New energy base power supply game optimization planning method and system

Abstract

The invention discloses a new energy base power supply game optimization planning method and system, and the method is characterized in that the method comprises the steps: building a new energy base power supply operation model containing field station side energy storage and shared energy storage based on the priority of a flexible resource power storage and discharge calling sequence when the new energy power is residual and insufficient; obtaining power supply investment basic parameters of a new energy base to be planned, and establishing participants, strategy space and a revenue function of the new energy base game model; formulating game rules and game equilibrium conditions based on the new energy base game model; solving by adopting a discrete integer genetic algorithm, carrying out game iteration and recording to obtain a Nash equilibrium point of decision capacity of each participant; a strategy space and a revenue function in the game model consider a decision-making mode of configuring station-side exclusive energy storage by a new energy investor; the game planning method provided by the invention can consider the decision-making motivation and benefit demand of each power supply investor, and is used for solving the new energy base power supply planning problem considering the interests of multiple parties.

Description

Technical Field

[0001] The present invention relates to the field of renewable energy power generation technology, and more specifically, to a new energy base power supply game optimization planning method and system. Background Art

[0002] The construction of large-scale new energy power generation bases in the "Shagohuang" area is the main model for my country's future new energy development and an important way to achieve sustainable energy development.

[0003] In the power supply planning of new energy bases, since different power sources are usually invested and held by different shareholders, this will involve the interests of various power investors. The power supply planning of new energy bases that considers the interests of multiple parties is a key problem that needs to be solved urgently. However, the existing new energy planning problems usually take the overall net profit as the maximum, the maximum new energy transmission and consumption as the solution objectives, and the constructed model is a single-objective solution model, which ignores the interests of various new energy investment operators. When analyzing the planning problems of new energy power systems, the economy and reliability of the system are certainly important, but the decision-making motivations and interest balance of investment operators such as new energy, energy storage, and power grids are also worthy of attention.

[0004] Game theory is a mathematical method that studies the strategic choices made by rational decision makers in competitive relationships under mutual interaction. By introducing game theory into power optimization planning, it can provide a new analytical method for resolving conflicts of interest between investment operators in new energy bases.

[0005] Although some literature has made research and contributions in power planning, there are still some shortcomings: the existing research lacks the discussion of game planning methods for renewable energy power generation base scenarios, and the modeling of power configuration structures such as solar thermal power stations still needs to be further optimized. Considering that the "new energy + energy storage" model has entered the spot market, new energy investment projects usually require self-equipped energy storage. In addition to directly investing in wind power and photovoltaic power generation units, new energy investors can also establish cooperative relationships with energy storage investors to configure station-side energy storage systems for their respective wind power or photovoltaic systems. However, existing research has not further studied and analyzed the configuration strategies of station-side energy storage and shared energy storage systems.

[0006] This shows that there is still a lot of room for research and improvement in the field of power supply planning for new energy bases. Therefore, it is necessary to design a power supply game optimization planning method for new energy bases that includes site-side energy storage and shared energy storage. Summary of the invention

[0007] In view of the deficiencies of the above-mentioned technologies, the present invention provides a new energy base power supply game optimization planning method and system to solve the problem of new energy base power supply planning and investment strategy analysis that the existing research lacks consideration of the interests of power supply investment operators.

[0008] According to a first aspect of the present invention, a new energy base power supply game optimization planning method is provided, comprising:

[0009] Based on the priority of flexible resource storage and discharge call sequence when there is surplus or insufficient power from new energy sources, a new energy base power supply operation model including station-side energy storage and shared energy storage is established;

[0010] Obtain the basic parameters of power source investment for the new energy base to be planned, and establish the participants, strategy space and benefit function of the new energy base game model.

[0011] Based on the new energy base game model, game rules and game equilibrium conditions are formulated.

[0012] The discrete integer genetic algorithm is used to solve the problem, and the Nash equilibrium point of the decision capacity of each participant is obtained through game iteration and recording.

[0013] According to another aspect of the present invention, a new energy base power supply game optimization planning system is also provided, comprising:

[0014] A power supply operation model module is established to construct a new energy base game model, a new energy base power supply operation model including site-side energy storage and shared energy storage is established, and the priority of flexible resource storage and discharge call sequence when there is surplus or insufficient new energy power.

[0015] A three-element game module is constructed, which is based on the new energy base game model, and the new energy base game model includes participants, strategy space and profit function.

[0016] A power game planning execution module is established to execute the power game planning process of the new energy base. The game planning process includes following the power game rules, solving algorithms, game equilibrium conditions, game iterations and recording the Nash equilibrium points of the decision capacity of each participant.

[0017] The technical effects achieved by the present invention are:

[0018] The power supply operation model of the new energy base including station-side energy storage and shared energy storage can realize the calculation of the power supply operation status of the new energy base. The three elements of the game model can describe the decision-making and benefits of the power supply investors of the new energy base. The power supply game planning execution method can simulate the power supply investment competition decision-making process within the new energy base, and can ensure that the decisions of all participants can enable themselves to obtain relatively optimal benefits.

