A power configuration method and device for a green electricity direct connection project

Abstract

The application discloses a power configuration method and device for a green electricity direct connection project, and relates to the technical field of electric power. The method comprises the following steps: acquiring prediction data; constructing a first power configuration planning model comprising a target function and a first constraint condition based on the prediction data; the decision variable of the first power configuration planning model comprises a new energy storage configuration scale; the target function is used for minimizing the comprehensive resource consumption required by a load side for using each degree of electricity in the whole life cycle of the green electricity direct connection project; the first constraint condition comprises an energy configuration scale constraint condition, a power balance constraint condition, a storage charging and discharging constraint condition, a load constraint condition and a power constraint condition; the first power configuration planning model is solved to obtain a first target power configuration scheme; and the first target power configuration scheme comprises a new energy storage first target configuration scale. The power configuration scheme obtained by the application can match the actual operation demand and has low resource consumption.

Description

Technical Field

[0001] This application relates to the field of power technology, and in particular to a power configuration method and apparatus for a green electricity direct connection project. Background Technology

[0002] The service cycle of a power supply project is usually very long, with a full life cycle of 20 to 25 years. During this period, it will be affected by fluctuations in many factors, such as load fluctuations and fluctuations in renewable energy output. Therefore, the actual operating demand of a power supply project has time-series fluctuation characteristics, and this is also true for green power direct connection projects. At present, the power configuration for green power direct connection projects is usually configured with a slightly higher standard of operating demand, or configured with the goal of optimizing the project's resource consumption. Although the former can meet the actual operating demand, it increases the resource consumption of power supply. Although the latter can achieve the optimal resource consumption, it cannot guarantee the actual operating demand. Therefore, existing technologies are difficult to balance in terms of guaranteeing the actual operating demand and reducing resource consumption. Summary of the Invention

[0003] This application provides a power configuration method and apparatus for a green electricity direct connection project to solve or at least partially solve the defects or deficiencies in related technologies.

[0004] Firstly, this application provides a power configuration method for a green power direct connection project, the power configuration method for the green power direct connection project including: Acquire forecast data; the forecast data includes actual load power forecast data, new energy output coefficient forecast data, new energy surplus power grid connection unit electricity resource consumption forecast data, and grid power unit electricity resource consumption forecast data within the target period; Based on the predicted data, a first power allocation planning model is constructed, including an objective function and a first constraint condition. The decision variables of the first power allocation planning model include the scale of new energy storage configuration. The objective function is used to minimize the comprehensive resource consumption required for the load side to use each kilowatt-hour of electricity during the entire life cycle of the green electricity direct connection project. The first constraint condition includes energy configuration scale constraint condition, power balance constraint condition, energy storage charging and discharging constraint condition, load constraint condition, and power consumption constraint condition. Solve the first power allocation planning model to obtain the first target power allocation scheme; the first target power allocation scheme includes the first target allocation scale of new energy storage.

[0005] Secondly, this application provides a power configuration device for a green electricity direct connection project, the power configuration device for the green electricity direct connection project comprising: The data acquisition module is used to acquire forecast data; the forecast data includes actual load power forecast data, new energy output coefficient forecast data, new energy surplus power grid connection unit electricity resource consumption forecast data, and grid power unit electricity resource consumption forecast data within the target period. The model building module is used to construct a first power allocation planning model based on the predicted data, including an objective function and a first constraint condition. The decision variables of the first power allocation planning model include the scale of new energy storage configuration. The objective function is used to minimize the comprehensive resource consumption required for the load side to use each kilowatt-hour of electricity during the entire life cycle of the green electricity direct connection project. The first constraint condition includes energy configuration scale constraint condition, power balance constraint condition, energy storage charging and discharging constraint condition, load constraint condition, and power consumption constraint condition. The model solving module is used to solve the first power configuration planning model to obtain the first target power configuration scheme; the first target power configuration scheme includes the first target configuration scale of new energy storage.

[0006] According to the specific embodiments provided in this application, the following technical effects are disclosed: This application provides a power configuration method and apparatus for a green power direct connection project. Based on predicted data of load, renewable energy output coefficient, renewable energy surplus power consumption per unit of electricity fed into the grid, and grid power consumption per unit of electricity within a target time period, a first power configuration planning model is constructed. This model fully considers the time-series characteristics of load curves, renewable energy output characteristics, and electricity price fluctuations, thereby accurately simulating the actual operating scenario of the green power direct connection project. This results in a higher degree of matching between the first power configuration scheme obtained from solving the first power configuration planning model and actual operating needs. Furthermore, the first power configuration planning model aims to minimize the comprehensive resource consumption required per kilowatt-hour of electricity used by the load side throughout the entire lifecycle of the green power direct connection project. It sets constraints on energy configuration scale, power balance, energy storage charging and discharging, load requirements, and electricity requirements. Therefore, the first power configuration scheme obtained from solving the first power configuration planning model can minimize resource consumption while meeting these constraints. In summary, this application can solve for a power configuration scheme that highly matches actual operational needs and minimizes resource consumption under various constraints. This power configuration scheme can achieve low resource consumption while ensuring actual operational needs. Attached Figure Description

[0007] Figure 1 This application provides a flowchart illustrating a power configuration method for a green electricity direct connection project according to one embodiment; Figure 2A functional module diagram of a power configuration device for a green electricity direct connection project provided in an embodiment of this application; Figure 3 This is a schematic diagram of the structure of a computer device provided in an embodiment of this application. Detailed Implementation

[0008] The present application will now be described in further detail with reference to the accompanying drawings and specific embodiments.

[0009] In one exemplary embodiment, such as Figure 1 As shown, a power configuration method for a green electricity direct connection project is provided. This method is executed by computer equipment, specifically by a terminal or server alone, or by both a terminal and a server. The terminal can be, but is not limited to, various desktop computers, laptops, tablets, etc. The server can be a standalone server, a server cluster consisting of multiple servers, or a cloud server.

[0010] In the embodiments of this application, such as Figure 1 As shown, the power configuration method for this green electricity direct connection project includes the following steps 101 to 103. Wherein: Step 101: Obtain forecast data; the forecast data includes actual load power forecast data, renewable energy output coefficient forecast data, renewable energy surplus power grid connection unit electricity resource consumption forecast data, and grid power unit electricity resource consumption forecast data within the target period.

[0011] Optionally, the target period can be 8760 hours, or one year.

