CN111353654A - Direct-current transmitting-end hydropower station optimal scheduling method compatible with peak regulation requirements of receiving-end power grid - Google Patents

Direct-current transmitting-end hydropower station optimal scheduling method compatible with peak regulation requirements of receiving-end power grid Download PDF

Info

Publication number
CN111353654A
CN111353654A CN202010177499.9A CN202010177499A CN111353654A CN 111353654 A CN111353654 A CN 111353654A CN 202010177499 A CN202010177499 A CN 202010177499A CN 111353654 A CN111353654 A CN 111353654A
Authority
CN
China
Prior art keywords
power
unit
formula
period
power grid
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
Application number
CN202010177499.9A
Other languages
Chinese (zh)
Inventor
原文林
卢璐
苏承国
吴洋
周彬彬
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhengzhou University
Original Assignee
Zhengzhou University
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Zhengzhou University filed Critical Zhengzhou University
Priority to CN202010177499.9A priority Critical patent/CN111353654A/en
Publication of CN111353654A publication Critical patent/CN111353654A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/067Enterprise or organisation modelling
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06Energy or water supply

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Human Resources & Organizations (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Marketing (AREA)
  • General Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • Tourism & Hospitality (AREA)
  • Quality & Reliability (AREA)
  • Game Theory and Decision Science (AREA)
  • Operations Research (AREA)
  • Development Economics (AREA)
  • Health & Medical Sciences (AREA)
  • Educational Administration (AREA)
  • Public Health (AREA)
  • Water Supply & Treatment (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Control Of Eletrric Generators (AREA)

Abstract

The invention discloses a direct current sending end hydropower station optimization scheduling method compatible with receiving end power grid peak regulation requirements, which is characterized in that modeling construction is carried out on hydropower short-term optimization scheduling problems to obtain a mathematical model, after calculation conditions are set, firstly, an objective function is linearized, nonlinear objective constraint is carried out on the nonlinear objective function in a linearization manner under the premise of precision allowance, then, an original high non-convex mixed integer nonlinear programming model is converted into a mixed integer linear programming model, and an optimization solver is used for solving the model on the basis. The model provided by the invention has higher calculation efficiency, the formulated power transmission plan effectively responds to the peak load regulation requirement of each receiving-end power grid, the peak-valley difference of the power grid is obviously reduced, the power transmission limit of the direct-current connecting line is met, the performability of the direct-current connecting line plan is improved, and the cross-regional coordinated operation of the transmitting-end hydropower station, the high-voltage direct-current connecting line and the receiving-end power grid is realized.