[0019] The present invention can determine the power investment planning scheme of new energy bases under competitive environment and solve the power planning problem of new energy bases considering the interests of multiple parties. The research results can provide theoretical basis and analysis methods for the development and utilization of new energy bases, power planning and operation strategies. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] A more complete understanding of exemplary embodiments of the present invention may be obtained by referring to the following drawings:

[0021] Figure 1 A schematic diagram of a flow chart of a new energy base power supply game optimization planning method described in this implementation mode;

[0022] Figure 2 A schematic diagram of the power game planning relationship of a new energy base including station-side energy storage and shared energy storage according to this implementation mode;

[0023] Figure 3 This is a schematic diagram of the power supply alternation game process of the new energy base described in this implementation mode;

[0024] 4 is a schematic diagram of the game decision-making according to the present embodiment as the number of games changes, which is respectively FIG4(a) a schematic diagram of the game iteration strategy of new energy, FIG4(b) a schematic diagram of the game iteration strategy of energy storage power station, FIG4(c) a schematic diagram of the game iteration strategy of solar thermal power station, FIG4(d) a schematic diagram of the game iteration strategy of energy storage on the wind farm side, and FIG4(e) a schematic diagram of the game iteration strategy of energy storage on the photovoltaic power station side;

[0025] Figure 5 It is a schematic diagram of a new energy base power supply game optimization planning system described in this embodiment. DETAILED DESCRIPTION

[0026] Now, exemplary embodiments of the present invention are described with reference to the accompanying drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. These embodiments are provided to disclose the present invention in detail and completely and to fully convey the scope of the present invention to those skilled in the art. The terms used in the exemplary embodiments shown in the accompanying drawings are not intended to limit the present invention. In the accompanying drawings, the same units / elements are marked with the same reference numerals.

[0027] Unless otherwise specified, the terms (including technical terms) used herein have the commonly understood meanings to those skilled in the art. In addition, it is understood that the terms defined in commonly used dictionaries should be understood to have the same meanings as those in the context of the relevant fields, and should not be understood as idealized or overly formal meanings.

[0028] According to a first aspect of the present invention, a new energy base power supply game optimization planning method 100 is provided, referring to Figure 1 As shown, the method 100 includes:

[0029] S101: Based on the priority of storage and discharge calling sequence of flexible resources when there is surplus or insufficient power of new energy, a new energy base power supply operation model including station-side energy storage and shared energy storage is established.

[0030] The power sources in the new energy base include: wind power, photovoltaic, energy storage power station, and solar thermal power station. The new energy base incorporates the power balance of the receiving power grid and considers its weak power interaction with the adjacent AC power grid. The DC transmission plan curve is formulated into six steps per day based on the planned DC utilization hours. Based on the real-time power status of wind power and photovoltaic power generation systems, the new energy base is divided into power surplus and power shortage operation strategies.

[0031] In order to ensure the regulation capability of the energy storage at the station side and enable the shared energy storage to provide backup grid support, the model prioritizes the discharge of energy storage at the station side and the storage of electricity by the shared energy storage. The solar thermal power station plays a supplementary regulation role as a pilot power station, making it a peak-shaving power source after energy storage. The new energy base is treated as an independent system as much as possible to avoid occupying the flexibility of the interactive main grid, and the purchase and sale of electricity with the interactive main grid is placed at the end of the priority.

[0032] Optionally, based on the priority of storage and discharge calling sequence of flexible resources when there is surplus or insufficient power of new energy, a new energy base power supply operation model including station-side energy storage and shared energy storage is established, including:

[0033] When the renewable energy power generation exceeds the DC transmission power, determine the station-side energy storage and shared energy storage operation strategies when the renewable energy power is surplus;

[0034] When the renewable energy power generation is less than the DC transmission power, determine the station-side energy storage and shared energy storage operation strategies when the renewable energy power is insufficient;

[0035] Determine the operating status of the CSP power station based on the power shortage of the new energy base, the installed capacity of CSP and the current heat storage capacity of the CSP thermal storage tank;

[0036] Based on the operation model of each power source, power is exchanged with the interconnected power grid;

[0037] Based on the operation models of the energy storage power station and the solar thermal power station, the energy storage status is updated.

[0038] Optionally, when the renewable energy power generation exceeds the DC transmission power, the station-side energy storage and shared energy storage operation strategies are determined when the renewable energy power is surplus, including:

[0039] The power surplus calculated by the new energy base system is:

[0040]

[0041] Where: is the theoretical output of wind power at time t; is the theoretical photovoltaic output at time t; P out (t) is the external power at time t; P ex (t) is the excess power at time t.

[0042] The excess power is first allocated to shared energy storage. The maximum storage power of shared energy storage at the current moment is calculated as:

[0043]

[0044] Where: C is the maximum storage power of shared energy storage at time t; CN-inv is the inverter capacity of shared energy storage; C CN-sto The battery capacity for shared energy storage; E CN (t) is the storage capacity of shared energy storage at time t.

[0045] The actual energy storage power of shared energy storage is:

[0046]

[0047] Where: P CN-ch (t) is the actual storage power of the shared energy storage at time t.