[0012] Optionally, the actual load power prediction data for the target period can be determined by constructing an actual load power curve model for the target period based on the production plan of the load subject (e.g., enterprise, unit, etc.), and using this actual load power curve model as the actual load power prediction data for the target period.

[0013] Optionally, the predicted data of the renewable energy output coefficient within the target period can be determined by fitting the measured data of the wind measurement tower and photovoltaic meteorological station, or the historical data of the renewable energy output coefficient, to obtain the predicted data of the renewable energy output coefficient within the target period.

[0014] Optionally, the predicted energy consumption per unit of renewable energy surplus electricity fed into the grid during the target period can be determined in the following way: using a LightGBM (Light Gradient Boosting Machine) model, with historical data on energy consumption per unit of renewable energy surplus electricity fed into the grid, load curve models, renewable energy output and weather data as inputs, the LightGBM model is used to predict the predicted energy consumption per unit of renewable energy surplus electricity fed into the grid during the target period.

[0015] Optionally, the predicted power consumption data of the grid unit within the target period can be determined by weighting historical power consumption data of different power supply methods (such as medium- and long-term trading power supply and spot market power supply).

[0016] The above forecast data can reflect the time-series characteristics of load, renewable energy output coefficient, renewable energy surplus power grid connection unit electricity consumption, and grid power unit electricity consumption, that is, the fluctuation characteristics in time series.

[0017] The prediction methods for the above-mentioned prediction data are not limited to those provided above. Other prediction methods commonly used in the field can also be used, such as prediction based on historical data and considering changing factors. This application does not specifically limit this method.

[0018] Step 102: Based on the predicted data, construct a first power allocation planning model including an objective function and a first constraint condition. The decision variables of the first power allocation planning model include the scale of new energy storage configuration. The objective function is used to minimize the comprehensive resource consumption required for the load side to use each kilowatt-hour of electricity throughout the entire life cycle of the green electricity direct connection project. The first constraint condition includes energy allocation scale constraint condition, power balance constraint condition, energy storage charging and discharging constraint condition, load constraint condition, and power consumption constraint condition.

[0019] The first power configuration planning model is used to calculate the supporting new energy storage configuration scale under the constraint of the first constraint condition, with the goal of minimizing the comprehensive resource consumption required for each kilowatt-hour of electricity used by the load side during the entire life cycle of the green electricity direct connection project (hereinafter referred to as the comprehensive resource consumption of green electricity per kilowatt-hour on the load side). This scale includes the new energy configuration scale (i.e. the number of new energy production equipment, such as the number of wind turbines and / or photovoltaic equipment) and the energy storage configuration scale (i.e. the number of energy storage equipment or energy storage capacity).

[0020] The decision variables for the first power allocation planning model can include the scale of new energy allocation. Energy storage configuration scale Actual annual power generation of renewable energy from green electricity direct connection projects Annual resource harvest of surplus renewable energy from green electricity direct connection projects Annual municipal power consumption of green electricity direct connection projects .

[0021] Among them, the green electricity direct connection project is a grid-connected green electricity direct connection project, that is, the project is connected to the public power grid (in this application embodiment, the public power grid is sometimes referred to as the power grid).

[0022] In this embodiment of the application, the objective function can be represented by the following formula (1): (1); (2); (3); (4); (5); Wherein, RLCOE represents the total resource consumption required by the load side to use each kilowatt-hour of electricity throughout the entire life cycle of the green power direct connection project. The total resource consumption required by the load side to use each kilowatt-hour of electricity throughout the entire life cycle of the green power direct connection project is equivalent to the total resource consumption required by the power source side to generate each kilowatt-hour of electricity throughout the entire life cycle of the green power direct connection project. This indicates the amount of resources invested by the power supply side in green electricity direct connection projects. This indicates the operational period of the green electricity direct connection project. This represents the annual mains power consumption on the power supply side (i.e., the mains power consumption in year n). This represents the annual resource harvest of surplus renewable energy power connected to the grid (i.e., the resource harvest of surplus renewable energy power connected to the grid in year n). Indicates the preset ratio. This indicates the amount of resources consumed in the depreciation of fixed assets. This represents the expenditure ratio corresponding to the resource consumption for fixed asset depreciation. This indicates the amount of operational and maintenance resources consumed. This represents the residual value of fixed assets. This represents the actual annual power generation from new energy sources (i.e., the actual power generation from new energy sources in year n). This indicates the amount of resources invested by the power source on a unit of new energy source. Indicates the scale of new energy configuration. This indicates the amount of resources invested by the power source for each unit of energy storage. Indicates the scale of energy storage configuration. This represents the amount of resources invested in the power supply line, and any moment in the target time period is denoted as t. This represents the supplemental mains power at time t. This indicates the accuracy of data calculation within the target time period. This represents the predicted power consumption per unit of electricity at time t. This represents the power of renewable energy connected to the grid at time t. This represents the predicted energy consumption per unit of electricity generated by renewable energy sources at time t. This represents the actual power generation of new energy sources at time t.

[0023] The comprehensive resource consumption required for each kWh of electricity used by the load side during the entire lifecycle of the green electricity direct connection project is the average resource consumption per kWh, calculated by averaging the total resources consumed in various aspects of each kWh used during the entire lifecycle of the green electricity direct connection project. Similarly, the comprehensive resource consumption required for each kWh of electricity produced by the power supply side during the entire lifecycle of the green electricity direct connection project is the average resource consumption per kWh, calculated by averaging the total resources consumed in various aspects of each kWh produced during the entire lifecycle of the green electricity direct connection project. In this embodiment, since the relevant calculation factors for load-side resource consumption, such as the unit electricity resource settlement amount for green electricity direct supply, are uncertain beforehand, the comprehensive resource consumption required for each kWh of electricity produced by the power supply side during the entire lifecycle of the green electricity direct connection project is equivalent to the comprehensive resource consumption required for each kWh of electricity used by the load side during the entire lifecycle of the green electricity direct connection project (because the resource consumption of the power supply side is the factor with the greatest impact on the resource consumption of the load side) in the objective function, thereby obtaining a minimized estimate of the comprehensive resource consumption required for each kWh of electricity used by the load side during the entire lifecycle of the green electricity direct connection project.

[0024] In this embodiment of the application, the first constraint includes energy allocation scale constraint, power balance constraint, energy storage charging and discharging constraint, load constraint, and power consumption constraint.

