library, minimum load, the hydraulic turbine are found out in advance
The constraint conditions such as the first last water level control of power, schedule periods, range of stage, flow luffing:
(1) water balance constrains
Vi,t=Vi,t-1+(Qi,t-qfi,t-Ji,t-Si,t)·Δt
In formula: Vi,tFor i-th of reservoir, the pondage of t period Mo；Vi,t-1For storage capacity at the beginning of the period；Qi,tFor storage
Flow；qfi,tFor generating flow；Ji,tTo abandon water flow；Si,tTo lose flow；
(2) upper limit, lower limit restriction of water level
In formula: Zi,tFor the calculating water level of i-th of reservoir t moment；Zi,t For the lower limit water level of permission；For permission
Upper limit water level；
(3) maximum, minimum discharge constraint
qi,min≤qfi,t≤qfi,max
In formula: qfi,tFor the generating flow of i-th of reservoir t period；qi,minMeet each task most for i-th of reservoir
Small letdown flow；qfi,maxFor the maximum discharge capacity of water turbine set；
(4) minimum load constrains
N i,t≤Ni,t
In formula: Ni,tFor the calculating power output of i-th of reservoir t period；N i,tFor minimum load requirement；
(5) hydraulic turbine envisions units limits
Ni,t≤min{NHi,t,NYi}
In formula: NHi,tFor the anticipation power output of i-th of reservoir t period, it is special that the comprehensive operating of the hydraulic turbine is looked into according to productive head
Known to linearity curve；NYiFor the installed capacity of i-th of reservoir, when productive head is more than or equal to Design of Hydraulic Turbine head,
Power output NY can be issuedi；
(6) schedule periods just, end of term water level control
In formula: ZisFor the calculating water level in i-th of reservoir operation beginning；For the control water level at the beginning of schedule periods；ZieFor scheduling
The calculating water level in the end of term；For the control water level for dispatching the end of term；
(7) range of stage constrains
|Zi,t+1-Zi,t|≤ΔZi
In formula: Zi,t+1For the calculating water level at i-th of reservoir t+1 moment；ΔZiThe maximum stage allowed for i-th of reservoir
Luffing；
(8) flow luffing constrains
|qi,t+1-qi,t|≤Δqi
In formula: qi,tFor the letdown flow of i-th of reservoir t period, including qfi,tAnd Ji,t；qi,t+1For i-th of reservoir t
The storage outflow at+1 moment；ΔqiThe maximum letdown flow luffing allowed for i-th of reservoir；
Step 23 does Restriction condition treat according to the constraint condition that step 22 is listed, and the concept for introducing penalty function realizes this
Class constraint condition is shown below using the improved objective function of penalty function:
In formula: Y is the constraint condition quantity handled using penalty function；For penalty coefficient, when current constraints meetWhen current constraints are unsatisfactory forβyTo punish index；Si,t,yIt is constrained for i-th y-th of the reservoir t period
The value of variable；The critical value not being destroyed for i-th of reservoir t period, y-th of constraint condition.
In a further embodiment, the scheme of the step 3 specifically includes following:
The regulating strategy that scheme 31, multi-reservoir scheduling mode optimize, by combining to the multi-reservoir in hydroelectric system
Scheduling becomes unordered storage and discharges water to cooperate with to store and discharge water, and comprehensive regulation hydroelectric system water and head restore hydroelectric system generated energy；
The regulating strategy that scheme 32, rain-flood resources utilize is controlled under the premise of not increasing hydroelectric system risk by dynamic
Limited Water Level of Reservoir in Flood Season processed improves rain-flood resources and utilizes, and increases the effective runoff supply of hydroelectric system, regulates and controls hydroelectric system water, extensive
Rehydration electric system generated energy；
Scheme 33, the regulating strategy adjusted with water behavior by adjusting social-economic structures, promote a water-saving society to build
It is extensive if increasing effective runoff supply of hydropower system indirectly to reduce offstream water use, regulating and controlling hydroelectric system water
Rehydration electric system generated energy；
Regulation and control scheme is formulated according to above-mentioned Different Strategies, Different Strategies is combined and formulates comprehensive regulation scheme.
In a further embodiment, the step 4 is further are as follows:
According to the regulation and control scheme formulated in step 3, the calculating of the hydroelectric system multiple target integrated distribution model of building is set
Condition simulates different regulation and control schemes with this.
In a further embodiment, the step 5 further includes steps of
Step 51, initiation parameter, comprising: population scale, particle initial position, particle initial velocity, operation terminate item
Part；
Step 52 generates initial population；
Step 53, the fitness that particle is calculated according to the improved objective function of use penalty function, obtain individual optimal solution
And globally optimal solution；
The position of step 54, more new particle and flying speed, calculation formula are as follows:
In formula: i=1,2 ..., m；J=1,2 ..., n；ω is inertia weight；c1、c2For the acceleration of particle flight acceleration
Degree, is constant, general value 2；r1j、r2jFor random number, obey U (0,1)；Item reflection particle present speed,Reflect that particle current location is the embodiment of individual cognition at a distance from itself current optimal solution,Reflect that particle current location is the embodiment of information exchange at a distance from the current optimal solution of population；
Operational process of each reservoir under adaptability regulation in hydroelectric system can be obtained after step 55, solving model,
Adaptability regulatory mechanism is analyzed according to operational process, evaluates regulating effect according to hydroelectric system power generation total amount.
