Method and device for participating in electricity market bidding through combination of wind and light pumping and storage

Abstract

The invention relates to the technical field of power markets, and discloses a method and a device for participating in bidding in a power market through combination of wind and light pumping and storage, and the method comprises the steps: building an income model of a wind and light power station participating in double markets based on the conditional risk value of the wind and light power station in an electric energy market and a frequency modulation market and the expected income of the wind and light power station participating in the double markets; based on the income of the pumped storage power station participating in the double markets and the conditional risk value of the pumped storage power station in the electric energy market and the frequency modulation market, establishing an income model of the pumped storage power station participating in the double markets; based on the income model of the wind-light power station participating in the double markets and the income model of the pumped storage power station participating in the double markets, establishing an income model of the wind-light pumped storage power station jointly participating in the double markets; and solving the income model of the wind and light pumped storage power station joint participation double markets to obtain the optimal bidding power of the wind and light pumped storage power station. According to the method, the income risk loss of the wind and light pumped storage power station caused by uncertain factors can be quantified, and the optimal configuration of the bidding power of the wind and light pumped storage power station is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of power market, and in particular to a method and device for wind, solar and pumped-storage combined participation in power market bidding. Background Art

[0002] Wind and solar combined power generation stations can not only participate in the electricity spot market, but also in the ancillary services market. In addition, the volatility of wind and solar power has led to an increase in the demand for grid frequency regulation. For the adverse effects of large-scale wind power and photovoltaic grid connection on the real-time balance of electricity and system stability, pumped storage can quickly track and adapt to frequency adjustment needs, playing a role in smoothing the output of new energy and ensuring the stability of the grid.

[0003] However, due to the complex and changing market environment, pumped storage is easily affected by various uncertain factors, resulting in unreasonable allocation of wind, solar and pumped storage resources, and cannot guarantee the stable operation of the power grid. Summary of the Invention

[0004] In view of this, the present invention provides a method and device for wind, solar and pumped storage to jointly participate in electricity market bidding, so as to solve the problem that pumped storage is easily affected by multiple uncertain factors, resulting in unreasonable allocation of wind, solar and pumped storage resources.

[0005] In a first aspect, the present invention provides a method for wind, solar, and pumped-storage combined participation in power market bidding, the method comprising:

[0006] Obtain the conditional risk value of wind and solar power stations in the electric energy market and frequency regulation market, and the expected returns of wind and solar power stations participating in the dual markets;

[0007] Based on the conditional risk value of wind and solar power stations in the electric energy market and the frequency regulation market and the expected benefits of wind and solar power stations participating in the dual market, a profit model for wind and solar power stations participating in the dual market is established.

[0008] Obtain the conditional risk value of the pumped storage power station in the electricity market and frequency regulation market, the benefits of the pumped storage power station participating in the electricity market, and the benefits of the pumped storage power station participating in the frequency regulation market;

[0009] A profit model for pumped storage power stations participating in dual markets is established based on the profits of pumped storage power stations participating in the electricity market, the profits of pumped storage power stations participating in the frequency regulation market, and the conditional risk value of pumped storage power stations in the electricity market and the frequency regulation market.

[0010] Based on the revenue model of wind and solar power stations participating in the dual market and the revenue model of pumped storage power stations participating in the dual market, a revenue model for wind, solar and pumped storage power stations jointly participating in the dual market is established;

[0011] The profit model of wind, solar and pumped-storage power stations jointly participating in the dual market is solved, and the optimal bidding power of wind, solar and pumped-storage power stations is obtained.

[0012] This embodiment provides a method for wind, solar and pumped-storage power stations to jointly participate in electricity market bidding. The method obtains the conditional risk value of wind, solar and pumped-storage power stations in the electric energy market and the frequency regulation market, and constructs a profit model for wind and solar power stations participating in the dual markets, and a profit model for pumped-storage power stations participating in the dual markets according to the conditional risk value of wind, solar and pumped-storage power stations in the electric energy market and the frequency regulation market, and then constructs a profit model for wind, solar and pumped-storage power stations to jointly participate in the dual markets. The construction process of the profit model for wind, solar and pumped-storage power stations to jointly participate in the dual markets takes conditional risk value into account, and can quantify the profit risk loss brought to wind-solar-pumped-storage stations by uncertain factors such as market and output, effectively reducing the probability of low profits, realizing the optimal configuration of the bidding power of wind, solar and pumped-storage power stations, and ensuring the stable operation of the power grid.

[0013] In an optional embodiment, obtaining the conditional risk value of the wind and solar power station in the electric energy market and the frequency regulation market and the expected benefits of the wind and solar power station participating in the dual markets includes:

[0014] Obtain the revenue of wind and solar power station groups participating in the electricity market, the real-time output of wind and solar power stations, the electricity market bid power of wind and solar power stations, and the frequency regulation market bid power of wind and solar power stations;

[0015] The conditional risk value of wind and solar power stations in the electricity market is calculated based on the income of wind and solar power station groups participating in the electricity market, the real-time output of wind and solar power stations, the electricity market bid power of wind and solar power stations, the frequency regulation market bid power of wind and solar power stations, and the wind and solar power probability density prediction function;

[0016] Obtain comprehensive frequency regulation performance indicators, and calculate the conditional value at risk of wind and solar power stations in the frequency regulation market based on the comprehensive frequency regulation performance indicators, the benefits of wind and solar power station groups participating in the electric energy market, the real-time output of wind and solar power stations, the bid power of wind and solar power stations in the electric energy market, the bid power of wind and solar power stations in the frequency regulation market, and the wind and solar power probability density prediction function;

[0017] The expected revenue of wind and solar power stations participating in the dual market is determined using the wind and solar power probability density prediction function.

[0018] This embodiment provides a method for the joint participation of wind, solar and pumped-storage in electricity market bidding. By calculating the conditional risk value of wind and solar power stations in the frequency regulation market and the conditional risk value of wind and solar power stations in the electric energy market, it quantifies the risk loss of income brought to wind and solar power stations by uncertain factors, laying a foundation for optimizing the bidding power of wind and solar power stations participating in the dual markets; and, using the wind and solar power probability density prediction function to determine the expected income of wind and solar power stations participating in the dual markets, the income model of wind and solar power stations participating in the dual markets comprehensively considers the conditional risk value of wind and solar power stations in the dual markets and the expected income of wind and solar power stations participating in the dual markets, thereby achieving maximum market income.

[0019] In an optional embodiment, obtaining the conditional risk value of the pumped storage power station in the electric energy market and the frequency regulation market, the income of the pumped storage power station participating in the electric energy market, and the income of the pumped storage power station participating in the frequency regulation market includes:

[0020] Obtain the benefits of pumped storage power stations participating in the electricity market, the real-time output of the pumped storage power stations, the bid power of the pumped storage power stations in the electricity market, the bid power of the pumped storage power stations in the frequency regulation market, and the probability density prediction function of the pumped storage power;

[0021] The conditional value at risk of a pumped storage power station in the electricity market is calculated based on the benefits of the pumped storage power station participating in the electricity market, the real-time output of the pumped storage power station, the bid power of the pumped storage power station in the electricity market, the bid power of the pumped storage power station in the frequency regulation market, and the probability density prediction function of the pumped storage power.