[0025] Regarding the constraints on energy allocation scale: In green electricity direct connection projects, the scale of new energy allocation is limited by surrounding wind and solar resources and land use, and there are maximum limits on both the scale of new energy allocation and the scale of energy storage allocation. Based on this, the constraints on energy allocation scale can include the following formulas (6) and (7): (6); (7); in, Indicates the scale of new energy configuration. Indicates the unit capacity of new energy sources. This indicates the maximum scale limit for new energy vehicle configurations. Indicates the scale of energy storage configuration. Indicates the unit capacity of energy storage. This indicates the maximum capacity limit for energy storage configuration.

[0026] For power balance constraints: Grid-connected green electricity direct connection projects adopt a "green electricity + grid electricity" power supply mode to meet the load's electricity demand. In areas where the electricity spot market is operating continuously and stably, green electricity direct connection projects can prioritize self-consumption of new energy power, and surplus power is allowed to be connected to the grid under the premise of meeting the prescribed ratio; while in areas where the spot market has not yet achieved continuous operation, green electricity direct connection projects are prohibited from feeding back electricity to the public grid. The power exchange at the grid connection point of grid-connected green electricity direct connection projects follows the principle of unidirectional flow, that is, at the same time, only one direction of power transmission can be carried out between the grid connection point and the public grid, and bidirectional flow cannot be carried out at the same time. Based on this, the power balance constraints include the following formulas (8), (9), (10), (11), (12), (13), (14), (15), and (16): (8); (9); (10); (11); (12); (13); (14); (15); (16); in, This represents the actual power generation of new energy sources at time t. This represents the supplemental mains power at time t. This represents the energy storage discharge power at time t. This represents the energy storage charging power at time t. The on-grid power of green electricity direct connection projects at time t (the on-grid power of green electricity direct connection projects includes the on-grid power of new energy and the on-grid power of energy storage). This represents the predicted actual load power at time t (if load regulation exists). That is, the actual load power at time t after load adjustment. This represents the theoretical power generation capacity of new energy sources at time t. Indicates the scale of new energy configuration. Indicates the unit capacity of new energy sources. This represents the predicted power output coefficient of new energy sources at time t. This represents the amount of renewable energy curtailed at time t. This represents the direct power of renewable energy load at time t. This represents the power of renewable energy connected to the grid at time t. This represents the grid-connected power of the energy storage at time t. This represents the direct load power supplied by the energy storage at time t. The variable used to characterize whether the mains power supply is available to the load side at time t. Let be the variable used to characterize whether the new energy source is connected to the grid at time t. (1 when the mains power supply is supplied to the load side at time t, and 1 when the mains power supply is not supplied to the load side at time t). (Time t is 1 when new energy is connected to the Internet, and 0 when new energy is not connected to the Internet).

[0027] Regarding the constraints on energy storage charging and discharging: The charging and discharging constraints of the energy storage system must meet constraints such as power constraints, energy constraints, and operating status constraints. In order to make the statistical interface clear and ensure the traceability of self-generated and self-consumed green electricity, the energy storage system is set to be directly charged by directly connected new energy power generation, without taking power from the public grid, and the stored green electricity can be transmitted to the public grid to participate in market transactions. Based on this, the energy storage charging and discharging constraints include the following formulas (17), (18), (19), (20), (21), and (22): (17); (18); (19); (20); (twenty one); (twenty two); in, Indicates the minimum charge coefficient. Indicates the maximum charge factor. Indicates the rated capacity of energy storage. This represents the stored energy quantity at time t. This represents the stored energy at time t-1. This represents the energy storage charging power at time t. Indicates energy storage charging efficiency. This represents the energy storage discharge power at time t. Indicates the energy storage discharge efficiency. Indicates the initial energy storage capacity. This indicates the minimum power limit for energy storage charging. This indicates the maximum limit of energy storage charging power. Let be the variable used to characterize whether the stored energy is in a charging state at time t. This indicates the minimum limit for energy storage discharge power. This indicates the maximum limit of the energy storage discharge power. Let be the variable used to characterize whether the stored energy is in a discharge state at time t. (The value is 1 when the energy storage is in the charging state at time t, and 0 when the energy storage is not in the charging state at time t). (The value is 1 when the stored energy is in the discharge state at time t, and 0 when the stored energy is not in the discharge state at time t).

[0028] Formula (22) constrains the charging and discharging behavior of the energy storage system to be mutually exclusive within the same time period, meaning that charging and discharging operations cannot be carried out simultaneously.

[0029] Regarding load constraints: Currently, typical controllable industrial loads in green electricity direct connection projects include production processes such as electrolytic aluminum, steel, cement, and composite ceramics. These loads must have the ability to quickly adjust up and down within the rated power range and can coordinate with production plans through power constraints to ensure the established output target while participating in grid interaction. Based on this, the load constraints include the following formulas (23) and (24): (twenty three); (twenty four); in, This represents the actual load power at time t before load regulation. This represents the predicted actual load power at time t (i.e., the actual load power at time t after load adjustment). This indicates the limit on the downward adjustment ratio of the load. This indicates the limit on the upward adjustment ratio of the load. Indicates the production cycle. This indicates the accuracy of data calculations within the production cycle. This indicates the required electricity consumption during the production cycle.

[0030] Regarding the power consumption constraints: According to the requirements for green power direct connection projects, the proportion of self-generated and self-consumed electricity from new energy sources in green power direct connection projects should not be less than 60% of the total available power generation, and the proportion of self-consumption should not be less than 30% of the total power consumption, and the self-consumption ratio should be continuously increased. Considering the long term, this first power allocation planning model sets the lower limit of the proportion of self-generated and self-consumed electricity from new energy sources in green power direct connection projects to the total available power generation at 35%. The upper limit of the proportion of grid-connected electricity from green power direct connection projects to the total available power generation can be determined in combination with the actual situation, and generally does not exceed 20%. It should be noted that all the above proportions are adjustable variables. Based on this, the power consumption constraints include the following formulas (25), (26) and (27): (25); (26); (27); in, This indicates the required electricity consumption during the production cycle. Let t represent the supplemental mains power at time t, where any time within the target time period is denoted as t. This indicates the accuracy of data calculation within the target time period. This represents the theoretical power generation capacity of new energy sources at time t. This indicates the required proportion of self-generated and self-consumed electricity from new energy sources to the total available power generation for green electricity direct connection projects. This indicates the lower limit of the proportion of self-generated and self-consumed electricity from new energy sources to the total available power generation for green electricity direct connection projects. This represents the power of renewable energy connected to the grid at time t. This represents the grid-connected power of the energy storage at time t. This indicates the upper limit on the proportion of electricity generated by green electricity direct connection projects to the total available power generation.

