An optimization decision-making method, device and electronic equipment for source-load interactive power trading

Abstract

The present invention provides an optimized decision-making method, device and electronic equipment for source-load interactive power trading. The method includes: obtaining preset rule data, power station equipment data, demand planning data and power generation planning data; performing clearing calculation on the preset rule data and the power station equipment data according to set constraint condition parameters to obtain a first cleared power quantity, a second cleared power quantity and a clearing electricity price; determining a power quantity supply-demand ratio according to the demand planning data and the power generation planning data; determining a first target electricity price according to the power quantity supply-demand ratio and the clearing electricity price; determining the target power supply quantity of the power station according to the first target electricity price, the power generation cost of the power station and the first cleared power quantity; determining the target power demand quantity of the power station according to the first target electricity price, the power generation cost of the power station and the second cleared power quantity; and outputting the target power supply quantity and the target power demand quantity. The present invention improves the trading flexibility of source-load interaction.

Description

Technical Field

[0001] The present invention relates to the technical field of power generation, and particularly to an optimized decision-making method, device and electronic equipment for source-load interactive power trading. Background Art

[0002] With the reform of power policies, the marketization of electricity has become the future development trend, and power generation companies and industrial and commercial users will eventually all participate in power market transactions. Among them, the source-grid-load-storage integrated project has two independent market entities, namely power generation and users, which respectively participate in power market transactions. However, in the existing technology, only the power supply quantity or the power demand quantity of one entity is determined, and the power supply quantity and the power demand quantity cannot be determined simultaneously, resulting in low flexibility in source-load interactive transactions.

[0003] It can be seen that there is a problem of low flexibility in source-load interactive transactions in the existing technology. Summary of the Invention

[0004] Embodiments of the present invention provide an optimized decision-making method, device and electronic equipment for source-load interactive power trading to solve the problem of low flexibility in source-load interaction existing in the existing technology.

[0005] To solve the above problems, the present invention is implemented as follows:

[0006] In a first aspect, an optimized decision-making method for source-load interactive power trading provided by an embodiment of the present invention includes:

[0007] Obtain preset rule data, power station equipment data, demand planning data, and power generation planning data;

[0008] Perform clearing calculations on the preset rule data and the power station equipment data according to the set constraint condition parameters to obtain a first cleared power quantity, a second cleared power quantity, and a cleared power price, where the first cleared power quantity is used to represent the power supply quantity situation, and the second cleared power quantity is used to represent the power demand quantity situation;

[0009] Determine the power supply-demand ratio according to the demand planning data and the power generation planning data;

[0010] Determine a first target power price according to the power supply-demand ratio and the cleared power price;

[0011] Determine the target power supply quantity of the power station according to the first target power price, the power generation cost of the power station, and the first cleared power quantity;

[0012] Determine the target power demand quantity of the power station according to the first target power price, the power generation cost of the power station, and the second cleared power quantity;

[0013] Output the target power supply quantity and the target power demand quantity.

[0014] In a second aspect, an embodiment of the present invention further provides an optimized decision-making device for source-load interaction green power trading in the power market, including:

[0015] A first acquisition module, configured to acquire preset rule data, power station equipment data, demand planning data, and power generation planning data;

[0016] A first processing module, which performs clearing calculations on the preset rule data and the power station equipment data according to set constraint condition parameters to obtain a first cleared power quantity, a second cleared power quantity, and a cleared power price, where the first cleared power quantity is used to represent the supply power quantity situation, and the second cleared power quantity is used to represent the demand power quantity situation;

[0017] A first determination module, configured to determine a power quantity supply-demand ratio according to the demand planning data and the power generation planning data;

[0018] A second determination module, configured to determine a first target power price according to the power quantity supply-demand ratio and the cleared power price;

[0019] A third determination module, configured to determine a target power supply quantity of the power station according to the first target power price, the power generation cost of the power station, and the first cleared power quantity;

[0020] A fourth determination module, configured to determine a target power demand quantity of the power station according to the first target power price, the power generation cost of the power station, and the second cleared power quantity;

[0021] A first output module, configured to output the target power supply quantity and the target power demand quantity.

[0022] In a third aspect, an embodiment of the present invention further provides an electronic device, including a processor, a memory, and a computer program stored on the memory and executable on the processor. When the computer program is executed by the processor, the steps in the source-load interaction power trading optimized decision-making method described in the first aspect above are implemented.

[0023] In a fourth aspect, an embodiment of the present invention further provides a readable storage medium for storing a program, and when the program is executed by a processor, the steps in the source-load interaction power trading optimized decision-making method described in the first aspect above are implemented.

