CN117833299A - Mixed extraction and storage power station group capacity distribution method and system and electronic equipment - Google Patents
Mixed extraction and storage power station group capacity distribution method and system and electronic equipment Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 51
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Abstract
The invention discloses a method, a system and electronic equipment for distributing capacity of a hybrid pumping and accumulating power station group, and relates to the field of power systems, wherein the method comprises the following steps: constructing an objective function for maximizing the total expected efficiency of the hybrid storage power station according to the total output curve, and further constructing a multi-scenario efficiency model of the hybrid pumping power station; respectively determining an interaction strategy and an operation strategy of the hybrid pumping and accumulating power station, the internal cascade hydropower and the pumping and accumulating unit according to the multi-scene efficiency model of the hybrid pumping and accumulating station; according to the multi-scene efficiency model, the interaction strategy and the operation strategy of the hybrid pumping power storage station, a day-ahead scene interaction model taking the maximum social efficiency as an objective function is established; according to a day-ahead scene interaction model, a Lagrange function is constructed based on the KKT theory, and an optimal capacity allocation combination under multiple scenes of the hybrid pumping and accumulating power station is determined based on a large M method and a binary expansion method. The invention can determine the optimal capacity allocation combination under multiple scenes of the hybrid pumping power storage station, thereby improving the reliability and stability of the power system.
Description
Technical Field
The invention relates to the field of power systems, in particular to a method and a system for distributing capacity of a hybrid pumping power storage station group and electronic equipment.
Background
With the large-scale integration of renewable energy sources such as wind and light in an electric power system, the fluctuation and intermittence of the system are enhanced, and the mismatching of energy supply and demand and the instability of the electric power system are caused. Hybrid extraction and storage power stations have been developed to take advantage of their dual energy storage technology to provide flexible scheduling of renewable energy and smoothing of energy fluctuations.
Pumped storage is an energy storage technology which is widely used, and has the characteristics of large capacity, long energy storage time and high efficiency by pumping water from a low position to a high position for energy storage and releasing the water through a turbine generator to generate electricity when needed. The mixed pumping power storage station combines the traditional hydropower limited by water resource availability and water level change with a pumped storage technology, uses pumped storage as an auxiliary means, uses redundant power for pumping water and discharges water to generate power when needed, so that the traditional hydropower is not completely dependent on runoff conditions, and the flexibility of hydropower generation is improved. Because the capacity and the water level change range of the reservoir determine the time scale of the energy storage of the hydropower station, and the traditional hydropower station generally has larger reservoir capacity, the hybrid pumping and accumulating power station can realize energy storage of an hour level or even longer, can be used for adjusting peak load of a power system, balances load fluctuation of the system and improves stability and reliability of a power grid.
The traditional cascade hydropower station generally settles according to peak-to-valley electricity prices, the characteristics and advantages of hydropower can be better exerted to meet the load demands of an electric power system, the output of the hydropower station is regulated by providing economic incentives, the economic benefits of the hydropower station in the power supply capacity and the supply and demand conditions of different load periods are reflected, the supply and demand balance of the electric power system is promoted, and meanwhile, the change of peak-to-valley load characteristics in the electric power market is reflected.
The pumped storage is a specific mechanism for rewarding and settling the capacity supply and actual charging and discharging actions of the pumped storage system according to the two electricity price making results, and the mechanism is divided into two parts of capacity electricity price and electricity price for settlement. The calculation of the electricity price of capacity is typically based on the rated capacity of the pumped-storage system and its ability to regulate, reserve or peak-to-valley balance roles played in the power system schedule, with the bonus system providing its capacity and regulation capabilities to meet system demands and provide a stable power supply. The electric quantity electricity price is the electricity price paid according to the actual charge and discharge quantity of the pumped storage system, and the rewarding system performs charge and discharge operations according to market demands and price differences under different market conditions so as to maximize economic benefits. The two electricity price settlement mechanisms provide comprehensive economic incentives for pumped storage participation and optimized operation, promote the supply and demand balance and flexibility of the electric power market, and improve the reliability of the electric power system.
Compared with a single-mode hydropower station or a single-mode pumping and accumulating power station, the hybrid pumping and accumulating power station has more flexible energy regulation and control capability, can better participate in the supply and demand balance and price discovery of the electric power market, purchase electricity and pump water in the period of low electricity demand or low electricity price according to the market price and demand condition so as to obtain low-cost electric power supply, discharge water for power generation in the period of high electricity price or high electricity price to improve selling price, realize spread income and effectively improve the economic benefit of the system.