A kind of reply streamflow change adaptability regulation of hydroelectric system and evaluation system, including following module:
For being contacted according to water conservancy, power communication generally change the first module of hydroelectric system；
For constructing the second module of the hydroelectric system multiple target integrated distribution model towards adaptability regulation；
For constructing the third module of adaptability regulating strategy system and regulation and control scheme；
For simulating the 4th module of different regulation-control models using hydroelectric system multiple target integrated distribution model；
For solving model, the 5th module analyzed regulatory mechanism, evaluate regulating effect.
In a further embodiment, first module is further used for according to the waterpower connection between reservoir in hydroelectric system
Hydroelectric system is generally melted into the generalization system being made of three kinds of node, line, plane elements by system, power communication in a mathematical format
System realizes the mapping from existing actual conditions to mathematical expression, regulates and controls for hydroelectric system adaptability and provides physically with evaluation modeling
Topological relation generally change hydroelectric system；
Second module is further used for establishing hydroelectric system power generation total amount according to multiple target and being up to objective function,
Expression formula are as follows:
In formula: E is the power generation total amount of hydroelectric system；I is power station/reservoir serial number；T is calculation interval；N is water power
It stands/the number of reservoir；Number of segment or the scheduling end of term timing when T is schedule periods；Ni,tPower generation for i-th of reservoir in the t period goes out
Power；Δ t is the hourage of calculation interval t；
Then determine the water balance in each library, the water level in each library, the flow in each library, minimum load, hydraulic turbine anticipation power output,
The constraint conditions such as the first last water level control of schedule periods, range of stage, flow luffing；
Restriction condition treat is done according to the constraint condition that step 22 is listed, the concept for introducing penalty function realizes this kind of constraint item
Part is shown below using the improved objective function of penalty function:
In formula: Y is the constraint condition quantity handled using penalty function；For penalty coefficient, when current constraints meetWhen current constraints are unsatisfactory forβyTo punish index；Si,t,yIt is constrained for i-th y-th of the reservoir t period
The value of variable；The critical value not being destroyed for i-th of reservoir t period, y-th of constraint condition；
Three module is further used for establishing the regulating strategy of multi-reservoir scheduling mode optimization, the tune that rain-flood resources utilize
The regulating strategy that control is tactful, is adjusted with water behavior, combines Different Strategies and formulates comprehensive regulation scheme.
In a further embodiment, the 4th module is further used for according to the regulation plan formulated in Different Strategies
Slightly, the design conditions of the hydroelectric system multiple target integrated distribution model of building are set, different regulation and control schemes are simulated with this；
5th module is further used for using PSO Algorithm model, can obtain in hydroelectric system after solving model
Operational process of each reservoir under adaptability regulation, analyzes adaptability regulatory mechanism according to operational process, according to hydroelectric system
The total amount that generates electricity evaluates regulating effect, and the calculation formula of PSO Algorithm model is as follows:
In formula: i=1,2 ..., m；J=1,2 ..., n；ω is inertia weight；c1、c2For the acceleration of particle flight acceleration
Degree, is constant, general value 2；r1j、r2jFor random number, obey U (0,1)；Item reflection particle present speed,Reflect that particle current location is the embodiment of individual cognition at a distance from itself current optimal solution,Reflect that particle current location is the embodiment of information exchange at a distance from the current optimal solution of population.
Beneficial effects of the present invention: firstly, being in a mathematical format generally melted into hydroelectric system by node, line, plane three
The generalization system of kind element composition, realizes the mapping from existing actual conditions to mathematical expression, and actual conditions digitlization is compensated for
Uncertainty in hydroelectric system, efficient, safety.
Secondly, determining objective function, constraint condition according to the scheduler task of hydroelectric system, build towards adaptability tune
Target refinement is improved the accuracy of regulation and assessment by the hydroelectric system multiple target integrated distribution model of control.
Again, in order to which the river flow variation that liquidates influences hydroelectric system, based on the optimization of multi-reservoir scheduling mode, rain flood money
Source utilize, with water behavior adjust etc. visual angles, building adaptability regulating strategy system, formulate adaptability regulation and control scheme；Finally, using
Intelligent algorithm solving model, analysis regulatory mechanism, evaluation regulating effect.To find feasible or potential regulation measure, liquidate diameter
Influence of the rheology to hydroelectric system ensures the safe and economical operation of complicated hydropower system, provides the skill of complete set
Art method.
Detailed description of the invention
Fig. 1 is the flow chart of the method for the present invention.