[0024] In the embodiment of the present invention, the first cleared power quantity, the second cleared power quantity, and the cleared power price are determined according to the preset rule data and the power station equipment data, the first target power price is determined through the power quantity supply-demand ratio and the cleared power price; the target power supply quantity is determined through the first target power price, the power generation cost of the power station, and the first cleared power quantity; the target power demand quantity is determined through the first target power price, the power generation cost of the power station, and the second cleared power quantity, thereby improving the trading flexibility of source-load interaction. Description of the Drawings

[0025] To more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the accompanying drawings required for the description of the embodiments of the present invention. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0026] Figure 1 It is a flowchart of an optimized decision-making method for source-load interactive power trading provided by an embodiment of the present invention;

[0027] Figure 2 It is a structural diagram of a source-load interactive power trading optimized decision-making system provided by an embodiment of the present invention;

[0028] Figure 3 It is a structural diagram of a market simulation function system provided by an embodiment of the present invention;

[0029] Figure 4 It is a flowchart for determining the power supply-demand ratio provided by an embodiment of the present invention;

[0030] Figure 5 It is a structural diagram of a supply-demand simulation analysis function system provided by an embodiment of the present invention;

[0031] Figure 6 It is a flowchart for determining the target power supply provided by an embodiment of the present invention;

[0032] Figure 7 It is a structural diagram of an auxiliary decision-making function system provided by an embodiment of the present invention;

[0033] Figure 8 It is a structural diagram of an execution monitoring and deviation warning function system provided by an embodiment of the present invention;

[0034] Figure 9 It is a structural diagram of a trading curve formulation function system provided by an embodiment of the present invention;

[0035] Figure 10 It is a structural diagram of an optimized decision-making device for source-load interactive power trading provided by an embodiment of the present invention;

[0036] Figure 11 It is a structural diagram of an electronic device provided by an embodiment of the present invention. Specific embodiments

[0037] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts belong to the scope of protection of the present invention.

[0038] Please refer to Figure 1 , Figure 1 which is a flowchart of an optimized decision-making method for source-load interactive power trading provided by an embodiment of the present invention. As Figure 1 shown, it includes the following steps:

[0039] Step 101: Obtain preset rule data, power station equipment data, demand planning data, and power generation planning data.

[0040] Among them, the preset rule data includes at least one of the preset market rules, market operation parameters, external power transmission plan and other operation constraint parameters; the power station equipment data includes at least one of the power grid power source model parameters, system load prediction parameters, bus load prediction parameters, simulated quotation parameters, power grid equipment constraint parameters, etc.; the demand planning data includes at least one of the load prediction parameters, development planning parameters, scale parameters, etc.; the power generation planning data includes at least one of the power system planning parameters, new energy prediction parameters, etc.

[0041] It can be understood that the preset rule data is used to represent the current demand situation, the electronic equipment data is used to represent the current power supply situation of the power station, the demand planning data is used to represent the predicted demand situation, and the power generation planning data is used to represent the predicted power supply situation of the power station.

[0042] It can be understood that since there are two main bodies in the power station, the source and the interactive power information are composed of two parts, namely the supply part of the power station (such as a new energy power station), and the demand part of the electrical equipment of the power station. By determining the power supply quantity of the supply part of the power station, that is, the target power supply quantity, and the power demand quantity of the electrical equipment of the power station, that is, the target power demand quantity, according to the first target electricity price and different power generation costs.

[0043] Step 102: Perform clearing calculations on the preset rule data and the power station equipment data according to the set constraint condition parameters to obtain the first clearing power quantity, the second clearing power quantity, and the clearing electricity price. The first clearing power quantity is used to represent the power supply quantity situation, and the second clearing power quantity is used to represent the power demand quantity situation.

[0044] Among them, the constraint condition parameters are used to represent the parameters for setting the safe operation of the system. The clearing calculation adopts Security-Constrained Unit Commitment (SCUC) and Security-Constrained Economic Dispatch (SCED).

[0045] It can be understood that the clearing calculation adopts SCUC and SCED based on the safe combination and economic dispatch of the power generation units in the power station. With the goal of minimizing the bidding combination and forced clearing of green energy, considering the safety of the power grid and the status of the power generation units, the cleared electricity quantity and cleared electricity price of the power generation units are calculated and formed. In this embodiment, the clearing calculation of SCUC and SCED is performed on the preset rule data and power station equipment data according to the set constraint condition parameters to determine the first cleared electricity quantity, the second cleared electricity quantity, and the cleared electricity price under the current demand situation.

[0046] Among them, the first cleared electricity quantity, the second cleared electricity quantity, and the cleared electricity price are predicted values, that is, the predicted power supply quantity, the predicted power demand quantity, and the predicted electricity price determined according to the preset rule data and power station equipment data through the clearing calculation.

[0047] Step 103: Determine the electricity supply-demand ratio according to the demand planning data and the power generation planning data.

[0048] It can be understood that the demand planning data is the predicted electricity demand data, and the power generation planning data is the predicted power supply electricity data. Taking the ratio of the demand planning data and the power generation planning data, the electricity supply-demand ratio is determined.

[0049] Step 104: Determine the first target electricity price according to the electricity supply-demand ratio and the cleared electricity price.

[0050] It can be understood that the power price of the power station is affected by the electricity supply-demand ratio. After determining the cleared electricity price, it is necessary to revise the cleared electricity price according to the electricity supply-demand ratio to determine the power price, that is, the first target electricity price.

[0051] Among them, when the electricity supply-demand ratio is greater than 1, it proves that the electricity quantity on the supply side is large and the electricity demand on the user side is small. It is expected that the power supply quantity of the new energy power station will decrease. At this time, the power price is lowered and the electricity demand on the user side is increased; when the electricity supply-demand ratio is less than 1, it proves that the electricity quantity on the supply side is small and the electricity demand on the user side is large. It is expected that the power supply quantity of the new energy power station will increase. At this time, the power price is increased and the electricity demand on the user side is decreased to improve the project revenue.