Based on the background, there is a need to provide a method for participating in multi-scenario capacity allocation of a hybrid pumping and storing station, which organically combines two forms of pumped storage and traditional step hydropower, so that the hybrid pumping and storing station has stronger system regulation capability, and the scheduling economy and flexibility of the hybrid pumping and storing station are improved; the method is beneficial to optimizing the operation strategy of the hybrid pumping and storing station, realizes the optimal utilization of peak-valley energy, has positive influence on the reliability and stability of the power system, and provides a solution for the large-scale integration of renewable energy and the stable operation of the power system.
Disclosure of Invention
The invention aims to provide a method, a system and electronic equipment for distributing capacity of a hybrid pumping and accumulating power station group, which can determine the optimal capacity distribution combination of the hybrid pumping and accumulating power station in multiple scenes, thereby improving the reliability and stability of a power system.
In order to achieve the above object, the present invention provides the following solutions: a hybrid extraction and storage power station group capacity allocation method, comprising: acquiring a total output curve of the hybrid pumping power storage station in a scheduling period;
and constructing an objective function for maximizing the total expected efficiency of the hybrid storage power station according to the total output curve, and further constructing a multi-scene efficiency model of the hybrid pumping power station.
And respectively determining an interaction strategy and an operation strategy of the hybrid pumping and accumulating power station, the internal step hydropower and the pumping and accumulating unit according to the multi-scene efficiency model of the hybrid pumping and accumulating station.
And building a day-ahead scene interaction model taking the maximum social efficiency as an objective function according to the multi-scene efficiency model, the interaction strategy and the operation strategy of the hybrid pumping power storage station.
According to a day-ahead scene interaction model, a Lagrange function is constructed based on the KKT theory, and an optimal capacity allocation combination under multiple scenes of the hybrid pumping and accumulating power station is determined based on a large M method and a binary expansion method.
Optionally, the building an objective function for maximizing the total expected efficiency of the hybrid storage power station according to the total output curve, so as to build a multi-scenario efficiency model of the hybrid pumping power station, which specifically includes:。
。
。
。
。
wherein,、/>、/>、/>respectively represent +.>The mixed pumped storage power station is->Step hydropower peak-valley scene efficiency at moment, two-part scene efficiency of pumping and storage unit, mixed pumping and storage station participating in spot scene efficiency, pumping loss, < ->、/>Respectively->Moment step hydroelectric generating set peak-valley electricity price and corresponding +.>Hydroelectric power generation capacity of hybrid pumped storage power station, < ->、/>The capacity, the electric quantity and the electricity price in two-part system scenes are respectively +.>For the available installed capacity of the power station pumping and accumulating unit, < > for>Is->The mixed pumped storage power station is->Generating capacity of pumping and accumulating unit at moment->Is->The mixed pumped storage power station is->Day-ahead spot scene node marginal electricity price of moment,/->Is->The mixed pumped storage power station is->Time and scene->Generating capacity of the interaction section; />Is->Time->The mixed pumped storage power station is->The pumping power consumption of the interaction section, and max is the maximum value.
Optionally, the multi-scenario efficiency model of the power storage station according to the mixed extractionThe method comprises the steps of respectively determining an interaction strategy and an operation strategy of the hybrid pumping and accumulating power station, the internal cascade hydropower and pumping and accumulating unit, and specifically comprises the following steps: the interaction strategy is as follows:；/>；/>；/>the method comprises the steps of carrying out a first treatment on the surface of the Wherein (1)>For the ith hybrid pumped storage station +.>Information disclosure of interactive section pumping and mixed pumping, < ->Andthe i-th hybrid pumped storage power station is +.>Information disclosure upper limit constraint and lower limit constraint of interactive section pumping mixed pumping, and +_in>For the ith hybrid pumped storage station +.>The information disclosure of the interactive section pumping hybrid power generation,and->Respectively the ith mixtureThe pumped storage power station is->Upper limit constraint and lower limit constraint of information disclosure of interactive section power generation, and the method is->For the ith hybrid pumped storage station +.>-1 information disclosure of interactive segment pumping hybrid pumping,for the ith hybrid pumped storage station +.>-1 information disclosure of interactive section water pumping hybrid power generation.