Fig. 2 is that hydroelectric system generally changes schematic diagram.
Specific embodiment
In the following description, a large amount of concrete details is given so as to provide a more thorough understanding of the present invention.
It is, however, obvious to a person skilled in the art that the present invention may not need one or more these details and
It is carried out.In other examples, in order to avoid obscuring with mode of the present invention, for some technical characteristics well known in the art
It is not described.
It is applicant's understanding that the double influence of climate variation and mankind's activity, basin river flow time space distribution hair
Different degrees of variation has been given birth to, the uncertainty of water resource and hydraulic power potentials has been deepened.Runoff after variation undoubtedly can be to water
The method of operation and comprehensive benefit of large-scale hydroelectric project in electric system have an impact, and especially can these hydroelectric projects new
Runoff conditions under still play design efficiency exist it is uncertain, and at present can not under new runoff conditions to water
Effective assessment is done in the influence of electric system bring, herein on applicant think the safety of hydroelectric system and economic benefit is
Less than guarantee.
In order to solve technical problem of the existing technology, the present invention provides a kind of hydroelectric system reply streamflow change is suitable
The regulation of answering property and evaluation method and system, to ensure the safe and economical operation of complicated hydropower system.
The present invention be generally melted into according to hydraulic connection, the power communication between reservoir in hydroelectric system, by hydroelectric system by node,
The generalization system of line, three kinds of elements of plane composition, realizes the mapping from existing actual conditions to mathematical expression, suitable for hydroelectric system
The regulation of answering property provides topological relation physically with evaluation modeling.According to the scheduler task of hydroelectric system, the target of scheduling is determined
And constraint, and the mathematical expression of objective function, constraint condition is provided, build the hydroelectric system multiple target towards adaptability regulation
Integrated distribution model.In order to liquidate, river flow variation influences hydroelectric system, from the optimization of multi-reservoir scheduling mode, rain-flood resources
Using, with water behavior adjust three aspect building adaptability regulating strategy systems, formulate adaptability regulation and control schemes.Setting building
The design conditions of hydroelectric system multiple target integrated distribution model, including reservoir water, when segment length selection, restriction of water level, minimum stream
Amount constraint, range of stage constraint etc., simulate different regulation and control schemes with this.Using PSO Algorithm model, after solving model
Operational process of each reservoir under adaptability regulation in hydroelectric system can be obtained, adaptability regulation is analyzed according to operational process
Mechanism evaluates regulating effect according to hydroelectric system power generation total amount.
Next, describing a kind of implementation by taking the hydroelectric system that a certain Hydropower Stations (Cascade Reservoirs) are constituted as an example
Scheme.
As shown in Figure 1, step 1, according to hydraulic connection, power communication generally changing hydroelectric system: according to reservoir in hydroelectric system
Between hydraulic connection, power communication, hydroelectric system is generally melted into a mathematical format by three kinds of node, line, plane element groups
At generalization system, realize mapping from existing actual conditions to mathematical expression, regulate and control for hydroelectric system adaptability and model with evaluating
Topological relation physically is provided；It mainly include hydroelectric project node, control section node in hydroelectric system interior joint element；Even
Hydraulic connection of the line feature between node mainly includes river, channel；Flat elemental is basin subregion.
Fig. 2 models the topological relation figure provided physically, R in figure with evaluation to regulate and control for hydroelectric system adaptability1、R2、
R3、R4Respectively represent four reservoirs in hydroelectric system, Q1、Q2、Q3、Q4The upstream for respectively representing four library of step in hydroelectric system is come
Water, and QArea 1、QArea 2、QArea 3、QArea 4Then respectively represent the local inflow of four libraries between any two.
Step 2: the hydroelectric system multiple target integrated distribution model that building regulates and controls towards adaptability.Flood control at present is irrigated, hair
The single goals water resources development and utilization mode such as electricity has not existed, hydroelectric system generally comprise flood control, water supply, power generation, shipping,
The multi-tasks such as ecology, silt and environment.According to the scheduler task of hydroelectric system, the target and constraint of scheduling are determined, and provide
The mathematical expression of objective function, constraint condition builds the hydroelectric system multiple target integrated distribution model towards adaptability regulation.