[0048] like If there is still surplus power but the shared energy storage is unable to store it, the power that should be limited to the new energy investment and operation parties according to the installed capacity is:

[0049]

[0050] Determine the station-side energy storage operation strategy and interconnected grid power sales when there is surplus renewable energy power, including:

[0051] Taking the wind farm side energy storage system as an example to explain the operation strategy of the station side energy storage, the wind power operator calculates the maximum storage power of the wind farm side energy storage as:

[0052]

[0053] Where: is the maximum storage power of the wind farm side energy storage at time t; C CNwind-inv is the inverter capacity of the wind farm side energy storage; C CNwind-sto E is the battery capacity of the wind farm side energy storage; CNwind (t) is the storage capacity of the wind farm side energy storage at time t.

[0054] Then the actual storage power of the wind farm side energy storage at time t is:

[0055]

[0056] Where: P CNwind-ch (t) is the actual storage power of the wind farm side energy storage at time t.

[0057] The calculation method of energy storage on the photovoltaic power station side is similar to the energy storage method on the wind farm side described in claim 4, so it will not be repeated here.

[0058] Optionally, when the renewable energy power generation power is less than the DC transmission power, the station-side energy storage and shared energy storage operation strategies when the renewable energy power is insufficient are determined, including:

[0059] The power deficit of the new energy base is calculated as:

[0060]

[0061] Where: P la (t) is the power shortage of the new energy base at time t.

[0062] The station-side energy storage facilities equipped by the new energy power station are used to make up for the power generation shortfall; the maximum discharge power of the new energy station-side energy storage is calculated as follows:

[0063]

[0064] Where: and are the maximum discharge power of the energy storage at the wind farm side and the energy storage at the photovoltaic power station side at time t respectively;

[0065] If satisfied This means that the wind and solar energy storage at the station side is capable of being fully released, and the actual discharge power of the energy storage at the station side is:

[0066]

[0067] Where: P CNwind-dis (t) and P CNpv-dis (t) are the actual discharge power of the energy storage at the wind farm side and the energy storage at the photovoltaic power station side at time t;

[0068] On the contrary, if the formula is satisfied This means that the wind and solar power station-side storage energy cannot be fully released, and the power generation ratio allocated by capacity is:

[0069]

[0070] Where: and are the proportional allocation of energy storage on the wind farm side and energy storage on the photovoltaic power station side at time t.

[0071] According to the relationship between the capacity allocation ratio and the maximum discharge capacity, it is divided into the following situations:

[0072] If both meet and This indicates that the proportion of capacity allocation is less than the discharge capacity of the energy storage at the station side, and the actual discharge power of the energy storage at the station side is taken as the result of capacity allocation, that is, and

[0073] If both meet and This indicates that the power allocated by photovoltaic power according to capacity ratio is greater than the discharge power of photovoltaic power station-side energy storage. The actual discharge power of photovoltaic power station-side energy storage is taken as the maximum discharge capacity. Since the photovoltaic station-side energy storage is not set at the maximum capacity, the wind farm station-side energy storage will have a larger power generation space after the photovoltaic is determined. The actual discharge power of the wind farm station-side energy storage

[0074] If both meet and This indicates that the power allocated by wind power according to capacity ratio is greater than the discharge power of the wind farm station-side energy storage. The actual discharge power of the wind farm station-side energy storage is taken as the maximum discharge capacity. Since the wind farm side energy storage is not set at the maximum capacity, when the wind power is determined, the photovoltaic field side energy storage will have a larger power generation space, and the actual discharge power of the photovoltaic field side energy storage

[0075] When the power storage facilities at the station are fully replenished but the power generation gap still exists, the new energy base calls on the shared energy storage resources and obtains the discharge capacity P CN-dis (t).

[0076] Optionally, based on the power shortage of the new energy base, the installed capacity of the CSP power plant and the current heat storage capacity of the CSP thermal storage tank, the operating status of the CSP power plant is determined, including:

[0077] Calculate the power shortage after the station-side energy storage and shared energy storage:

[0078]

[0079] Where: P la2 (t) is the power deficit of the new energy base after energy storage discharge;

[0080] The CSP power station uses concentrating technology to concentrate the heat energy of sunlight and transfer it to the collector. At the beginning of the calculation, the heat storage state of the CSP power station's heat storage tank is updated as follows:

[0081]

[0082] Where: The heat storage capacity of the heat storage tank of the CSP power station at time t without calculating the heat input; The heat storage tank heat after calculating the heat input for the CSP power station; β is the solar multiple of the concentrator mirror of the CSP power station. in (t) is the solar radiation heat sequence;

[0083] According to the heat storage capacity of the heat storage tank, it can be divided into the following two states:

[0084] If the heat storage is greater than the critical heat storage, calculate the maximum power generation of the CSP station at the current moment:

[0085]

[0086] Where: is the maximum power generation of the CSP station at time t; C CSP-inv is the installed capacity of the CSP power station;

[0087] If P la2 (t)>0, the CSP power station is in peak load regulation state, and the actual power generation is:

[0088]

[0089] Where: P CSP (t) is the actual power generation of the CSP station at time t;

[0090] If P la2 (t) = 0, the CSP plant is in the minimum technical output operation state, and the actual power generation is:

[0091] P CSP (t) = δ min ·C CSP-inv

[0092] Where: min is the minimum technical output coefficient of the CSP station;

[0093] If the heat storage is less than the critical heat storage and satisfies Then the actual power generation of the CSP station is the minimum technical output P CSP (t) = δ min ·C CSP-inv .