[0052] Exemplarily, let the power supply-demand ratio be A and the first target power price be x1. Set the first target power price as A×x1, such that when the power supply-demand ratio A is greater than 1, the first target power price is lowered; when the power supply-demand ratio A is less than 1, the first target power price is raised.

[0053] Step 105: Determine the target power supply of the power station according to the first target power price, the power generation cost of the power station, and the first cleared power quantity.

[0054] It should be understood that the power generation costs of different power sources in the power station's power are different. Determining the target power supply according to the first target power price, the power generation cost of the power station, and the first cleared power quantity will be described in detail in the subsequent embodiments.

[0055] Step 106: Determine the target power demand of the power station according to the first target power price, the power generation cost of the power station, and the second cleared power quantity.

[0056] It should be understood that the power generation costs of different power sources in the power station's power are different. Determining the target power demand according to the first target power price, the power generation cost of the power station, and the second cleared power quantity will be described in detail in the subsequent embodiments.

[0057] Step 106: Output the target power supply and the target power demand.

[0058] In the embodiment of the present invention, the first cleared power quantity, the second cleared power quantity, and the cleared power price are determined according to the preset rule data and the power station equipment data. The first target power price is determined through the power supply-demand ratio and the cleared power price; the target power supply is determined through the first target power price, the power generation cost of the power station, and the first cleared power quantity; the target power demand is determined through the first target power price, the power generation cost of the power station, and the second cleared power quantity, thereby improving the trading flexibility of source-load interaction.

[0059] Exemplarily, refer to Figure 2 and Figure 3 , Figure 2 is the structural diagram of the source-load interaction power trading optimization decision-making system provided by the embodiment of the present invention, Figure 3 is the structural diagram of the market simulation function system provided by the embodiment of the present invention, which is used to determine the source-load interaction power information.

[0060] Among them, as Figure 2As shown in the figure, the source-load interaction power trading optimization decision-making system includes a support decision-making layer, a simulation and modeling layer, and a management layer. The support decision-making layer includes an auxiliary decision-making function system; the simulation and modeling layer includes a market simulation and modeling function system and a supply-demand simulation and analysis function system; the management layer includes a medium- and long-term curve formulation function system and an execution monitoring and deviation warning function system. The source-load interaction power trading optimization decision-making system is used to determine the electricity prices, power supply quantities, and electricity demand quantities under different market conditions and different time scales of the source-grid-load-storage, and monitor the execution process of power supply and demand. See the subsequent embodiments for details.

[0061] Among them, as Figure 3 shown, the market simulation function system includes a simulation subsystem, an operation subsystem, and an analysis subsystem. The simulation subsystem is used to simulate market scenarios, obtain preset rule data and power station equipment data, and determine the market scenario conditions under the set conditions; the operation subsystem is used to perform SCUC and SCED clearing calculations based on the preset rule data and power station equipment data, determine the first cleared power quantity, the second cleared power quantity, and the cleared electricity price, and then determine the corresponding power supply and demand information according to the supply-demand situation, including electricity price, power supply quantity, and electricity demand quantity.

[0062] In one embodiment, as Figure 4 shown, determining the power quantity supply-demand ratio according to the demand planning data and the power generation planning data includes:

[0063] Determining the market power quantity supply parameter according to the power generation planning data;

[0064] Determining the market power quantity demand parameter according to the demand planning data;

[0065] Setting the ratio of the market power quantity supply parameter to the market power quantity demand parameter as the power quantity supply-demand ratio.

[0066] Among them, the power generation planning data includes at least one of power system planning parameters and new energy prediction parameters. According to the power system planning parameters and / or new energy prediction parameters, the market power quantity supply parameter is determined to be B.

[0067] Among them, the demand planning data includes at least one of load prediction parameters, development planning parameters, and scale parameters. According to the load prediction parameters, development planning parameters, and / or scale parameters, the market power quantity demand parameter is determined to be C.

[0068] Exemplarily, setting the ratio of the market power quantity supply parameter to the market power quantity demand parameter as the power quantity supply-demand ratio can be expressed by the following formula:

[0069]

[0070] Confirming the power quantity supply-demand ratio A through the above formula.

[0071] Exemplarily, refer to Figure 5 , Figure 5 which is the structural diagram of the supply-demand simulation analysis function system provided by an embodiment of the present invention. As Figure 5 shown, the supply-demand simulation analysis function system includes a supply analysis subsystem, a demand analysis subsystem, and a supply-demand evaluation subsystem. Among them, the supply analysis subsystem is used to determine the market power supply parameters according to the power generation plan data; the demand analysis subsystem is used to determine the market power demand parameters according to the demand plan data; the supply-demand evaluation subsystem is used to determine the power supply-demand ratio according to the market power supply parameters and the market power demand parameters.