Description

Direct-current transmitting-end hydropower station optimal scheduling method compatible with peak regulation requirements of receiving-end power grid
Technical Field
The invention relates to the technical field of energy and electric power, in particular to an optimal scheduling method for a direct current sending end hydropower station.
Background
The feeding of high-power high-voltage direct current hydropower greatly relieves the energy shortage situation and the atmospheric pollution pressure in the east region, but the peak regulation requirement of a receiving-end power grid is rarely considered by a power transmission curve, so that the receiving-end power grid has to passively absorb a large amount of low-valley power under many conditions, the peak regulation pressure of the receiving-end power grid is further increased, the stable operation of the receiving-end power grid is not facilitated, and the absorption capacity of the receiving-end power grid on clean energy is also influenced. Therefore, it is necessary to change the scheduling operation and power transmission mode of the current high-voltage direct-current transmission terminal hydropower station. At present, research aiming at cross-regional power transmission of a hydropower station mainly focuses on optimizing scheduling operation and power cross-regional and cross-provincial distribution modes of a hydropower station at a transmitting end, and various limiting conditions of a high-voltage direct-current connecting line for cross-regional power transmission are not considered, such as limitations of power curve stepping of the direct-current connecting line, daily power transmission quantity and the like, so that optimization calculation results still face a plurality of technical problems in practical engineering application. Therefore, the invention fully considers the operation limitation of the transmitting end hydropower station, the transmission control requirement of the direct current connecting line and the load requirement of the receiving end power grid, researches and formulates a scientific and reasonable power generation plan and a power transmission mode of the high-voltage direct current transmitting end hydropower station, practically exerts the peak regulation capacity of the large hydropower station and relieves the clean energy consumption pressure of each receiving end power grid.
The optimization scheduling problem of the direct current transmitting end hydropower station essentially belongs to the short-term optimization scheduling problem of the hydropower station in the day ahead. At present, a plurality of solving methods for the problems comprise a Lagrange relaxation method, a dynamic programming and derivation algorithm thereof, an intelligent algorithm, a nonlinear programming method and the like, but the methods all face a plurality of difficulties when being applied to solving the scheduling problem of the high-voltage direct-current transmission end hydropower station. Due to the non-convex and non-linear of the model, the Lagrange relaxation method is difficult to obtain an accurate dual equation; because the operation constraint of each unit in the power station needs to be taken into consideration, the problem of 'dimension disaster' is often faced when the problem is solved by dynamic planning; intelligent algorithms such as genetic algorithm, differential evolution algorithm, particle swarm algorithm and bee colony algorithm have the problems of easy falling into local optimal solution, difficult effective processing of complex constraint, unstable calculation result and the like; the nonlinear programming method cannot consider the start-stop state of the unit, and therefore cannot be applied to the problem. The mixed integer linear programming is an optimization method for solving complex problems with deep research and relatively mature theory at present, and a satisfactory solution can be obtained within acceptable solution time by means of efficient commercial optimization software, so that the mixed integer linear programming is widely applied to the field of hydropower dispatching in recent years. The key point of using the method is how to carry out linearization treatment on the premise that the precision of a nonlinear target or constraint in the model is allowed, and then the original high non-convex mixed integer nonlinear programming model is converted into the mixed integer linear programming model.
Disclosure of Invention
The invention aims to provide a direct current transmitting end hydropower station optimal scheduling method compatible with peak shaving requirements of a receiving end power grid.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows.
A direct current sending end hydropower station optimization scheduling method compatible with receiving end power grid peak regulation requirements is characterized in that modeling construction is carried out on hydropower short-term optimization scheduling problems to obtain a mathematical model, after calculation conditions are set, firstly, an objective function is linearized, nonlinear objective constraint is carried out on the nonlinear objective function, linearization processing is carried out on the premise that precision is allowed, then an original high non-convex mixed integer nonlinear programming model is converted into a mixed integer linear programming model, and an optimization solver is used for solving the model on the basis.
As a preferred technical solution of the present invention, a method for converting an initial model into a mixed integer linear programming model comprises: firstly, establishing a short-term optimization scheduling model of the high-voltage direct-current transmitting-end hydropower station, and taking the minimum residual load peak-valley difference of the receiving-end power grid as a target function of the model so as to fully excavate the trans-regional peak regulation capability of the high-power hydropower station, reduce the peak regulation pressure of the receiving-end power grid and improve the clean energy consumption level of the receiving-end power grid; in addition to hydraulic constraint, unit operation constraint, waterhead influence and high-voltage direct-current connecting line power transmission limitation are increased; carrying out linearization processing on nonlinear factors such as nonlinear peak regulation objective functions in the model, unit generating heads, unit operation combined vibration regions, unit power characteristic curves, stepped power transmission curve limitation of a high-voltage direct-current connecting line and the like; aiming at nonlinear constraint of a power characteristic curve of the water turbine, a triangular internal linear interpolation method is constructed, and the power characteristic curve of the water turbine is linearized; and realizing the conversion from the original model to the standard mixed integer linear programming model.
As a preferred technical solution of the present invention, the linearization processing of the objective function includes the following steps:
firstly, constructing an objective function, and expressing the minimum difference between net load peaks and valleys of each receiving-end power grid as follows:
Figure BDA0002411298540000021
C′g,t=Cg,t-Pg,t(2)
in the formula: g is the total number of the transmission power grids of the hydropower station at the transmission end; g is the receiving end power grid number; t, t are scheduling period and scheduling period h, respectively; cg,t、C′g,tRespectively representing the original load and the residual load MW of the receiving-end power grid g in a period t; pg,tThe output MW of the hydropower station to the power grid g in the t period is represented, namely the power of the direct current tie line g in the t period can be obtained by the formula (3);
Figure BDA0002411298540000022
wherein I is the unit number in the hydropower station, IgSet of units for transmitting power to receiving grid g, Pi,tThe output MW of the unit i in the time period t is obtained;
further, auxiliary variables are introduced
Figure BDA0002411298540000023
And gC′it is made to satisfy equation (4), thereby linearizing the objective function to solve:
Figure BDA0002411298540000024
at this time, equation (1) becomes:
Figure BDA0002411298540000025
the formula (5) comprises the peak regulation problem of a plurality of power grids, belongs to the multi-target problem, adopts a weight method to convert the peak regulation problem into a single-target scheduling problem, and takes the difference of the load magnitude of each power grid into consideration to carry out normalization processing on the residual load of the power grids; the objective function is transformed into the following function:
Figure BDA0002411298540000031
in the formula:
Figure BDA0002411298540000032
the maximum original load MW of the g-th power grid; w is agFor the weighting factors, equal weighting, i.e. w, is used in the invention g1/G; in the formula (6)
Figure BDA0002411298540000033
The term represents the load peak-valley difference after the normalization of the ith power grid, namely the peak-valley difference rate, and is used for measuring the peak load pressure of the power grid.
As a preferred embodiment of the present invention, the constraint linearization process includes the following steps:
(1) and (3) water balance constraint:
Figure BDA0002411298540000034
in the formula: vtIs the storage capacity m of the reservoir at the end of the t period3;ItIs the warehousing flow m of the reservoir in the time period t3/s;StRepresenting water reject flow m of the plant during a period t3S; Δ t is a time period step h; qtFor power generation of power station during time tFlow rate m3S; i and I are the total number of units and the number of the units contained in the hydropower station respectively; q. q.si,tGenerating flow m of unit i in t period3/s;
(2) Water level restraint:
Zmin≤Zt≤Zmax(8)
Figure BDA0002411298540000035
in the formula: ztRepresenting the dam front water level m of the reservoir at the end of the t period; zmax、ZminRespectively the highest value m and the lowest value m of the front water level of the reservoir dam; zbeginThe actual water level m of the reservoir at the beginning of the dispatching period; zendControlling the water level m for the target at the end of the dispatching period; considering that a certain deviation exists in the allowable control water level in the actual scheduling operation process, setting delta as the allowable deviation proportion of the control water level at the end of the period;
(3) unit output restraint:
0≤Pi,t≤ui,tPi,max,ui,t∈{0,1} (10)
in the formula: pi,maxThe maximum generating power MW of the unit i; u. ofi,tIs the running state variable of the unit i in the time period t, if the unit i is in the power generation state in the time period t, u i,t1, otherwise ui,t=0;
(4) And (3) restraining the generating flow of the unit:
0≤qi,t≤ui,tqi,max(11)
in the formula: q. q.si,maxMaximum generation flow m for unit i3/s;
(5) And (3) restraining the starting and stopping duration of the unit:
Figure BDA0002411298540000041
Figure BDA0002411298540000042
in the formula: x is the number ofi,t、x'i,tRespectively, the start and stop operation variables of the unit j, if the unit i, x is started in the time period t i,t1, otherwise xi,t0, provided that unit i, x 'is shut down for period t'i,t1, otherwise x'i,t=0;αi、βiRespectively setting the shortest duration h of the start and stop of the unit;
(6) and (3) restraining a vibration area of the unit:
the large hydroelectric generating set often has a plurality of vibration regions, and the output range is divided into a plurality of discontinuous intervals, so that the vibration region constraint of the generating set is expressed as:
Figure BDA0002411298540000043
in the formula:
Figure BDA0002411298540000044
PV i,krespectively setting the upper limit MW and the lower limit MW of the output of the kth vibration area of the unit i;