[0094] If satisfied Then the CSP plant shuts down, P CSP (t)=0.

[0095] Optionally, based on the operation model of each power source, power is exchanged with the interconnected power grid, including:

[0096] If there is power surplus, calculate the power surplus:

[0097]

[0098] Where: P lim (t) is the remaining power of the new energy base after DC transmission and energy storage;

[0099] The power restriction rules for wind and solar are allocated according to actual output:

[0100]

[0101] Where: and They are the power generation limits that should be fed back to wind power and photovoltaic investment operators at time t.

[0102] Considering the interactive capacity limitation of the interconnected grid, the power sold by wind power and photovoltaic power to the interconnected grid is limited:

[0103]

[0104] Where: P windlsell2 (t), P pvsell2 (t) the power sold to the interconnected grid by wind power and photovoltaic investment operators respectively; is the power limit of the interconnected power grid;

[0105] The wind power curtailment power is The photovoltaic power wasted is

[0106] Based on the operation model of each power source, if there is a power shortage, power is purchased from the interconnected power grid:

[0107]

[0108] Where: P grid-buy (t) is the power purchased by the new energy base from the interconnected power grid at time t.

[0109] Optionally, based on the operation models of the energy storage power station and the solar thermal power station, the energy storage status is updated, including:

[0110] Update the storage capacity of wind farm side energy storage, photovoltaic power station side energy storage, and shared energy storage:

[0111] E CNwind (t+Δt)=E CNwind (t)+(P CNwind-ch (t)-P CNwind-dis (t))·Δt

[0112] E CNpv (t+Δt)=ECNpv (t)+(P CNpv-ch (t)-P CNpv-dis (t))·Δt

[0113] E CN (t+Δt)=E CN (t)+(P CN-ch (t)-P CN-dis (t))·Δt

[0114] The heat storage capacity of the heat storage tank of the updated CSP power station is:

[0115]

[0116] Add the thermal storage capacity limit of the CSP power station at the next moment as:

[0117]

[0118] S102: Obtain the basic parameters of the power source investment of the new energy base to be planned, and establish the participants, strategy space and benefit function of the new energy base game model.

[0119] Optionally, the participants, strategy space and profit function in the game model include:

[0120] Identify the participants in the new energy base game model, including investors and operators of wind power, photovoltaic, energy storage and solar thermal power stations;

[0121] Determine the strategy space of the new energy base game model, which refers to the set of all possible actions that participants can choose during the game, including:

[0122] C wind-dec ={C wind , C CNwind-inv , C CNwind-sto}

[0123] C pv-dec ={C pv , C CNpv-inv , C CNpv-sto}

[0124] C CN-dec ={C CN-inv , C CN-sto}

[0125] C CSP-dec ={C CSP-inv , C CSP-sto}

[0126] Where: C wind-dec , C pv-dec , C CN-dec , C CSP-deare the decision variables of investors of wind power, photovoltaic, energy storage power station and solar thermal power station, respectively. wind , C CNwind-inv , C CNwind-sto They are wind power installed capacity, wind farm side energy storage inverter installed capacity, wind farm side energy storage battery capacity, C pv , C CNpv-inv , C CNpv-sto They are photovoltaic installed capacity, photovoltaic power station side energy storage inverter installed capacity, photovoltaic power station side energy storage battery capacity, C CN-inv , C CN-sto are the installed capacity of energy storage inverter and energy storage battery respectively, C CN-inv , C CN-sto They are respectively the installed capacity of the solar thermal power station and the solar thermal heat storage capacity.

[0127] In order to facilitate computer simulation and solve the problem, the step size of the decision capacity is limited and the strategy space is discretized:

[0128]

[0129] Where: m is the type of power supply; is the installed capacity of the mth type of power source; is the unit installed capacity of the mth type of power supply; is the number of installed units of the mth type of power supply, which is a non-negative integer.

[0130] Considering the efficiency of using limited land resources in new energy bases and the decision-making scope of investors, reasonable limits are set on the installed capacity of the system:

[0131]

[0132] Where: They are the maximum number of installed wind power, photovoltaic power, energy storage inverter capacity, energy storage battery capacity, installed capacity of CSP power stations, and thermal storage capacity of CSP power stations; They are respectively the maximum installed capacity of the wind farm station-side energy storage inverter capacity, the wind farm station-side energy storage battery capacity, the photovoltaic station-side energy storage inverter capacity, and the photovoltaic station-side energy storage battery capacity; the above variables are all non-negative integers.