[0022] The conditional value at risk of a pumped-storage power station in the frequency regulation market is calculated based on comprehensive frequency regulation performance indicators, the benefits of the pumped-storage power station participating in the electricity market, the real-time output of the pumped-storage power station, the bid power of the pumped-storage power station in the electricity market, the bid power of the pumped-storage power station in the frequency regulation market, and the probability density prediction function of the pumped-storage power.

[0023] The operating parameters of the pumped-storage power station and multiple electricity price scenarios are obtained, and based on the operating parameters of the pumped-storage power station and the multiple electricity price scenarios, the revenue of the pumped-storage power station participating in the electricity energy market and the revenue of the pumped-storage power station participating in the frequency regulation market are calculated respectively.

[0024] This embodiment provides a method for the joint participation of wind, solar and pumped-storage in electricity market bidding. By calculating the conditional risk value of the pumped-storage power station in the frequency regulation market and the conditional risk value of the pumped-storage power station in the electric energy market, it quantifies the profit risk loss brought to the pumped-storage power station by uncertain factors, laying the foundation for optimizing the bidding power of the pumped-storage power station participating in the dual markets; and, by calculating the profit of the pumped-storage power station participating in the electric energy market and the profit of the pumped-storage power station participating in the frequency regulation market, the profit model of the pumped-storage power station participating in the dual markets comprehensively considers the conditional risk value and the profit of the pumped-storage power station participating in the dual markets, thereby maximizing market profit.

[0025] In an optional embodiment, obtaining operating parameters of a pumped-storage power station and multiple electricity price scenarios, and calculating, based on the operating parameters of the pumped-storage power station and the multiple electricity price scenarios, the benefits of the pumped-storage power station participating in the electric energy market and the benefits of the pumped-storage power station participating in the frequency regulation market, respectively, include:

[0026] Obtaining pumped storage power generation, pumped storage pumping power, probability of occurrence of electricity price scenarios, and electricity market prices corresponding to each electricity price scenario; and calculating the benefits of the pumped storage power station participating in the electricity market based on the pumped storage power generation, pumped storage pumping power, probability of occurrence of electricity price scenarios, and electricity market prices corresponding to each electricity price scenario;

[0027] The frequency regulation market capacity electricity price, frequency regulation mileage-clearing electricity price and electric energy market electricity price corresponding to each electricity price scenario, as well as the frequency regulation capacity of the pumped-storage power station, the capacity conversion coefficient of pumped power, and the ratio of frequency regulation mileage to frequency regulation capacity are obtained. Based on the probability of occurrence of the electricity price scenario, the frequency regulation market capacity electricity price, the frequency regulation mileage-clearing electricity price, the electric energy market electricity price, the frequency regulation capacity of the pumped-storage power station, the capacity conversion coefficient of pumped power, and the ratio of frequency regulation mileage to frequency regulation capacity, the benefits of the pumped-storage power station participating in the frequency regulation market are calculated.

[0028] This embodiment provides a method for the joint participation of wind, solar, and pumped-storage in electricity market bidding. By using market electricity prices under different electricity price scenarios and the operating data of pumped-storage power stations, it achieves accurate calculation of the benefits of pumped-storage power stations participating in the dual markets, laying the foundation for the subsequent establishment of a profit model for pumped-storage power stations participating in the dual markets.

[0029] In an optional embodiment, a revenue model for wind, solar and pumped-storage power stations to jointly participate in the dual market is established based on the revenue model for wind and solar power stations to participate in the dual market and the revenue model for pumped-storage power stations to participate in the dual market; wherein the revenue model for wind, solar and pumped-storage power stations to jointly participate in the dual market is expressed as follows:

[0030]

[0031] in, represents the expected benefits of wind and solar power stations participating in the dual market, represents the bidding power of the wind and solar power stations in the node energy market, represents the bidding power of the wind and solar power stations in the frequency regulation market, δ1, δ2, δ3 and δ4 represent weight coefficients, and CVaR WP,e Represents the conditional value at risk of wind power plants in the electricity market, CVaR WP,r represents the conditional risk value of wind power stations in the frequency regulation market, R PS,e represents the income of pumped storage power station participating in the electricity market, R PS,r Represents the benefits of pumped storage power stations participating in the frequency regulation market, CVaR PS It represents the conditional risk value of pumped storage power stations in the electric energy market and frequency regulation market.

[0032] In an optional embodiment, solving a revenue model for wind, solar and pumped-storage power stations jointly participating in a dual market to obtain the optimal bid power of the wind, solar and pumped-storage power stations includes:

[0033] The ant colony algorithm is used to solve the profit model of wind, solar and pumped-storage power stations jointly participating in the dual market, and the optimal bidding power of wind, solar and pumped-storage power stations is obtained.

[0034] In a second aspect, the present invention provides a device for jointly participating in power market bidding with wind, solar and pumped storage, the device comprising:

[0035] The first acquisition module is used to obtain the conditional risk value of the wind and solar power station in the electric energy market and the frequency regulation market and the expected benefits of the wind and solar power station participating in the dual markets;

[0036] The first establishment module is used to establish a profit model for wind and solar power stations participating in the dual market based on the conditional risk value of wind and solar power stations in the electric energy market and the frequency regulation market and the expected profit of wind and solar power stations participating in the dual market;

[0037] The second acquisition module is used to obtain the conditional risk value of the pumped storage power station in the electric energy market and the frequency regulation market, the benefits of the pumped storage power station participating in the electric energy market, and the benefits of the pumped storage power station participating in the frequency regulation market;

[0038] The second establishment module is used to establish a profit model for the pumped storage power station participating in the dual market based on the profit of the pumped storage power station participating in the electric energy market, the profit of the pumped storage power station participating in the frequency regulation market, and the conditional risk value of the pumped storage power station in the electric energy market and the frequency regulation market;

[0039] The third establishment module is used to establish a revenue model for wind, solar and pumped storage power stations to jointly participate in the dual market based on the revenue model of wind and solar power stations participating in the dual market and the revenue model of pumped storage power stations participating in the dual market;

[0040] The solution module is used to solve the profit model of wind, solar and pumped-storage power stations jointly participating in the dual market and obtain the optimal bid power of wind, solar and pumped-storage power stations.

[0041] In a third aspect, the present invention provides a computer device comprising: a memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing computer instructions, and the processor executing the computer instructions to execute the method for wind, solar and pumped storage to jointly participate in electricity market bidding according to the first aspect or any corresponding embodiment thereof.

[0042] In a fourth aspect, the present invention provides a computer-readable storage medium having computer instructions stored thereon, and the computer instructions are used to enable a computer to execute the method for wind, solar, pumped-storage and joint participation in electricity market bidding according to the first aspect or any corresponding embodiment thereof.