dividing a unit output interval into K +1 safe operation areas by utilizing K unit vibration areas, wherein the constraint of the formula (14) is nonlinear constraint, and the nonlinear constraint linearization processing method is shown as the formula (15);
Figure BDA0002411298540000045
in the formula:
Figure BDA0002411298540000046
indicating that the output force of the unit i in the t period is in the kth safe operation area;
Figure BDA0002411298540000047
P i,krespectively represents the upper limit and the lower limit of the output of the kth safe operation area of the unit i, and meets the requirementsP i,1=0,
Figure BDA0002411298540000048
Formula (10) may be replaced with formula (15);
(7) power generation water purification head restraint:
Figure BDA0002411298540000051
in the formula: hi,tGenerating water purification heads m for the unit i in a time period t; zdtThe tail water level m of the reservoir in the period t; hl (high pressure chemical vapor deposition)i,tFor the generating head loss m of the unit i in the time period t, and for simplifying the calculation, the hl is assumed in the inventioni,tIs a constant; f. ofzv(·)、fzq(. the) is the relation function of dam front water level-reservoir capacity and tail water level-outlet flow of the reservoir respectively;
fzv(·)、fzqthe (-) is a nonlinear function, and linear processing is carried out by adopting a piecewise linear interpolation function; taking the water level before the dam-reservoir capacity as an example; firstly, the storage capacity interval of reservoir is divided into [ V ]min,Vmax]Discretization is J sub-intervals, each demarcation point is defined as follows:
Figure BDA0002411298540000052
in the formula: vj、ZjRespectively the jth reservoir capacity interpolation point of the reservoir and the corresponding dam front water level;
then introducing a 0-1 integer variable Rj,tAnd satisfies the following constraints:
Figure BDA0002411298540000053
in the formula: rj,tFor indicating variable, when the reservoir capacity of the reservoir in the t period is in the jth reservoir capacity subintervalj,tNot all right 1, otherwise R j,t0; the sub-interval of the storage capacity in which the storage capacity is positioned in the t period can be uniquely determined by the formula (18);
the reservoir dam front water level at the end of the t period can be expressed as
Figure BDA0002411298540000054
The linearization of the relation between the front water level and the reservoir capacity of the dam can be realized through the formulas (17) to (19), and the piecewise linear approximation is carried out on the tail water level-discharge relation function by the method, so that the linearization of the generating head of the unit is realized;
(8) unit dynamic characteristic constraint:
Pi,t=fi,pqh(qi,t,Hi,t) (20)
in the formula: f. ofi,pqh() is a binary relation function between the output of the unit i, the generating flow and the generating head; formula (20) may be replaced with formula (15);
in the aspect of the power characteristic curve of the water turbine, a certain power characteristic curve is used for representing the power characteristic curves corresponding to all water heads in the whole water head subinterval, so that the accuracy of the model is reduced; the invention provides a water turbine power characteristic curve linearization method based on trigonometric internal linear interpolation to improve the accuracy of a model;
selecting 5 power characteristic curves in the maximum and minimum power generation water head intervals of the unit, wherein the power characteristic curves correspond to the high water heads respectively
Figure BDA00024112985400000611
Higher head
Figure BDA0002411298540000067
Medium head
Figure BDA0002411298540000068
Lower head
Figure BDA0002411298540000069
And low head
Figure BDA00024112985400000610
Meanwhile, the maximum output and the maximum power generation flow are considered, each power characteristic curve is divided into 2 sections, and therefore, the whole power characteristic curve of the water turbine is divided into 17 triangular subregions; the dynamic characteristics of a water turbine can be expressed as follows:
Figure BDA0002411298540000061
Figure BDA0002411298540000062
Figure BDA0002411298540000063
Figure BDA0002411298540000064
in the formula: l is the index of the triangular subregion, 1,2, …, 17; μ is the index of each vertex of the triangular subregion, μ ═ 1,2, 3;
Figure BDA0002411298540000065
respectively showing a water head m and a power generation flow m corresponding to the mu-th vertex of the first triangle3The power generation output MW and the power/s; thetai,t,lTo indicate the variable, θ i,t,l1 represents that the combination of the generated power, the water head and the generated flow of the unit in the t period is positioned in the sub-area of the l triangles;
Figure BDA0002411298540000066
represents the weight occupied by the μ -th vertex of the triangle l in the period t;
formula (21) shows that when the unit is in the power generation state, one and only one triangular sub-area is selected; formula (22) indicates that if the triangle l is selected, the sum of the weights of the three vertices is 1, otherwise, the weight of the three vertices is 0; the formula (23) is to interpolate the generating head, if the unit is in a generating state in the time period t, the generating head can be inevitably expressed by the head interpolation values of three vertexes of a certain triangle, otherwise the constraint is invalid; the formula (24) interpolates the generated flow and the generated output respectively;
(9) transmission constraint of the extra/ultra high voltage direct current tie line:
the power transmission power curve of the high-voltage direct-current connecting line is in a step shape, and reverse adjustment cannot be carried out in a short time, so that frequent adjustment of direct-current converting equipment is avoided, and the running reliability of the direct-current connecting line is ensured;
Figure BDA0002411298540000071
because the power transmission power of the direct current connecting line is in a step shape, a linear modeling method of a power transmission curve of the high-voltage direct current connecting line is adopted; dividing a transmission power curve of the direct current tie line into K grades, and if K equivalent generator sets exist, superposing output curves of the K equivalent generator sets to form a power transmission power curve of the direct current tie line;
(10) daily power transmission amount constraint:
in order to guarantee the generating income of the hydropower station at the transmitting end, the actual transmission electric quantity of the hydropower station needs to meet the transmission electric quantity specified in the trans-regional electric power trading contract signed by the transmitting end and the receiving end;
Figure BDA0002411298540000072
in the formula, EgDaily power transmission quantity MWh specified in a power transaction contract signed for a transmitting-end hydropower station and a receiving-end power grid g; epsilon is the allowable deviation proportion of the actual power transmission quantity of the hydropower station at the sending end to the contract power quantity.
As a preferred technical solution of the present invention, in the (9) te/uhp dc link transmission constraint processing, for an equivalent generator set, constraint conditions of a conventional unit combination need to be satisfied, including the following constraints:
① force limit
vg,k,tPg,k,min≤Pg,k,t≤vg,k,tPg,k,max(26)
In the formula: k is the number of the equivalent unit; pg,k,tThe output MW of the kth equivalent unit which transmits power to the power grid g in the period t; v. ofg,k,tThe operation state variable of the kth equivalent unit for transmitting power to the power grid g in the time period t, and v if the equivalent unit k is in the operation state in the time period t g,k,t1, otherwise vg,k,t=0;Pg,k,max、Pg,k,minRespectively the output of the equivalent unit k,Lower limit MW, where P is set to ensure that the DC power curve is steppedg,k,maxAnd Pg,k,minIf the output limit constraint is equal to the output limit constraint, the output limit constraint can be expressed as an expression (27), and the expression indicates that the equivalent unit k runs at fixed power as long as the equivalent unit k is started;
Pg,k,t=vg,k,tPg,k,fix(27)
in the formula: pg,k,fixThe output is the fixed output MW under the operation state of the equivalent unit k;
the sum of the output of all equivalent units in the time period t is equal to P in the formula (2)g,tI.e. by
Figure BDA0002411298540000073
② Start-stop on/off duration constraints
Figure BDA0002411298540000081
Figure BDA0002411298540000082
In the formula: y isg,k,t、y'g,k,tRespectively indicating variables for starting and stopping the equivalent unit k, if the unit k is started in the time period t, y g,k,t1, otherwise y g,k,t0 for y'g,k,tThe same process is carried out; tau isg,k、γg,kRespectively setting the shortest duration h of starting and stopping the equivalent unit k;
③ shutdown limit
Figure BDA0002411298540000083
④ power back regulation limit
vg,k+1,t≤vg,k,t(32)
The above formula specifies the starting sequence among equivalent units; only when the equivalent unit k is in a starting state, the equivalent unit k +1 can be started; equations (29), (30) and (32) effectively prevent the reverse adjustment of the transmitted power in a short time.
As a preferred technical scheme of the invention, the optimization solver adopts a commercial Gurobi optimization solver.
Adopt the produced beneficial effect of above-mentioned technical scheme to lie in:
the invention establishes a short-term optimization scheduling model of the high-voltage direct-current transmission end hydropower station. The model takes the minimum residual load peak-valley difference of the receiving-end power grid as a target function, and aims to fully excavate the trans-regional peak regulation capability of the high-power hydropower station, reduce the peak regulation pressure of the receiving-end power grid and improve the clean energy consumption level of the receiving-end power grid. Besides traditional hydraulic constraints, the unit operation constraints, water head influences and high-voltage direct-current connecting line power transmission limits are fully considered. And aiming at nonlinear factors such as nonlinear peak-shaving objective functions in the model, unit generating heads, unit operation combined vibration regions, unit power characteristic curves, stepped power transmission curve limitation of a high-voltage direct-current connecting line and the like, a corresponding linearization processing strategy is provided. Aiming at the nonlinear constraint of the power characteristic curve of the water turbine, a triangular internal linear interpolation method is innovatively provided, and the power characteristic curve of the water turbine is linearized. The original model is converted into a standard mixed integer linear programming model, and then the model is solved by using a commercial optimization solver Gurobi. The method has the advantages that the Binjin direct-current sending end-stream Luo-Du hydropower station is taken as a research object, examples show that the model has high calculation efficiency, the formulated power transmission plan effectively responds to the peak load regulation requirements of each receiving end power grid, the peak-valley difference of the power grid is obviously reduced, the power transmission limit of the direct-current connecting line is met, the performability of the direct-current connecting line plan is improved, and the cross-region coordinated operation of the sending end hydropower station, the high-voltage direct-current connecting line and the receiving end power grid is realized.