[0031] For example, a can be 60%, b can be 35%, and c can be 20%.

[0032] Step 103: Solve the first power configuration planning model to obtain the first target power configuration scheme; the first target power configuration scheme includes the first target configuration scale of new energy storage.

[0033] The first power allocation planning model is a mixed-integer linear programming model, which can be solved by calling the Gurobi solver in MATLAB software. It can obtain the first target power allocation scheme (including the target variable values ​​of all decision variables in the first power allocation planning model). The first target power allocation scheme includes the first target allocation scale of new energy and energy storage (i.e., the first target allocation scale of new energy and the first target allocation scale of energy storage), as well as the annual actual power generation of new energy in the green power direct connection project, the annual resource harvest of surplus new energy power connected to the grid in the green power direct connection project, and the annual resource consumption of grid power in the green power direct connection project.

[0034] Optionally, in the power allocation method for green electricity direct connection projects, the settlement amount of electricity resources for green electricity direct supply units can be calculated in reverse, and the rationality of the power allocation scheme can be verified accordingly, as follows: Step 104: Based on the first target configuration scale of new energy storage, calculate the settlement amount of green electricity direct supply per unit of electricity resources.

[0035] Based on the foregoing, in this embodiment, since the relevant calculation factors for load-side resource consumption, such as the unit electricity resource settlement amount for direct green electricity supply, are uncertain beforehand, the objective function equates the comprehensive resource consumption required for each kilowatt-hour generated by the power source during the entire lifecycle of the direct green electricity connection project to the comprehensive resource consumption required for each kilowatt-hour used by the load side during the entire lifecycle of the direct green electricity connection project (because the resource consumption of the power source is the most influential factor on the resource consumption of the load side). This yields a minimized estimate of the comprehensive resource consumption required for each kilowatt-hour used by the load side during the entire lifecycle of the direct green electricity connection project. Therefore, in this step, based on information such as the first target configuration scale of new energy storage obtained by minimizing the objective function, it is necessary to back-calculate the unit electricity resource settlement amount required for direct green electricity supply by the load side.

[0036] In this step, the preset CIRR will be set. yuqi As a given goal, let CIRR = CIRR in the following formula (28). yuqi CIRR yuqi The preset conversion rate target is used, and all decision variable values ​​in the first target power allocation scheme (including the first target allocation scale of new energy storage) are used as the calculation boundary, along with CIRR=CIRR. yuqi The target is input into the economic evaluation software for integrated wind, solar and energy storage projects to back-calculate the settlement amount of green electricity direct supply unit power resources, thereby obtaining the settlement amount of green electricity direct supply unit power resources corresponding to the first target power configuration scheme.

[0037] (28); in, This indicates the operational period of a green electricity direct connection project. CI represents resource harvest, CO represents resource consumption, and (CI-CO) n Let represent the net resource harvest in year n, and let CIRR represent the discount rate that makes the net resource harvest in year n zero.

[0038] Step 105: Based on the settlement amount of electricity resources of the green electricity direct supply unit, determine and compare the comprehensive resource consumption required for the load side to use each kilowatt-hour of electricity in the entire life cycle of the green electricity direct connection project (i.e., the comprehensive resource consumption of green electricity per kilowatt-hour on the load side) and the comprehensive resource consumption required for the load side to use each kilowatt-hour of electricity in the entire life cycle of the pure grid power supply project (hereinafter referred to as the comprehensive resource consumption of grid power per kilowatt-hour on the load side).

[0039] Among them, the pure grid power supply project is a project that does not contain green electricity and only uses grid power. This is a fictitious project with the same full life cycle as the green electricity direct connection project in order to compare it with the green electricity direct connection project. The pure grid power supply project does not actually exist.

[0040] In this step, the comprehensive resource consumption of green electricity on the load side is determined by the following formula (29): (29); in, ; ; ; ; in, This represents the total resource consumption of green electricity on the load side. This indicates the settlement amount of electricity resources for green electricity direct supply units. This indicates the required electricity consumption during the production cycle. Let t represent the supplemental mains power at time t, where any time within the target time period is denoted as t. This indicates the accuracy of data calculation within the target time period. This indicates the resource consumption for power transmission and distribution. This indicates the resource consumption of the power supply system during operation. This indicates the amount of resources consumed by the network connection during internet access. This indicates the amount of resources required by power supply regulations. This indicates the preset amount of additional resources consumed. This indicates the maximum demand for mains electricity by the load during the billing period. This indicates the amount of electricity consumed per unit of demand. Indicates the substation capacity. This represents the amount of electricity consumed per unit of capacity. This represents the standard unit electricity consumption of the current electricity level at which the green electricity direct connection project is located. This indicates the average load factor of the location where the green electricity direct connection project is located. This indicates the unit resource consumption during the operation of the power supply system. This indicates the unit resource consumption of line loss during internet access. This indicates the unit resource consumption required by power supply regulations.

[0041] Load-side electricity consumption The following methods are used to determine the following: Existing loads are identified based on historical load records of existing load users, and the comprehensive resource consumption per kilowatt-hour (kWh) required for these existing loads to operate solely on grid power throughout their entire lifecycle is determined. New loads are identified based on actual power forecast data of planned load users during the target period, and the comprehensive resource consumption per kWh required for these new loads to operate solely on grid power throughout their entire lifecycle is determined. The comprehensive resource consumption per kWh of grid power required for existing loads to operate solely on grid power throughout their entire lifecycle is then added to the comprehensive resource consumption per kWh of grid power required for new loads to operate solely on grid power throughout their entire lifecycle, yielding the comprehensive resource consumption per kWh of grid power on the load side. .

[0042] Step 106: If the comprehensive resource consumption required for each kilowatt-hour of electricity used by the load side during the entire life cycle of the green electricity direct connection project is less than the comprehensive resource consumption required for each kilowatt-hour of electricity used by the load side during the entire life cycle of the pure grid power supply project (i.e., the comprehensive resource consumption of green electricity per kilowatt-hour on the load side is less than the comprehensive resource consumption of grid electricity per kilowatt-hour on the load side), then the first target power configuration scheme is determined to be reasonable.

[0043] Step 107: If the total resource consumption required for each kilowatt-hour of electricity used by the load side during the entire life cycle of the green electricity direct connection project is greater than or equal to the total resource consumption required for each kilowatt-hour of electricity used by the load side during the entire life cycle of the pure grid power supply project (i.e., the total resource consumption of green electricity per kilowatt-hour on the load side is greater than or equal to the total resource consumption of grid electricity per kilowatt-hour on the load side), then the first target power configuration scheme is determined to be unreasonable.