The operating strategy is:。
。
。
。
。
。
。
；/>。
wherein,is->Reservoir real-time storage capacity of hybrid pumped storage power station at time t +>Is->Reservoir real-time storage capacity of hybrid pumped storage power station at t-1 moment>And->Respectively +.>The upper limit and the lower limit of the reservoir capacity of the mixed pumped storage power station are +.>And->Respectively +.>A reservoir capacity control value of each hybrid pumped storage power station at the beginning of a scheduling period; />And->Respectively +.>Average warehouse-in and warehouse-out flow of each hybrid pumped storage power station; />And->Respectively represent +.>The water amount of the mixed pumped storage power station is increased from the lower level and is reduced due to the pumping of the upper level power station; />And->Respectively represent +.>Generating flow of the hydroelectric unit and the pumping and accumulating unit of the hybrid pumped storage power station; />Is->The water discarding amount of the mixed pumped storage power station; />The flow correction coefficient is a step flow correction coefficient;indicate->-1 hybrid pumped storage power station ∈1->Time period delivery flow, < > on>Is the step flow propagation time; />Is->The mixed pumped storage power station is->Time interval flow; />、/>Respectively represent +.>The upper and lower limits of the delivery flow of the mixed pumped storage power station are +.>、/>Respectively represent +.>The upper and lower limits of the flow of the section of the mixed pumped storage power station.
Optionally, the building a day-ahead scenario interaction model with the maximum social efficiency as an objective function according to the multi-scenario efficiency model, the interaction strategy and the operation strategy of the hybrid power extraction and storage station specifically includes:。
。
。
。
。
。
wherein,、/>user +.>Thermal power plant->At->、/>Information disclosure of the interaction section; />、User +.>Thermal power plant->In the interactive section->、/>Is a power of (2); />、/>、/>、/>Respectively collecting nodes of a hybrid pumped storage power station, a user, a thermal power plant and a system; />For node->And->The value of the inter-line admittance,is->Time node->Voltage phase of (2); />Is->Time node->Voltage phase of (2); />For node->And (3) withUpper limit of transmission of inter-line tide.
A hybrid extraction and storage plant group capacity distribution system comprising: and the total output curve acquisition module is used for acquiring the total output curve of the hybrid pumping power storage station in a scheduling period.
And the mixed pumping power storage station multi-scene efficiency model building module is used for building an objective function for maximizing the total expected efficiency of the mixed power storage station according to the total output curve so as to build the mixed pumping power storage station multi-scene efficiency model.
And the interaction strategy and operation strategy determining module is used for respectively determining the interaction strategy and the operation strategy of the hybrid pumping and accumulating power station, the internal cascade hydropower station and the pumping and accumulating unit according to the multi-scene efficiency model of the hybrid pumping and accumulating station.
The day-ahead scene interaction model building module is used for building a day-ahead scene interaction model taking the social efficiency as a target function at maximum according to the multi-scene efficiency model, the interaction strategy and the operation strategy of the hybrid power extraction and storage station.
And the optimal capacity allocation combination determining module is used for constructing a Lagrange function based on the KKT theory according to the day-ahead scene interaction model and determining the optimal capacity allocation combination under multiple scenes of the hybrid pumping and accumulating power station based on a large M method and a binary expansion method.
An electronic device comprising a memory for storing a computer program and a processor that runs the computer program to cause the electronic device to perform the one hybrid pumping and accumulating station group capacity allocation method.
