Carbon transaction-considered declaration strategy optimization method and system for participation of optical storage system in electricity market

Abstract

The invention relates to the technical field of smart power grids, and provides a carbon transaction-considered declaration strategy optimization method and system for participation of an optical storage system in a power market, and the method comprises the steps: constructing a strategy optimization model which aims at maximizing the total revenue and meets the operation constraint of the optical storage system; according to the carbon emission characteristics of different units in the current optical storage system, constructing an electric-carbon coupling quotation model of the conventional unit; and according to current day-ahead power market clearing and real-time power market clearing, based on the electricity-carbon coupling quotation model, performing optimization solution on the strategy optimization model, and outputting a declaration strategy of participation of the optical storage system in the power market.

Description

Technical Field

[0001] The present invention relates to the field of smart grid technology, and more specifically, to a method and system for optimizing a declaration strategy for a photovoltaic storage system participating in an electricity market taking carbon trading into consideration. Background Art

[0002] As one of the main tools to promote electricity emission reduction, the combined power generation system of photovoltaic and energy storage has become the mainstream trend of new energy station construction. However, there are still the following problems in the quotation strategy and regulation method of photovoltaic and energy storage stations participating in the electricity spot market: the size of photovoltaic and energy storage stations under the traditional market mechanism is relatively small, and they usually do not participate in market clearing, which is not enough to affect electricity prices; the introduction of carbon trading has brought about essential changes to the electricity market, the output of photovoltaic and energy storage stations, and the energy distribution method of traditional systems; the coupling between photovoltaic and energy storage in large-scale photovoltaic and energy storage stations is unclear, which underestimates the benefits of photovoltaic and energy storage coordinated control. Therefore, how large-scale photovoltaic and energy storage stations consider carbon trading to reasonably report quantity and price has become an important factor restricting the development of new energy stations.

[0003] At present, a method for optimizing the operation of a photovoltaic storage system in an electricity market environment has been proposed. Based on the operation model, constraints and objective function of the photovoltaic storage system, an optimization scheduling model with the minimization of the photovoltaic storage system cost as the objective function is constructed, and the transaction results are predicted in the electricity market based on bilateral auctions to obtain the optimal operation strategy of the photovoltaic storage system. However, this technology does not consider the benefits of the photovoltaic storage system participating in the electricity market and the influence of other market players on it, resulting in the final operation strategy not meeting the actual electricity market demand. Summary of the invention

[0004] In order to overcome the defect of the above-mentioned prior art that the benefits of photovoltaic storage systems participating in the electricity market and the influence of other market players on it are not considered, resulting in the final operation strategy not meeting the actual electricity market demand, the present invention provides a declaration strategy optimization method and system for photovoltaic storage systems participating in the electricity market considering carbon trading.

[0005] In order to solve the above technical problems, the technical solution of the present invention is as follows: A method for optimizing the declaration strategy of a photovoltaic storage system participating in the electricity market considering carbon trading includes the following steps: Construct a strategy optimization model that aims to maximize total revenue and meet the operation constraints of the photovoltaic storage system; According to the carbon emission characteristics of different units in the current solar-storage system, an electricity-carbon coupling quotation model for conventional units is constructed; According to the current day-ahead electricity market clearing and real-time electricity market clearing, based on the electricity-carbon coupling quotation model, the strategy optimization model is optimized and solved, and the declaration strategy for the photovoltaic storage system to participate in the electricity market is output.

[0006] The present invention also proposes a declaration strategy optimization system for a photovoltaic storage system participating in the power market considering carbon trading, and applies the declaration strategy optimization method for a photovoltaic storage system participating in the power market considering carbon trading proposed by the present invention. The system includes: Data collection module, used for carbon emission characteristics of different units in the current solar-storage system, as well as current day-ahead power market clearing and real-time power market clearing; The electricity-carbon coupling quotation module is used to build an electricity-carbon coupling quotation model for conventional units based on the carbon emission characteristics of different units in the current photovoltaic storage system; A strategy optimization module is equipped with a strategy optimization model that aims to maximize total revenue and meet the operating constraints of the photovoltaic storage system; the strategy optimization module is used to optimize and solve the strategy optimization model based on the current day-ahead electricity market clearing and real-time electricity market clearing, based on the electricity-carbon coupling quotation model, and output the declaration strategy for the photovoltaic storage system to participate in the electricity market.