[0133] The profit function is a mathematical expression that calculates the profit of the participants based on the strategies they choose. In the game model of the new energy base, the profit function needs to comprehensively consider the power generation revenue, the interconnected power grid power sales revenue, the energy storage power station power purchase cost, the power source investment and operation and maintenance cost, and the interactive power grid power purchase cost. Specifically, it includes:

[0134] The power generation benefits of wind power, photovoltaic and solar thermal power stations include:

[0135]

[0136] Where: G wind , G pv , G CN , G CSP are the power generation income of investors of wind power, photovoltaic power, energy storage power station and solar thermal power station respectively; wind , pv , CN , CSP They are the on-grid electricity prices for wind power, photovoltaic power, energy storage power stations and solar thermal power stations;

[0137] The revenue from electricity sales of the interconnected power grid includes:

[0138]

[0139] Where: E wind 、E pv 、E CN 、E CSP are the income from electricity sales to the interconnected power grid for wind power and photovoltaic investors respectively; wind2 , pv2 are the electricity sales prices of wind power and photovoltaic power in the interconnected power grid respectively;

[0140] The electricity purchase cost of energy storage power station includes:

[0141]

[0142] Where: B CNbuy is the electricity purchase cost of the energy storage power station investment company; CNbuy The electricity purchase price for the energy storage power station;

[0143] The power investment and operation costs using the equivalent year method include:

[0144]

[0145] Where: M wind 、M pv 、M CN 、M CSP They are the investment and operation and maintenance costs of investors in wind power, photovoltaic, energy storage power stations and solar thermal power stations; They are the unit costs of wind power, photovoltaic power, energy storage inverter capacity, energy storage battery capacity, installed capacity of CSP power stations, and heat storage capacity of CSP power stations; and They are the unit investment costs of the wind farm station-side energy storage inverter and the wind farm station-side energy storage battery capacity respectively; and are the unit investment costs of the energy storage inverter and battery capacity at the photovoltaic station side, μ wind , μ pv , μ CN , μCSP They are the equivalent annual coefficients of wind power, photovoltaic, energy storage power station and solar thermal power station investment manufacturers;

[0146] The costs of purchasing electricity from the interactive grid that new energy investors need to bear include:

[0147]

[0148] Where: η is the apportionment coefficient; P grid-buy (t) is the power purchased from the interactive main grid;

[0149] In summary, the game decision-making profit function of the new energy base game model is:

[0150] F wind =G wind +G wind2 -M wind -W wind

[0151] F pv =G pv +G pv2 -M pv -W pv

[0152] F CN =G CN -B CNbuy -M CN

[0153] F CSP =G CSP -M CSP

[0154] Where: F wind 、F pv 、F CN 、F CSP They are the total profit functions of game decisions for wind power, photovoltaic, energy storage power station and solar thermal power station investors.

[0155] S103: Based on the new energy base game model, formulate game rules and game equilibrium conditions.

[0156] Optionally, the formulating of game rules and game equilibrium conditions includes:

[0157] like Figure 3 As shown in the figure, the investment and operation operators of wind power, photovoltaic, energy storage power stations and solar thermal power stations take turns to make their own optimal decisions based on the principle of optimal response strategy and according to the decisions of the other party:

[0158]

[0159] Where: argmaxF(·) is the optimization function, which means to find the value of x that makes the function F(·) reach the maximum value;

[0160] Furthermore, Nash equilibrium means that each participant has made the best strategy choice and cannot change his strategy alone to obtain higher returns. Therefore, if the result of the k-th game is recorded as the capacity combination The iteration termination condition is that the game results are the same for two consecutive times, denoted as δ * =δ k =δ k-1 , which is the final equilibrium solution of the game.

[0161] S104: A discrete integer genetic algorithm is used to solve the problem, and the game is iterated and the Nash equilibrium point of the decision capacity of each participant is recorded.

[0162] Optionally, the solution and game iterative process includes:

[0163] According to the method of the present invention, a power source game optimization planning model of a new energy base including station-side energy storage and shared energy storage is established. The game process of the new energy base is shown in Table 1.

[0164] Table 1 New energy base game process

[0165]

[0166] Optionally, under certain parameter settings, the game iterates and records the Nash equilibrium point process of each participant's decision capacity as shown in Figure 4(a), Figure 4(b), Figure 4(c), Figure 4(d) and Figure 4(e). As the game iteration proceeds, each investor continuously optimizes their investment decision capacity through strategy adjustment, and finally reaches a stable Nash equilibrium state after 6 rounds of iterative games.

[0167] According to another aspect of the present invention, a new energy base power supply game optimization planning system 500 is also provided. Figure 5 As shown, the system 500 includes:

[0168] Establishing a power supply operation model module 510, which is used to construct a new energy base game model, establish a new energy base power supply operation model including station-side energy storage and shared energy storage, and determine the priority of flexible resource storage and discharge call sequence when there is surplus or insufficient new energy power;

[0169] Constructing a game three-element module 520, which is used based on the new energy base game model, wherein the new energy base game model includes participants, strategy space and benefit function;

[0170] A power game planning execution module 530 is established to execute the power game planning process of the new energy base. The game planning process includes following the power game rules, solving algorithms, game equilibrium conditions, game iterations and recording the Nash equilibrium points of the decision capacity of each participant.

[0171] Therefore, a new energy base power game optimization planning system 500 according to an embodiment of the present invention corresponds to a new energy base power game optimization planning method 100 according to another embodiment of the present invention, and will not be described in detail here.