Optionally, the memory is a computer readable storage medium.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects: according to the method, the system and the electronic equipment for distributing the capacity of the hybrid pumping and accumulating power station group, provided by the invention, the interaction strategy and the operation strategy of the hybrid pumping and accumulating power station, the internal cascade hydropower and the pumping and accumulating unit are respectively determined according to the multi-scene efficiency model of the hybrid pumping and accumulating power station; and further, the water energy coupling, the adjusting capability and the difference of interaction strategies among all levels of power stations are comprehensively considered, so that the combined scheduling of the multi-level power stations is realized. Meanwhile, the cascade hydropower station and the pumping and accumulating unit are considered, compared with the hydropower station which operates in a single working mode, the cascade hydropower station and pumping and accumulating unit are more beneficial to promoting the optimal allocation of hydropower resources in two water supply modes of natural runoff and pumping, and the overall efficiency of the hydropower station is effectively improved; according to the multi-scene efficiency model, the interaction strategy and the operation strategy of the hybrid pumping power storage station, a day-ahead scene interaction model taking the maximum social efficiency as an objective function is established; the benefit means of the hybrid pumping and accumulating power station are enriched, and different signals are used for exciting the optimal allocation strategy of the hybrid pumping and accumulating power station, so that the reliability of profit is improved; when the problem of mixed integer nonlinearity caused by the joint scheduling of multiple power stations such as tight hydraulic power connection exists between an upstream power station and a downstream power station is solved, the KKT theory, the large M method and the binary expansion method are combined to determine capacity allocation combination under multiple scenes of the mixed pumping and accumulating power station, and the optimal solution is more accurate through mathematical deduction; and the thermal power output is reduced by adjusting the interaction strategy, so that the renewable energy consumption is promoted.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of a method for distributing capacity of a hybrid pumping and accumulating power station group provided by the invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention aims to provide a method, a system and electronic equipment for distributing capacity of a hybrid pumping and accumulating power station group, which can determine the optimal capacity distribution combination of the hybrid pumping and accumulating power station in multiple scenes, thereby improving the reliability and stability of a power system.
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description.
As shown in fig. 1, the method for allocating capacity of a hybrid pumping and accumulating station group provided by the present invention specifically includes S101 to S105.
S101, acquiring a total output curve of the hybrid pumping and accumulating power station in a scheduling period.
The multi-scene efficiency model of the hybrid pumping and accumulating power station is established, only one scene of the day ahead or the peak valley can be selected in a scheduling period (24 hours) based on the step hydropower station, only one scene of the day ahead or two systems can be selected at different moments by the pumping and accumulating unit, and the internal capacity distribution is carried out by taking the maximum efficiency of the hybrid pumping and accumulating power station under the multi-scene as an objective function.
S102, constructing an objective function for maximizing the total expected efficiency of the hybrid storage power station according to the total output curve, and further constructing a multi-scenario efficiency model of the hybrid pumping power station.
S102 specifically comprises the following steps: （1）。
(2)。
(3)。
(4)。
(5)。
wherein,、/>、/>、/>respectively represent +.>The mixed pumped storage power station is->Step hydropower peak-valley scene efficiency at moment, two-part scene efficiency of pumping and storage unit, mixed pumping and storage station participating in spot scene efficiency, pumping loss, < ->、/>Respectively->Moment step hydroelectric generating set peak-valley electricity price and corresponding +.>Hydroelectric power generation capacity of hybrid pumped storage power station, < ->、/>Respectively the capacity and electricity in two-part system sceneElectricity price, ->For the available installed capacity of the power station pumping and accumulating unit, < > for>Is->The mixed pumped storage power station is->Generating capacity of pumping and accumulating unit at moment->Is->The mixed pumped storage power station is->The current spot scene node marginal electricity price at the moment,is->The mixed pumped storage power station is->Time and scene->Generating capacity of the interaction section; />Is->Time->The mixed pumped storage power station is->The pumping power consumption of the interaction section, and max is the maximum value.
And S103, respectively determining an interaction strategy and an operation strategy of the hybrid pumping and accumulating power station, the internal cascade hydropower and the pumping and accumulating unit according to the multi-scene efficiency model (formula (4)).
The interaction strategy is as follows: (6)。
(7)。
(8)。
(9)。
and (3) the formula (6) -the formula (7) represent that the information of the scene of the hybrid pumped storage power station in the day before in the upper model reveals upper and lower limit constraints. Equation (8) -equation (9) limits the demand side segment information disclosure to a decreasing trend and the generation side segment information disclosure to an increasing trend. Wherein,for the ith hybrid pumped storage station +.>Information disclosure of interactive section pumping and mixed pumping, < ->And->The i-th hybrid pumped storage power station is +.>Information disclosure upper limit constraint and lower limit constraint of interactive section pumping mixed pumping, and +_in>For the ith hybrid pumped storage station +.>Information disclosure of interactive section water pumping hybrid power generation, < ->And->The i-th hybrid pumped storage power station is +.>Upper limit constraint and lower limit constraint of information disclosure of interactive section power generation, and the method is->For the ith hybrid pumped storage station +.>-1 information disclosure of interaction section pumping and mixing pumping, < ->For the ith hybrid pumped storage station +.>-1 information disclosure of interactive section water pumping hybrid power generation.