[0043] In a fifth aspect, the present invention provides a computer program product comprising computer instructions, the computer instructions being used to enable a computer to execute the method for wind, solar, pumped-storage and joint participation in electricity market bidding according to the first aspect or any corresponding embodiment thereof. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the specific embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0045] Figure 1 This is a flow chart of a method for wind, solar, and pumped-storage to jointly participate in power market bidding according to an embodiment of the present invention;

[0046] Figure 2 This is a flow chart of another method for wind, solar, and pumped-storage to jointly participate in power market bidding according to an embodiment of the present invention;

[0047] Figure 3 This is a flow chart of another method for wind, solar and pumped-storage combined participation in power market bidding according to an embodiment of the present invention;

[0048] Figure 4 1 is a flow chart of another method for wind, solar and pumped storage to jointly participate in power market bidding according to an embodiment of the present invention;

[0049] Figure 5 This is a structural block diagram of a device for wind, solar, and pumped-storage combined participation in power market bidding according to an embodiment of the present invention;

[0050] Figure 6 Schematic diagram of the hardware structure of a computer device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0051] To make the purpose, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative efforts shall fall within the scope of protection of the present invention.

[0052] Due to the late start and relative immaturity of the electricity market, the trading mechanism for wind and solar power stations to participate in the electricity market and provide frequency regulation services is still imperfect, and there is little research on the multi-market trading mechanism and related profit models for wind and solar power stations to participate in. Pumped storage can effectively improve the adverse effects of frequency fluctuations of wind and solar power stations; in addition, there are still many deficiencies in the research on the market-oriented operation strategy of pumped storage power stations participating in multiple application scenarios. The market value of pumped storage has not yet been fully quantified, and further research is needed on details such as the market-oriented trading strategy for pumped storage power stations.

[0053] Therefore, it is necessary to further construct a multi-market interaction model of the wind-solar-pumped storage combined station, fully study the resource allocation and optimal trading strategies of wind power, photovoltaic power, and pumped storage renewable energy in a complex and changing market environment, and give full play to their comprehensive benefits.

[0054] In order to solve the above technical problems, an embodiment of the present invention provides a method for wind, solar and pumped storage to jointly participate in the electricity market bidding. By considering the bidding strategy of wind, solar and pumped storage to jointly participate in the electric energy market and the frequency regulation auxiliary service market based on the conditional risk value, the profit risk loss brought to the wind, solar and pumped storage stations by uncertain factors such as the market and output is quantified, and the probability of low returns is effectively reduced.

[0055] An embodiment of the present invention provides a method for wind, solar and pumped storage to jointly participate in electricity market bidding. It should be noted that the execution subject of the method for wind, solar and pumped storage to jointly participate in electricity market bidding provided by the embodiment of the present invention can be a wind, solar and pumped storage to jointly participate in electricity market bidding device. The wind, solar and pumped storage to jointly participate in electricity market bidding device can be realized as part or all of an electronic device through software, hardware or a combination of software and hardware, wherein the electronic device can be a server or a terminal, wherein the server in the embodiment of the present application can be a single server or a server cluster composed of multiple servers, and the terminal in the embodiment of the present application can be a smart phone, a personal computer, a tablet computer, a wearable device, an intelligent robot and other intelligent hardware devices. In the following method embodiments, the execution subject is an electronic device as an example for explanation.

[0056] According to an embodiment of the present invention, an embodiment of a method for wind, solar, pumped-storage and combined participation in electricity market bidding is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0057] In this embodiment, a method for wind, solar, and pumped storage to jointly participate in power market bidding is provided, which can be used for the above-mentioned electronic equipment. Figure 1 Flowchart of a method for wind, solar and pumped storage to jointly participate in power market bidding according to an embodiment of the present invention. Figure 1 As shown, the process includes the following steps:

[0058] Step S101: Obtain the conditional risk value of the wind and solar power station in the electric energy market and the frequency regulation market and the expected benefits of the wind and solar power station participating in the dual markets.

[0059] Specifically, the dual market includes the electric energy market and the frequency regulation market.

[0060] Step S102 : establishing a profit model for the wind and solar power station participating in the dual market based on the conditional risk value of the wind and solar power station in the electric energy market and the frequency regulation market and the expected profit of the wind and solar power station participating in the dual market.

[0061] Step S103, obtaining the conditional risk value of the pumped storage power station in the electric energy market and the frequency regulation market, the income of the pumped storage power station participating in the electric energy market, and the income of the pumped storage power station participating in the frequency regulation market.

[0062] Step S104: establishing a profit model for the pumped-storage power station participating in the dual market based on the profit of the pumped-storage power station participating in the electric energy market, the profit of the pumped-storage power station participating in the frequency regulation market, and the conditional risk value of the pumped-storage power station in the electric energy market and the frequency regulation market.

[0063] Step S105 , establishing a revenue model for wind-solar-pumped-storage power stations to jointly participate in the dual market based on the revenue model for wind-solar-pumped-storage power stations to participate in the dual market and the revenue model for pumped-storage power stations to participate in the dual market.

[0064] Specifically, the revenue model of wind, solar and pumped storage power stations jointly participating in the dual market is expressed as follows:

[0065]

[0066] in, represents the expected benefits of wind and solar power stations participating in the dual market, represents the bidding power of the wind and solar power stations in the node energy market, represents the bidding power of the wind and solar power stations in the frequency regulation market, δ1, δ2, δ3 and δ4 represent weight coefficients, and CVaR WP,e Represents the conditional value at risk of wind power plants in the electricity market, CVaR WP,r represents the conditional risk value of wind power stations in the frequency regulation market, R PS,e represents the income of pumped storage power station participating in the electricity market, R PS,r Represents the benefits of pumped storage power stations participating in the frequency regulation market, CVaR PS It represents the conditional risk value of pumped storage power stations in the electric energy market and frequency regulation market.

[0067] Step S106 , solving the profit model of the wind, solar and pumped-storage power stations jointly participating in the dual market, and obtaining the optimal bid power of the wind, solar and pumped-storage power stations.

[0068] Specifically, the ant colony algorithm is used to solve the profit model of wind, solar and pumped-storage power stations jointly participating in the dual market, and the optimal bidding power of wind, solar and pumped-storage power stations is obtained.

[0069] Furthermore, the ant colony algorithm is used to solve the model, taking the maximum benefit of wind-solar-pumped storage station participating in the dual market as the objective function, and optimizing and other parameters, thereby obtaining the optimal bidding power of wind and solar power station groups and pumped storage power stations participating in the dual market.

[0070] This embodiment provides a method for wind, solar and pumped-storage power stations to jointly participate in electricity market bidding. The method obtains the conditional risk value of wind, solar and pumped-storage power stations in the electric energy market and the frequency regulation market, and constructs a profit model for wind and solar power stations participating in the dual markets, and a profit model for pumped-storage power stations participating in the dual markets according to the conditional risk value of wind, solar and pumped-storage power stations in the electric energy market and the frequency regulation market, and then constructs a profit model for wind, solar and pumped-storage power stations to jointly participate in the dual markets. The construction process of the profit model for wind, solar and pumped-storage power stations to jointly participate in the dual markets takes conditional risk value into account, and can quantify the profit risk loss brought to wind-solar-pumped-storage stations by uncertain factors such as market and output, effectively reducing the probability of low profits, realizing the optimal configuration of the bidding power of wind, solar and pumped-storage power stations, and ensuring the stable operation of the power grid.