[0007] Furthermore, the present invention also proposes a device, including a memory and a processor, wherein the memory stores computer-readable instructions, wherein when the computer-readable instructions are executed by the processor, the processor executes all or part of the steps of the method for optimizing the declaration strategy for the participation of photovoltaic storage systems in the electricity market considering carbon trading as described in the present invention.

[0008] Furthermore, the present invention also proposes a storage medium having computer-readable instructions stored thereon, wherein the computer-readable instructions, when executed by a processor, implement all or part of the steps of the method for optimizing the declaration strategy for the participation of photovoltaic storage systems in the electricity market taking into account carbon trading as described in the present invention.

[0009] Compared with the prior art, the technical solution of the present invention has the following beneficial effects: The present invention combines the carbon trading market, day-ahead electricity market clearing and real-time electricity market, fully considers the carbon emission characteristics of different units in the photovoltaic storage system, and considers the randomness and volatility of photovoltaic output in the photovoltaic storage system, and sets a strategy optimization model that aims to maximize total revenue and meets the operating constraints of the photovoltaic storage system. It effectively improves the feasibility and decision-making accuracy of the photovoltaic storage system in the process of participating in the electricity market bidding, while improving its comprehensive benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 The present invention is a flowchart of a method for optimizing a declaration strategy for a photovoltaic storage system participating in a power market according to an embodiment of the present invention.

[0011] Figure 2 This is a logical framework diagram of a method for optimizing a declaration strategy for a photovoltaic storage system participating in a power market according to an embodiment of the present invention.

[0012] Figure 3 This is an architecture diagram of a declaration strategy optimization system for a photovoltaic storage system participating in the electricity market according to an embodiment of the present invention. DETAILED DESCRIPTION

[0013] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Instead, they are merely examples of devices and methods consistent with some aspects of the present invention as detailed in the appended claims.

[0014] The terms used in the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The singular forms "a", "the" and "the" used in the present invention and the appended claims are also intended to include plural forms unless the context clearly indicates other meanings. It should also be understood that the term "and / or" used herein refers to and includes any or all possible combinations of one or more associated listed items.

[0015] It should be understood that although the terms first, second, third, etc. may be used in the present invention to describe various information, these information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of the present invention, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining".

[0016] The present invention is described in detail below with reference to the accompanying drawings and specific embodiments.

[0017] Example 1 This embodiment proposes a declaration strategy optimization method for a photovoltaic storage system participating in the electricity market considering carbon trading, such as Figure 1 , 2 As shown, it is a flow chart and a logical framework diagram of the declaration strategy optimization method for the photovoltaic storage system participating in the electricity market considering carbon trading in this embodiment.

[0018] The method for optimizing the declaration strategy of the photovoltaic storage system participating in the electricity market considering carbon trading proposed in this embodiment includes the following steps: Construct a strategy optimization model that aims to maximize total revenue and meet the operation constraints of the photovoltaic storage system; According to the carbon emission characteristics of different units in the current solar-storage system, an electricity-carbon coupling quotation model for conventional units is constructed; According to the current day-ahead electricity market clearing and real-time electricity market clearing, based on the electricity-carbon coupling quotation model, the strategy optimization model is optimized and solved, and the declaration strategy for the photovoltaic storage system to participate in the electricity market is output.

[0019] In this embodiment, by combining the carbon trading market, day-ahead electricity market clearing and real-time electricity market, the carbon emission characteristics of different units in the photovoltaic storage system are fully considered, while the randomness and volatility of photovoltaic output in the photovoltaic storage system are considered. A strategy optimization model is set to maximize total revenue and meet the operating constraints of the photovoltaic storage system. This effectively improves the feasibility and decision-making accuracy of the photovoltaic storage system in the process of participating in the electricity market bidding, while improving its comprehensive benefits.

[0020] In an optional embodiment, the strategy optimization model aims to maximize the total benefit; its expression is:

[0021]

[0022]

[0023]

[0024]

[0025]

[0026]

[0027] in, Representation Node The revenue of the station in the day-ahead electricity market, Representation Node The revenue of the station in the real-time electricity market; A node set representing a station; T is the total period; In the day-ahead electricity market t time i Node in j Discharge power of the quoted segment, In the day-ahead electricity market t time i Node in k Charging power in the quoted segment; For Node In the day-ahead electricity market t The node marginal electricity price at the time, For Node Station jThe cost of the quotation period, which includes the site power generation cost and equipment loss cost; Indicates the duration of each period; Represents a real-time electricity market scenario The weight of Indicates the real-time electricity market s In the scenario t time i Node in j Discharge power of the quoted segment, Indicates the real-time electricity market s In the scenario t time i Node in k Charging power in the quoted segment; for i Nodes in real-time electricity markets t The node marginal electricity price at the time; and for i Solar storage system at node stations j Quote segment and k The declared price for power generation and energy storage charging in the quotation period; , For quotation The lower and upper limits of , For quotation The lower and upper limits of After optimizing and solving the strategy optimization model, the output declaration strategy includes the declared price of power generation of the photovoltaic storage system and the declared price of energy storage charging.