The operating strategy is: (10)。
(11)。
(12)。
(13)。
(14)。
(15)。
(16)。
(17)。
equation (10) represents a water balance constraint; equation (11) -equation (13) represents the reservoir capacity constraint of the step reservoir; equation (14) is a cascade plant flow propagation constraint; equation (15) -equation (17) represents reservoir flow constraints. Wherein,is->Reservoir real-time storage capacity of hybrid pumped storage power station at time t +>Is->Reservoir real-time storage capacity of hybrid pumped storage power station at t-1 moment>And->Respectively +.>The upper limit and the lower limit of the reservoir capacity of the mixed pumped storage power station,and->Respectively +.>A reservoir capacity control value of each hybrid pumped storage power station at the beginning of a scheduling period; />And->Respectively +.>Average warehouse-in and warehouse-out flow of each hybrid pumped storage power station; />And->Respectively represent +.>The water amount of the mixed pumped storage power station is increased from the lower level and is reduced due to the pumping of the upper level power station;and->Respectively represent +.>Generating flow of the hydroelectric unit and the pumping and accumulating unit of the hybrid pumped storage power station; />Is->The water discarding amount of the mixed pumped storage power station; />The flow correction coefficient is a step flow correction coefficient; />Indicate->-1 hybrid pumped storage power station ∈1->Time period delivery flow, < > on>Is the step flow propagation time; />Is->The mixed pumped storage power station is->Time interval flow; />、/>Respectively represent +.>The upper and lower limits of the delivery flow of the mixed pumped storage power station are +.>、/>Respectively represent +.>The upper and lower limits of the flow of the section of the mixed pumped storage power station.
Determining the relation between the water level and the reservoir capacity of the hybrid pumped storage power station according to an interaction strategy:
(18)。
(19)。
wherein,for the water level of the ith hybrid pumped-storage power station at time t, < >>And->The upper and lower limits of the water level of the ith mixed pumped storage power station are set; />Is a relation function between the water level and the reservoir capacity of the hybrid pumped storage power station.
When the unit is in a power generation state, the water-electricity conversion relation modes of the conventional water-electricity unit and the pumping and accumulating unit under different scenes are the same, and the water-electricity conversion relation can be expressed as a formula (20) by taking the generated energy of the water-electricity unit as an example.
(20)。
(21)。
(22)。
(23)。
(24)。
(25)。
(26)。
(27)。
(28)。
(29)。
(30)。
(31)。
The formulas (21) to (23) represent balance constraint of the hydropower unit, the pumping and accumulating unit and the total power generation of the hybrid pumping and accumulating station; equation (24) -equation (25) represents the power balance constraint of the current spot scene of the power station; equation (26) -equation (31) represents plant operating constraints. AndWherein K represents the output coefficient, 9.81 (kgm) 2 /s 2 )；、/>Respectively representing the efficiency of the hydroelectric generating set and the pumping and accumulating set; />Represents the water purifying head of the power station; ->、/>Hydropower and suction/storage respectively>Time->The mixed pumped storage power station is->The power of the interaction section; />、/>Respectively the upper limit and the lower limit of the total power generation power of the hybrid pumped storage power station; />、/>The upper and lower limits of the output of the hydroelectric generating set are set; />、/>The upper limit and the lower limit of the total output of the pumping and accumulating unit are set; />、/>The upper and lower limits of the output of the pumping and accumulating unit are set; />0-1 variable for limiting the condition that the mixed pumped storage power station unit cannot be simultaneously in pumping and generating conditions; />、/>And 0-1 variables for limiting the scene selection of the hydropower and the pumping and accumulating part respectively.
And S104, establishing a day-ahead scene interaction model taking the maximum social efficiency as an objective function according to the multi-scene efficiency model, the interaction strategy and the operation strategy of the hybrid pumping and accumulating power station.