[0071] In this embodiment, a method for wind, solar, and pumped storage to jointly participate in power market bidding is provided, which can be used for the above-mentioned electronic equipment. Figure 2 Flowchart of a method for wind, solar and pumped storage to jointly participate in power market bidding according to an embodiment of the present invention. Figure 2 As shown, the process includes the following steps:

[0072] Step S201: Obtain the conditional risk value of the wind and solar power station in the electric energy market and the frequency regulation market and the expected benefits of the wind and solar power station participating in the dual markets.

[0073] Specifically, the above step S201 includes:

[0074] Step S2011, obtaining the income of the wind and solar power station group participating in the electric energy market, the real-time output of the wind and solar power stations, the electric energy market bid power of the wind and solar power stations, and the frequency regulation market bid power of the wind and solar power stations.

[0075] Step S2012, calculates the conditional risk value of the wind and solar power stations in the electric energy market based on the income of the wind and solar power station group participating in the electric energy market, the real-time output of the wind and solar power stations, the electric energy market bid power of the wind and solar power stations, the frequency regulation market bid power of the wind and solar power stations and the wind and solar power probability density prediction function.

[0076] Specifically, the conditional value at risk (CVaR) of wind power plants in the electricity market WP,e According to the definition, CVaR represents the conditional expectation value when the loss exceeds the risk value at a certain confidence level. Its expression is as follows:

[0077]

[0078] In the above formula, CVaR WP,e is the risk loss of wind and solar power stations participating in the electricity market, that is, the conditional risk value of wind and solar power stations in the electricity market, α is a given confidence level, R WP is the income of wind and solar power station groups participating in the electricity market, P v,t is the real-time output of the wind and solar power station at node v, f(P v,t ) is the wind and solar power probability density prediction function at time t the next day, The bid power of the wind and solar power station at node v is is the bid power of the wind and solar power station at node v in the frequency regulation market, ζ is f(P v,t ), It is the VaR of wind and solar power stations.

[0079] Among them, the income of wind and solar power station groups participating in the electricity energy market is R WP The calculation formula is as follows:

[0080]

[0081] In the above formula, is the node set of wind and solar power stations, R v S,da is the income of the wind and solar power station at node v participating in the electric energy market.

[0082] Wind and solar power station risk value It can be expressed as:

[0083]

[0084] In the above formula, R represents the total revenue of wind and solar power stations participating in the electricity market.

[0085] Step S2013, obtain the comprehensive frequency regulation performance index, and calculate the conditional risk value of the wind and solar power station in the frequency regulation market based on the comprehensive frequency regulation performance index, the income of the wind and solar power station group participating in the electric energy market, the real-time output of the wind and solar power station, the electric energy market bid power of the wind and solar power station, the frequency regulation market bid power of the wind and solar power station and the wind and solar power probability density prediction function.

[0086] Specifically, in the frequency regulation auxiliary service market (i.e., the frequency regulation market), the comprehensive frequency regulation performance index is composed of regulation rate, response time, and regulation accuracy. The comprehensive frequency regulation performance index K of a single power station is i The expression is as follows:

[0087]

[0088] In the above formula, v i is the measured rate of the i-th wind and solar power station, is the average standard regulation rate of wind and solar power stations in the frequency regulation resource distribution area (pu), t i is the response delay time of the i-th wind and solar power station, e i is the adjustment error of the wind and solar power station, e a is the allowable error of the wind and solar power station, which is generally 1.5% of its rated output, and n is the number of wind and solar power stations.

[0089] Furthermore, the conditional value at risk (CVaR) of wind power plants in the frequency regulation market WP,r The calculation formula is as follows:

[0090]

[0091] Step S2014: using the wind-solar power probability density prediction function to determine the expected revenue of the wind-solar power station participating in the dual market.

[0092] Specifically, based on the probability density prediction results of wind and solar power, the expected profit model of wind and solar power stations participating in the dual market is expressed as follows:

[0093]

[0094] In the above formula, P v,y,max is the predicted maximum value of wind and solar power at time t.

[0095] Step S202 : establishing a profit model for the wind and solar power station participating in the dual market based on the conditional risk value of the wind and solar power station in the electric energy market and the frequency regulation market and the expected profit of the wind and solar power station participating in the dual market.

[0096] Specifically, with the goal of maximizing market revenue, the objective function of the revenue model for wind and solar power stations participating in the dual market is constructed. The expression of this objective function is as follows:

[0097]

[0098] In the above formula, δ1 and δ2 are CVaR WP,e and CVaR WP,r The weight coefficient is required to be ≥0.

[0099] Furthermore, the constraints in the profit model of wind and solar power stations participating in the dual market are as follows:

[0100]

[0101] Step S203: Obtain the conditional risk value of the pumped storage power station in the electric energy market and the frequency regulation market, the benefits of the pumped storage power station participating in the electric energy market, and the benefits of the pumped storage power station participating in the frequency regulation market. Figure 1 Step S103 of the illustrated embodiment will not be described in detail here.

[0102] Step S204: Based on the revenue of the pumped storage power station participating in the electric energy market, the revenue of the pumped storage power station participating in the frequency regulation market, and the conditional risk value of the pumped storage power station in the electric energy market and the frequency regulation market, a revenue model for the pumped storage power station participating in the dual market is established. Figure 1 Step S104 of the illustrated embodiment will not be described in detail here.

[0103] Step S205: Based on the profit model of wind and solar power stations participating in the dual market and the profit model of pumped storage power stations participating in the dual market, a profit model of wind, solar and pumped storage power stations participating in the dual market is established. Figure 1 Step S105 of the illustrated embodiment will not be described in detail here.

[0104] Step S206: Solve the profit model of wind, solar and pumped storage power stations participating in the dual market to obtain the optimal bid power of wind, solar and pumped storage power stations. Figure 1 Step S106 of the illustrated embodiment will not be described in detail here.

[0105] This embodiment provides a method for the joint participation of wind, solar and pumped-storage in electricity market bidding. By calculating the conditional risk value of wind and solar power stations in the frequency regulation market and the conditional risk value of wind and solar power stations in the electric energy market, it quantifies the risk loss of income brought to wind and solar power stations by uncertain factors, laying a foundation for optimizing the bidding power of wind and solar power stations participating in the dual markets; and, using the wind and solar power probability density prediction function to determine the expected income of wind and solar power stations participating in the dual markets, the income model of wind and solar power stations participating in the dual markets comprehensively considers the conditional risk value of wind and solar power stations in the dual markets and the expected income of wind and solar power stations participating in the dual markets, thereby achieving maximum market income.

[0106] In this embodiment, a method for wind, solar, and pumped storage to jointly participate in power market bidding is provided, which can be used for the above-mentioned electronic equipment. Figure 3 Flowchart of a method for wind, solar and pumped storage to jointly participate in power market bidding according to an embodiment of the present invention. Figure 3 As shown, the process includes the following steps:

[0107] Step S301: Obtain the conditional risk value of the wind and solar power station in the electric energy market and the frequency regulation market and the expected benefits of the wind and solar power station participating in the dual market. Figure 2 Step S201 of the illustrated embodiment will not be described in detail here.

[0108] Step S302: Based on the conditional risk value of the wind and solar power station in the electric energy market and the frequency regulation market and the expected benefits of the wind and solar power station participating in the dual market, a profit model for the wind and solar power station participating in the dual market is established. Figure 2 Step S202 of the illustrated embodiment will not be described in detail here.