[0028] Optionally, the strategy optimization model also includes a constraint model that takes into account the randomness and volatility of photovoltaic output due to coordinated control in the photovoltaic storage system. The coordinated control of the photovoltaic storage system includes: 1) The charging and discharging operation of the photovoltaic storage system is coordinated and regulated based on the photovoltaic processing curve, and the charge state of the photovoltaic storage system is controlled within a certain threshold range; 2) The photovoltaic storage system performs charging and discharging operations based on the peak and valley curve of electricity prices; 3) On the basis of meeting the photovoltaic output winning bid of the photovoltaic storage system, the remaining photovoltaic output is saved and sold in the real-time market stage.

[0029] For case 1), this embodiment takes into account that when the climate is abnormal and the weather changes, the photovoltaic output fluctuates violently, and the energy storage system often performs charging and discharging operations to smooth the photovoltaic output curve. Specifically, when the climbing rate of the photovoltaic output curve is too high, that is, when the photovoltaic output increases rapidly, the energy storage system needs to absorb energy and present a charging state to smooth the rapid increase of photovoltaic output. On the contrary, when the climbing rate is too low, that is, when the photovoltaic output decreases rapidly, the energy storage system needs to release energy and present a discharging state to smooth the rapid decrease of photovoltaic output.

[0030] In addition, the charging and discharging of the energy storage system also needs to consider its own state, such as the state of charge (SOC). In order to avoid overcharging or over-discharging of the energy storage system, corresponding charging and discharging control is usually performed when the SOC reaches a certain threshold, thereby reducing the randomness and uncertainty of photovoltaic output.

[0031] For case 2), this embodiment takes into account that the energy storage system often changes based on the peak and valley changes of electricity prices, and charges when the electricity price is low and discharges when the electricity price is high, thereby achieving peak-valley arbitrage, where charging includes purchasing electricity from the grid and part of the photovoltaic output.

[0032] For case 3), this embodiment takes into account the situation where the photovoltaic storage system participates in the day-ahead power market bidding, in which the independent system operator (ISO) of the power market clears and obtains the winning bid for the photovoltaic output of the photovoltaic storage system. The energy storage system saves the remaining photovoltaic output on the day-ahead on the basis of meeting the winning bid (if the photovoltaic output is not enough for the winning bid, the energy storage system will fill the gap) and sells it in the real-time market stage, thereby realizing arbitrage across time scales.

[0033] Further optionally, the constraint model of this embodiment is expressed as:

[0034]

[0035]

[0036]

[0037]

[0038]

[0039]

[0040]

[0041]

[0042]

[0043] Among them, the constraints 1-2 represent the equation relationship between the sum of charging and discharging of each quotation period of the photovoltaic-storage station and its internal photovoltaic-storage output; In the day-ahead electricity market t time i Node in j Discharge power of the quoted segment; express i The power sold by the node to the grid in the photovoltaic storage station; express t time i Discharge power of node energy storage; In the day-ahead electricity market t time i Node in k Charging power for the quoted segment, express t time i The power purchased by the node from the grid in the photovoltaic storage station; Constraints 3-7 represent the energy storage SOC constraints, where express t time i The node's state of charge; and express i The initial state of charge and final state of charge of the node; is the energy storage loss coefficient, and It is the energy storage charging efficiency and discharging efficiency; and They are i The total charging power and total discharging power of the node energy storage; is the rated capacity of energy storage; for i The charging power of the node photovoltaic to the energy storage system; and for i The lower and upper limits of the node's state of charge; Constraints 8-9 are used to constrain the storage energy to not be charged and discharged simultaneously through binary variables and sufficiently large numbers, where: is a binary variable; express i The upper limit of the power that a node can purchase from the grid in a solar-storage station; express i The discharge power limit of the node energy storage system; Article 10 is used to constrain the power sold by photovoltaic to the grid Instead of charging the energy storage The sum is not greater than the forecast value of photovoltaic output on the previous day .