The shortage of total income and power generation cost is the net surplus of the power generation side; the shortage of the total expense and electricity purchasing cost is the net surplus of the electricity utilization side. The sum of the net power generation-side residue and the net power utilization-side residue is social efficiency, and accordingly the future scene target is described as(32)。
(33)。
(34)。
(35)。
(36)。
(37)。
Equation (33) represents a node number relationship constraint; equation (34) represents a system power balancing constraint; equation (35) -equation (37) represents the line flow constraint. Wherein,、/>user +.>Thermal power plant->At->、/>Information disclosure of the interaction section; />、/>User +.>Thermal power plant->In the interactive section->、/>Is a power of (2); />、/>、、/>Respectively collecting nodes of a hybrid pumped storage power station, a user, a thermal power plant and a system; />For node->And->Inter-line admittance values,/->Is->Time node->Voltage phase of (2); />Is->Time node->Voltage phase of (2);for node->And->Upper limit of transmission of inter-line tide.
The operation constraint of the spot scene of the hybrid pumped storage power station is as follows:(38)。
(39)。
(40)。
(41)。
(42)。
(43)。
(44)。/>
(45)。
equation (38) -equation (41) represents the firstThe upper and lower power limits and the upper and lower total power limits of the hybrid pumped storage power station in different interaction sections are constrained. In (1) the->、/>、/>、/>Respectively is +.>The upper limit and the lower limit of the power consumption and the upper limit and the lower limit of the total power of the interaction section; />、/>、/>、The water power unit and the pumping and accumulating unit are respectively>Upper and lower limits of the interaction section output; equation (42) -equation (45) represents the power constraint and the total power constraint of the thermal power generating unit and the user in different interaction sections. In (1) the->、/>、/>、Respectively is a thermal power generating unit ∈ ->An upper and lower limit of the power of the interaction section and an upper and lower limit of the total power; />、/>、、/>Respectively user +.>The upper and lower limits of the power of the interaction section and the upper and lower limits of the total power.
The decision variables in the lower layer problems are the interactive settlement results of the future scenes, which comprise、/>While decision variables in the upper layer problem appear as parameters in the lower layer problem.
S105, constructing a Lagrange function based on the KKT theory according to the day-ahead scene interaction model, and determining the optimal capacity allocation combination under multiple scenes of the hybrid pumping and storage power station based on a large M method and a binary expansion method.
Deriving using the KKT theorem, constructing a lagrangian function of the underlying problem and biasing the variables as shown in equations (46) - (50): (46)。
(47)。
(48)。/>
(49)。
(50)。
wherein,、/>respectively is +.>The dual variables of the upper limit and the lower limit of the power consumption of the interaction section; />、/>Respectively is +.>The dual variables of the upper and lower limits of the total power of the interaction section; />、/>The water power unit and the pumping and accumulating unit are respectively>The upper and lower limits of the output of the interaction section are dual variables; />、/>The water power unit and the pumping and accumulating unit are respectively>The upper limit and the lower limit of the total output of the interaction section;、/>respectively is the interaction section of the thermal power generating unit>Power upper and lower limit dual variables; />、/>Respectively is the interaction section of the thermal power generating unit>The upper and lower limits of the total power are dual variables; />、/>The users are respectively in the interaction section->Power upper and lower limit dual variables; />、/>The users are respectively in the interaction section->The upper and lower limits of total power are dual variables.
According to the invention, a double-layer optimized dispatching model of the hybrid pumped storage power station is built according to a total output curve issued by dispatching, wherein the upper layer is set as a multi-scene efficiency model of the hybrid pumped storage power station, and the lower layer is an interactive model of the power station in an spot scene. Through the reformulation of the lower layer problem, the original double-layer model is converted into a single-layer model, the original lower layer problem is converted to be used as a constraint condition of the upper layer problem, two nonlinear terms of complementary relaxation constraint and decision variable product are linearized by using a large M method and a binary expansion method, and then the problem is solved to realize the optimal distribution of the capacity of the mixed pumping power storage station.
Corresponding to the method, the invention also provides a system for distributing the capacity of the hybrid pumping and accumulating power station group, which comprises the following steps: and the total output curve acquisition module is used for acquiring the total output curve of the hybrid pumping power storage station in a scheduling period.
And the mixed pumping power storage station multi-scene efficiency model building module is used for building an objective function for maximizing the total expected efficiency of the mixed power storage station according to the total output curve so as to build the mixed pumping power storage station multi-scene efficiency model.
And the interaction strategy and operation strategy determining module is used for respectively determining the interaction strategy and the operation strategy of the hybrid pumping and accumulating power station, the internal cascade hydropower station and the pumping and accumulating unit according to the multi-scene efficiency model of the hybrid pumping and accumulating station.