[0109] Step S303, obtaining the conditional risk value of the pumped storage power station in the electric energy market and the frequency regulation market, the income of the pumped storage power station participating in the electric energy market, and the income of the pumped storage power station participating in the frequency regulation market.

[0110] Specifically, the above step S303 includes:

[0111] Step S3031, obtaining the income of the pumped storage power station participating in the electric energy market, the real-time output of the pumped storage power station, the electric energy market bid power of the pumped storage power station, the frequency regulation market bid power of the pumped storage power station and the pumped storage power probability density prediction function.

[0112] Step S3032, calculates the conditional risk value of the pumped-storage power station in the electric energy market based on the income of the pumped-storage power station participating in the electric energy market, the real-time output of the pumped-storage power station, the electric energy market bid power of the pumped-storage power station, the frequency regulation market bid power of the pumped-storage power station and the pumped storage power probability density prediction function.

[0113] Specifically, the conditional value at risk (CVaR) of a pumped storage power station in the electricity market PS,e The calculation formula is as follows:

[0114]

[0115] In the above formula, CVaR PS,e is the risk loss of the pumped storage power station participating in the electricity market, that is, the conditional risk value of the pumped storage power station in the electricity market, R PS is the income of the pumped storage power station participating in the electricity market, P t is the real-time output of the pumped storage power station, f(P t ) is the probability density prediction function of pumped storage power at time t the next day, Bidding power for the electrical energy market of pumped storage power plants; is the bid power of the pumped storage power station in the frequency regulation auxiliary service market, ζ is f(P t ), It is the value at risk VaR of pumped storage power station.

[0116] The expression of risk value of pumped storage power station is as follows:

[0117]

[0118] Step S3033, calculate the conditional risk value of the pumped-storage power station in the frequency regulation market based on the comprehensive frequency regulation performance index, the income of the pumped-storage power station participating in the electric energy market, the real-time output of the pumped-storage power station, the electric energy market bid power of the pumped-storage power station, the frequency regulation market bid power of the pumped-storage power station and the pumped storage power probability density prediction function.

[0119] Specifically, the conditional value at risk (CVaR) of pumped storage power stations in the frequency regulation market PS,r The calculation formula is as follows:

[0120]

[0121] Furthermore, after discretizing and unifying the above formulas (15) and (17), we can get the conditional value at risk CVaR of the dual market of pumped storage power stations: PS , whose expression is as follows:

[0122]

[0123] In the above formula, N is the electricity price scenario set, π i is the probability of occurrence of electricity price scenario i, σ i is the actual revenue R under electricity price scenario i PS The difference with VaR.

[0124] Step S3034, obtaining the operating parameters of the pumped-storage power station and multiple electricity price scenarios, and calculating the benefits of the pumped-storage power station participating in the electricity energy market and the benefits of the pumped-storage power station participating in the frequency regulation market based on the operating parameters of the pumped-storage power station and the multiple electricity price scenarios.

[0125] In some optional implementations, the above step S3034 includes:

[0126] Step a1, obtain the pumped storage power generation power, pumped storage pumping power, the probability of occurrence of electricity price scenarios and the electricity market price corresponding to each electricity price scenario, and calculate the benefits of the pumped storage power station participating in the electricity market based on the pumped storage power generation power, pumped storage pumping power, the probability of occurrence of electricity price scenarios and the electricity market price corresponding to each electricity price scenario.

[0127] Specifically, the revenue of pumped storage power station participating in the electricity market is R PS,e The calculation formula is as follows:

[0128]

[0129] In the above formula, P t,dis is the pumped storage power generation power in period t, P t,ch is the pumped storage pumping power at time t, λ i,t,e is the electricity market price in period t under scenario i.

[0130] Step a2: Obtain the frequency regulation market capacity electricity price, frequency regulation mileage clearing electricity price, and electric energy market electricity price corresponding to each electricity price scenario, as well as the frequency regulation capacity of the pumped-storage power station, the capacity conversion coefficient of pumped power, and the ratio of frequency regulation mileage to frequency regulation capacity. Calculate the benefits of the pumped-storage power station participating in the frequency regulation market based on the probability of occurrence of the electricity price scenario, the frequency regulation market capacity electricity price, the frequency regulation mileage clearing electricity price, the electric energy market electricity price, the frequency regulation capacity of the pumped-storage power station, the capacity conversion coefficient of pumped power, and the ratio of frequency regulation mileage to frequency regulation capacity.

[0131] Specifically, the revenue of pumped storage power station participating in frequency regulation market is R PS,r The calculation formula is as follows:

[0132]

[0133] In the above formula, P t,r+ 、P t,r- is the up and down frequency regulation capacity of pumped storage in period t, λ i,r is the capacity price of frequency regulation auxiliary service market in electricity price scenario i, λ i,t,r is the frequency regulation mileage clearing price in the electricity price scenario i in the tth period, k r is the ratio of frequency modulation mileage to frequency modulation capacity, λ i,t,e is the electricity market price of electricity price scenario i in period t, k c To calculate the capacity conversion coefficient of pumped hydropower.

[0134] Step S304: establishing a profit model for the pumped-storage power station participating in the dual market based on the profit of the pumped-storage power station participating in the electric energy market, the profit of the pumped-storage power station participating in the frequency regulation market, and the conditional risk value of the pumped-storage power station in the electric energy market and the frequency regulation market.

[0135] Specifically, with the goal of maximizing market revenue, the objective function corresponding to the revenue model of pumped storage power stations participating in the dual market is constructed, and its expression is as follows:

[0136] maxδ3(R PS,e +R PS,r )+δ4CVaR PS (twenty one)

[0137] In the above, δ3 and δ4 are (R PS,e +RPS,r ) and CVaR PS The weight coefficient is required to be ≥0.

[0138] Furthermore, the constraints corresponding to the revenue model of pumped storage power stations participating in the dual market include:

[0139] 1) Output power constraints of pumped storage units:

[0140] P dis,min ≤P t,dis ≤P dis,max (twenty two)

[0141] P ch,min ≤P t,ch ≤P ch,max (twenty three)

[0142] Among them, P dis,min and P dis,max They are the power limits of the pumped storage unit under power generation conditions, P ch,min and P ch,max They are the power limits of the pumped storage unit under pumping conditions.

[0143] 2) Constraints on the upper and lower frequency regulation capacity declared by pumped storage power stations:

[0144] 0≤P t,r+ ≤μP dis,max (twenty four)

[0145] 0≤P t,r- ≤μP ch,max (25)

[0146] Among them, μ is the upper limit ratio of pumped storage participating in the frequency regulation market.

[0147] Step S305: Based on the profit model of wind and solar power stations participating in the dual market and the profit model of pumped storage power stations participating in the dual market, a profit model of wind, solar and pumped storage power stations participating in the dual market is established. Figure 2 Step S205 of the illustrated embodiment will not be described in detail here.

[0148] Step S306: Solve the profit model of wind, solar and pumped storage power stations participating in the dual market to obtain the optimal bid power of wind, solar and pumped storage power stations. Figure 2 Step S206 of the illustrated embodiment will not be described in detail here.