[0044] This embodiment fully considers the randomness and volatility of photovoltaic output in the photovoltaic storage system, and based on the ISO receiving the quotation clearing result feedback of multiple market players, it finally forms the constraint conditions that meet the coordinated regulation of the photovoltaic storage system to improve the decision-making accuracy.

[0045] In an optional embodiment, the construction of the electricity-carbon coupling quotation model for conventional units includes the following steps: Collect the actual and benchmark values ​​of carbon emission intensity of each node unit in the target area, as well as the carbon market price; Based on the bidding conditions of each node unit in the target area in different time periods, the electricity-carbon coupling bidding model of conventional units is constructed; its expression is:

[0046]

[0047] in, for Node conventional units in the quotation period The electricity-carbon coupling offer; express Node conventional units in the quotation period The original quote of express Carbon trading costs of node conventional units; express The actual value of carbon emission intensity of conventional units at the node, Actual benchmark value of carbon emission intensity of conventional units at the node; represents the carbon market price.

[0048] In an optional embodiment, the method further includes: The current day-ahead power market clearing and real-time power market clearing are obtained through the power market independent system operator at a preset collection cycle, and the node marginal electricity prices of the day-ahead power market and the real-time power market as well as the winning bid electricity of each market member are obtained; Among them, the winning electricity volume in the day-ahead electricity market is settled using the day-ahead electricity price, and the difference between the optimized electricity volume in the real-time electricity market and the winning electricity volume in the day-ahead electricity market is settled using the real-time electricity price.

[0049] Further optionally, the collection period is set to 1 hour.

[0050] In this embodiment, it is considered that the current electricity spot market is generally composed of the day-ahead electricity market (DA) and the real-time electricity market (RT). In the application scenario, each electricity market member will report its own power-price curve in each time period of the day-ahead electricity market DA and the real-time electricity market RT. Then, after receiving the declaration information from both the supply and demand sides, the electricity market independent system operator ISO performs clearing in the order of DA-RT, and obtains the node marginal price (locational marginal price, LMP) of the day-ahead electricity market DA and the real-time electricity market RT, as well as the winning bid electricity of each market member. Finally, clearing is performed according to the current electricity spot market settlement mechanism: the winning bid electricity of the day-ahead electricity market DA is settled at the day-ahead electricity price, and the difference between the optimized electricity of the real-time electricity market RT and the winning bid electricity of the day-ahead electricity market DA is settled at the real-time electricity price.

[0051] In this embodiment, a set of optimization models for the declaration strategy of photovoltaic storage systems that adapt to the electricity market mechanism is formed based on the feedback of the quotation clearing results received by the ISO from multiple market players, which effectively improves the feasibility and decision-making accuracy of the photovoltaic storage system in the process of participating in the electricity market bidding, while improving its comprehensive benefits.

[0052] Example 2 This embodiment applies the declaration strategy optimization method for the photovoltaic storage system participating in the power market considering carbon trading proposed in Example 1, and proposes a declaration strategy optimization system for the photovoltaic storage system participating in the power market considering carbon trading. Figure 3 As shown, it is an architecture diagram of the declaration strategy optimization system of the photovoltaic storage system participating in the electricity market considering carbon trading in this embodiment.

[0053] The application strategy optimization system for the PV-storage system participating in the electricity market considering carbon trading proposed in this embodiment includes: Data collection module, used for carbon emission characteristics of different units in the current solar-storage system, as well as current day-ahead power market clearing and real-time power market clearing; The electricity-carbon coupling quotation module is used to build an electricity-carbon coupling quotation model for conventional units based on the carbon emission characteristics of different units in the current photovoltaic storage system; A strategy optimization module is equipped with a strategy optimization model that aims to maximize total revenue and meet the operating constraints of the photovoltaic storage system; the strategy optimization module is used to optimize and solve the strategy optimization model based on the current day-ahead electricity market clearing and real-time electricity market clearing, based on the electricity-carbon coupling quotation model, and output the declaration strategy for the photovoltaic storage system to participate in the electricity market.

[0054] It can be understood that the system of this embodiment corresponds to the method of the above-mentioned embodiment 1, and the options in the above-mentioned embodiment 1 are also applicable to this embodiment, so they will not be described repeatedly here.