The day-ahead scene interaction model building module is used for building a day-ahead scene interaction model taking the social efficiency as a target function at maximum according to the multi-scene efficiency model, the interaction strategy and the operation strategy of the hybrid power extraction and storage station.
And the optimal capacity allocation combination determining module is used for constructing a Lagrange function based on the KKT theory according to the day-ahead scene interaction model and determining the optimal capacity allocation combination under multiple scenes of the hybrid pumping and accumulating power station based on a large M method and a binary expansion method.
In order to execute the method corresponding to the embodiment to achieve the corresponding functions and technical effects, the invention also provides an electronic device, which comprises a memory and a processor, wherein the memory is used for storing a computer program, and the processor runs the computer program to enable the electronic device to execute the method for distributing the capacity of the hybrid pumping and accumulating power station group.
The memory is a computer-readable storage medium.
Based on the above description, the technical solution of the present invention may be embodied in essence or a part contributing to the prior art or a part of the technical solution in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method of the embodiments of the present invention. And the aforementioned computer storage medium includes: various media capable of storing program codes, such as a U disk, a mobile hard disk, a read-only memory, a random access memory, a magnetic disk or an optical disk.
In the present specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, and identical and similar parts between the embodiments are all enough to refer to each other. For the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.
The principles and embodiments of the present invention have been described herein with reference to specific examples, the description of which is intended only to assist in understanding the methods of the present invention and the core ideas thereof; also, it is within the scope of the present invention to be modified by those of ordinary skill in the art in light of the present teachings. In view of the foregoing, this description should not be construed as limiting the invention.
Claims (7)
1. A method for capacity allocation of a hybrid pumping and accumulating power station group, comprising the steps of:
acquiring a total output curve of the hybrid pumping power storage station in a scheduling period;
constructing an objective function for maximizing the total expected efficiency of the hybrid storage power station according to the total output curve, and further constructing a multi-scenario efficiency model of the hybrid pumping power station;
respectively determining an interaction strategy and an operation strategy of the hybrid pumping and accumulating power station, the internal cascade hydropower and the pumping and accumulating unit according to the multi-scene efficiency model of the hybrid pumping and accumulating station;
according to the multi-scene efficiency model, the interaction strategy and the operation strategy of the hybrid pumping power storage station, a day-ahead scene interaction model taking the maximum social efficiency as an objective function is established;
according to a day-ahead scene interaction model, a Lagrange function is constructed based on the KKT theory, and an optimal capacity allocation combination under multiple scenes of the hybrid pumping and accumulating power station is determined based on a large M method and a binary expansion method.
2. The method for allocating capacity of a hybrid pumping and accumulating power station group according to claim 1, wherein the constructing an objective function for maximizing the total expected efficiency of the hybrid pumping and accumulating power station according to the total output curve, further constructing a multi-scenario efficiency model of the hybrid pumping and accumulating power station, specifically comprises:
；
；
；
；
；
wherein,、/>、/>、/>respectively represent +.>The mixed pumped storage power station is->Step hydropower peak-valley scene efficiency at moment, two-part scene efficiency of pumping and storage unit, mixed pumping and storage station participating in spot scene efficiency, pumping loss, < ->、/>Respectively->Moment step hydroelectric generating set peak-valley electricity price and corresponding +.>Hydroelectric power generation capacity of hybrid pumped storage power station, < ->、/>The capacity, the electric quantity and the electricity price in two-part system scenes are respectively +.>For the available installed capacity of the power station pumping and accumulating unit, < > for>Is->The mixed pumped storage power station is->Instant pumping and accumulating machineGroup power generation>Is->The mixed pumped storage power station is->Day-ahead spot scene node marginal electricity price of moment,/->Is->The mixed pumped storage power station is->Time and scene->Generating capacity of the interaction section; />Is->Time->The mixed pumped storage power station is->The pumping power consumption of the interaction section, and max is the maximum value.