The step 2 further includes steps of
Step 21 is restored to use as the main target of hydroelectric system reply streamflow change adaptability regulation using generated energy
Relaxation Theory is constrained, regard power generation target as elementary object, by others flood control, water supply, shipping targeted transformation at constraint condition,
The Optimal Scheduling of multiple target is converted to single-objective problem and optimizes calculating, determines that hydroelectric system power generation total amount is up to
Objective function, expression formula are as follows:
In formula: E is the power generation total amount of hydroelectric system；I is power station/reservoir serial number；T is calculation interval；N is water power
It stands/the number of reservoir；Number of segment or the scheduling end of term timing when T is schedule periods；Ni,tPower generation for i-th of reservoir in the t period goes out
Power；Δ t is the hourage of calculation interval t；
Step 22, the water balance for determining each library, the water level in each library, the flow in each library, minimum load, the hydraulic turbine are found out in advance
The constraint conditions such as the first last water level control of power, schedule periods, range of stage, flow luffing:
(1) water balance constrains
Vi,t=Vi,t-1+(Qi,t-qfi,t-Ji,t-Si,t)·Δt
In formula: Vi,tFor i-th of reservoir, the pondage of t period Mo；Vi,t-1For storage capacity at the beginning of the period；Qi,tFor storage
Flow；qfi,tFor generating flow；Ji,tTo abandon water flow；Si,tTo lose flow；
(2) upper limit, lower limit restriction of water level
In formula: Zi,tFor the calculating water level of i-th of reservoir t moment；Zi,t For the lower limit water level of permission；For permission
Upper limit water level；
(3) maximum, minimum discharge constraint
qi,min≤qfi,t≤qfi,max
In formula: qfi,tFor the generating flow of i-th of reservoir t period；qi,minMeet each task most for i-th of reservoir
Small letdown flow；qfi,maxFor the maximum discharge capacity of water turbine set；
(4) minimum load constrains
N i,t≤Ni,t
In formula: Ni,tFor the calculating power output of i-th of reservoir t period；N i,tFor minimum load requirement；
(5) hydraulic turbine envisions units limits
Ni,t≤min{NHi,t,NYi}
In formula: NHi,tFor the anticipation power output of i-th of reservoir t period, it is special that the comprehensive operating of the hydraulic turbine is looked into according to productive head
Known to linearity curve；NYiFor the installed capacity of i-th of reservoir, when productive head is more than or equal to Design of Hydraulic Turbine head,
Power output NY can be issuedi；
(6) schedule periods just, end of term water level control
In formula: ZisFor the calculating water level in i-th of reservoir operation beginning；For the control water level at the beginning of schedule periods；ZieFor scheduling
The calculating water level in the end of term；For the control water level for dispatching the end of term；
(7) range of stage constrains
|Zi,t+1-Zi,t|≤ΔZi
In formula: Zi,t+1For the calculating water level at i-th of reservoir t+1 moment；ΔZiThe maximum stage allowed for i-th of reservoir
Luffing；
(8) flow luffing constrains
|qi,t+1-qi,t|≤Δqi
In formula: qi,tFor the letdown flow of i-th of reservoir t period, including qfi,tAnd Ji,t；qi,t+1For i-th of reservoir t
The storage outflow at+1 moment；ΔqiThe maximum letdown flow luffing allowed for i-th of reservoir；
Step 23, firstly, the simulation of hydroelectric system operation is based on water balance equation, therefore when dam safety evaluation calculates
Have been realized in water balance constraint；Secondly, the just last water level control constraint of the upper limit in each library, lower limit restriction of water level, schedule periods, when
When selecting water level as decision variable, this kind of constraint condition can limit search space in setup algorithm condition and be able to reality
Show, referred to as rigid constraint；And it is left the traffic constraints in each library, minimum load constraint, the hydraulic turbine anticipation units limits, range of stage
Constraint, the constraint of flow luffing etc. then generally require just judge whether to be met after regulating calculation, present invention introduces
The concept of penalty function realizes that this kind of constraint condition, principle are to generate one to target function value when this kind of constraint condition is destroyed
A punishment amount makes the strategy not become optimal policy, and then guarantees that optimal policy can be as far as possible to reduce fitness value
Meet third class constraint condition.
Restriction condition treat is done according to the constraint condition that step 22 is listed, the concept for introducing penalty function realizes this kind of constraint item
Part is shown below using the improved objective function of penalty function:
In formula: Y is the constraint condition quantity handled using penalty function；For penalty coefficient, when current constraints meetWhen current constraints are unsatisfactory forβyTo punish index；Si,t,yIt is constrained for i-th y-th of the reservoir t period
The value of variable；The critical value not being destroyed for i-th of reservoir t period, y-th of constraint condition.
Step 3, building adaptability regulating strategy system and regulation and control scheme；In order to which the river flow variation that liquidates is to hydroelectric system
It influences, constructs adaptability regulating strategy in terms of the optimization of multi-reservoir scheduling mode, rain-flood resources utilize, adjust three with water behavior
System formulates adaptability regulation and control scheme.
The scheme of the step 3 specifically includes following:
The regulating strategy that scheme 31, multi-reservoir scheduling mode optimize, by combining to the multi-reservoir in hydroelectric system
Scheduling becomes unordered storage and discharges water to cooperate with to store and discharge water, and comprehensive regulation hydroelectric system water and head restore hydroelectric system generated energy；
The regulating strategy that scheme 32, rain-flood resources utilize is controlled under the premise of not increasing hydroelectric system risk by dynamic
Limited Water Level of Reservoir in Flood Season processed improves rain-flood resources and utilizes, and increases the effective runoff supply of hydroelectric system, regulates and controls hydroelectric system water, extensive
Rehydration electric system generated energy；
Scheme 33, the regulating strategy adjusted with water behavior by adjusting social-economic structures, promote a water-saving society to build
It is extensive if increasing effective runoff supply of hydropower system indirectly to reduce offstream water use, regulating and controlling hydroelectric system water
Rehydration electric system generated energy；
Regulation and control scheme is formulated according to above-mentioned Different Strategies, Different Strategies is combined and formulates comprehensive regulation scheme.