[0149] This embodiment provides a method for the joint participation of wind, solar and pumped-storage in electricity market bidding. By calculating the conditional risk value of the pumped-storage power station in the frequency regulation market and the conditional risk value of the pumped-storage power station in the electric energy market, it quantifies the profit risk loss brought to the pumped-storage power station by uncertain factors, laying the foundation for optimizing the bidding power of the pumped-storage power station participating in the dual markets; and, by calculating the profit of the pumped-storage power station participating in the electric energy market and the profit of the pumped-storage power station participating in the frequency regulation market, the profit model of the pumped-storage power station participating in the dual markets comprehensively considers the conditional risk value and the profit of the pumped-storage power station participating in the dual markets, thereby maximizing market profit.

[0150] The following is a specific example to illustrate the specific steps of a method for wind, solar and pumped storage to jointly participate in power market bidding.

[0151] Example 1:

[0152] like Figure 4 As shown, the specific steps of a method for wind, solar and pumped storage to jointly participate in power market bidding include:

[0153] Firstly, the conditional risk value of wind power stations in the electricity energy market and frequency regulation market is analyzed and calculated.

[0154] Secondly, based on the probability density prediction function of wind and solar power, an expected profit model of wind and solar power stations in a dual market is established.

[0155] At the same time, the conditional risk value of the pumped storage power station in the dual market can be calculated, and then the profit model of the pumped storage power station participating in the dual market can be constructed.

[0156] Finally, the profit model of wind-solar-pumped storage power station in a multi-market environment was obtained, and the ant colony algorithm was used to solve the model to obtain the optimal bid power.

[0157] In this embodiment, a device for wind, solar, pumped storage and combined participation in electricity market bidding is also provided. The device is used to implement the above-mentioned embodiments and preferred implementation methods, and the details that have been described will not be repeated. As used below, the term "module" can be a combination of software and / or hardware that implements a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and conceivable.

[0158] This embodiment provides a wind, solar and pumped storage device that participates in power market bidding. Figure 5 Shown, including:

[0159] The first acquisition module 501 is used to obtain the conditional risk value of the wind and solar power station in the electric energy market and the frequency regulation market and the expected benefits of the wind and solar power station participating in the dual markets;

[0160] The first establishing module 502 is used to establish a profit model for the wind and solar power station participating in the dual market based on the conditional risk value of the wind and solar power station in the electric energy market and the frequency regulation market and the expected profit of the wind and solar power station participating in the dual market;

[0161] The second acquisition module 503 is used to obtain the conditional risk value of the pumped storage power station in the electric energy market and the frequency regulation market, the income of the pumped storage power station participating in the electric energy market and the income of the pumped storage power station participating in the frequency regulation market;

[0162] The second establishing module 504 is used to establish a profit model for the pumped-storage power station participating in the dual market based on the profit of the pumped-storage power station participating in the electric energy market, the profit of the pumped-storage power station participating in the frequency regulation market, and the conditional risk value of the pumped-storage power station in the electric energy market and the frequency regulation market;

[0163] The third establishing module 505 is used to establish a revenue model for wind, solar and pumped storage power stations to jointly participate in the dual market based on the revenue model for wind and solar power stations to participate in the dual market and the revenue model for pumped storage power stations to participate in the dual market;

[0164] The solution module 506 is used to solve the profit model of the wind, solar and pumped storage power stations jointly participating in the dual market, and obtain the optimal bid power of the wind, solar and pumped storage power stations.

[0165] In some optional implementations, the first acquisition module 501 includes:

[0166] The first acquisition unit is used to obtain the income of the wind and solar power station group participating in the electric energy market, the real-time output of the wind and solar power stations, the electric energy market bid power of the wind and solar power stations, and the frequency regulation market bid power of the wind and solar power stations;

[0167] The first calculation unit is used to calculate the conditional risk value of the wind and solar power stations in the electric energy market based on the income of the wind and solar power station group participating in the electric energy market, the real-time output of the wind and solar power stations, the electric energy market bid power of the wind and solar power stations, the frequency regulation market bid power of the wind and solar power stations, and the wind and solar power probability density prediction function;

[0168] The second calculation unit is used to obtain a comprehensive frequency regulation performance index, and calculate the conditional risk value of the wind and solar power station in the frequency regulation market based on the comprehensive frequency regulation performance index, the income of the wind and solar power station group participating in the electric energy market, the real-time output of the wind and solar power station, the electric energy market bid power of the wind and solar power station, the frequency regulation market bid power of the wind and solar power station, and the wind and solar power probability density prediction function;

[0169] The first determining unit is used to determine the expected benefits of the wind and solar power stations participating in the dual market by using the wind and solar power probability density prediction function.

[0170] In some optional implementations, the second acquisition module 503 includes:

[0171] The second acquisition unit is used to obtain the income of the pumped storage power station participating in the electric energy market, the real-time output of the pumped storage power station, the bid power of the pumped storage power station in the electric energy market, the bid power of the pumped storage power station in the frequency regulation market, and the pumped storage power probability density prediction function;

[0172] a third calculation unit, configured to calculate the conditional value at risk of the pumped-storage power station in the electric energy market based on the revenue of the pumped-storage power station from participating in the electric energy market, the real-time output of the pumped-storage power station, the bid power of the pumped-storage power station in the electric energy market, the bid power of the pumped-storage power station in the frequency regulation market, and a pumped storage power probability density prediction function;

[0173] a fourth calculation unit, configured to calculate the conditional value at risk of the pumped-storage power station in the frequency regulation market based on the comprehensive frequency regulation performance index, the income of the pumped-storage power station participating in the electric energy market, the real-time output of the pumped-storage power station, the bid power of the pumped-storage power station in the electric energy market, the bid power of the pumped-storage power station in the frequency regulation market, and the pumped-storage power probability density prediction function;

[0174] The fifth calculation unit is used to obtain the operating parameters of the pumped-storage power station and multiple electricity price scenarios, and based on the operating parameters of the pumped-storage power station and the multiple electricity price scenarios, respectively calculate the income of the pumped-storage power station participating in the electricity energy market and the income of the pumped-storage power station participating in the frequency regulation market.

[0175] In some optional implementations, the fifth computing unit includes:

[0176] The first calculation subunit is used to obtain the pumped storage power generation power, the pumped storage pumping power, the probability of occurrence of the electricity price scenario and the electricity market price corresponding to each electricity price scenario, and calculate the income of the pumped storage power station participating in the electricity market based on the pumped storage power generation power, the pumped storage pumping power, the probability of occurrence of the electricity price scenario and the electricity market price corresponding to each electricity price scenario;

[0177] The second calculation sub-unit is used to obtain the frequency regulation market capacity electricity price, frequency regulation mileage clearing electricity price and electric energy market electricity price corresponding to each electricity price scenario, as well as the frequency regulation capacity of the pumped-storage power station, the capacity conversion coefficient of pumped power and the ratio of frequency regulation mileage to frequency regulation capacity, and calculate the benefits of the pumped-storage power station participating in the frequency regulation market based on the probability of occurrence of the electricity price scenario, the frequency regulation market capacity electricity price, the frequency regulation mileage clearing electricity price, the electric energy market electricity price, the frequency regulation capacity of the pumped-storage power station, the capacity conversion coefficient of pumped power and the ratio of frequency regulation mileage to frequency regulation capacity.