[0072] In one embodiment, the power generation cost includes the basic power supply cost and the power supply cost of the energy storage device, and the target power supply amount includes the first target basic power supply amount and the first target power supply amount of the energy storage device;

[0073] Determining the target power supply amount of the power station according to the first target power price, the power generation cost of the power station, and the first cleared power amount includes:

[0074] Determining the initial basic power supply amount and the initial power supply amount of the energy storage device, and the sum of the initial basic power supply amount and the initial power supply amount of the energy storage device is the first cleared power amount;

[0075] Multiplying the difference between the first target power price and the basic power supply cost by the initial basic power supply amount to obtain the basic power supply revenue;

[0076] Multiplying the difference between the first target power price and the power supply cost of the energy storage device by the initial power supply amount of the energy storage device to obtain the power supply revenue of the energy storage device;

[0077] In the case where the basic power supply revenue and the power supply revenue of the energy storage device are the largest, setting the initial basic power supply amount as the first target basic power supply amount and setting the initial power supply amount of the energy storage device as the first target power supply amount of the energy storage device.

[0078] It can be understood that, as Figure 6 shown, the power supply of the power station includes different components, basic power supply and power supply of the energy storage device. The power supply costs of different components are different. When the power station supplies power, it is necessary to consider the costs of different components to determine the power supply amounts of different components.

[0079] It can be understood that the power supply time period is divided into three different time periods: peak, valley, and normal time periods. The power generation costs in different time periods are different. The target power supply amount needs to be calculated according to the power generation costs in different time periods to obtain the target power supply amount in the current time period.

[0080] Exemplarily, refer to Figure 7 , Figure 7It is the structural diagram of the auxiliary decision-making function system provided by the embodiments of the present invention. As Figure 7 shown, the auxiliary decision-making function system includes a price prediction subsystem, a cost analysis subsystem, and an evaluation subsystem. The price prediction subsystem is used to determine the first target electricity price; the cost analysis subsystem is used to determine the power generation costs of different power generation parts of the power station; the evaluation subsystem is used to determine the target power supply volume with the maximization of the benefits of the source-network-load-storage integration project.

[0081] In this embodiment, by determining the first target basic power supply volume and the first target power supply volume of the energy storage device when the sum of the basic power supply benefits and the power supply benefits of the energy storage device is the largest, the accuracy of the power supply volume prediction is improved, and the optimal scheduling of the source-network-load-storage integration project participation is realized.

[0082] In one embodiment, the power generation cost includes the power consumption cost of the energy storage device and the adjustable load cost, and the target power consumption volume includes the first target power consumption volume of the energy storage device and the first adjustable load power volume;

[0083] Determining the target power consumption volume of the power station according to the first target electricity price, the power generation cost of the power station, and the second cleared power volume includes:

[0084] Determining the initial power consumption volume of the energy storage device and the initial adjustable load power volume, and the sum of the initial power consumption volume of the energy storage device and the initial adjustable load power volume is the second cleared power volume;

[0085] Multiplying the difference between the first target electricity price and the power consumption cost of the energy storage device by the initial power consumption volume of the energy storage device to obtain the power consumption expenditure of the energy storage device;

[0086] Multiplying the difference between the first target electricity price and the adjustable load cost by the initial adjustable load power volume to obtain the adjustable load power volume expenditure;

[0087] When the power consumption expenditure of the energy storage device and the adjustable load power volume expenditure are the smallest, setting the initial power consumption volume of the energy storage device as the first target power consumption volume of the energy storage device and setting the initial adjustable load power volume as the first adjustable load power volume.

[0088] It can be understood that the power consumption of the power station includes different components, the power consumption of the energy storage device and the adjustable load power volume, and the power consumption costs of different components are different. When the power station supplies power, it is necessary to consider the costs of different components to determine the power consumption volumes of different components.

[0089] It can be understood that the power consumption time period is divided into three different time periods: peak, valley, and normal time periods. The power consumption costs of different time periods are different, and the target power consumption volume needs to be calculated according to the power consumption costs of different time periods to obtain the target power consumption volume of the current time period.

[0090] Exemplarily, refer to Figure 7 , Figure 7 which is the structural diagram of the auxiliary decision-making function system provided by the embodiment of the present invention. As shown in Figure 7 , the auxiliary decision-making function system includes a price prediction subsystem, a cost analysis subsystem, and an evaluation subsystem. The price prediction subsystem is used to determine the first target electricity price; the cost analysis subsystem is used to determine the power generation costs of different power generation parts of the power station; the evaluation subsystem is used to determine the target electricity demand with the maximum benefit of the source-network-load-storage integration project, that is, to maximize the benefit under the condition of minimizing the total expenditure.

[0091] In this embodiment, by determining the first target energy storage device electricity demand and the first adjustable load electricity quantity when the electricity demand expenditure of the energy storage device and the adjustable load electricity quantity expenditure are minimized, the accuracy of the electricity demand prediction is improved, and the optimal scheduling of the source-network-load-storage integration project parameters is realized.

[0092] In one embodiment, the target power supply quantity includes the first target energy storage device power supply quantity, and the target electricity demand includes the first target energy storage device electricity demand and the first adjustable load electricity quantity;

[0093] The first target energy storage device power supply quantity is less than or equal to the first threshold, the first target energy storage device electricity demand is less than or equal to the first threshold, and the first target adjustable load quantity is less than or equal to the second threshold.

[0094] It can be understood that the power supply of the energy storage device belongs to a non-primary power supply method, and the power supply of the energy storage device is a supplementary part of the basic power supply. Among them, the total power supply quantity when the power station supplies power is greater than the part of the power supply of the energy storage device.