Step 4 simulates different regulation-control models using hydroelectric system multiple target integrated distribution model；It is formulated in foundation step 3
Regulation and control scheme, set the design conditions of the hydroelectric system multiple target integrated distribution model of building, different regulation sides simulated with this
Case.The design conditions for needing to set at this time mainly include reservoir water, when segment length selection, restriction of water level, minimum discharge constraint, water
Level amplitude constraint.
Step 5, solving model, analysis regulatory mechanism, evaluation regulating effect.
The hydroelectric system multiple target integrated distribution model for building and setting design conditions is solved using intelligent algorithm,
The present invention uses PSO Algorithm model.Each reservoir in hydroelectric system can be obtained after solving model to regulate and control in adaptability
Under operational process, according to operational process analyze adaptability regulatory mechanism, according to hydroelectric system power generation total amount evaluate regulating effect.
The step 5 further includes steps of
Step 51, initiation parameter, comprising: population scale, particle initial position, particle initial velocity, operation terminate item
Part；
Step 52 generates initial population；
Step 53, the fitness that particle is calculated according to the improved objective function of use penalty function, obtain individual optimal solution
And globally optimal solution；
The position of step 54, more new particle and flying speed, calculation formula are as follows:
In formula: i=1,2 ..., m；J=1,2 ..., n；ω is inertia weight；c1、c2For the acceleration of particle flight acceleration
Degree, is constant, general value 2；r1j、r2jFor random number, obey U (0,1)；Item reflection particle present speed,Reflect that particle current location is the embodiment of individual cognition at a distance from itself current optimal solution,Reflect that particle current location is the embodiment of information exchange at a distance from the current optimal solution of population；
Operational process of each reservoir under adaptability regulation in hydroelectric system can be obtained after step 55, solving model,
Adaptability regulatory mechanism is analyzed according to operational process, evaluates regulating effect according to hydroelectric system power generation total amount.
In short, in view of the deficiencies of the prior art, the invention proposes a kind of hydroelectric systems to cope with streamflow change adaptability tune
Control and evaluation method, by the way that actual conditions digitlization is compensated for the uncertainty in hydroelectric system, efficient, safety.
Secondly, determining objective function, constraint condition according to the scheduler task of hydroelectric system, build towards adaptability tune
Target refinement is improved the accuracy of regulation and assessment by the hydroelectric system multiple target integrated distribution model of control.For the river that liquidates
River streamflow change is utilized based on the optimization of multi-reservoir scheduling mode, rain-flood resources, is regarded with water behavior adjustment etc. on hydroelectric system influence
Angle, building adaptability regulating strategy system formulate adaptability regulation and control scheme；Finally, analysis is adjusted using intelligent algorithm solving model
Control mechanism, evaluation regulating effect.To find feasible or potential regulation measure, liquidate influence of the streamflow change to hydroelectric system,
The safe and economical operation for ensureing complicated hydropower system, provides the technical method of complete set.
Preferred embodiment of the invention is described in detail above, still, the tool during present invention is not limited to the embodiments described above
Body details can carry out a variety of equivalents, these etc. to technical solution of the present invention within the scope of the technical concept of the present invention
It is all belonged to the scope of protection of the present invention with transformation.
Claims (10)
1. a kind of hydroelectric system reply streamflow change adaptability regulation and evaluation method, which is characterized in that specifically include following step
It is rapid:
Step 1 generally changes hydroelectric system according to hydraulic connection, power communication；
The hydroelectric system multiple target integrated distribution model that step 2, building regulate and control towards adaptability；
Step 3, building adaptability regulating strategy system and regulation and control scheme；
Step 4 simulates different regulation-control models using hydroelectric system multiple target integrated distribution model；
Step 5, solving model, analysis regulatory mechanism, evaluation regulating effect.
2. a kind of hydroelectric system reply streamflow change adaptability regulation according to claim 1 and evaluation method, feature
It is, the step 1 is further are as follows:
According to hydraulic connection, the power communication between reservoir in hydroelectric system, hydroelectric system is generally melted by saving in a mathematical format
The generalization system of point, line, three kinds of elements of plane composition, realizes the mapping from existing actual conditions to mathematical expression, is water power system
Adaptability of uniting regulation provides topological relation physically with evaluation modeling.
3. a kind of hydroelectric system reply streamflow change adaptability regulation according to claim 2 and evaluation method, feature
It is, the hydroelectric system interior joint element includes hydroelectric project node, control section node；Line element is between node
Hydraulic connection, including river, channel；Flat elemental is basin subregion.