Compared with the linear method of the power characteristic curve of the water turbine reported in the existing literature, the linear interpolation method in the triangle has the following two advantages that the power generation water head of the ① unit is continuous, theoretically, a linear model is more accurate, the linear fitting precision can be adjusted by controlling the number of the triangular sub-regions, the ② method does not need to be executed in multiple steps, understanding and operation are convenient, and the maximum power generation output and the maximum power generation flow of the unit can be effectively considered except the influence of the water head.
On the aspect of processing the transmission constraint of the extra-high voltage direct current connecting line, the multi-equivalent unit coordination modeling method for the power transmission power of the high voltage direct current connecting line controls a direct current transmission power plan in a mode of superposing the output of a plurality of equivalent units, fully utilizes the characteristics of flexibility and high adjusting speed of a direct current control mode on the premise of ensuring that the direct current power meets the constraint conditions such as step and the like, and develops the potential of cross-region clean energy consumption of the direct current connecting line to a greater extent; in practical application, parameters such as the number of equivalent units, fixed operation output, minimum start-stop time, maximum shutdown times and the like can be reasonably set according to historical operation data of a direct current connecting line and experience of scheduling personnel, the adjusting performance of converter station equipment, the upper and lower limits of the injection power of a receiving-end power grid and the like; in addition, in the flood season, the hydropower station usually runs close to the maximum power to reduce water abandon, so that the utilization rate of the direct current connecting line channel is very high, and a power adjusting space is lacked; therefore, the optimization model is more suitable for making the dispatching plan of the high-voltage direct-current transmission end hydropower station with the adjustment space still existing in the direct-current transmission power in the non-flood season.
The method takes a Bingjin direct current sending terminal-stream luohuang hydropower station as a research object, the example shows that the proposed model has higher calculation efficiency, the formulated power transmission plan effectively responds to the peak regulation requirement of each receiving terminal power grid, the peak-valley difference of the power grid is obviously reduced, the power transmission limit of a direct current tie line is met, the performability of the direct current tie line plan is improved, the cross-region coordinated operation of the sending terminal hydropower station, the high-voltage direct current tie line and the receiving terminal power grid is realized, through example research, the method provided by the invention has the advantages that ① not only considers the traditional hydraulic constraint of the hydropower station, but also fully considers the operation constraint of each unit and the influence of a water head on the generating characteristic of the unit, the accuracy of the model is improved, the stable operation and the generating yield of the power station are ensured, ② adopts an equivalent unit output superposition mode, a linearized model with the linear power transmission power limitation of the high-voltage direct current tie line is established, a new linear mathematical model with the high-voltage direct current tie line transmission power is fully developed, the direct current tie line transmission power grid power line transmission power is developed, the new linear power generation efficiency is improved, the new linear power generation efficiency of the white power grid power generation power station, the white load regulation model of the white power station, the white load regulation model is improved, the white power station, the white load regulation model, the white power station is improved, the white power station, the white load regulation model is improved, the white load regulation model of the white power station, the white power station of the white power station, the white power station of.
Drawings
Fig. 1 is a schematic diagram of a vibration region of a unit.
Fig. 2 is a schematic diagram of a hydraulic turbine dynamic characteristic curve triangle interpolation method.
Fig. 3 is a schematic diagram for modeling the transmission power of the high-voltage direct-current connecting line.
FIG. 4 is a flow chart of model construction.
Fig. 5 is a comparison graph of the remaining load of the power grid.
Fig. 6 is a schematic diagram of a generation plan of a brook ferry station.
Fig. 7 is a schematic structural diagram of a reservoir dam front water level process fig. 1 is a structural diagram of an embodiment of the invention.
Detailed Description
The following examples illustrate the invention in detail. The raw materials and various devices used in the invention are conventional commercially available products, and can be directly obtained by market purchase.
In the following description of embodiments, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It should also be understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
As used in this specification and the appended claims, the term "if" may be interpreted contextually as "when", "upon" or "in response to" determining "or" in response to detecting ". Similarly, the phrase "if it is determined" or "if a [ described condition or event ] is detected" may be interpreted contextually to mean "upon determining" or "in response to determining" or "upon detecting [ described condition or event ]" or "in response to detecting [ described condition or event ]".
Furthermore, in the description of the present application and the appended claims, the terms "first," "second," "third," and the like are used for distinguishing between descriptions and not necessarily for describing or implying relative importance.
Reference throughout this specification to "one embodiment" or "some embodiments," or the like, means that a particular feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the present application. Thus, appearances of the phrases "in one embodiment," "in some embodiments," "in other embodiments," or the like, in various places throughout this specification are not necessarily all referring to the same embodiment, but rather "one or more but not all embodiments" unless specifically stated otherwise. The terms "comprising," "including," "having," and variations thereof mean "including, but not limited to," unless expressly specified otherwise.
Example 1 objective function
When a power transmission plan of a hydropower station at a direct regulation transmitting end is formulated, the safe and stable operation of the hydropower station is ensured, and simultaneously the load characteristics of a receiving end power grid in the east region are considered, so that the peak regulation pressure of the power grids in the regions is relieved, and the consumption space of clean energy of the power grids is improved. The peak regulation targets which are commonly used at present are that the maximum entropy condensation function value is minimum and the residual load mean square error of the power grid is minimum, but both the maximum entropy condensation function value and the residual load mean square error of the power grid are difficult to linearize. Considering that the main measure of hydropower peak regulation is to generate more power at the peak load and generate less power or not at the valley load, the model takes the minimum difference between the net load peak and the valley of each receiving-end power grid as the target and is expressed as follows:
Figure BDA0002411298540000111
Cg,t=Cg,t-Pg,t(2)
in the formula: g is the total number of the transmission power grids of the hydropower station at the transmission end; g is the receiving end power grid number; t, t are scheduling period and scheduling period (h), respectively; cg,t、C′g,tRespectively representing the original load and the residual load (MW) of the receiving-end power grid g in a period t; pg,tThe output (MW) of the hydropower station to the grid g during the period t, i.e. the power of the dc link g during the period t, can be obtained from equation (3).
Figure BDA0002411298540000112
Wherein I is the unit number in the hydropower station, IgSet of units for transmitting power to receiving grid g, Pi,tIs the output (MW) of the unit i in the period t.
The objective function is nonlinear, and auxiliary variables are introduced to linearize the objective function and better solve the objective function
Figure BDA0002411298540000115
And gC′so that it satisfies the formula (4).
Figure BDA0002411298540000113
At this time, equation (1) becomes:
Figure BDA0002411298540000114
the formula (5) comprises the peak regulation problem of a plurality of power grids, belongs to the multi-target problem, adopts a weight method to convert the peak regulation problem into a single-target scheduling problem, and takes the difference of the load magnitude of each power grid into consideration to carry out normalization processing on the residual load of the power grids. The above requirements can be translated into the following objective functions:
Figure BDA0002411298540000121
in the formula:
Figure BDA0002411298540000122
maximum raw load (MW) for the g-th grid; w is agFor the weighting factors, equal weighting, i.e. w, is used in the invention g1/G; in the formula (6)
Figure BDA0002411298540000123
The term represents the load peak-valley difference after the normalization of the ith power grid, namely the peak-valley difference rate, and is used for measuring the peak load pressure of the power grid.
Example 2 constraint Condition
(1) Water balance constraint
Figure BDA0002411298540000124
In the formula: vtThe storage capacity (m) of the reservoir at the end of the t period3);ItIs the warehousing flow (m) of the reservoir in the period of t3/s);StRepresenting the reject flow (m) of the plant during a period t3S); Δ t is the period step (h); qtFor the generated flow (m) of the station during the time period t3S); i and I are the total number of units and the number of the units contained in the hydropower station respectively; q. q.si,tGenerating flow (m) of the unit i in the time period t3/s)。
(2) Water level restraint
Zmin≤Zt≤Zmax(8)
Figure BDA0002411298540000125
In the formula: ztRepresenting the dam front water level (m) of the reservoir at the end of the t period; zmax、ZminRespectively the highest value (m) and the lowest value (m) of the reservoir dam front water level; zbeginThe actual water level (m) of the reservoir at the beginning of the dispatching period is used as the water level; zendControlling the water level (m) for the target at the end of the scheduling period; in consideration of the fact that the allowable control water level has certain deviation in the actual scheduling operation process, delta is set as the allowable deviation ratio of the control water level at the end of the period.
(3) Unit output constraint
0≤Pi,t≤ui,tPi,max,ui,t∈{0,1} (10)
In the formula: pi,maxThe maximum generating power (MW) of the unit i; u. ofi,tIs the running state variable of the unit i in the time period t, if the unit i is in the power generation state in the time period tu i,t1, otherwise ui,t=0。
(4) Unit generated current restriction
0≤qi,t≤ui,tqi,max(11)
In the formula: q. q.si,maxMaximum generated flow (m) for unit i3/s)。
(5) Unit start-up and shut-down duration constraints
Figure BDA0002411298540000131
Figure BDA0002411298540000132
In the formula: x is the number ofi,t、x'i,tRespectively, the start and stop operation variables of the unit j, if the unit i, x is started in the time period t i,t1, otherwise xi,t0, provided that unit i, x 'is shut down for period t'i,t1, otherwise x'i,t=0;αi、βiThe shortest duration (h) of the start-up and the stop of the unit is respectively.