[0044] like If so, it indicates that the first target power configuration scheme is reasonable.

[0045] like If so, it indicates that the first target power configuration scheme is not reasonable.

[0046] In other words, when adopting the first target power configuration scheme (i.e., the power supply mode of "green electricity + grid electricity"), the comprehensive resource consumption required for each kilowatt-hour of electricity used by the load side should be lower than the comprehensive resource consumption required for each kilowatt-hour of electricity used when adopting the "grid electricity" power supply mode throughout the entire life cycle. Otherwise, the first target power configuration scheme is not reasonable.

[0047] Optionally, the decision variables of the first power allocation planning model also include the actual annual power generation of the renewable energy in the green power direct connection project. Correspondingly, the first target power allocation scheme also includes the actual annual power generation of the renewable energy in the green power direct connection project. Then, the power allocation method for the green power direct connection project may also include the following steps 108 to 110: Step 108: Compare the settlement amount of green electricity direct supply per unit of electricity resource with the preset settlement amount of green electricity resource, and compare the sum of the actual power generation of the first target year of new energy over the whole life cycle with the preset expected direct power supply of new energy.

[0048] In this step, for the load side, the settlement amount of green electricity direct supply per unit of electricity resource can be compared with the preset settlement amount of green electricity resource. The preset settlement amount of green electricity resource is the threshold of the expected settlement amount of green electricity resource on the load side. For the load side, by comparing the settlement amount of green electricity direct supply per unit of electricity resource with the preset settlement amount of green electricity resource, it can be determined whether the settlement amount of green electricity direct supply per unit of electricity resource meets the load side's requirement to reduce the settlement amount of green electricity resource.

[0049] For the load side, the sum of the actual power generation of the first target year of new energy over the entire life cycle (i.e., the actual total power generation of the first target of new energy) can be compared with the preset expected direct power supply of new energy. The expected direct power supply of new energy is the threshold of the expected direct power supply of new energy on the load side. For the load side, by comparing the actual total power generation of the first target of new energy with the preset expected direct power supply of new energy, it can be determined whether the actual total power generation of the first target of new energy meets the load side's requirement to achieve the expected target of green power generation.

[0050] Step 109: If the settlement amount of green electricity direct supply per unit of electricity resource is greater than or equal to the preset settlement amount of green electricity resource and / or the sum of the actual power generation of new energy in the first target year over the entire life cycle is less than the expected direct supply of new energy, then the unit electricity resource settlement amount constraint and the actual power generation constraint of new energy are added to the first constraint to obtain the second constraint.

[0051] If the settlement amount of green electricity direct supply per unit of electricity resource is less than the preset settlement amount of green electricity resource per unit of electricity resource, and the total actual power generation of new energy in the first target year over the entire life cycle is greater than or equal to the expected direct power supply of new energy, then it can be determined that the first target power configuration scheme can meet the load-side demand.

[0052] If the settlement amount of green electricity direct supply per unit of electricity resource is greater than or equal to the preset settlement amount of green electricity resource and / or the sum of the actual power generation of the first target year of new energy in the whole life cycle is less than the expected direct supply of new energy, then it can be determined that the first target power allocation scheme cannot meet the load-side demand, and the first constraint needs to be updated. That is, the unit electricity resource settlement constraint and the actual power generation constraint of new energy are added to the first constraint, so as to obtain the updated second constraint. Then, the second power allocation planning model including the objective function and the second constraint is solved, so as to iteratively optimize the power allocation scheme until the power allocation scheme meets all the constraints in the second constraint.

[0053] The constraints on unit electricity resource settlement can include: the unit electricity resource settlement amount for direct green electricity supply is less than the preset unit electricity resource settlement amount. The constraints on actual renewable energy generation can include: the total actual renewable energy generation in the first target year over the entire life cycle is greater than or equal to the preset expected direct renewable energy supply. In other words, the first constraint adds the demand for a reduction in the expected unit electricity resource settlement amount on the load side and the demand for achieving the expected green electricity generation target.

[0054] Step 110: Solve the second power configuration planning model, which includes the objective function and the second constraint, to obtain the second objective power configuration scheme; the second objective power configuration scheme includes the second objective configuration scale of new energy storage.

[0055] In this step, the second power configuration planning model can be solved by calling the Gurobi solver in MATLAB software.

[0056] The second target power configuration scheme may include the second target configuration scale of new energy and energy storage (i.e., the second target configuration scale of new energy and the second target configuration scale of energy storage), as well as the annual actual power generation of the second target of new energy in the green power direct connection project, the annual second target resource harvest of the surplus power of new energy to the grid in the green power direct connection project, and the annual second target resource consumption of the grid power in the green power direct connection project.

[0057] It should be noted that the embodiments of this application do not limit the specific form of resources (consumed, acquired, or invested). Resources can be physical resources (such as natural substances, products, etc.) and / or virtual resources (such as services, information, etc.).

[0058] The power allocation method for green power direct connection projects provided in this application can construct a first power allocation planning model based on predicted data of load, renewable energy output coefficient, renewable energy surplus power grid connection unit power consumption, and grid power unit power consumption within the target period. The first power allocation planning model fully considers the time-series characteristics such as load curves, renewable energy output characteristics, and electricity price fluctuations, thereby accurately simulating the actual operation scenario of green power direct connection projects. This results in a higher degree of matching between the first power allocation scheme obtained by solving the first power allocation planning model and actual operation needs. In addition, the first power allocation planning model aims to minimize the comprehensive resource consumption required for each kilowatt-hour of electricity used by the load side throughout the entire life cycle of the green power direct connection project, and sets constraints on energy allocation scale, power balance, energy storage charging and discharging, load requirements, and power requirements. Thus, the first power allocation scheme obtained by solving the first power allocation planning model can minimize resource consumption while meeting the constraints on energy allocation scale, power balance, energy storage charging and discharging, load requirements, and power requirements. In summary, this application can solve for a power configuration scheme that is highly compatible with actual operating needs and minimizes resource consumption under various constraints. This power configuration scheme can take into account both actual operating needs and low resource consumption, that is, achieve low resource consumption while ensuring actual operating needs.

[0059] Based on the same inventive concept, this application also provides a power configuration device for implementing the power configuration method of the green direct-connection project mentioned above. The solution provided by this device is similar to the implementation scheme described in the above method. Therefore, the specific limitations of one or more embodiments of the power configuration device for green direct-connection projects provided below can be found in the limitations of the power configuration method for green direct-connection projects described above, and will not be repeated here.