4. a kind of hydroelectric system reply streamflow change adaptability regulation according to claim 1 and evaluation method, feature
It is, the step 2 further includes steps of
Step 21 restores the main target as hydroelectric system reply streamflow change adaptability regulation using generated energy, using constraint
Relaxation Theory, will be more by others flood control, water supply, shipping targeted transformation at constraint condition using power generation target as elementary object
The Optimal Scheduling of target is converted to single-objective problem and optimizes calculating, determines that hydroelectric system power generation total amount is up to target
Function, expression formula are as follows:
In formula: E is the power generation total amount of hydroelectric system；I is power station/reservoir serial number；T is calculation interval；N is power station/water
The number in library；Number of segment or the scheduling end of term timing when T is schedule periods；Ni,tFor i-th of reservoir the t period generated output；Δt
For the hourage of calculation interval t；
Step 22, the water balance for determining each library, the water level in each library, the flow in each library, minimum load, the hydraulic turbine anticipation power output,
The constraint conditions such as the first last water level control of schedule periods, range of stage, flow luffing:
(1) water balance constrains
Vi,t=Vi,t-1+(Qi,t-qfi,t-Ji,t-Si,t)·Δt
In formula: Vi,tFor i-th of reservoir, the pondage of t period Mo；Vi,t-1For storage capacity at the beginning of the period；Qi,tFor reservoir inflow；
qfi,tFor generating flow；Ji,tTo abandon water flow；Si,tTo lose flow；
(2) upper limit, lower limit restriction of water level
In formula: Zi,tFor the calculating water level of i-th of reservoir t moment；Zi,t For the lower limit water level of permission；For the upper limit of permission
Water level；
(3) maximum, minimum discharge constraint
qi,min≤qfi,t≤qfi,max
In formula: qfi,tFor the generating flow of i-th of reservoir t period；qi,minUnder the minimum for meeting each task for i-th of reservoir
Vent flow；qfi,maxFor the maximum discharge capacity of water turbine set；
(4) minimum load constrains
N i,t≤Ni,t
In formula: Ni,tFor the calculating power output of i-th of reservoir t period；N i,tFor minimum load requirement；
(5) hydraulic turbine envisions units limits
Ni,t≤min{NHi,t,NYi}
In formula: NHi,tFor the anticipation power output of i-th of reservoir t period, it is bent that the comprehensive service performance of the hydraulic turbine is looked into according to productive head
Known to line；NYiFor the installed capacity of i-th of reservoir, when productive head is more than or equal to Design of Hydraulic Turbine head, Cai Nengfa
Contribute NYi；
(6) schedule periods just, end of term water level control
In formula: ZisFor the calculating water level in i-th of reservoir operation beginning；For the control water level at the beginning of schedule periods；ZieTo dispatch the end of term
Calculating water level；For the control water level for dispatching the end of term；
(7) range of stage constrains
|Zi,t+1-Zi,t|≤ΔZi
In formula: Zi,t+1For the calculating water level at i-th of reservoir t+1 moment；ΔZiThe maximum stage allowed for i-th of reservoir becomes
Width；
(8) flow luffing constrains
|qi,t+1-qi,t|≤Δqi
In formula: qi,tFor the letdown flow of i-th of reservoir t period, including qfi,tAnd Ji,t；qi,t+1When for i-th of reservoir t+1
The storage outflow at quarter；ΔqiThe maximum letdown flow luffing allowed for i-th of reservoir；
Step 23 does Restriction condition treat according to the constraint condition that step 22 is listed, and the concept realization for introducing penalty function is this kind of about
Beam condition is shown below using the improved objective function of penalty function:
In formula: Y is the constraint condition quantity handled using penalty function；For penalty coefficient, when current constraints meetWhen current constraints are unsatisfactory forβyTo punish index；Si,t,yIt is constrained for i-th y-th of the reservoir t period
The value of variable；The critical value not being destroyed for i-th of reservoir t period, y-th of constraint condition.
5. a kind of hydroelectric system reply streamflow change adaptability regulation according to claim 1 and evaluation method, feature
It is, the scheme of the step 3 specifically includes following:
The regulating strategy that scheme 31, multi-reservoir scheduling mode optimize, by carrying out combined dispatching to the multi-reservoir in hydroelectric system,
Become unordered storage to discharge water to cooperate with to store and discharge water, comprehensive regulation hydroelectric system water and head restore hydroelectric system generated energy；
The regulating strategy that scheme 32, rain-flood resources utilize controls water by dynamic under the premise of not increasing hydroelectric system risk
Library flood season limit level improves rain-flood resources and utilizes, and increases the effective runoff supply of hydroelectric system, regulates and controls hydroelectric system water, restore water
Electric system generated energy；
Scheme 33, the regulating strategy adjusted with water behavior by adjusting social-economic structures, promote water-saving society establishment, from
And offstream water use is reduced, increase effective runoff supply of hydropower system indirectly, regulate and control hydroelectric system water, restores water power
System generated energy；
Regulation and control scheme is formulated according to above-mentioned Different Strategies, Different Strategies is combined and formulates comprehensive regulation scheme.