(6) Unit vibration zone restraint
The large hydroelectric generating set often has a plurality of vibration regions, and the output range is divided into a plurality of discontinuous intervals, so that the vibration region constraint of the generating set is expressed as:
Figure BDA0002411298540000133
in the formula:
Figure BDA0002411298540000134
PV i,kthe upper limit (MW) and the lower limit (MW) of the output of the kth vibration area of the unit i are respectively.
K unit vibration areas are used for dividing the unit output area into K +1 safe operation areas, as shown in figure 1. The constraint of the formula (14) is a nonlinear constraint, and the nonlinear constraint linearization processing method is shown as a formula (15).
Figure BDA0002411298540000135
In the formula:
Figure BDA0002411298540000136
indicating that the output force of the unit i in the t period is in the kth safe operation area;
Figure BDA0002411298540000137
P i,krespectively represents the upper limit and the lower limit of the output of the kth safe operation area of the unit i, and meets the requirementsP i,1=0,
Figure BDA0002411298540000138
Formula (10) may be replaced with formula (15).
(7) Power generation water purification head restraint
Figure BDA0002411298540000139
In the formula: hi,tA power generation water purification head (m) of the unit i in a time period t; zdtIs the tail water level (m) of the reservoir in the period t; hl (high pressure chemical vapor deposition)i,tFor generating head loss (m) of the unit i in the time period t, and for simplifying calculation, hl is assumed by the inventioni,tIs a constant; f. ofzv(·)、fzq(. is) the relation functions of dam front water level-reservoir capacity and tail water level-outlet flow of reservoir.
fzv(·)、fzqThe (·) is a nonlinear function, and a piecewise linear interpolation function is adopted for linear processing. Take the water level before the dam-reservoir capacity as an example. Firstly, the storage capacity interval of reservoir is divided into [ V ]min,Vmax]Discretization is J sub-intervals, each demarcation point is defined as follows:
Figure BDA0002411298540000141
in the formula: vj、ZjRespectively the jth reservoir capacity interpolation point of the reservoir and the corresponding dam front water level.
Then introduced into0-1 integer variable Rj,tAnd satisfies the following constraints:
Figure BDA0002411298540000142
in the formula: rj,tFor indicating variable, when the reservoir capacity of the reservoir in the t period is in the jth reservoir capacity subintervalj,tNot all right 1, otherwise R j,t0. The sub-interval of the storage capacity in which the storage capacity is positioned in the t period can be uniquely determined by the formula (18).
The reservoir dam front water level at the end of the t period can be expressed as
Figure BDA0002411298540000143
The relation linearization of the front dam water level-reservoir capacity can be realized through the formulas (17) - (19), and the tail water level-discharge quantity relation function is subjected to piecewise linear approximation by the method, so that the linearization of the generating head of the unit is realized.
(8) Unit dynamic characteristic constraint
Pi,t=fi,pqh(qi,t,Hi,t) (20)
In the formula: f. ofi,pqhThe output of the unit i is a binary relation function between the output of the unit i, the generating flow and the generating head. Formula (20) may be replaced with formula (15).
In the aspect of the power characteristic curve of the water turbine, a certain power characteristic curve is used for representing the power characteristic curves corresponding to all water heads in the whole water head subinterval, so that the accuracy of the model is reduced. The invention provides a water wheel power characteristic curve linearization method based on trigonometric internal linear interpolation to improve the accuracy of a model.
As shown in FIG. 2, within the maximum and minimum possible generating head intervals of the unit, 5 power characteristic curves are selected, corresponding to the high head respectively
Figure BDA0002411298540000151
Higher head
Figure BDA0002411298540000152
Medium head
Figure BDA0002411298540000153
Lower head
Figure BDA0002411298540000154
And low head
Figure BDA0002411298540000155
Considering both the maximum output and the maximum generated flow (indicated by the dashed lines in fig. 2), each dynamic characteristic curve is divided into 2 segments, so that the entire turbine dynamic characteristic curve is divided into 17 triangular subregions. The dynamic characteristics of a water turbine can be expressed as follows:
Figure BDA0002411298540000156
Figure BDA0002411298540000157
Figure BDA0002411298540000158
Figure BDA0002411298540000159
in the formula: l is the index of the triangular subregion, 1,2, …, 17; μ is the index of each vertex of the triangular subregion, μ ═ 1,2, 3;
Figure BDA00024112985400001510
respectively showing the water head (m) and the generated current (m) corresponding to the mu-th vertex of the first triangle3/s) and power generation output (MW); thetai,t,lTo indicate the variable, θ i,t,l1 represents that the combination of the generated power, the water head and the generated flow of the unit in the t period is positioned in the sub-area of the l triangles;
Figure BDA00024112985400001511
representing the weight taken up by the μ -th vertex of triangle/during time t.
Formula (21) shows that when the unit is in the power generation state, one and only one triangular sub-area is selected; formula (22) indicates that if the triangle l is selected, the sum of the weights of the three vertices is 1, otherwise, the weight of the three vertices is 0; the formula (23) is to interpolate the generating head, if the unit is in a generating state in the time period t, the generating head can be inevitably expressed by the head interpolation values of three vertexes of a certain triangle, otherwise the constraint is invalid; equation (24) interpolates the generated flow rate and the generated output, respectively.
Compared with the linearization method of the power characteristic curve of the water turbine reported in the existing literature, the linear interpolation method in the triangle provided by the invention has the following two advantages that the power generating head of the ① unit is continuous, the linearization model is more accurate theoretically, the accuracy of linear fitting can be adjusted by controlling the number of the triangular sub-regions, the ② method does not need to be executed in multiple steps, understanding and operation are convenient, and the maximum power generating output and the maximum power generating flow of the unit can be effectively considered besides the influence of the water head.
(9) Transmission constraint of extra/ultra high voltage DC link
As described above, the power transmission power curve of the high-voltage direct-current tie line should be stepped, and should not be adjusted reversely in a short time, so as to avoid frequent adjustment of the dc converter equipment and ensure the operational reliability of the dc tie line.
Figure BDA0002411298540000161
Considering that the power transmission power of the direct-current connecting line is in a step shape, the invention provides a linear modeling method of a power transmission curve of the high-voltage direct-current connecting line by taking the idea of unit combination modeling as reference. As shown in fig. 3, the transmission power curve of the dc link is divided into K steps, and assuming that there are K equivalent generator sets, the output curves of the K equivalent generator sets are superimposed to form a transmission power curve of the dc link. For these equivalent generator sets, the constraint conditions of the traditional unit combination need to be satisfied, which mainly includes the following constraints
① force limit
vg,k,tPg,k,min≤Pg,k,t≤vg,k,tPg,k,max(26)
In the formula: k is the number of the equivalent unit; pg,k,tOutputting power (MW) of the kth equivalent unit which is transmitted to the power grid g in a period t; v. ofg,k,tThe operation state variable of the kth equivalent unit for transmitting power to the power grid g in the time period t, and v if the equivalent unit k is in the operation state in the time period t g,k,t1, otherwise vg,k,t=0;Pg,k,max、Pg,k,minThe upper and lower limits (MW) of the output of the equivalent unit k, respectively, and P is set here to ensure that the curve of the DC transmission power is in a step shapeg,k,maxAnd Pg,k,minIf they are equal, the output limit constraint can be expressed as equation (27), which means that the equivalent unit k operates at a fixed power as long as it is powered on.
Pg,k,t=vg,k,tPg,k,fix(27)
In the formula: pg,k,fixThe fixed output (MW) is the fixed output under the operation state of the equivalent unit k.
The sum of the output of all equivalent units in the time period t is equal to P in the formula (2)g,tI.e. by
Figure BDA0002411298540000162
② Start-stop on/off duration constraints
Figure BDA0002411298540000163
Figure BDA0002411298540000171
In the formula: y isg,k,t、y'g,k,tRespectively indicating variables for starting and stopping the equivalent unit k, if the unit k is started in the time period t, y g,k,t1, otherwise y g,k,t0, toFrom y'g,k,tThe same process is carried out; tau isg,k、γg,kRespectively the shortest duration (h) of the start-up and the stop of the equivalent unit k.
③ shutdown limit
Figure BDA0002411298540000172
④ power back regulation limit
vg,k+1,t≤vg,k,t(32)
The above formula specifies the start-up sequence between equivalent units. As shown in fig. 3, the equivalent unit k +1 can be turned on only when the equivalent unit k is in the on state. The equations (29), (30) and (32) can effectively prevent the reverse adjustment of the transmitted power in a short time. According to the method for the multi-equivalent unit coordination modeling of the power transmission power of the high-voltage direct-current connecting line, the direct-current transmission power plan is controlled in a mode of overlapping the output of a plurality of equivalent units, the characteristics of flexibility and high adjusting speed of a direct-current control mode are fully utilized on the premise that the direct-current power meets constraint conditions such as step and the like, and the potential of cross-region clean energy consumption of the direct-current connecting line is developed to a greater extent. In practical application, parameters such as the number of equivalent units, fixed operation output, minimum start-stop time, maximum shutdown times and the like can be reasonably set according to historical operation data of the direct current tie line and experience of scheduling personnel, the adjusting performance of converter station equipment, the upper and lower limits of the injection power of a receiving-end power grid and the like. In addition, in flood season, the hydropower station usually runs close to the maximum power to reduce water abandon, so that the utilization rate of the direct current connecting line channel is very high, and a power adjusting space is lacked. Therefore, the optimization model is more suitable for making the dispatching plan of the high-voltage direct-current transmission end hydropower station with the adjustment space still existing in the direct-current transmission power in the non-flood season.
(10) Daily power supply restraint
In order to guarantee the generating benefit of the hydropower station at the transmitting end, the actual transmission electric quantity of the hydropower station needs to meet the transmission electric quantity specified in the trans-regional electric power trading contract signed by the transmitting end and the receiving end.
Figure BDA0002411298540000173