[0055] Example 3 This embodiment proposes a computer device, including a memory and a processor, wherein the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, the processor executes all or part of the steps of the method for optimizing the declaration strategy for the participation of photovoltaic storage systems in the electricity market considering carbon trading as proposed in Example 1.

[0056] Example 4 This embodiment proposes a storage medium having computer-readable instructions stored thereon, wherein the computer-readable instructions, when executed by a processor, implement all or part of the steps of the method for optimizing the declaration strategy for the participation of a photovoltaic energy storage system in the electricity market considering carbon trading proposed in Embodiment 1.

[0057] Exemplarily, the storage medium includes, but is not limited to, a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes.

[0058] Exemplarily, the instructions, programs, code sets or instruction sets may be implemented using conventional programming languages.

[0059] Exemplarily, the processor includes but is not limited to a smart phone, a personal computer, a server, a network device, etc., and is used to execute all or part of the steps of the method for optimizing the declaration strategy for the participation of a photovoltaic storage system in the electricity market considering carbon trading as described in Example 1.

[0060] Each embodiment of the present invention is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment. The device embodiment described above is merely exemplary, in which the modules described as separate components may or may not be physically separated, and the functions of each module can be implemented in the same or one or more software and / or hardware when implementing the scheme of the present invention. It is also possible to select some or all of the modules according to actual needs to achieve the purpose of the scheme of this embodiment.

[0061] Obviously, the above embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not intended to limit the embodiments of the present invention. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the embodiments here. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the claims of the present invention.

Claims

1. A declaration strategy optimization method for a photovoltaic storage system participating in the electricity market considering carbon trading, characterized in that: The following steps are involved: Construct a strategy optimization model that aims to maximize total revenue and meet the operation constraints of the photovoltaic storage system; According to the carbon emission characteristics of different units in the current solar-storage system, an electricity-carbon coupling quotation model for conventional units is constructed; According to the current day-ahead electricity market clearing and real-time electricity market clearing, based on the electricity-carbon coupling quotation model, the strategy optimization model is optimized and solved, and the declaration strategy for the photovoltaic storage system to participate in the electricity market is output.

2. The method for optimizing the declaration strategy of the photovoltaic storage system participating in the electricity market considering carbon trading according to claim 1 is characterized in that: The strategy optimization model aims to maximize total revenue; Its expression is: in, Representation Node The revenue of the station in the day-ahead electricity market, Representation Node The revenue of the station in the real-time electricity market; A node set representing a station; T is the total period; In the day-ahead electricity market t time i Node in j Discharge power of the quoted segment, In the day-ahead electricity market t time i Node in k Charging power in the quoted segment; For Node In the day-ahead electricity market t The node marginal electricity price at the time, For Node Station j The cost of the quotation period, which includes the site power generation cost and equipment loss cost; Indicates the duration of each period; Represents a real-time electricity market scenario The weight of Indicates the real-time electricity market s In the scenario t time i Node in j Discharge power of the quoted segment, Indicates the real-time electricity market s In the scenario t time i Node in k Charging power in the quoted segment; for i Nodes in real-time electricity markets t The node marginal electricity price at the time; and for i Solar storage system at node stations j Quote segment and k The declared price for power generation and energy storage charging in the quotation period; , For quotation The lower and upper limits of , For quotation The lower and upper limits of After optimizing and solving the strategy optimization model, the output declaration strategy includes the declared price of power generation of the photovoltaic storage system and the declared price of energy storage charging.

3. The method for optimizing the declaration strategy of the photovoltaic storage system participating in the electricity market considering carbon trading according to claim 1 is characterized in that: The strategy optimization model also includes a constraint model set based on the coordinated regulation of the photovoltaic storage system; wherein the coordinated regulation of the photovoltaic storage system includes: 1) The charging and discharging operation of the photovoltaic storage system is coordinated and regulated based on the photovoltaic processing curve, and the charge state of the photovoltaic storage system is controlled within a certain threshold range; 2) The photovoltaic storage system performs charging and discharging operations based on the peak and valley curve of electricity prices; 3) On the basis of meeting the photovoltaic output winning bid of the photovoltaic storage system, the remaining photovoltaic output is saved and sold in the real-time market stage.