[0172] The power supply operation model of the new energy base including station-side energy storage and shared energy storage can realize the calculation of the power supply operation status of the new energy base. The three elements of the game model can describe the decision-making and benefits of the power supply investors of the new energy base. The power supply game planning execution method can simulate the power supply investment competition decision-making process within the new energy base, and can ensure that the decisions of all participants can enable themselves to obtain relatively optimal benefits.

[0173] The present invention can determine the power investment planning scheme of new energy bases under competitive environment and solve the power planning problem of new energy bases considering the interests of multiple parties. The research results can provide theoretical basis and analysis methods for the development and utilization of new energy bases, power planning and operation strategies.

[0174] Those skilled in the art will appreciate that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the application can adopt the form of complete hardware embodiment, complete software embodiment, or the embodiment in combination with software and hardware. Moreover, the application can adopt the form of the computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code. The scheme in the embodiment of the present application can be realized in various computer languages, for example, object-oriented programming language Matlab, Python, Java, or literal translation scripting language JavaScript, etc.

[0175] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1A device that provides the functions specified in a block or multiple blocks.

[0176] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0177] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0178] Although the preferred embodiments of the present application have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the present application.

[0179] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

Claims

1. A new energy base power supply game optimization planning method, characterized in that: include: Based on the priority of flexible resource storage and discharge call sequence when there is surplus or insufficient power from new energy sources, a new energy base power supply operation model including station-side energy storage and shared energy storage is established; Obtain the basic parameters of power source investment for the new energy base to be planned, and establish the participants, strategy space and benefit function of the new energy base game model; Based on the new energy base game model, formulate game rules and game equilibrium conditions; The discrete integer genetic algorithm is used to solve the problem, and the Nash equilibrium point of the decision capacity of each participant is obtained through game iteration and recording.

2. The method according to claim 1, characterized in that Based on the priority of flexible resource storage and discharge call sequence when there is surplus or insufficient power of new energy, a new energy base power supply operation model including station-side energy storage and shared energy storage is established, including: When the renewable energy power generation exceeds the DC transmission power, determine the station-side energy storage and shared energy storage operation strategies when the renewable energy power is surplus; When the renewable energy power generation is less than the DC transmission power, determine the station-side energy storage and shared energy storage operation strategies when the renewable energy power is insufficient; Determine the operating status of the CSP power station based on the power shortage of the new energy base, the installed capacity of CSP and the current heat storage capacity of the CSP thermal storage tank; Based on the operation model of each power source, power is exchanged with the interconnected power grid; Based on the operation models of the energy storage power station and the solar thermal power station, the energy storage status is updated.

3. The method according to claim 2, characterized in that When the renewable energy power generation exceeds the DC transmission power, the station-side energy storage and shared energy storage operation strategies are determined when the renewable energy power is surplus, including: The power surplus calculated by the new energy base system is: Where: is the theoretical output of wind power at time t; is the theoretical photovoltaic output at time t; P out (t) is the external power at time t; P ex (t) is the excess power at time t; The excess power is first allocated to shared energy storage. The maximum storage power of shared energy storage at the current moment is calculated as: Where: C is the maximum storage power of shared energy storage at time t; CN-inv is the inverter capacity of shared energy storage; C CN-sto The battery capacity for shared energy storage; E CN (t) is the storage capacity of the shared energy storage at time t; The actual energy storage power of shared energy storage is: Where: P CN-ch (t) is the actual storage power of the shared energy storage at time t; like If there is still surplus power but the shared energy storage is unable to store it, the power that should be limited to the new energy investment and operation parties according to the installed capacity is: Then determine the energy storage operation strategy at the station side.

4. The method according to claim 3, characterized in that Determine the station-side energy storage operation strategy when there is surplus power from new energy sources, including: Taking the wind farm side energy storage system as an example to explain the operation strategy of the station side energy storage, the wind power operator calculates the maximum storage power of the wind farm side energy storage as: Where: is the maximum storage power of the wind farm side energy storage at time t; C CNwind-inv is the inverter capacity of the wind farm side energy storage; C CNwind-sto E is the battery capacity of the wind farm side energy storage; CNwind (t) is the storage capacity of the wind farm side energy storage at time t; Then the actual storage power of the wind farm side energy storage at time t is: Where: P CNwind-ch (t) is the actual storage power of the wind farm side energy storage at time t; The calculation method of energy storage on the photovoltaic power station side is similar to the energy storage method on the wind farm side described in claim 4, so it will not be repeated here.