In the formula, EgDaily electric power transmission (MWh) specified in an electric power trading contract signed for the transmitting-end hydropower station and the receiving-end power grid g; epsilon is the allowable deviation proportion of the actual power transmission quantity of the hydropower station at the sending end to the contract power quantity.
The specific flow is shown in fig. 4:
example 3 example analysis
In order to verify the effectiveness of the on-demand model construction method, the model is applied to short-term power generation planning of a stream Luo-Du hydropower station at a certain day in the dry season. The Xiluodie hydropower station is a giant water conservancy project located at the downstream of Jinshajiang in China, the reservoir regulation performance is annual regulation, and the Xiluodie hydropower station comprises 18 units, and the total installed capacity is 1260 ten thousand kW. According to the current scheduling scheme, the 9 machine groups on the left bank are subjected to the scheduling of a national power scheduling center and directly transmit power to the Zhejiang power grid through a +/-800 kV extra-high voltage direct-current connecting line, and the 9 machine groups on the right bank are subjected to the scheduling of a southern power grid scheduling center and transmit power to the Guangdong power grid through a +/-500 kV extra-high voltage connecting line. The main operating parameters of the hydropower station/reservoir and the in-plant units are shown in table 1 and table 2, respectively. With 1d as a scheduling cycle and 1h as a scheduling period, the power station warehousing runoff and the load of each receiving end power grid refer to the historical actual value of the day, as shown in table 3. The operation parameters of the equivalent units of the high-voltage direct-current tie lines of each power grid of the stream ferry hydropower station are obtained by analyzing a large amount of historical operation data of each direct-current tie line, as shown in table 4. The daily electric quantity of the Xiludu hydropower station for sending to the Zhejiang power grid and the Guangdong power grid is 55200 MWh and 50900MWh respectively. In the large context of promoting clean energy consumption, the behavior of the hydropower station to abandon water in the non-flood period is generally not allowed, so S is sett0. The allowable deviation of the control water level at the end of the dispatching period of the power station is 0.1%, and the allowable deviation of the actual power transmission amount of the direct current connecting line is set to be 3% (namely, delta is equal to 0.1%, and epsilon is equal to 3%).
TABLE 1 Xiluodie hydropower station operating parameters
Figure BDA0002411298540000181
TABLE 2 characteristic parameters of hydroelectric generating sets
Figure BDA0002411298540000182
TABLE 3 runoff in warehouse of Xiluodi hydropower station and loads of Zhejiang and Guangdong power grids
Figure BDA0002411298540000183
Figure BDA0002411298540000191
Table 4 direct current tie line represents equivalent unit operation parameters
Figure BDA0002411298540000192
The load balance result of each power grid and the ratio of the remaining load of each power grid after actual stream ferry power transmission on the current day are shown in fig. 5, and the statistical results of the load characteristic indexes of each power grid before and after optimization are shown in table 5. The results show that after the hydropower station peak load regulation is optimized, the load peak-valley difference of each power grid is reduced to different degrees, the load peak-valley difference of the Zhejiang power grid and the Guangdong power grid is reduced from 17159MW to 29994MW to 14559MW and 27794MW, and the reduction is 15.2% and 7.33% respectively. Meanwhile, the load peak-valley difference rate and the standard deviation of each power grid are also obviously reduced, which shows that the residual load curve after the optimized peak regulation tends to be more stable. But also can see that, after optimization, the peak regulation effect of the Zhejiang power grid is more obvious, the residual load is more stable, and the peak regulation effect of the Guangdong power grid is less obvious, and the analysis reason is as follows: on one hand, the load trends of the Zhejiang power grid and the Guangdong power grid are basically consistent, the load peak time periods are 9:00-16:00, and the load valley time periods are 1:00-8:00, which means that the two power grids have a competitive relationship for the demand of peak regulation power, and cannot exert complementary advantages; on the other hand, the highest load and peak-to-valley difference of the Guangdong power grid are 75135MW and 29994MW respectively, which are 1.7 times of those of the Zhejiang power grid, while the transmission power of the high-voltage direct-current connecting line cannot be adjusted randomly due to a plurality of limitations, and the power transmitted from the stream Luo-crossing hydropower station to the Guangdong power grid appears as 'water wagons per cup', so that the whole peak regulation effect of the Guangdong power grid is not obvious. However, compared with actual operation data, the indexes of the power grid such as the peak-to-valley difference, the peak-to-valley difference rate, the standard difference and the like obtained by the model calculation are lower than the actual operation indexes, particularly the power grid in Zhejiang, the peak-to-valley difference rate does not decrease or increase reversely after the direct-current transmission power is received, the peak-to-valley pressure is increased, and the peak-to-valley effect is extremely obvious after optimization. The model of the invention can realize better peak regulation effect by optimizing the power of the trans-regional direct current connecting line, simultaneously reduces the peak regulation pressure of two receiving end power grids, and reserves more space for clean energy consumption.
Table 5 statistical results of load characteristic indexes of each grid before and after optimization
Figure BDA0002411298540000193
Fig. 6 shows planned output (dc link transmission plan) of the left and right banks of the rabo ferry station. The left bank power station and the right bank power station operate at the minimum transmission power of the direct current tie line in the load valley period (such as 1:00-6:00) of the receiving end power grid respectively, and operate at the maximum transmission power in the load peak period (such as 10:00-18:00) of the receiving end power grid after short power boost so as to respond to the load fluctuation of the receiving end power grid as much as possible and relieve the peak shaving pressure of the receiving end power grid. Due to the introduction of the formulas (15), (26) and (32), the power transmission power curve of the direct current connecting line is in a step shape, the power transmission power does not reverse in a short time, the electric quantity transmitted to the Zhejiang power grid and the Guangdong power grid is 56200 MWh and 50800MWh respectively, the daily power transmission quantity requirement specified by a power transmission contract can be met, and the power generation benefit of the stream Luo-Chi power station is guaranteed. The direct current sending end hydropower station optimized dispatching model constructed by the invention can avoid frequent adjustment of direct current conversion equipment, and the manufactured power transmission plan can be accepted by sending end hydropower stations and direct current connecting line operators while the peak regulation capability of a receiving end power grid is improved, so that the method has higher practicability.
Fig. 7 shows the dam water level process of the rivulet ferry power station, and it can be seen that the dam water level rises within 1-8 hours and falls within 9-24 hours, and the water level variation amplitude reaches 0.48m in the scheduling period, so that the upper limit and the lower limit of the dam water level are always satisfied. The water level at the end of the dispatching period is 585.80m, and the deviation control requirement of the target end water level is met.
And the starting and stopping states of all the units of the brook ferry hydropower station in all time periods are shown in the table 6. The result shows that each unit meets the constraint that the minimum power generation and shutdown duration is 2h, and the shutdown times of each unit do not exceed 2 times within one day. The optimization model provided by the invention can effectively avoid frequent starting and stopping of the hydroelectric generating set and ensure safe and stable operation of the hydroelectric generating set.
TABLE 6 Start-stop states of units of the Xiluodie hydropower station
Figure BDA0002411298540000201
Figure BDA0002411298540000211
Note that √ denotes a power-on state, and × denotes a power-off state.
In conclusion, the embodiment shows that the short-term optimized dispatching model of the high-voltage direct-current transmitting-end hydropower station with the aim of minimum residual load peak-valley difference of the receiving-end power grid is constructed aiming at the current situation that a large number of large hydropower stations transmit power to the power grid of developed east regions through the high-voltage direct-current connecting lines but do not regulate peaks, and the validity of the model is verified by taking the short-term dispatching plan making of the stream Luo-ferry hydropower station as an example; the following conclusions were made:
(1) besides the traditional hydraulic constraint of the hydropower station, the operation constraint of each unit and the influence of a water head on the generating characteristic of the unit are also fully considered, the accuracy of the model is improved, and the stable operation and the generating benefit of the hydropower station are guaranteed;
(2) the method adopts an equivalent unit output superposition mode to establish a linear mathematical model of the transmission power limit of the high-voltage direct-current connecting line, not only gives full play to the characteristic that the direct-current connecting line can be quickly adjusted, but also avoids frequent switching of high-voltage direct-current converting equipment and improves the plan executability of the direct-current connecting line;
(3) aiming at nonlinear factors in a short-term optimization scheduling model of a direct-current transmitting end hydropower station, effective linearization processing strategies are respectively provided, an original MINLP model is converted into an MILP model, and efficient solving of the model is still realized by means of commercial optimization software with superior performance;
(4) after optimization, the load peak-valley difference of the Zhejiang power grid and the Guangdong power grid is respectively reduced by 15.2% and 7.33%, and compared with an actual power transmission plan, the load peak-valley difference adjusting method has the advantages that the load adjusting capacity of a large hydropower station on a receiving-end power grid can be better exerted, and a more obvious peak adjusting effect is obtained;
(5) the invention discloses a linear interpolation method for a triangular internal part, which is characterized in that the dynamic characteristic curve of a water turbine is a plurality of groups of output-power generation flow curve clusters under different power generation water heads, and the accuracy of a linear model is improved by linearizing the dynamic characteristic curve of the water turbine;
(6) with the continuous promotion of clean energy substitution in the east region of China, large-scale hydropower stations newly built in the southwest region, such as Wudongde and white crane beaches, continue to transmit power to the east region through direct current connecting lines, and new energy such as wind power and the like in the local region are continuously connected to the power grid.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.