6. a kind of hydroelectric system reply streamflow change adaptability regulation according to claim 1 and evaluation method, feature
It is, the step 4 is further are as follows:
According to the regulation and control scheme formulated in step 3, the design conditions of the hydroelectric system multiple target integrated distribution model of building are set,
Different regulation and control schemes are simulated with this.
7. a kind of hydroelectric system reply streamflow change adaptability regulation according to claim 1 and evaluation method, feature
It is, the step 5 further includes steps of
Step 51, initiation parameter, comprising: population scale, particle initial position, particle initial velocity, operation termination condition；
Step 52 generates initial population；
Step 53, according to the fitness for calculating particle using the improved objective function of penalty function, obtain individual optimal solution and complete
Office's optimal solution；
The position of step 54, more new particle and flying speed, calculation formula are as follows:
In formula: i=1,2 ..., m；J=1,2 ..., n；ω is inertia weight；c1、c2For particle flight acceleration acceleration, it is
Constant, general value 2；r1j、r2jFor random number, obey U (0,1)；Item reflection particle present speed,Instead
Particle current location is reflected at a distance from itself current optimal solution, is the embodiment of individual cognition,Reflection particle is worked as
Front position is the embodiment of information exchange at a distance from the current optimal solution of population；
Operational process of each reservoir under adaptability regulation in hydroelectric system can be obtained after step 55, solving model, according to
Operational process analyzes adaptability regulatory mechanism, evaluates regulating effect according to hydroelectric system power generation total amount.
8. a kind of hydroelectric system reply streamflow change adaptability regulation and evaluation system, which is characterized in that including following module:
For being contacted according to water conservancy, power communication generally change the first module of hydroelectric system；
For constructing the second module of the hydroelectric system multiple target integrated distribution model towards adaptability regulation；
For constructing the third module of adaptability regulating strategy system and regulation and control scheme；
For simulating the 4th module of different regulation-control models using hydroelectric system multiple target integrated distribution model；
For solving model, the 5th module analyzed regulatory mechanism, evaluate regulating effect.
9. hydroelectric system reply streamflow change adaptability regulation as claimed in claim 8 and evaluation system, which is characterized in that
First module is further used for according to hydraulic connection, the power communication between reservoir in hydroelectric system, with the shape of mathematics
Hydroelectric system is generally melted into the generalization system being made of three kinds of node, line, plane elements by formula, is realized from existing actual conditions to number
The mapping of expression is learned, regulates and controls the topological relation provided physically with evaluation modeling for hydroelectric system adaptability and generally changes hydroelectric system；
Second module is further used for establishing hydroelectric system power generation total amount according to multiple target and being up to objective function, express
Formula are as follows:
In formula: E is the power generation total amount of hydroelectric system；I is power station/reservoir serial number；T is calculation interval；N is power station/water
The number in library；Number of segment or the scheduling end of term timing when T is schedule periods；Ni,tFor i-th of reservoir the t period generated output；Δt
For the hourage of calculation interval t；
Then water balance, the water level in each library, the flow in each library, minimum load, the hydraulic turbine anticipation power output, scheduling in each library are determined
The constraint conditions such as initial end water level control, range of stage, flow luffing；
Restriction condition treat is done according to the constraint condition that step 22 is listed, the concept for introducing penalty function realizes this kind of constraint condition,
It is shown below using the improved objective function of penalty function:
In formula: Y is the constraint condition quantity handled using penalty function；For penalty coefficient, when current constraints meetWhen current constraints are unsatisfactory forβyTo punish index；Si,t,yIt is constrained for i-th y-th of the reservoir t period
The value of variable；The critical value not being destroyed for i-th of reservoir t period, y-th of constraint condition；
Three module is further used for establishing the regulating strategy of multi-reservoir scheduling mode optimization, the regulation plan that rain-flood resources utilize
Slightly, the regulating strategy adjusted with water behavior combines Different Strategies and formulates comprehensive regulation scheme.