[0060] In one exemplary embodiment, such as Figure 2 As shown, a power configuration device for a green power direct connection project is provided. The power configuration device for a green power direct connection project includes: The data acquisition module is used to acquire forecast data, which includes forecast data of actual load power during the target period, forecast data of renewable energy output coefficient, forecast data of renewable energy surplus power grid connection unit electricity resource consumption, and forecast data of grid power unit electricity resource consumption. The model building module is used to construct a first power allocation planning model based on predicted data, including an objective function and first constraints. The decision variables of the first power allocation planning model include the scale of new energy storage configuration. The objective function is used to minimize the comprehensive resource consumption required for the load side to use each kilowatt-hour of electricity during the entire life cycle of the green electricity direct connection project. The first constraints include energy configuration scale constraints, power balance constraints, energy storage charging and discharging constraints, load constraints, and power consumption constraints. The model solving module is used to solve the first power configuration planning model to obtain the first target power configuration scheme; the first target power configuration scheme includes the first target configuration scale of new energy storage.

[0061] Optionally, the power configuration unit of the green electricity direct connection project is also used for: Based on the primary target configuration scale of new energy storage, the settlement amount of green electricity direct supply per unit of electricity resource is calculated in reverse. Based on the settlement amount of electricity resources of green electricity direct supply, determine and compare the comprehensive resource consumption required for the load side to use each kWh of electricity in the whole life cycle of the green electricity direct connection project and the comprehensive resource consumption required for the load side to use each kWh of electricity in the whole life cycle of the pure grid power supply project. If the comprehensive resource consumption required for each kilowatt-hour of electricity used by the load side during the entire life cycle of the green electricity direct connection project is less than the comprehensive resource consumption required for each kilowatt-hour of electricity used by the load side during the entire life cycle of the pure grid power supply project, then the first target power configuration scheme is deemed reasonable. If the total resource consumption required for each kilowatt-hour of electricity used by the load side during the entire life cycle of a green electricity direct connection project is greater than or equal to the total resource consumption required for each kilowatt-hour of electricity used by the load side during the entire life cycle of a pure grid power supply project, then the first target power configuration scheme is determined to be unreasonable.

[0062] Optionally, the decision variables of the first power allocation planning model include the actual annual power generation of the new energy source of the green power direct connection project, and the first target power allocation scheme includes the actual annual power generation of the new energy source of the green power direct connection project. The power configuration equipment in the green electricity direct connection project is also used for: Compare the settlement amount of green electricity direct supply per unit of electricity resource with the preset settlement amount of green electricity resource per unit of electricity resource, and compare the sum of the actual power generation of the first target year of new energy over the whole life cycle with the preset expected direct power supply of new energy. If the settlement amount of green electricity direct supply per unit of electricity resource is greater than or equal to the preset settlement amount of green electricity resource and / or the sum of the actual power generation of new energy in the first target year over the whole life cycle is less than the expected direct supply of new energy, then the unit electricity resource settlement amount constraint and the actual power generation of new energy constraint are added to the first constraint to obtain the second constraint. Solve the second power allocation planning model, which includes the objective function and the second constraint, to obtain the second objective power allocation scheme; the second objective power allocation scheme includes the second objective allocation scale of new energy storage.

[0063] Alternatively, the objective function can be expressed by the following formula (1): (1); (2); (3); (4); (5); Wherein, RLCOE represents the total resource consumption required by the load side to use each kilowatt-hour of electricity throughout the entire life cycle of the green power direct connection project. The total resource consumption required by the load side to use each kilowatt-hour of electricity throughout the entire life cycle of the green power direct connection project is equivalent to the total resource consumption required by the power source side to generate each kilowatt-hour of electricity throughout the entire life cycle of the green power direct connection project. This indicates the amount of resources invested by the power supply side in green electricity direct connection projects. This indicates the operational period of the green electricity direct connection project. This indicates the annual consumption of mains electricity on the power supply side. This indicates the annual resource harvest of surplus electricity from new energy sources being fed into the grid. Indicates the preset ratio. This indicates the amount of resources consumed in the depreciation of fixed assets. This represents the expenditure ratio corresponding to the resource consumption for fixed asset depreciation. This indicates the amount of operational and maintenance resources consumed. This represents the residual value of fixed assets. This represents the actual annual power generation from new energy sources. This indicates the amount of resources invested by the power source on a unit of new energy source. Indicates the scale of new energy configuration. This indicates the amount of resources invested by the power source for each unit of energy storage. Indicates the scale of energy storage configuration. This represents the amount of resources invested by the power source in the power supply line, and any moment in the target time period is represented as t. This represents the supplemental mains power at time t. This indicates the accuracy of data calculation within the target time period. This represents the predicted power consumption per unit of electricity at time t. This represents the power of renewable energy connected to the grid at time t. This represents the predicted energy consumption per unit of electricity generated by renewable energy sources at time t. This represents the actual power generation of new energy sources at time t.

[0064] Optionally, the energy allocation scale constraints include the following formulas (6) and (7): (6); (7); in, Indicates the scale of new energy configuration. Indicates the unit capacity of new energy sources. This indicates the maximum scale limit for new energy vehicle configurations. Indicates the scale of energy storage configuration. Indicates the unit capacity of energy storage. This indicates the maximum capacity limit for energy storage configuration.

[0065] Optionally, the power balance constraints include the following formulas (8), (9), (10), (11), (12), (13), (14), (15), and (16): (8); (9); (10); (11); (12); (13); (14); (15); (16); in, This represents the actual power generation of new energy sources at time t. This represents the supplemental mains power at time t. This represents the energy storage discharge power at time t. This represents the energy storage charging power at time t. This represents the grid connection power of the green electricity direct-connection project at time t. This represents the predicted actual load power at time t. This represents the theoretical power generation capacity of new energy sources at time t. Indicates the scale of new energy configuration. Indicates the unit capacity of new energy sources. This represents the predicted power output coefficient of new energy sources at time t. This represents the amount of renewable energy curtailed at time t. This represents the direct power of renewable energy load at time t. This represents the power of renewable energy connected to the grid at time t. This represents the grid-connected power of the energy storage at time t. This represents the direct load power supplied by the energy storage at time t. The variable is used to characterize whether the mains power is supplied to the load side at time t. Let be the variable used to characterize whether the new energy source is connected to the grid at time t. , .