5. The method according to claim 2, characterized in that: When the renewable energy power generation is less than the DC transmission power, the station-side energy storage and shared energy storage operation strategies are determined when the renewable energy power is insufficient, including: The power deficit of the new energy base is calculated as: Where: P la (t) is the power shortage of the new energy base at time t; The station-side energy storage facilities equipped by new energy power stations are used to make up for the power generation shortfall; the maximum discharge power of the new energy station-side energy storage is calculated as follows: Where: and are the maximum discharge power of the energy storage at the wind farm side and the energy storage at the photovoltaic power station side at time t respectively; If satisfied This means that the wind and solar energy storage at the station side is capable of being fully released, and the actual discharge power of the energy storage at the station side is: Where: P CNwind-dis (t) and P CNpv-dis (t) are the actual discharge power of the energy storage at the wind farm side and the energy storage at the photovoltaic power station side at time t; On the contrary, if the formula is satisfied This means that the wind and solar power station-side storage energy cannot be fully released, and the power generation ratio allocated by capacity is: Where: and are the proportional allocation of energy storage on the wind farm side and energy storage on the photovoltaic power station side at time t; According to the relationship between the capacity allocation ratio and the maximum discharge capacity, it is divided into the following situations: If both meet and This indicates that the proportion of capacity allocation is less than the discharge capacity of the energy storage at the station side, and the actual discharge power of the energy storage at the station side is taken as the result of capacity allocation, that is, and If both meet and This indicates that the power allocated by photovoltaic power according to capacity ratio is greater than the discharge power of photovoltaic power station-side energy storage. The actual discharge power of photovoltaic power station-side energy storage is taken as the maximum discharge capacity. Since the photovoltaic station-side energy storage is not set at the maximum capacity, the wind farm station-side energy storage will have a larger power generation space after the photovoltaic is determined. The actual discharge power of the wind farm station-side energy storage If both meet and This indicates that the power allocated by wind power according to capacity ratio is greater than the discharge power of the wind farm station-side energy storage. The actual discharge power of the wind farm station-side energy storage is taken as the maximum discharge capacity. Since the wind farm side energy storage is not set at the maximum capacity, when the wind power is determined, the photovoltaic field side energy storage will have a larger power generation space, and the actual discharge power of the photovoltaic field side energy storage When the power storage facilities at the station are fully replenished but the power generation gap still exists, the new energy base calls on the shared energy storage resources and obtains the discharge capacity P CN-dis (t).

6. The method according to claim 2, characterized in that Based on the power shortage of the new energy base, the installed capacity of CSP and the current heat storage capacity of the CSP storage tank, the operating status of the CSP power station is determined, including: Calculate the power shortage after the station-side energy storage and shared energy storage: Where: P la2 (t) is the power deficit of the new energy base after energy storage discharge; The CSP power station uses concentrating technology to concentrate the heat energy of sunlight and transfer it to the collector. At the beginning of the calculation, the heat storage state of the CSP power station's heat storage tank is updated as follows: Where: The heat storage capacity of the heat storage tank of the CSP power station at time t without calculating the heat input; is the heat storage tank heat after calculating the heat input of the CSP power station; β is the solar multiple of the concentrator of the CSP power station; H in (t) is the solar radiation heat sequence; According to the heat storage capacity of the heat storage tank, it can be divided into the following two states: If the heat storage is greater than the critical heat storage, calculate the maximum power generation of the CSP station at the current moment: Where: is the maximum power generation of the CSP station at time t; C CSP-inv is the installed capacity of the CSP power station; If P la2 (t)>0, the CSP power station is in peak load regulation state, and the actual power generation is: Where: P CSP (t) is the actual power generation of the CSP station at time t; If P la2 (t) = 0, the CSP plant is in the minimum technical output operation state, and the actual power generation is: P CSP (t)=δ min ·C CSP-inv Where: min is the minimum technical output coefficient of the CSP station; If the heat storage is less than the critical heat storage and satisfies Then the actual power generation of the CSP station is the minimum technical output P CSP (t) = δ min ·C CSP-inv ; If satisfied Then the CSP plant shuts down, P CSP (t)=0.

7. The method according to claim 3, claim 5, and claim 6, characterized in that: Based on the operation model of each power source, power is exchanged with the interconnected power grid, including: If there is power surplus, calculate the power surplus: Where: P lim (t) is the remaining power of the new energy base after DC transmission and energy storage; The power restriction rules for wind and solar are allocated according to actual output: Where: and are the power generation limits that should be fed back to wind power and photovoltaic investment operators at time t; Considering the interactive capacity limitation of the interconnected grid, the power sold by wind power and photovoltaic power to the interconnected grid is limited: Where: P windlsell2 (t), P pvsell2 (t) the power sold to the interconnected grid by wind power and photovoltaic investment operators respectively; is the power limit of the interconnected power grid; The wind power curtailment power is The photovoltaic power wasted is Based on the operation model of each power source, if there is a power shortage, power is purchased from the interconnected power grid: Where: P grid-buy (t) is the power purchased by the new energy base from the interconnected power grid at time t.