[0095] It can be understood that the electricity demand of the energy storage device belongs to a non-primary electricity demand method, and the electricity demand of the energy storage device is a supplementary part. It can be understood that the total electricity demand is greater than the part of the electricity demand of the energy storage device.

[0096] Among them, the first threshold is the maximum power supply quantity when the power station supplies power to the energy storage device, or the first threshold is the maximum electricity demand when the power station requires electricity for the energy storage device.

[0097] It can be understood that the adjustable load electricity quantity is the main electricity demand method, and the adjustable load electricity quantity can be adjusted according to the electricity price to obtain greater benefits. Among them, the second threshold is the maximum electricity demand when the power station requires the adjustable load electricity quantity.

[0098] In one embodiment, after outputting the target power supply quantity and the target electricity demand, the method further includes:

[0099] Obtaining execution data within a first set time, where the execution data includes the difference between the actual power supply quantity and the target power supply quantity;

[0100] When the difference is greater than the third threshold, set the sum of the first target electricity price and the first set value as the second target electricity price;

[0101] When the difference is less than the fourth threshold, set the difference between the first target price and the second set value as the second target electricity price;

[0102] Output the second target electricity price.

[0103] Among them, the first set time can be set to one day, or two days or one week, etc., and can be flexibly configured according to market conditions.

[0104] It can be understood that after determining the power supply quantity and the first target price of the power station to participate in power supply and / or power demand, the market will execute and receive the power supply and / or power demand of the power station according to the actual situation, and the power supply quantity demand for the power station is different under different market demand situations.

[0105] Among them, when the market's power supply demand for the power station is small, that is, when the difference is greater than the third threshold, set the sum of the first target electricity price and the first set value as the second target electricity price. Among them, the third threshold is a preset fluctuation value. When the difference is less than or equal to the third threshold, it is considered that the market supply and demand fluctuate within a small range at this time, and there is no impact on the overall revenue and power supply situation; when the difference is greater than the third threshold, it is considered that the supply and demand fluctuation exceeds the expectation at this time, and the price needs to be adjusted to maintain the overall revenue stability.

[0106] Among them, when the market's power supply demand for the power station is large, that is, when the difference is less than the fourth threshold, set the difference between the first target price and the second set value as the second target electricity price. Among them, the fourth threshold is a preset fluctuation value, and the fourth threshold can be the same as or different from the third threshold. When the difference is greater than or equal to the fourth threshold, it is considered that the market supply and demand fluctuate within a small range at this time, and there is no impact on the overall revenue and power supply situation; when the difference is less than the fourth threshold, it is considered that the supply and demand fluctuation exceeds the expectation at this time, and the price needs to be adjusted to maintain the overall revenue stability.

[0107] It can be understood that after determining the second target price, the second target basic power supply quantity, the second target energy storage device power supply quantity, the second target energy storage device power demand quantity, and the second target adjustable load power quantity can be re-determined according to the second target price, so as to make the estimation of the power supply quantity and power demand quantity of the power station more accurate.

[0108] Among them, the second target basic power supply quantity, the second target energy storage device power supply quantity, the second target energy storage device power demand quantity, and the second target adjustable load power quantity are determined by the second target price, the cost of electrons, and the cleared power quantity.

[0109] Exemplarily, refer to Figure 8 , Figure 8It is the structural diagram of the system for implementing the monitoring and deviation warning functions provided by the embodiments of the present invention. As Figure 8 shown, the system for implementing the monitoring and deviation warning functions includes a query management subsystem, an execution monitoring subsystem, and a deviation warning subsystem. Among them, the query management subsystem is used to store different contracts and provide contract management and query services; the execution monitoring subsystem is used to track and analyze the execution status of different contracts to determine execution data; the deviation warning subsystem is used to determine the second target electricity price based on the execution data and / or issue a warning.

[0110] In one embodiment, the method further includes:

[0111] Determine the total power supply within the second time according to the demand planning data and the power generation planning data;

[0112] Determine the distribution curve of the total power supply within different time periods of the second time, where the different time periods are used to represent the peak, valley, and normal time periods of electricity consumption;

[0113] Output the distribution curve.

[0114] Exemplarily, refer to Figure 9 , Figure 9 It is the structural diagram of the transaction curve formulation function system provided by the embodiments of the present invention. As Figure 9 shown, the curve formulation function system includes a medium- and long-term pre-formulation subsystem and a short-term curve decomposition subsystem. Among them, the medium- and long-term pre-formulation subsystem is used to determine the total medium- and long-term electricity quantity and the total power supply quantity during the peak, valley, and normal time periods of the medium- and long-term; the short-term curve decomposition subsystem decomposes the total medium- and long-term electricity quantity into a curve within a short time to obtain the contract curve for the short time. Among them, the short time can be a day or a week

[0115] Among them, the second time is monthly, semi-annual, or annual, which is the time for the medium- and long-term and is determined according to the cycle situation of the market.

[0116] It can be understood that according to the demand planning data and the power generation planning data, the expected total power supply within the second time can be determined, including the peak-time power supply quantity, valley-time power supply quantity, and normal-time power supply quantity. According to the peak-time power supply quantity, valley-time power supply quantity, and normal-time power supply quantity, determine the power supply quantity of the power station at different times, that is, the medium- and long-term power supply quantity, and then determine the distribution curve of the total power supply and the total power demand within different time periods of the second time.