[0066] Optionally, the energy storage charging and discharging constraints include the following formulas (17), (18), (19), (20), (21), and (22): (17); (18); (19); (20); (twenty one); (twenty two); in, Indicates the minimum charge coefficient. Indicates the maximum charge factor. Indicates the rated capacity of energy storage. This represents the stored energy quantity at time t. This represents the stored energy at time t-1. This represents the energy storage charging power at time t. Indicates energy storage charging efficiency. This represents the energy storage discharge power at time t. Indicates the energy storage discharge efficiency. Indicates the initial energy storage capacity. This indicates the minimum power limit for energy storage charging. This indicates the maximum limit of energy storage charging power. Let be the variable used to characterize whether the stored energy is in a charging state at time t. This indicates the minimum limit for energy storage discharge power. This indicates the maximum limit of the energy storage discharge power. Let be the variable used to characterize whether the stored energy is in a discharge state at time t. , .

[0067] Optionally, the load constraints include the following formulas (23) and (24): (twenty three); (twenty four); in, This represents the actual load power at time t before load regulation. This represents the predicted actual load power at time t. This indicates the limit on the downward adjustment ratio of the load. This indicates the limit on the upward adjustment ratio of the load. Indicates the production cycle. This indicates the accuracy of data calculations within the production cycle. This indicates the required electricity consumption during the production cycle.

[0068] Optionally, the energy constraints include the following formulas (25), (26), and (27): (25); (26); (27); in, This indicates the required electricity consumption during the production cycle. Let t represent the supplemental mains power at time t, where any time within the target time period is denoted as t. This indicates the accuracy of data calculation within the target time period. This represents the theoretical power generation capacity of new energy sources at time t. This indicates the required proportion of self-generated and self-consumed electricity from new energy sources to the total available power generation for green electricity direct connection projects. This indicates the lower limit of the proportion of self-generated and self-consumed electricity from new energy sources to the total available power generation for green electricity direct connection projects. This represents the power of renewable energy connected to the grid at time t. This represents the grid-connected power of the energy storage at time t. This indicates the upper limit on the proportion of electricity generated by green electricity direct connection projects to the total available power generation.

[0069] In one exemplary embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in the above-described method embodiments.

[0070] The aforementioned computer device may be, for example, a server or a terminal, and its internal structure diagram may be as follows: Figure 3As shown, this computer device includes a processor, memory, input / output (I / O) interfaces, and a communication interface. The processor, memory, and I / O interfaces are connected via a system bus, and the communication interface is also connected to the system bus via the I / O interfaces. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and a database. The internal memory provides the environment for the operating system and computer programs stored in the non-volatile storage media. The database stores data. The I / O interfaces are used for exchanging information between the processor and external devices. The communication interface is used for communicating with external terminals via a network connection. When the computer program is executed by the processor, it implements a power configuration method for a green electricity direct-connection project.

[0071] Those skilled in the art will understand that Figure 3 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0072] In one exemplary embodiment, a computer-readable storage medium is provided storing a computer program that, when executed by a processor, implements the steps in the above-described method embodiments.

[0073] In one exemplary embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in the above-described method embodiments.

[0074] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0075] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments described above. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM).

[0076] The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0077] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0078] This document uses specific examples to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the methods and core ideas of this application. Furthermore, those skilled in the art will recognize that, based on the ideas of this application, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A power configuration method for a green electricity direct connection project, characterized in that, The power configuration method for the green electricity direct connection project includes: Acquire forecast data; the forecast data includes actual load power forecast data, new energy output coefficient forecast data, new energy surplus power grid connection unit electricity resource consumption forecast data, and grid power unit electricity resource consumption forecast data within the target period; Based on the predicted data, a first power allocation planning model is constructed, including an objective function and a first constraint condition. The decision variables of the first power allocation planning model include the scale of new energy storage configuration. The objective function is used to minimize the comprehensive resource consumption required for the load side to use each kilowatt-hour of electricity during the entire life cycle of the green electricity direct connection project. The first constraint condition includes energy configuration scale constraint condition, power balance constraint condition, energy storage charging and discharging constraint condition, load constraint condition, and power consumption constraint condition. Solving the first power allocation planning model yields a first target power allocation scheme; the first target power allocation scheme includes the first target allocation scale of new energy storage. The decision variables of the first power allocation planning model include the actual annual power generation of the new energy source of the green power direct connection project, and the first target power allocation scheme includes the actual annual power generation of the new energy source of the green power direct connection project. The power configuration method for the green electricity direct connection project also includes: Compare the settlement amount of green electricity direct supply per unit of electricity resource with the preset settlement amount of green electricity resource, and compare the sum of the actual power generation of the first target year of new energy over the entire life cycle with the preset expected direct power supply of new energy; If the settlement amount of green electricity direct supply per unit of electricity resource is greater than or equal to the preset settlement amount of green electricity resource and / or the sum of the actual power generation of the new energy in the first target year over the entire life cycle is less than the expected direct supply of the new energy, then the unit electricity resource settlement amount constraint and the actual power generation of the new energy constraint are added to the first constraint to obtain the second constraint. Solve the second power allocation planning model, which includes the objective function and the second constraint, to obtain the second objective power allocation scheme; the second objective power allocation scheme includes the second objective allocation scale of new energy storage.

2. The power configuration method for green electricity direct connection projects according to claim 1, characterized in that, The power configuration method for the green electricity direct connection project also includes: Based on the first target configuration scale of the new energy storage, the settlement amount of green electricity direct supply per unit of electricity resource is calculated in reverse. Based on the settlement amount of electricity resources of the green electricity direct supply unit, determine and compare the comprehensive resource consumption required by the load side for each kilowatt-hour of electricity used in the entire life cycle of the green electricity direct connection project and the comprehensive resource consumption required by the load side for each kilowatt-hour of electricity used in the entire life cycle of the pure grid power supply project. If the comprehensive resource consumption required for each kilowatt-hour of electricity used by the load side during the entire life cycle of the green electricity direct connection project is less than the comprehensive resource consumption required for each kilowatt-hour of electricity used by the load side during the entire life cycle of the pure grid power supply project, then the first target power configuration scheme is determined to be reasonable. If the total resource consumption required for each kilowatt-hour of electricity used by the load side during the entire life cycle of the green electricity direct connection project is greater than or equal to the total resource consumption required for each kilowatt-hour of electricity used by the load side during the entire life cycle of the pure grid power supply project, then the first target power configuration scheme is determined to be unreasonable.