Claims (6)

1. A direct current sending end hydropower station optimal scheduling method compatible with receiving end power grid peak regulation requirements is characterized by comprising the following steps: modeling is carried out on the hydropower short-term optimization scheduling problem to obtain a mathematical model, after calculation conditions are set, firstly, an objective function is linearized, linearization processing is carried out on nonlinear target constraint on the premise that precision is allowed, then an original non-convex mixed integer nonlinear programming model is converted into a mixed integer linear programming model, and an optimization solver is used for solving the model on the basis.
2. The method for optimizing and scheduling the direct-current transmitting-end hydropower station compatible with the peak shaving requirement of the receiving-end power grid according to claim 1, is characterized in that: the method for converting the initial model into the mixed integer linear programming model comprises the following steps: firstly, establishing a short-term optimization scheduling model of the high-voltage direct-current transmitting-end hydropower station, and taking the minimum residual load peak-valley difference of the receiving-end power grid as a target function of the model so as to fully excavate the trans-regional peak regulation capability of the high-power hydropower station, reduce the peak regulation pressure of the receiving-end power grid and improve the clean energy consumption level of the receiving-end power grid; in addition to hydraulic constraint, unit operation constraint, waterhead influence and high-voltage direct-current connecting line power transmission limitation are increased; carrying out linearization processing on nonlinear factors such as nonlinear peak regulation objective functions in the model, unit generating heads, unit operation combined vibration regions, unit power characteristic curves, stepped power transmission curve limitation of a high-voltage direct-current connecting line and the like; aiming at nonlinear constraint of a power characteristic curve of the water turbine, a triangular internal linear interpolation method is constructed, and the power characteristic curve of the water turbine is linearized; and realizing the conversion from the original model to the standard mixed integer linear programming model.
3. The method for optimizing and scheduling the direct-current transmitting-end hydropower station compatible with the peak shaving requirement of the receiving-end power grid according to claim 1, is characterized in that: the linearization processing of the objective function comprises the following steps:
firstly, constructing an objective function, and expressing the minimum difference between net load peaks and valleys of each receiving-end power grid as follows:
Figure FDA0002411298530000011
C′g,t=Cg,t-Pg,t(2)
in the formula: g is the total number of the transmission power grids of the hydropower station at the transmission end; g is the receiving end power grid number; t, t are scheduling period and scheduling period h, respectively; cg,t、C′g,tRespectively representing the original load and the residual load MW of the receiving-end power grid g in a period t; pg,tThe output MW of the hydropower station to the power grid g in the t period is represented, namely the power of the direct current tie line g in the t period can be obtained by the formula (3);
Figure FDA0002411298530000012
wherein I is the unit number in the hydropower station, IgSet of units for transmitting power to receiving grid g, Pi,tThe output MW of the unit i in the time period t is obtained;
further, auxiliary variables are introduced
Figure FDA0002411298530000013
And gC′it is made to satisfy equation (4), thereby linearizing the objective function to solve:
Figure FDA0002411298530000014
at this time, equation (1) becomes:
Figure FDA0002411298530000015
the formula (5) comprises the peak regulation problem of a plurality of power grids, belongs to the multi-target problem, adopts a weight method to convert the peak regulation problem into a single-target scheduling problem, and takes the difference of the load magnitude of each power grid into consideration to carry out normalization processing on the residual load of the power grids; the objective function is transformed into the following function:
Figure FDA0002411298530000021
in the formula:
Figure FDA0002411298530000022
the maximum original load MW of the g-th power grid; w is agFor the weighting factors, equal weighting, i.e. w, is used in the inventiong1/G; in the formula (6)
Figure FDA0002411298530000023
The term represents the load peak-valley difference after the normalization of the ith power grid, namely the peak-valley difference rate, and is used for measuring the peak load pressure of the power grid.
4. The method for optimizing and scheduling the direct-current transmitting-end hydropower station compatible with the peak shaving requirement of the receiving-end power grid according to claim 1, is characterized in that: the linearization process of the constraint condition comprises the following steps:
(1) and (3) water balance constraint:
Figure FDA0002411298530000024
in the formula: vtIs the storage capacity m of the reservoir at the end of the t period3;ItIs the warehousing flow m of the reservoir in the time period t3/s;StRepresenting water reject flow m of the plant during a period t3S; Δ t is a time period step h; qtFor the generating flow m of the power station in the time period t3S; i and I are the total number of units and the number of the units contained in the hydropower station respectively; q. q.si,tGenerating flow m of unit i in t period3/s;
(2) Water level restraint:
Zmin≤Zt≤Zmax(8)
Figure FDA0002411298530000025
in the formula: ztRepresenting the dam front water level m of the reservoir at the end of the t period;Zmax、Zminrespectively the highest value m and the lowest value m of the front water level of the reservoir dam; zbeginThe actual water level m of the reservoir at the beginning of the dispatching period; zendControlling the water level m for the target at the end of the dispatching period; considering that a certain deviation exists in the allowable control water level in the actual scheduling operation process, setting delta as the allowable deviation proportion of the control water level at the end of the period;
(3) unit output restraint:
0≤Pi,t≤ui,tPi,max,ui,t∈{0,1} (10)
in the formula: pi,maxThe maximum generating power MW of the unit i; u. ofi,tIs the running state variable of the unit i in the time period t, if the unit i is in the power generation state in the time period t, ui,t1, otherwise ui,t=0;
(4) And (3) restraining the generating flow of the unit:
0≤qi,t≤ui,tqi,max(11)
in the formula: q. q.si,maxMaximum generation flow m for unit i3/s;
(5) And (3) restraining the starting and stopping duration of the unit:
Figure FDA0002411298530000031
Figure FDA0002411298530000032
in the formula: x is the number ofi,t、x'i,tRespectively, the start and stop operation variables of the unit j, if the unit i, x is started in the time period ti,t1, otherwise xi,t0, provided that unit i, x 'is shut down for period t'i,t1, otherwise x'i,t=0;αi、βiRespectively setting the shortest duration h of the start and stop of the unit;
(6) and (3) restraining a vibration area of the unit:
the large hydroelectric generating set often has a plurality of vibration regions, and the output range is divided into a plurality of discontinuous intervals, so that the vibration region constraint of the generating set is expressed as:
Figure FDA0002411298530000033
in the formula:
Figure FDA0002411298530000034
PV i,krespectively setting the upper limit MW and the lower limit MW of the output of the kth vibration area of the unit i;
dividing a unit output interval into K +1 safe operation areas by utilizing K unit vibration areas, wherein the constraint of the formula (14) is nonlinear constraint, and the nonlinear constraint linearization processing method is shown as the formula (15);
Figure FDA0002411298530000035
in the formula:
Figure FDA0002411298530000041
indicating that the output force of the unit i in the t period is in the kth safe operation area;
Figure FDA0002411298530000042
P i,krespectively represents the upper limit and the lower limit of the output of the kth safe operation area of the unit i, and meets the requirementsP i,1=0,
Figure FDA0002411298530000043
Formula (10) may be replaced with formula (15);
(7) power generation water purification head restraint:
Figure FDA0002411298530000044
in the formula: hi,tGenerating water purification heads m for the unit i in a time period t; zdtThe tail water level m of the reservoir in the period t; hl (high pressure chemical vapor deposition)i,tAssuming hl for simplifying calculation for generating head loss m of the unit i in the time period ti,tIs a constant; f. ofzv(·)、fzq(. the) is the relation function of dam front water level-reservoir capacity and tail water level-outlet flow of the reservoir respectively;
fzv(·)、fzqthe (-) is a nonlinear function, and linear processing is carried out by adopting a piecewise linear interpolation function; taking the water level before the dam-reservoir capacity as an example; firstly, the storage capacity interval of reservoir is divided into [ V ]min,Vmax]Discretization is J sub-intervals, each demarcation point is defined as follows:
Figure FDA0002411298530000045
in the formula: vj、ZjRespectively the jth reservoir capacity interpolation point of the reservoir and the corresponding dam front water level;
then introducing a 0-1 integer variable Rj,tAnd satisfies the following constraints:
Figure FDA0002411298530000046
in the formula: rj,tFor indicating variable, when the reservoir capacity of the reservoir in the t period is in the jth reservoir capacity subintervalj,tNot all right 1, otherwise Rj,t0; the sub-interval of the storage capacity in which the storage capacity is positioned in the t period can be uniquely determined by the formula (18);
the reservoir dam front water level at the end of the t period can be expressed as
Figure FDA0002411298530000047
The linearization of the relation between the front water level and the reservoir capacity of the dam can be realized through the formulas (17) to (19), and the piecewise linear approximation is carried out on the tail water level-discharge relation function by the method, so that the linearization of the generating head of the unit is realized;
(8) unit dynamic characteristic constraint:
Pi,t=fi,pqh(qi,t,Hi,t) (20)
in the formula: f. ofi,pqhBetween output and generated flow and head of unit iA binary relation function; formula (20) may be replaced with formula (15);
in the aspect of the power characteristic curve of the water turbine, a certain power characteristic curve is used for representing the power characteristic curves corresponding to all water heads in the whole water head subinterval, so that the accuracy of the model is reduced; the invention provides a water turbine power characteristic curve linearization method based on trigonometric internal linear interpolation to improve the accuracy of a model;
selecting 5 power characteristic curves in the maximum and minimum power generation water head intervals of the unit, wherein the power characteristic curves correspond to the high water heads respectively
Figure FDA0002411298530000051
Higher head
Figure FDA0002411298530000052
Medium head
Figure FDA0002411298530000053
Lower head
Figure FDA0002411298530000054
And low head
Figure FDA0002411298530000055
Meanwhile, the maximum output and the maximum power generation flow are considered, each power characteristic curve is divided into 2 sections, and therefore, the whole power characteristic curve of the water turbine is divided into 17 triangular subregions; the dynamic characteristics of a water turbine can be expressed as follows:
Figure FDA0002411298530000056
Figure FDA0002411298530000057
Figure FDA0002411298530000058
Figure FDA0002411298530000059
in the formula: l is the index of the triangular subregion, 1,2, …, 17; μ is the index of each vertex of the triangular subregion, μ ═ 1,2, 3;
Figure FDA00024112985300000510
respectively showing a water head m and a power generation flow m corresponding to the mu-th vertex of the first triangle3The power generation output MW and the power/s; thetai,t,lTo indicate the variable, θi,t,l1 represents that the combination of the generated power, the water head and the generated flow of the unit in the t period is positioned in the sub-area of the l triangles;
Figure FDA00024112985300000511
represents the weight occupied by the μ -th vertex of the triangle l in the period t;
formula (21) shows that when the unit is in the power generation state, one and only one triangular sub-area is selected; formula (22) indicates that if the triangle l is selected, the sum of the weights of the three vertices is 1, otherwise, the weight of the three vertices is 0; the formula (23) is to interpolate the generating head, if the unit is in a generating state in the time period t, the generating head can be inevitably expressed by the head interpolation values of three vertexes of a certain triangle, otherwise the constraint is invalid; the formula (24) interpolates the generated flow and the generated output respectively;
(9) transmission constraint of the extra/ultra high voltage direct current tie line:
the power transmission power curve of the high-voltage direct-current connecting line is in a step shape, and reverse adjustment cannot be carried out in a short time, so that frequent adjustment of direct-current converting equipment is avoided, and the running reliability of the direct-current connecting line is ensured;
Figure FDA0002411298530000061
because the power transmission power of the direct current connecting line is in a step shape, a linear modeling method of a power transmission curve of the high-voltage direct current connecting line is adopted; dividing a transmission power curve of the direct current tie line into K grades, and if K equivalent generator sets exist, superposing output curves of the K equivalent generator sets to form a power transmission power curve of the direct current tie line;
(10) daily power transmission amount constraint:
in order to guarantee the generating income of the hydropower station at the transmitting end, the actual transmission electric quantity of the hydropower station needs to meet the transmission electric quantity specified in the trans-regional electric power trading contract signed by the transmitting end and the receiving end;
Figure FDA0002411298530000062
in the formula, EgDaily power transmission quantity MWh specified in a power transaction contract signed for a transmitting-end hydropower station and a receiving-end power grid g; epsilon is the allowable deviation proportion of the actual power transmission quantity of the hydropower station at the sending end to the contract power quantity.
5. The optimal scheduling method of the direct current sending end hydropower station compatible with the peak shaving requirement of the receiving end power grid according to claim 4, characterized by comprising the following steps: in the transmission constraint processing of the ultra/ultra-high voltage direct current tie line (9), for an equivalent generator set, constraint conditions of a traditional unit combination need to be met, wherein the constraint conditions comprise the following constraints:
① force limit
vg,k,tPg,k,min≤Pg,k,t≤vg,k,tPg,k,max(26)
In the formula: k is the number of the equivalent unit; pg,k,tThe output MW of the kth equivalent unit which transmits power to the power grid g in the period t; v. ofg,k,tThe operation state variable of the kth equivalent unit for transmitting power to the power grid g in the time period t, and v if the equivalent unit k is in the operation state in the time period tg,k,t1, otherwise vg,k,t=0;Pg,k,max、Pg,k,minThe upper and lower limits MW of output of the equivalent unit k are respectively, and P is set here to ensure that the curve of the DC transmission power is in a step shapeg,k,maxAnd Pg,k,minIf they are equal, the constraint of output limit can be expressed as the formula (27), which means that the equivalent unit k is at a fixed power as long as it is turned onRunning;
Pg,k,t=vg,k,tPg,k,fix(27)
in the formula: pg,k,fixThe output is the fixed output MW under the operation state of the equivalent unit k;
the sum of the output of all equivalent units in the time period t is equal to P in the formula (2)g,tI.e. by
Figure FDA0002411298530000071
② Start-stop on/off duration constraints
Figure FDA0002411298530000072
Figure FDA0002411298530000073
In the formula: y isg,k,t、y'g,k,tRespectively indicating variables for starting and stopping the equivalent unit k, if the unit k is started in the time period t, yg,k,t1, otherwise yg,k,t0 for y'g,k,tThe same process is carried out; tau isg,k、γg,kRespectively setting the shortest duration h of starting and stopping the equivalent unit k;
③ shutdown limit
Figure FDA0002411298530000074
④ power back regulation limit
vg,k+1,t≤vg,k,t(32)
The above formula specifies the starting sequence among equivalent units; only when the equivalent unit k is in a starting state, the equivalent unit k +1 can be started; equations (29), (30) and (32) effectively prevent the reverse adjustment of the transmitted power in a short time.
6. The method for optimizing and scheduling the direct-current transmitting-end hydropower station compatible with the peak shaving requirement of the receiving-end power grid according to claim 1, is characterized in that: the optimization solver adopts a commercial Gurobi optimization solver.
CN202010177499.9A 2020-03-13 2020-03-13 Direct-current transmitting-end hydropower station optimal scheduling method compatible with peak regulation requirements of receiving-end power grid Pending CN111353654A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010177499.9A CN111353654A (en) 2020-03-13 2020-03-13 Direct-current transmitting-end hydropower station optimal scheduling method compatible with peak regulation requirements of receiving-end power grid