[0117] It can be understood that the medium- and long-term distribution curve is disassembled according to the new energy prediction parameters and the load prediction parameters to determine the peak, valley, and normal-time electricity quantities at the third time within the second time, and then further subdivide the electricity quantity for each time period. Among them, the third time can be a relatively short time such as 15 minutes.

[0118] Please refer to Figure 10 ,Figure 10 This is the structural diagram of an optimized decision-making device for source-load interactive power trading provided by an embodiment of the present invention. As Figure 10 shown, the optimized decision-making device 1000 for source-load interactive power trading includes:

[0119] A first acquisition module 1001, configured to acquire preset rule data, power station equipment data, demand planning data, and power generation planning data;

[0120] A first processing module 1002, configured to perform clearing calculations on the preset rule data and the power station equipment data according to set constraint condition parameters to obtain a first cleared power quantity, a second cleared power quantity, and a cleared power price, where the first cleared power quantity is used to represent the supply power quantity situation, and the second cleared power quantity is used to represent the demand power quantity situation;

[0121] A first determination module 1003, configured to determine a power quantity supply-demand ratio according to the demand planning data and the power generation planning data;

[0122] A second determination module 1004, configured to determine a first target power price according to the power quantity supply-demand ratio and the cleared power price;

[0123] A third determination module 1005, configured to determine the target power supply quantity of the power station according to the first target power price, the power generation cost of the power station, and the first cleared power quantity;

[0124] A fourth determination module 1006, configured to determine the target power demand quantity of the power station according to the first target power price, the power generation cost of the power station, and the second cleared power quantity;

[0125] A first output module 1007, configured to output the target power supply quantity.

[0126] In one embodiment, the first determination module 1003 includes:

[0127] A first determination unit, configured to determine a market power quantity supply parameter according to the power generation planning data;

[0128] A second determination unit, configured to determine a market power quantity demand parameter according to the demand planning data;

[0129] A third determination unit, configured to set the ratio of the market power quantity supply parameter to the market power quantity demand parameter as the power quantity supply-demand ratio.

[0130] In one embodiment, the power generation cost includes a basic power supply cost and a power supply cost of an energy storage device, and the target power supply quantity includes a first target basic power supply quantity and a first target power supply quantity of the energy storage device;

[0131] The third determination module 1005 includes:

[0132] A fourth determination unit, configured to determine an initial basic power supply amount and an initial power supply amount of an energy storage device, where the sum of the initial basic power supply amount and the initial power supply amount of the energy storage device is the first cleared power amount;

[0133] A fifth determination unit, configured to multiply a difference between the first target electricity price and the basic power supply cost by the initial basic power supply amount to obtain a basic power supply revenue;

[0134] A sixth determination unit, configured to multiply a difference between the first target electricity price and the power supply cost of the energy storage device by the initial power supply amount of the energy storage device to obtain a power supply revenue of the energy storage device;

[0135] A seventh determination unit, configured to set the initial basic power supply amount as the first target basic power supply amount and set the initial power supply amount of the energy storage device as the first target power supply amount of the energy storage device when the basic power supply revenue and the power supply revenue of the energy storage device are the maximum.

[0136] In one embodiment, the power generation cost includes the power demand cost of the energy storage device and the adjustable load cost, and the target power demand includes the first target power demand of the energy storage device and the first adjustable load power amount;

[0137] The fourth determination module 1006 includes:

[0138] An eighth determination unit, configured to determine an initial power demand of the energy storage device and an initial adjustable load power amount, where the sum of the initial power demand of the energy storage device and the initial adjustable load power amount is the second cleared power amount;

[0139] A ninth determination unit, configured to multiply a difference between the first target electricity price and the power demand cost of the energy storage device by the initial power demand of the energy storage device to obtain a power demand expenditure of the energy storage device;

[0140] A tenth determination unit, configured to multiply a difference between the first target electricity price and the adjustable load cost by the initial adjustable load power amount to obtain an adjustable load power amount expenditure;

[0141] An eleventh determination unit, configured to set the initial power demand of the energy storage device as the first target power demand of the energy storage device and set the initial adjustable load power amount as the first adjustable load power amount when the power demand expenditure of the energy storage device and the adjustable load power amount expenditure are the minimum.

[0142] In one embodiment, the target power supply amount includes the first target power supply amount of the energy storage device, and the target power demand includes the first target power demand of the energy storage device and the first adjustable load power amount;

[0143] The power supply of the first target energy storage device is less than or equal to a first threshold value, the power demand of the first target energy storage device is less than or equal to the first threshold value, and the adjustable load of the first target is less than or equal to a second threshold value.

[0144] In one embodiment, after the first output module 1007, the device further includes:

[0145] A second acquisition module, configured to acquire execution data within a first set time, where the execution data includes a difference between an actual power supply and a target power supply;

[0146] A second processing module, configured to set the sum of the first target power price and a first set value as a second target power price when the difference is greater than a third threshold value;

[0147] A third processing module, configured to set the difference between the first target price and a second set value as a second target power price when the difference is less than a fourth threshold value;

[0148] A second output module, configured to output the second target power price.