[0178] In some optional implementations, the expression of the profit model of the wind, solar and pumped storage power stations jointly participating in the dual market in the third establishment module 505 is as follows:

[0179]

[0180] in, represents the expected benefits of wind and solar power stations participating in the dual market, represents the bidding power of the wind and solar power stations in the node energy market, represents the bidding power of the wind and solar power stations in the frequency regulation market, δ1, δ2, δ3 and δ4 represent weight coefficients, and CVaR WP,e Represents the conditional value at risk of wind power plants in the electricity market, CVaR WP,r represents the conditional risk value of wind power stations in the frequency regulation market, R PS,e represents the income of pumped storage power station participating in the electricity market, R PS,r Represents the benefits of pumped storage power stations participating in the frequency regulation market, CVaR PS It represents the conditional risk value of pumped storage power stations in the electric energy market and frequency regulation market.

[0181] In some optional implementations, the solution module 506 is specifically configured to use an ant colony algorithm to solve a revenue model of wind, solar, and pumped-storage power stations jointly participating in a dual market, and obtain the optimal bid power of the wind, solar, and pumped-storage power stations.

[0182] The further functional description of each of the above modules and units is the same as that of the above corresponding embodiments and will not be repeated here.

[0183] In this embodiment, a device for jointly participating in electricity market bidding for wind, solar and pumped storage is presented in the form of a functional unit. The unit here refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and memory that executes one or more software or fixed programs, and / or other devices that can provide the above functions.

[0184] The embodiment of the present invention also provides a computer device having the above Figure 5 The figure shows a device that combines wind, solar and pumped storage to participate in electricity market bidding.

[0185] See also Figure 6 , Figure 6 is a structural diagram of a computer device provided by an optional embodiment of the present invention, such as Figure 6As shown, the computer device includes: one or more processors 10, a memory 20, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. Various components utilize different buses to communicate with each other and can be installed on a common mainboard or installed in other ways as needed. The processor can process the instructions executed in the computer device, including instructions stored in or on the memory to display the graphical information of a GUI on an external input / output device (such as, a display device coupled to the interface). In some optional embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories. Equally, multiple computer devices can be connected, and each device provides part of the necessary operations (for example, as a server array, a group of blade servers, or a multi-processor system). Figure 6 A processor 10 is taken as an example.

[0186] The processor 10 may be a central processing unit, a network processor, or a combination thereof. The processor 10 may further include a hardware chip. The hardware chip may be an application-specific integrated circuit, a programmable logic device, or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable gate array, a general purpose array logic, or any combination thereof.

[0187] The memory 20 stores instructions that can be executed by at least one processor 10, so that the at least one processor 10 executes the method shown in the above embodiment.

[0188] The memory 20 may include a program storage area and a data storage area, wherein the program storage area may store an operating system and application programs required for at least one function; the data storage area may store data created based on the use of the computer device, etc. In addition, the memory 20 may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some optional embodiments, the memory 20 may optionally include a memory remotely located relative to the processor 10, and these remote memories may be connected to the computer device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0189] The memory 20 may include a volatile memory, such as a random access memory; the memory may also include a non-volatile memory, such as a flash memory, a hard disk or a solid-state drive; the memory 20 may also include a combination of the above types of memory.

[0190] The computer device further includes an input device 30 and an output device 40. The processor 10, the memory 20, the input device 30 and the output device 40 may be connected via a bus or other means. Figure 6 The bus connection is taken as an example.

[0191] The input device 30 can receive input digital or character information and generate key signal input related to user settings and function control of the computer device, such as a touch screen, a keypad, a mouse, a trackpad, a touch pad, an indicator stick, one or more mouse buttons, a trackball, a joystick, etc. The output device 40 can include a display device, an auxiliary lighting device (e.g., an LED), and a tactile feedback device (e.g., a vibration motor). The above-mentioned display device includes but is not limited to a liquid crystal display, a light emitting diode, a display, and a plasma display. In some optional embodiments, the display device can be a touch screen.

[0192] The embodiment of the present invention also provides a computer-readable storage medium. The above-mentioned method according to the embodiment of the present invention can be implemented in hardware, firmware, or implemented as a computer code that can be recorded in a storage medium, or implemented as a computer code that is originally stored in a remote storage medium or a non-temporary machine-readable storage medium and downloaded through a network and will be stored in a local storage medium, so that the method described herein can be stored in such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only storage memory, a random access memory, a flash memory, a hard disk or a solid-state drive, etc.; further, the storage medium can also include a combination of the above-mentioned types of memory. It can be understood that a computer, a processor, a microprocessor controller or programmable hardware includes a storage component that can store or receive software or computer code. When the software or computer code is accessed and executed by a computer, a processor or hardware, the method shown in the above embodiment is implemented.

[0193] A portion of the present invention may be applied as a computer program product, such as a computer program instruction, which, when executed by a computer, can call or provide the method and / or technical solution according to the present invention through the operation of the computer. Those skilled in the art should understand that the form in which the computer program instruction exists in a computer-readable medium includes, but is not limited to, a source file, an executable file, an installation package file, etc. Accordingly, the way in which the computer program instruction is executed by the computer includes, but is not limited to: the computer directly executes the instruction, or the computer compiles the instruction and then executes the corresponding compiled program, or the computer reads and executes the instruction, or the computer reads and installs the instruction and then executes the corresponding installed program. Here, the computer-readable medium may be any available computer-readable storage medium or communication medium that can be accessed by the computer.

[0194] Although the embodiments of the present invention have been described with reference to the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present invention. Such modifications and variations are all within the scope defined by the appended claims.

Claims

1. A method for wind, solar and pumped storage to jointly participate in power market bidding, characterized by: The method comprises: Obtain the conditional risk value of wind and solar power stations in the electric energy market and frequency regulation market, and the expected returns of wind and solar power stations participating in the dual markets; Establishing a profit model for the wind-solar power station participating in the dual market based on the conditional risk value of the wind-solar power station in the electric energy market and the frequency regulation market and the expected profit of the wind-solar power station participating in the dual market; Obtain the conditional risk value of the pumped storage power station in the electricity market and frequency regulation market, the benefits of the pumped storage power station participating in the electricity market, and the benefits of the pumped storage power station participating in the frequency regulation market; Establishing a profit model for the pumped-storage power station participating in the dual market based on the profit of the pumped-storage power station participating in the electric energy market, the profit of the pumped-storage power station participating in the frequency regulation market, and the conditional risk value of the pumped-storage power station in the electric energy market and the frequency regulation market; Establishing a revenue model for wind, solar and pumped-storage power stations to jointly participate in the dual market based on the revenue model for wind and solar power stations to participate in the dual market and the revenue model for pumped-storage power stations to participate in the dual market; The profit model of the wind, solar and pumped-storage power stations jointly participating in the dual market is solved to obtain the optimal bidding power of the wind, solar and pumped-storage power stations.