3. The method for distributing capacity of a hybrid pumping and accumulating power station group according to claim 2, wherein the determining the interaction strategy and the operation strategy of the hybrid pumping and accumulating power station, the internal cascade hydropower and the pumping and accumulating unit according to the multi-scenario efficiency model of the hybrid pumping and accumulating station respectively specifically comprises:
the interaction strategy is as follows:
；/>；/>；/>the method comprises the steps of carrying out a first treatment on the surface of the Wherein (1)>Is->The mixed pumped storage power station is->Information disclosure of interactive section pumping and mixed pumping, < ->And->Respectively +.>The mixed pumped storage power station is->Information disclosure upper limit constraint and lower limit constraint of interactive section pumping mixed pumping, and +_in>Is->The mixed pumped storage power station is->The information disclosure of the interactive section pumping hybrid power generation,and->Respectively +.>The mixed pumped storage power station is->Upper limit constraint and lower limit constraint of information disclosure of interactive section power generation, and the method is->Is->The mixed pumped storage power station is->-1 information disclosure of interactive segment pumping hybrid pumping,is->The mixed pumped storage power station is->-1 information disclosure of interactive section water pumping hybrid power generation;
the operating strategy is:
；
；
；
；
；
；
；
；/>；
wherein,is->Reservoir real-time storage capacity of hybrid pumped storage power station at time t +>Is->Reservoir real-time storage capacity of hybrid pumped storage power station at t-1 moment>And->Respectively +.>The upper limit and the lower limit of the reservoir capacity of the mixed pumped storage power station are +.>And->Respectively +.>A reservoir capacity control value of each hybrid pumped storage power station at the beginning of a scheduling period; />And->Respectively +.>Average warehouse-in and warehouse-out flow of each hybrid pumped storage power station; />And->Respectively represent +.>The water amount of the mixed pumped storage power station is increased from the lower level and is reduced due to the pumping of the upper level power station; />And->Respectively represent +.>Generating flow of the hydroelectric unit and the pumping and accumulating unit of the hybrid pumped storage power station; />Is->The water discarding amount of the mixed pumped storage power station; />The flow correction coefficient is a step flow correction coefficient; />Represent the first-1 hybrid pumped storage power station ∈1->Time period delivery flow, < > on>Is the step flow propagation time; />Is->The mixed pumped storage power station is->Time interval flow; />、/>Respectively represent +.>The upper and lower limits of the delivery flow of the mixed pumped storage power station are +.>、/>Respectively represent +.>The upper and lower limits of the flow of the section of the mixed pumped storage power station.
4. The method for allocating capacity of a hybrid pumping and accumulating power station group according to claim 3, wherein the method for establishing a day-ahead scene interaction model with maximum social efficiency as an objective function according to the hybrid pumping and accumulating power station multi-scene efficiency model, the interaction strategy and the operation strategy specifically comprises the following steps:
；
；
；
；
；
；
wherein,、/>user +.>Thermal power plant->At->、/>Information disclosure of the interaction section; />、User +.>Thermal power plant->In the interaction section/>、/>Is a power of (2); />、/>、/>、/>Respectively collecting nodes of a hybrid pumped storage power station, a user, a thermal power plant and a system; />For node->And->The value of the inter-line admittance,is->Time node->Voltage phase of (2); />Is->Time node->Voltage phase of (2); />For node->And (3) withUpper limit of transmission of inter-line tide.
5. A hybrid electric pumping and storage plant group capacity distribution system, comprising:
the total output curve acquisition module is used for acquiring the total output curve of the hybrid pumping power storage station in a scheduling period;
the mixed pumping power storage station multi-scene efficiency model building module is used for building an objective function for maximizing the total expected efficiency of the mixed power storage station according to the total output curve so as to build a mixed pumping power storage station multi-scene efficiency model;
the interaction strategy and operation strategy determining module is used for respectively determining an interaction strategy and an operation strategy of the hybrid pumping and accumulating power station, the internal cascade hydropower station and the pumping and accumulating unit according to the multi-scene efficiency model of the hybrid pumping and accumulating station;
the day-ahead scene interaction model building module is used for building a day-ahead scene interaction model taking the maximum social efficiency as an objective function according to the multi-scene efficiency model, the interaction strategy and the operation strategy of the hybrid power extraction and storage station;
and the optimal capacity allocation combination determining module is used for constructing a Lagrange function based on the KKT theory according to the day-ahead scene interaction model and determining the optimal capacity allocation combination under multiple scenes of the hybrid pumping and accumulating power station based on a large M method and a binary expansion method.
6. An electronic device comprising a memory for storing a computer program and a processor that runs the computer program to cause the electronic device to perform a hybrid pumping and accumulating power plant group capacity allocation method according to any one of claims 1 to 4.
7. The electronic device of claim 6, wherein the memory is a computer readable storage medium.
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