[0149] In one embodiment, the device further includes:

[0150] A fourth determination module, configured to determine a total power supply within a second time according to the demand planning data and the power generation planning data;

[0151] A fifth determination module, configured to determine a distribution curve of the total power supply in different time periods within the second time, where the different time periods are used to represent peak, valley, and normal power consumption periods;

[0152] The source-load interaction power trading optimization decision-making device provided by the embodiments of the present invention can implement each process of the above-mentioned source-load interaction power trading optimization decision-making method, and the technical features correspond one by one and can achieve the same technical effects. To avoid repetition, details are not described here again.

[0153] It should be noted that the source-load interaction power trading optimization decision-making device in the embodiments of the present invention may be a device, or a component, an integrated circuit, or a chip in an electronic device.

[0154] The embodiments of the present invention further provide an electronic device. Refer to Figure 11 , Figure 11 is a schematic structural diagram of an electronic device provided by the embodiments of the present invention. The electronic device includes a memory 1101, a processor 1102, and a program or instruction stored on the memory 1101 and running. When the program or instruction is executed by the processor 1102, it can implement Figure 1 any step in the corresponding method embodiment and achieve the same beneficial effects, which are not described here again.

[0155] The processor 1102 may be a CPU, an ASIC, an FPGA or a GPU.

[0156] Those skilled in the art will appreciate that all or part of the steps of implementing the above-mentioned embodiment method can be completed by hardware associated with program instructions, and the program can be stored in a readable medium.

[0157] The embodiment of the present invention further provides a readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the above Figure 1 The corresponding steps in the source-load interactive power trading optimization decision-making method embodiment can achieve the same technical effect, and will not be repeated here to avoid repetition. The storage medium is, for example, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0158] The terms "first", "second" etc. in the embodiments of the present invention are used to distinguish similar objects, and need not be used to describe a specific order or sequential order. In addition, the terms "include" and "have" and any variation thereof are intended to cover non-exclusive inclusions, for example, the process, method, system, product or equipment comprising a series of steps or units need not be limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or equipment. In addition, "and / or" is used in the present application to represent at least one of the connected objects, such as A and / or B and / or C, indicating that A alone, B alone, C alone, and A and B all exist, B and C all exist, A and C all exist, and 7 situations in which A, B and C all exist.

[0159] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

[0160] Through the description of the above embodiments, those skilled in the art can clearly understand that the above embodiment methods can be implemented by means of software plus a necessary general hardware platform. Of course, they can also be implemented by hardware, but in many cases, the former is a better implementation method. Based on such an understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions for causing a terminal (which can be a mobile phone, computer, server, air conditioner, or a second terminal device, etc.) to execute the methods of various embodiments of the present application.

[0161] The embodiments of the present application are described above in conjunction with the accompanying drawings. However, the present application is not limited to the above specific embodiments. The above specific embodiments are merely illustrative and not restrictive. Under the inspiration of the present application, those of ordinary skill in the art can also make many forms without departing from the purpose of the present application and the scope protected by the claims, and all of them belong to the protection scope of the present application.

Claims

1. An optimization decision-making method for source-load interactive power trading, characterized in that, Including: Obtain preset rule data, power station equipment data, demand planning data, and power generation planning data; Perform clearing calculations on the preset rule data and the power station equipment data according to the set constraint condition parameters to obtain a first cleared power quantity, a second cleared power quantity, and a cleared electricity price. The first cleared power quantity is used to represent the supply power quantity situation, and the second cleared power quantity is used to represent the demand power quantity situation; Determine the power supply-demand ratio according to the demand planning data and the power generation planning data; Determine a first target electricity price according to the power supply-demand ratio and the cleared electricity price; Determine the target power supply quantity of the power station according to the first target electricity price, the power generation cost of the power station, and the first cleared power quantity; Determine the target power demand quantity of the power station according to the first target electricity price, the power generation cost of the power station, and the second cleared power quantity; Output the target power supply quantity and the target power demand quantity; The power generation cost includes a basic power supply cost and a power supply cost of an energy storage device. The target power supply quantity includes a first target basic power supply quantity and a first target power supply quantity of the energy storage device; The step of determining the target power supply quantity of the power station according to the first target electricity price, the power generation cost of the power station, and the first cleared power quantity includes: Determine an initial basic power supply quantity and an initial power supply quantity of the energy storage device. The sum of the initial basic power supply quantity and the initial power supply quantity of the energy storage device is the first cleared power quantity; Multiply the difference between the first target electricity price and the basic power supply cost by the initial basic power supply quantity to obtain a basic power supply revenue; Multiply the difference between the first target electricity price and the power supply cost of the energy storage device by the initial power supply quantity of the energy storage device to obtain a power supply revenue of the energy storage device; When the basic power supply revenue and the power supply revenue of the energy storage device are the largest, set the initial basic power supply quantity as the first target basic power supply quantity, and set the initial power supply quantity of the energy storage device as the first target power supply quantity of the energy storage device; The power generation cost includes a power demand cost of the energy storage device and an adjustable load cost. The target power demand quantity includes a first target power demand quantity of the energy storage device and a first adjustable load power quantity; The step of determining the target power demand quantity of the power station according to the first target electricity price, the power generation cost of the power station, and the second cleared power quantity includes: Determine an initial power demand quantity of the energy storage device and an initial adjustable load power quantity. The sum of the initial power demand quantity of the energy storage device and the initial adjustable load power quantity is the second cleared power quantity; Multiply the difference between the first target electricity price and the power demand cost of the energy storage device by the initial power demand quantity of the energy storage device to obtain a power demand expenditure of the energy storage device; Multiply the difference between the first target electricity price and the adjustable load cost by the initial adjustable load power quantity to obtain an adjustable load power quantity expenditure; When the power demand expenditure of the energy storage device and the adjustable load power quantity expenditure are the smallest, set the initial power demand quantity of the energy storage device as the first target power demand quantity of the energy storage device, and set the initial adjustable load power quantity as the first adjustable load power quantity.