2. The method according to claim 1, characterized in that The conditional risk value of wind and solar power stations in the electric energy market and the frequency regulation market and the expected benefits of wind and solar power stations participating in the dual markets include: Obtain the revenue of wind and solar power station groups participating in the electricity market, the real-time output of wind and solar power stations, the electricity market bid power of wind and solar power stations, and the frequency regulation market bid power of wind and solar power stations; Calculating the conditional risk value of the wind-solar power station in the electric energy market based on the income of the wind-solar power station group participating in the electric energy market, the real-time output of the wind-solar power station, the electric energy market bid power of the wind-solar power station, the frequency regulation market bid power of the wind-solar power station, and the wind-solar power probability density prediction function; Obtaining a comprehensive frequency regulation performance index, and calculating the conditional value at risk of the wind-solar power station in the frequency regulation market based on the comprehensive frequency regulation performance index, the income of the wind-solar power station group from participating in the electric energy market, the real-time output of the wind-solar power station, the electric energy market bid power of the wind-solar power station, the frequency regulation market bid power of the wind-solar power station, and the wind-solar power probability density prediction function; The expected revenue of the wind-solar power station participating in the dual market is determined using the wind-solar power probability density prediction function.

3. The method according to claim 2, characterized in that The acquisition of the conditional risk value of the pumped storage power station in the electric energy market and the frequency regulation market, the benefits of the pumped storage power station participating in the electric energy market and the benefits of the pumped storage power station participating in the frequency regulation market, includes: Obtain the benefits of pumped storage power stations participating in the electricity market, the real-time output of the pumped storage power stations, the bid power of the pumped storage power stations in the electricity market, the bid power of the pumped storage power stations in the frequency regulation market, and the probability density prediction function of the pumped storage power; Calculate the conditional risk value of the pumped-storage power station in the electric energy market based on the income of the pumped-storage power station participating in the electric energy market, the real-time output of the pumped-storage power station, the bid power of the pumped-storage power station in the electric energy market, the bid power of the pumped-storage power station in the frequency regulation market and the pumped-storage power probability density prediction function; Calculating the conditional value at risk of the pumped-storage power station in the frequency regulation market based on the comprehensive frequency regulation performance index, the income of the pumped-storage power station from participating in the electric energy market, the real-time output of the pumped-storage power station, the electric energy market bid power of the pumped-storage power station, the frequency regulation market bid power of the pumped-storage power station, and the pumped-storage power probability density prediction function; The operating parameters of the pumped-storage power station and multiple electricity price scenarios are obtained, and based on the operating parameters of the pumped-storage power station and the multiple electricity price scenarios, the income of the pumped-storage power station from participating in the electric energy market and the income of the pumped-storage power station from participating in the frequency regulation market are respectively calculated.

4. The method according to claim 3, characterized in that The obtaining of operating parameters of the pumped-storage power station and a plurality of electricity price scenarios, and respectively calculating the revenue of the pumped-storage power station from participating in the electric energy market and the revenue of the pumped-storage power station from participating in the frequency regulation market based on the operating parameters of the pumped-storage power station and the plurality of electricity price scenarios, comprises: Obtaining pumped storage power generation, pumped storage pumping power, probability of occurrence of electricity price scenarios, and electricity market prices corresponding to each electricity price scenario; and calculating the benefits of the pumped storage power station participating in the electricity market based on the pumped storage power generation, the pumped storage pumping power, probability of occurrence of the electricity price scenarios, and electricity market prices corresponding to each electricity price scenario; The frequency regulation market capacity electricity price, frequency regulation mileage-clearing electricity price and electric energy market electricity price corresponding to each electricity price scenario, as well as the frequency regulation capacity of the pumped-storage power station, the capacity conversion coefficient of pumped power, and the ratio of frequency regulation mileage to frequency regulation capacity are obtained; and the benefits of the pumped-storage power station participating in the frequency regulation market are calculated based on the probability of occurrence of the electricity price scenario, the frequency regulation market capacity electricity price, the frequency regulation mileage-clearing electricity price, the electric energy market electricity price, the frequency regulation capacity of the pumped-storage power station, the capacity conversion coefficient of pumped power, and the ratio of frequency regulation mileage to the frequency regulation capacity.

5. The method according to claim 1, wherein The revenue model of the wind-solar-pumped-storage power station participating in the dual market is established based on the revenue model of the wind-solar-pumped-storage power station participating in the dual market and the revenue model of the pumped-storage power station participating in the dual market; wherein the revenue model of the wind-solar-pumped-storage power station participating in the dual market is expressed as follows: in, represents the expected benefits of wind and solar power stations participating in the dual market, represents the bidding power of the wind and solar power stations in the node energy market, represents the bidding power of the wind and solar power stations in the frequency regulation market, δ1, δ2, δ3 and δ4 represent weight coefficients, and CVaR WP,e Represents the conditional value at risk of wind power plants in the electricity market, CVaR WP,r represents the conditional risk value of wind power stations in the frequency regulation market, R PS,e represents the income of pumped storage power station participating in the electricity market, R PS,r Represents the benefits of pumped storage power stations participating in the frequency regulation market, CVaR PS It represents the conditional risk value of pumped storage power stations in the electric energy market and frequency regulation market.

6. The method according to claim 1, characterized in that Solving the revenue model for the wind, solar and pumped-storage power station jointly participating in the dual market to obtain the optimal bid power of the wind, solar and pumped-storage power station includes: The ant colony algorithm is used to solve the profit model of the wind, solar and pumped storage power station jointly participating in the dual market, and the optimal bid power of the wind, solar and pumped storage power station is obtained.

7. A wind-solar-pumped-storage combined bidding device for the power market, characterized in that: The device comprises: The first acquisition module is used to obtain the conditional risk value of the wind and solar power station in the electric energy market and the frequency regulation market and the expected benefits of the wind and solar power station participating in the dual markets; The first establishment module is used to establish a profit model for the wind and solar power station participating in the dual market based on the conditional risk value of the wind and solar power station in the electric energy market and the frequency regulation market and the expected profit of the wind and solar power station participating in the dual market; The second acquisition module is used to obtain the conditional risk value of the pumped storage power station in the electric energy market and the frequency regulation market, the benefits of the pumped storage power station participating in the electric energy market, and the benefits of the pumped storage power station participating in the frequency regulation market; The second establishing module is used to establish a profit model for the pumped-storage power station participating in the dual market based on the profit of the pumped-storage power station participating in the electric energy market, the profit of the pumped-storage power station participating in the frequency regulation market, and the conditional risk value of the pumped-storage power station in the electric energy market and the frequency regulation market; The third establishment module is used to establish a revenue model for the wind-solar-pumped-storage power station to jointly participate in the dual market based on the revenue model of the wind-solar power station participating in the dual market and the revenue model of the pumped-storage power station participating in the dual market; The solution module is used to solve the profit model of the wind, solar and pumped storage power stations jointly participating in the dual market to obtain the optimal bid power of the wind, solar and pumped storage power stations.

8. A computer device, characterized in that: include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the method for wind, solar, and pumped storage to jointly participate in electricity market bidding according to any one of claims 1 to 6 by executing the computer instructions.

9. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer instructions, which are used to enable a computer to execute the method for wind, solar, pumped-storage and combined participation in electricity market bidding according to any one of claims 1 to 6.

10. A computer program product, characterized in that The method comprises computer instructions for causing a computer to execute the method for wind, solar, pumped-storage and combined participation in power market bidding according to any one of claims 1 to 6.

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