4. The method for optimizing the declaration strategy of the photovoltaic storage system participating in the electricity market considering carbon trading according to claim 3 is characterized in that: In the constraint model set based on the coordinated regulation of the photovoltaic and energy storage systems, the expression is: Among them, the constraints 1-2 represent the equation relationship between the sum of charging and discharging of each quotation period of the photovoltaic-storage station and its internal photovoltaic-storage output; In the day-ahead electricity market t time i Node in j Discharge power of the quoted segment; express i The power sold by the node to the grid in the photovoltaic storage station; express t time i Discharge power of node energy storage; In the day-ahead electricity market t time i Node in k Charging power for the quoted segment, express t time i The power purchased by the node from the grid in the photovoltaic storage station; Constraints 3-7 represent the energy storage SOC constraints, where express t time i The node's state of charge; and express i The initial state of charge and final state of charge of the node; is the energy storage loss coefficient, and It is the energy storage charging efficiency and discharging efficiency; and They are i The total charging power and total discharging power of the node energy storage; is the rated capacity of energy storage; for i The charging power of the node photovoltaic to the energy storage system; and for i The lower and upper limits of the node's state of charge; Constraints 8-9 are used to constrain the storage energy to not be charged and discharged simultaneously through binary variables and sufficiently large numbers, where: is a binary variable; express i The upper limit of the power that a node can purchase from the grid in a solar-storage station; express i The discharge power limit of the node energy storage system; Article 10 is used to constrain the power sold by photovoltaic to the grid Instead of charging the energy storage The sum is not greater than the forecast value of photovoltaic output on the previous day .

5. The method for optimizing the declaration strategy of the photovoltaic storage system participating in the electricity market considering carbon trading according to claim 1 is characterized in that: The construction of the electricity-carbon coupling quotation model for conventional units comprises the following steps: Collect the actual and benchmark values ​​of carbon emission intensity of each node unit in the target area, as well as the carbon market price; Based on the bidding conditions of each node unit in the target area in different time periods, the electricity-carbon coupling bidding model of conventional units is constructed; its expression is: in, for Node conventional units in the quotation period The electricity-carbon coupling offer; express Node conventional units in the quotation period The original quote of express Carbon trading costs of node conventional units; express The actual value of carbon emission intensity of conventional units at the node, Actual benchmark value of carbon emission intensity of conventional units at the node; represents the carbon market price.

6. The method for optimizing the declaration strategy of the photovoltaic storage system participating in the electricity market considering carbon trading according to any one of claims 1 to 5, characterized in that: The method further includes: obtaining the current day-ahead power market clearing and the real-time power market clearing through the power market independent system operator in a preset collection cycle, and obtaining the node marginal electricity price of the day-ahead power market and the real-time power market and the winning bid electricity of each market member; Among them, the winning electricity volume in the day-ahead electricity market is settled using the day-ahead electricity price, and the difference between the optimized electricity volume in the real-time electricity market and the winning electricity volume in the day-ahead electricity market is settled using the real-time electricity price.

7. The method for optimizing the declaration strategy of the photovoltaic storage system participating in the electricity market considering carbon trading according to claim 6 is characterized in that: The collection period is set to 1 hour.

8. A declaration strategy optimization system for a photovoltaic storage system participating in the electricity market considering carbon trading, applying the declaration strategy optimization method for a photovoltaic storage system participating in the electricity market considering carbon trading as described in any one of claims 1 to 7, characterized in that: include: Data collection module, used for carbon emission characteristics of different units in the current solar-storage system, as well as current day-ahead power market clearing and real-time power market clearing; The electricity-carbon coupling quotation module is used to build an electricity-carbon coupling quotation model for conventional units based on the carbon emission characteristics of different units in the current photovoltaic storage system; A strategy optimization module is equipped with a strategy optimization model that aims to maximize total revenue and meet the operating constraints of the photovoltaic storage system; the strategy optimization module is used to optimize and solve the strategy optimization model based on the current day-ahead electricity market clearing and real-time electricity market clearing, based on the electricity-carbon coupling quotation model, and output the declaration strategy for the photovoltaic storage system to participate in the electricity market.

9. A device comprising a memory and a processor, wherein the memory stores computer-readable instructions, characterized in that: When the computer-readable instructions are executed by the processor, the processor executes all or part of the steps of the method for optimizing the declaration strategy for the participation of a photovoltaic storage system in the electricity market considering carbon trading as described in any one of claims 1 to 7.

10. A storage medium having computer-readable instructions stored thereon, characterized in that: When the computer-readable instructions are executed by the processor, all or part of the steps of the method for optimizing the declaration strategy of a photovoltaic storage system participating in the electricity market considering carbon trading as described in any one of claims 1 to 7 are implemented.

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