2. The method according to claim 1, wherein The step of determining the power supply-demand ratio according to the demand planning data and the power generation planning data includes: Determine the market power supply parameters according to the power generation planning data; Determine the market power demand parameters according to the demand planning data; Set the ratio of the market power supply parameters to the market power demand parameters as the power supply - demand ratio.

3. The method according to claim 1, characterized in that, The target power supply amount includes the power supply amount of the first target energy storage device, and the target power demand amount includes the power demand amount of the first target energy storage device and the first adjustable load power amount; The power supply amount of the first target energy storage device is less than or equal to the first threshold, the power demand amount of the first target energy storage device is less than or equal to the first threshold, and the first target adjustable load amount is less than or equal to the second threshold.

4. The method according to claim 1, characterized in that, After outputting the target power supply amount and the target power demand amount, the method further includes: Obtain the execution data within the first set time, where the execution data includes the difference between the actual power supply amount and the target power supply amount; When the difference is greater than the third threshold, set the sum of the first target power price and the first set value as the second target power price; When the difference is less than the fourth threshold, set the difference between the first target power price and the second set value as the second target power price; Output the second target power price.

5. The method according to claim 1, characterized in that, The method further includes: Determine the total power supply amount within the second time according to the demand planning data and the power generation planning data; Determine the distribution curve of the total power supply amount in different time periods within the second time, where the different time periods are used to represent the peak, valley, and normal periods of electricity consumption; Output the distribution curve.

6. An optimized decision-making device for source-load interactive power trading, characterized in that, Includes: The first acquisition module is used to acquire the preset rule data, power station equipment data, demand planning data, and power generation planning data; The first processing module performs clearing calculations on the preset rule data and the power station equipment data according to the set constraint condition parameters to obtain the first cleared power amount, the second cleared power amount, and the cleared power price. The first cleared power amount is used to represent the power supply situation, and the second cleared power amount is used to represent the power demand situation; The first determination module is used to determine the power supply - demand ratio according to the demand planning data and the power generation planning data; The second determination module is used to determine the first target power price according to the power supply - demand ratio and the cleared power price; The third determination module is used to determine the target power supply amount of the power station according to the first target power price, the power generation cost of the power station, and the first cleared power amount; The fourth determination module is used to determine the target power demand amount of the power station according to the first target power price, the power generation cost of the power station, and the second cleared power amount; The first output module is used to output the target power supply amount and the target power demand amount; The power generation cost includes the basic power supply cost and the power supply cost of the energy storage device, and the target power supply amount includes the first target basic power supply amount and the power supply amount of the first target energy storage device; The third determination module includes: The fourth determination unit is used to determine the initial basic power supply amount and the initial power supply amount of the energy storage device, and the sum of the initial basic power supply amount and the initial power supply amount of the energy storage device is the first cleared power amount; The fifth determination unit is used to multiply the difference between the first target power price and the basic power supply cost by the initial basic power supply amount to obtain the basic power supply revenue; A sixth determination unit, configured to multiply a difference between the first target electricity price and the power supply cost of the energy storage device by the initial power supply amount of the energy storage device to obtain the power supply revenue of the energy storage device; A seventh determination unit, configured to set the initial basic power supply amount as the first target basic power supply amount and set the initial power supply amount of the energy storage device as the first target power supply amount of the energy storage device when the basic power supply revenue and the power supply revenue of the energy storage device are the maximum; The power generation cost includes the power demand cost of the energy storage device and the adjustable load cost, and the target power demand includes the first target power demand of the energy storage device and the first adjustable load power; The fourth determination module includes: An eighth determination unit, configured to determine the initial power demand of the energy storage device and the initial adjustable load power, and a sum of the initial power demand of the energy storage device and the initial adjustable load power is the second cleared power amount; A ninth determination unit, configured to multiply a difference between the first target electricity price and the power demand cost of the energy storage device by the initial power demand of the energy storage device to obtain the power demand expenditure of the energy storage device; A tenth determination unit, configured to multiply a difference between the first target electricity price and the adjustable load cost by the initial adjustable load power to obtain the adjustable load power expenditure; An eleventh determination unit, configured to set the initial power demand of the energy storage device as the first target power demand of the energy storage device and set the initial adjustable load power as the first adjustable load power when the power demand expenditure of the energy storage device and the adjustable load power expenditure are the minimum; 7. An electronic device, characterized in that, Comprising a processor, a memory, and a computer program stored on the memory and executable on the processor, and when the computer program is executed by the processor, the steps in the source-load interactive power trading optimization decision method according to any one of claims 1 to 5 are implemented.

8. A readable storage medium for storing a program, characterized in that, When the program is executed by the processor, the steps in the source-load interactive power trading optimization decision method according to any one of claims 1 to 5 are implemented.

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