8. The method according to claim 2, characterized in that: Based on the energy storage and CSP plant operation models, the energy storage status is updated, including: Update the storage capacity of wind farm side energy storage, photovoltaic power station side energy storage, and shared energy storage: E CNwind (t+Δt)=E CNwind (t)+(P CNwind-ch (t)-P CNwind-dis (t))·Δt E CNpv (t+Δt)=E CNpv (t)+(P CNpv-ch (t)-P CNpv-dis (t))·Δt E CN (t+Δt)=E CN (t)+(P CN-ch (t)-P CN-dis (t))·Δt The heat storage capacity of the heat storage tank of the updated CSP power station is: Add the thermal storage capacity limit of the CSP power station at the next moment as: 。 9. The method according to claim 1, characterized in that: A new energy base game model is constructed, wherein the new energy base game model includes participants and a strategy space, including: Identify the participants in the new energy base game model, including investors and operators of wind power, photovoltaic, energy storage and solar thermal power stations; Determine the strategy space of the new energy base game model, which refers to the set of all possible actions that participants can choose during the game, including: C wind-dec ={C wind 、C CNwind-inv 、C CNwind-sto } C pv-dec ={C pv 、C CNpv-inv 、C CNpv-sto } C CN-dec ={C CN-inv 、C CN-sto } C CSP-dec ={C CSP-inv 、C CSP-sto } Where: C wind-dec , C pv-dec , C CN-dec、 C CSP-de are the decision variables of investors of wind power, photovoltaic, energy storage power station and solar thermal power station, respectively. wind , C CNwind-inv , C CNwind-sto They are wind power installed capacity, wind farm side energy storage inverter installed capacity, wind farm side energy storage battery capacity, C pv , C CNpv-inv , C CNpv-sto They are photovoltaic installed capacity, photovoltaic power station side energy storage inverter installed capacity, photovoltaic power station side energy storage battery capacity, C CN-inv , C CN-sto are the installed capacity of energy storage inverter and energy storage battery respectively, C CN-inv , C CN-sto They are respectively the installed capacity of the solar thermal power station and the solar thermal heat storage capacity.

10. The method according to claim 1, characterized in that A new energy base game model is constructed, wherein the new energy base game model includes a profit function, including: The power generation benefits of wind power, photovoltaic and solar thermal power stations include: Where: G wind , G pv , G CN , G CSP are the power generation income of investors of wind power, photovoltaic power, energy storage power station and solar thermal power station respectively; wind , pv , CN , CSP They are the on-grid electricity prices for wind power, photovoltaic power, energy storage power stations and solar thermal power stations; The revenue from electricity sales of the interconnected power grid includes: Where: E wind 、E pv 、E CN 、E CSP are the income from electricity sales to the interconnected power grid for wind power and photovoltaic investors respectively; wind2 , pv2 are the electricity sales prices of wind power and photovoltaic power in the interconnected power grid respectively; The electricity purchase cost of energy storage power station includes: Where: B CNbuy is the electricity purchase cost of the energy storage power station investment company; CNbuy The electricity purchase price for the energy storage power station; The power investment and operation costs using the equivalent year method include: Where: M wind 、M pv 、M CN 、M CSP They are the investment and operation and maintenance costs of investors in wind power, photovoltaic, energy storage power stations and solar thermal power stations; They are the unit costs of wind power, photovoltaic power, energy storage inverter capacity, energy storage battery capacity, installed capacity of CSP power stations, and heat storage capacity of CSP power stations; and They are the unit investment costs of the wind farm station-side energy storage inverter and the wind farm station-side energy storage battery capacity respectively; and are the unit investment costs of the energy storage inverter and battery capacity at the photovoltaic station side, μ wind , μ pv , μ CN , μ CSP They are the equivalent annual coefficients of wind power, photovoltaic, energy storage power station and solar thermal power station investment manufacturers; The costs of purchasing electricity from the interactive grid that new energy investors need to bear include: Where: η is the apportionment coefficient; P grid-buy (t) is the power purchased from the interactive main grid; In summary, the game decision-making profit function of the new energy base game model is: F wind =G wind +G wind2 -M wind -W wind F pv =G pv +G pv2 -M pv -W pv F CN =G CN -B CNbuy -M CN F CSP =G CSP -M CSP Where: F wind 、F pv 、F CN 、F CSP They are the total profit functions of game decisions for wind power, photovoltaic, energy storage power station and solar thermal power station investors.

11. The method according to claim 1, characterized in that Formulate game rules and game equilibrium conditions, use discrete integer genetic algorithm to solve, iterate the game and record the Nash equilibrium points of the decision-making capacity of each participant, including: The investment and operation operators of wind power, photovoltaic, energy storage and solar thermal power plants take turns to make their own optimal decisions based on the principle of optimal response strategy according to the decisions of the other party: Where: arg max F(·) is the optimization function, which means to find the x value that makes the function F(·) reach the maximum value; If the result of the k-th game is recorded as the capacity combination The iteration termination condition is that the game results are the same for two consecutive times, denoted as δ * =δ k =δ k-1 , which is the final equilibrium solution of the game.

12. A new energy base power supply game optimization planning system, characterized in that: include: Establish a power supply operation model module to construct a new energy base game model, establish a new energy base power supply operation model including site-side energy storage and shared energy storage, and determine the priority of flexible resource storage and discharge call sequence when there is surplus or insufficient new energy power; Constructing a three-element game module based on the new energy base game model, wherein the new energy base game model includes participants, strategy space and benefit function; A power game planning execution module is established to execute the power game planning process of the new energy base. The game planning process includes following the power game rules, solving algorithms, game equilibrium conditions, game iterations and recording the Nash equilibrium points of the decision capacity of each participant.

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