10. hydroelectric system reply streamflow change adaptability regulation as claimed in claim 8 and evaluation system, which is characterized in that
4th module is further used for setting the hydroelectric system multiple target connection of building according to the regulating strategy formulated in Different Strategies
The design conditions for closing scheduling model, simulate different regulation and control schemes with this；
5th module is further used for using PSO Algorithm model, can obtain after solving model each in hydroelectric system
Operational process of the reservoir under adaptability regulation, analyzes adaptability regulatory mechanism according to operational process, generates electricity according to hydroelectric system
Total amount evaluates regulating effect, and the calculation formula of PSO Algorithm model is as follows:
In formula: i=1,2 ..., m；J=1,2 ..., n；ω is inertia weight；c1、c2For particle flight acceleration acceleration, it is
Constant, general value 2；r1j、r2jFor random number, obey U (0,1)；Item reflection particle present speed,Instead
Particle current location is reflected at a distance from itself current optimal solution, is the embodiment of individual cognition,Reflection particle is worked as
Front position is the embodiment of information exchange at a distance from the current optimal solution of population.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910624424.8A CN110348121A (en) | 2019-07-11 | 2019-07-11 | A kind of reply streamflow change adaptability regulation of hydroelectric system and evaluation method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910624424.8A CN110348121A (en) | 2019-07-11 | 2019-07-11 | A kind of reply streamflow change adaptability regulation of hydroelectric system and evaluation method and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110348121A true CN110348121A (en) | 2019-10-18 |
Family
ID=68175701
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910624424.8A Pending CN110348121A (en) | 2019-07-11 | 2019-07-11 | A kind of reply streamflow change adaptability regulation of hydroelectric system and evaluation method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110348121A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114429053A (en) * | 2022-04-06 | 2022-05-03 | 水利部交通运输部国家能源局南京水利科学研究院 | Basin scale WEFE system adaptability simulation optimization method |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105160443A (en) * | 2015-10-26 | 2015-12-16 | 河海大学 | Optimal complex reservoir group dispatching method based on extended linear quadratic Gaussian method |
| CN106570786A (en) * | 2016-11-08 | 2017-04-19 | 武汉大学 | Scheduling rule time-varying characteristic-based reservoir adaptability scheduling method |
-
2019
- 2019-07-11 CN CN201910624424.8A patent/CN110348121A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105160443A (en) * | 2015-10-26 | 2015-12-16 | 河海大学 | Optimal complex reservoir group dispatching method based on extended linear quadratic Gaussian method |
| CN106570786A (en) * | 2016-11-08 | 2017-04-19 | 武汉大学 | Scheduling rule time-varying characteristic-based reservoir adaptability scheduling method |
Non-Patent Citations (1)
| Title |
|---|
| 郭乐 等: "三峡梯级水库群联合优化调度增发电量分析", 《水力发电》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114429053A (en) * | 2022-04-06 | 2022-05-03 | 水利部交通运输部国家能源局南京水利科学研究院 | Basin scale WEFE system adaptability simulation optimization method |
| CN114429053B (en) * | 2022-04-06 | 2022-06-17 | 水利部交通运输部国家能源局南京水利科学研究院 | Basin scale WEFE system adaptability simulation optimization method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Feng et al. | Hybrid artificial neural network and cooperation search algorithm for nonlinear river flow time series forecasting in humid and semi-humid regions | |
| CN107506909B (en) | Cascade reservoir hydropower station group scheduling control system and method for fish habitat protection | |
| Negnevitsky et al. | Innovative short-term wind generation prediction techniques | |
| Sierra-García et al. | Improving wind turbine pitch control by effective wind neuro-estimators | |
| Martinez et al. | Comparison between closed-loop and partial open-loop feedback control policies in long term hydrothermal scheduling | |
| CN105509749A (en) | Mobile robot path planning method and system based on genetic ant colony algorithm | |
| CN105512745A (en) | Wind power section prediction method based on particle swarm-BP neural network | |
| CN111967666B (en) | Comprehensive cooperative scheduling system and scheduling method for river and lake water system | |
| CN103683337B (en) | A kind of interconnected network CPS instruction dynamic assignment optimization method | |
| CN108092324A (en) | A kind of wind-powered electricity generation participates in the AGC control systems and control method of peak-frequency regulation | |
| CN106682810A (en) | Method for operating cross-basin cascade hydropower station groups under condition of dynamic commissioning of giant hydropower stations for long term | |
| CN112700080A (en) | Multistage optimal scheduling method for cascade hydropower | |
| CN104598765A (en) | Building energy consumption prediction method based on elastic adaptive neural network | |
| CN108547735A (en) | The integrated optimization control method of wind power plant active output and unit fatigue | |
| CN106251242A (en) | A kind of wind power output interval combinations Forecasting Methodology | |
| Huang et al. | Genetic Algorithms for Optimization of Resource Allocation in Large Scale Construction Project Management. | |
| CN108649556A (en) | A kind of electric network emergency scene random optimization dispatching method | |
| CN104538993A (en) | Cascaded automatic generation control method for hydropower station group | |
| CN104636831B (en) | A kind of power station short-term peak regulation eigenvalue search method towards many electrical networks | |
| Dou et al. | Long-term weather prediction based on GA-BP neural network | |
| Yin et al. | Optimizing cleaner productions of sustainable energies: a co-design framework for complementary operations of offshore wind and pumped hydro-storages | |
| CN105160443A (en) | Optimal complex reservoir group dispatching method based on extended linear quadratic Gaussian method | |
| CN110348121A (en) | A kind of reply streamflow change adaptability regulation of hydroelectric system and evaluation method and system | |
| CN112132379B (en) | Economic-considered new energy cross-region consumption evaluation method and storage medium | |
| Sun et al. | Short term load forecasting based on BP neural network trained by PSO |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20191018 |