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010177499.9A CN111353654A (en) 2020-03-13 2020-03-13 Direct-current transmitting-end hydropower station optimal scheduling method compatible with peak regulation requirements of receiving-end power grid

Publications (1)

Publication Number Publication Date
CN111353654A true CN111353654A (en) 2020-06-30

Family

ID=71196072

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010177499.9A Pending CN111353654A (en) 2020-03-13 2020-03-13 Direct-current transmitting-end hydropower station optimal scheduling method compatible with peak regulation requirements of receiving-end power grid

Country Status (1)

Country Link
CN (1) CN111353654A (en)

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110533236A (en) * 2019-08-21 2019-12-03 云南电网有限责任公司 A kind of power station refines peak regulation dispatching method in short term
CN111832830A (en) * 2020-07-21 2020-10-27 河南郑大水利科技有限公司 Tail water level-based big data optimization operation method for radial flow type hydropower station
CN114400716A (en) * 2022-03-29 2022-04-26 华中科技大学 Capacity selection method for hydropower station unit expansion
CN114595893A (en) * 2022-03-11 2022-06-07 国家电网公司西南分部 Short-term coordination optimization method and device for drainage basin wind-solar-water complementary power generation system
CN115545768A (en) * 2022-10-06 2022-12-30 大连川禾绿能科技有限公司 Large hydropower trans-provincial and trans-regional day-ahead random bidding method considering contract decomposition
WO2023179118A1 (en) * 2022-03-23 2023-09-28 中国能源建设集团江苏省电力设计院有限公司 Method and system for optimizing direct-current power transmission curve of multi-energy complementary integrated external transmission base
CN118521432A (en) * 2024-07-23 2024-08-20 寿光南水北调供水有限公司 Intelligent water conservancy integrated management system

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110417048A (en) * 2019-07-05 2019-11-05 合肥工业大学 A kind of DC grid of consideration source net lotus constraint send receiving end combined adjusting peak optimization method
CN110533236A (en) * 2019-08-21 2019-12-03 云南电网有限责任公司 A kind of power station refines peak regulation dispatching method in short term

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110417048A (en) * 2019-07-05 2019-11-05 合肥工业大学 A kind of DC grid of consideration source net lotus constraint send receiving end combined adjusting peak optimization method
CN110533236A (en) * 2019-08-21 2019-12-03 云南电网有限责任公司 A kind of power station refines peak regulation dispatching method in short term

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
CHENG CHUNTIAN 等: ""AN MILP-based model for short-term peak shaving operation of pumped-storage hydropower plants serving multiple power grids"", 《ENERGY》 *
周凌安等: "考虑机组组合的梯级水电站跨省区多电网调峰优化调度方法", 《电网技术》 *

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110533236A (en) * 2019-08-21 2019-12-03 云南电网有限责任公司 A kind of power station refines peak regulation dispatching method in short term
CN111832830A (en) * 2020-07-21 2020-10-27 河南郑大水利科技有限公司 Tail water level-based big data optimization operation method for radial flow type hydropower station
CN111832830B (en) * 2020-07-21 2022-12-16 河南郑大水利科技有限公司 Tail water level-based big data optimization operation method for radial flow type hydropower station
CN114595893A (en) * 2022-03-11 2022-06-07 国家电网公司西南分部 Short-term coordination optimization method and device for drainage basin wind-solar-water complementary power generation system
WO2023179118A1 (en) * 2022-03-23 2023-09-28 中国能源建设集团江苏省电力设计院有限公司 Method and system for optimizing direct-current power transmission curve of multi-energy complementary integrated external transmission base
CN114400716A (en) * 2022-03-29 2022-04-26 华中科技大学 Capacity selection method for hydropower station unit expansion
CN115545768A (en) * 2022-10-06 2022-12-30 大连川禾绿能科技有限公司 Large hydropower trans-provincial and trans-regional day-ahead random bidding method considering contract decomposition
CN118521432A (en) * 2024-07-23 2024-08-20 寿光南水北调供水有限公司 Intelligent water conservancy integrated management system
CN118521432B (en) * 2024-07-23 2024-10-01 寿光南水北调供水有限公司 Intelligent water conservancy integrated management system

Similar Documents

Publication Publication Date Title
CN111353654A (en) Direct-current transmitting-end hydropower station optimal scheduling method compatible with peak regulation requirements of receiving-end power grid
Xuewei et al. Research on energy storage configuration method based on wind and solar volatility
CN108092324B (en) AGC control system and control method for wind power participating in peak shaving frequency modulation
CN111737846B (en) Method for enabling hydropower plant to participate in clearing calculation of electric power spot market
CN108133104B (en) Long-term cross-basin multi-ladder-level hydropower optimization operation simulation method
CN108767895A (en) Consider the mating power supply capacity optimization method of sending water scene of resource constraint
CN101576055B (en) Generation control method for wind electric power generation fields group capable of restraining 'crowding out effect'
CN107959302A (en) More attribute multiple target energy storage operating mode applicability comparative analysis methods
CN104578176A (en) Method for making power generation plan in consideration of direct current interaction
Su et al. Optimization model for the short-term operation of hydropower plants transmitting power to multiple power grids via HVDC transmission lines
CN112583051B (en) Optimized scheduling model construction method of variable-speed pumped storage unit in regional power grid
CN110808613A (en) Method for improving wind power utilization rate by using hybrid energy storage
CN116667362A (en) Daily peak regulation operation method for step pumped storage power station
CN114759620A (en) Reactive power cooperative optimization regulation and control method, device and system for wind and light storage station group
CN112769156A (en) Source network load storage coordinated operation method considering large-scale offshore wind power grid connection
CN114862457B (en) Bid electricity quantity boundary determination method for step hydropower station group participating in day-ahead spot market
CN102593844B (en) Method for controlling voltage reactive variables of high-voltage power grid transformer substation
CN117254503A (en) Source-net-storage-load double-layer collaborative low-carbon scheduling method, equipment and medium based on wind power consumption
CN114757509A (en) Day-ahead optimized scheduling method for hydropower enrichment power grid in spot market environment
CN112580872B (en) Short-term optimization scheduling method of water-light combined system based on opportunity constraint planning
CN109888775A (en) A kind of underrun day power grid structures optimization method considering wind power integration
CN109672226A (en) A kind of adjustable side control method of hydroenergy storage station wide area power-generating control system
CN111564873B (en) Integrated gas-electric energy system optimization method considering unit start and stop
Li et al. Research on the control strategy of energy storage participation in power system frequency regulation
Huang et al. A multi-time scale scheduling method for wind-PV-pumped storage-electrochemical energy storage integrated generation system

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
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20200630