3. The power configuration method for green electricity direct connection projects according to claim 1, characterized in that, The objective function is expressed by the following formula (1): (1)； (2)； (3)； (4)； (5)； Wherein, RLCOE represents the comprehensive resource consumption required by the load side to use each kilowatt-hour of electricity during the entire life cycle of the green power direct connection project. The comprehensive resource consumption required by the load side to use each kilowatt-hour of electricity during the entire life cycle of the green power direct connection project is equivalent to the comprehensive resource consumption required by the power supply side to generate each kilowatt-hour of electricity during the entire life cycle of the green power direct connection project. This indicates the amount of resources invested by the power supply side in the green electricity direct connection project. This indicates the operational period of the green electricity direct connection project. This represents the annual mains power consumption on the power supply side. This indicates the annual resource harvest of surplus electricity from new energy sources being fed into the grid. Indicates the preset ratio. This indicates the amount of resources consumed in the depreciation of fixed assets. This represents the expenditure ratio corresponding to the resource consumption of the fixed asset depreciation. This indicates the amount of operational and maintenance resources consumed. This represents the residual value of the fixed asset. This represents the actual annual power generation from new energy sources. This indicates the amount of resources invested by the power supply side for each unit of new energy source. Indicates the scale of new energy configuration. This indicates the amount of resources invested by the power supply side per unit of energy storage. Indicates the scale of energy storage configuration. This represents the amount of resources invested by the power supply side in the power supply line, and any moment in the target time period is represented as t. This represents the supplemental mains power at time t. This indicates the data calculation accuracy within the target time period. This represents the predicted unit electricity consumption data of the municipal power supply at time t. This represents the power of renewable energy connected to the grid at time t. This represents the predicted energy consumption per unit of electricity generated by renewable energy sources at time t. This represents the actual power generation of new energy sources at time t.

4. The power configuration method for a green electricity direct connection project according to claim 1, characterized in that, The energy allocation scale constraints include the following formulas (6) and (7): (6)； (7)； in, Indicates the scale of new energy configuration. Indicates the unit capacity of new energy sources. This indicates the maximum scale limit for new energy vehicle configurations. Indicates the scale of energy storage configuration. Indicates the unit capacity of energy storage. This indicates the maximum capacity limit for energy storage configuration.

5. The power configuration method for a green electricity direct connection project according to claim 1, characterized in that, The power balance constraints include the following formulas (8), (9), (10), (11), (12), (13), (14), (15), and (16): (8)； (9)； (10)； (11)； (12)； (13)； (14)； (15)； (16)； in, This represents the actual power generation of new energy sources at time t. This represents the supplemental mains power at time t. This represents the energy storage discharge power at time t. This represents the energy storage charging power at time t. This represents the grid connection power of the green electricity direct-connection project at time t. This represents the predicted actual load power at time t. This represents the theoretical power generation capacity of new energy sources at time t. Indicates the scale of new energy configuration. Indicates the unit capacity of new energy sources. This represents the predicted power output coefficient of new energy sources at time t. This represents the amount of renewable energy curtailed at time t. This represents the direct power of renewable energy load at time t. This represents the power of renewable energy connected to the grid at time t. This represents the grid-connected power of the energy storage at time t. This represents the direct load power supplied by the energy storage at time t. The variable is used to characterize whether the mains power is supplied to the load side at time t. Let be the variable used to characterize whether the new energy source is connected to the grid at time t. , .

6. The power configuration method for a green electricity direct connection project according to claim 1, characterized in that, The energy storage charging and discharging constraints include the following formulas (17), (18), (19), (20), (21), and (22): (17)； (18)； (19)； (20)； (21)； (22)； in, Indicates the minimum charge coefficient. Indicates the maximum charge factor. Indicates the rated capacity of energy storage. This represents the stored energy quantity at time t. This represents the stored energy at time t-1. This represents the energy storage charging power at time t. Indicates energy storage charging efficiency. This represents the energy storage discharge power at time t. Indicates the energy storage discharge efficiency. Indicates the initial energy storage capacity. This indicates the minimum power limit for energy storage charging. This indicates the maximum limit of energy storage charging power. Let be the variable used to characterize whether the stored energy is in a charging state at time t. This indicates the minimum limit for energy storage discharge power. This indicates the maximum limit of the energy storage discharge power. Let be the variable used to characterize whether the stored energy is in a discharge state at time t. , .

7. The power configuration method for a green electricity direct connection project according to claim 1, characterized in that, The load constraints include the following formulas (23) and (24): (23)； (24)； in, This represents the actual load power at time t before load regulation. This represents the predicted actual load power at time t. This indicates the limit on the downward adjustment ratio of the load. This indicates the limit on the upward adjustment ratio of the load. Indicates the production cycle. This indicates the accuracy of data calculations within the production cycle. This indicates the required electricity consumption during the production cycle.

8. The power configuration method for a green electricity direct connection project according to claim 1, characterized in that, The energy constraint conditions include the following formulas (25), (26) and (27): (25)； (26)； (27)； in, This indicates the required electricity consumption during the production cycle. Let t represent the supplemental mains power at time t, where any time within the target time period is denoted as t. This indicates the data calculation accuracy within the target time period. This represents the theoretical power generation capacity of new energy sources at time t. This indicates the required proportion of self-generated and self-consumed electricity from new energy sources to the total available power generation for the green electricity direct connection project. This indicates the lower limit of the proportion of the annual self-generated and self-consumed electricity from new energy sources in the green electricity direct connection project to the total available power generation. This represents the power of renewable energy connected to the grid at time t. This represents the grid-connected power of the energy storage at time t. This indicates the upper limit of the proportion of the electricity generated by the green electricity direct connection project to the total available power generation.

9. A power configuration device for a green electricity direct connection project, characterized in that, The power configuration equipment for the green electricity direct connection project includes: The data acquisition module is used to acquire forecast data; the forecast data includes actual load power forecast data, new energy output coefficient forecast data, new energy surplus power grid connection unit electricity resource consumption forecast data, and grid power unit electricity resource consumption forecast data within the target period. The model building module is used to construct a first power allocation planning model based on the predicted data, including an objective function and a first constraint condition. The decision variables of the first power allocation planning model include the scale of new energy storage configuration. The objective function is used to minimize the comprehensive resource consumption required for the load side to use each kilowatt-hour of electricity during the entire life cycle of the green electricity direct connection project. The first constraint condition includes energy configuration scale constraint condition, power balance constraint condition, energy storage charging and discharging constraint condition, load constraint condition, and power consumption constraint condition. The model solving module is used to solve the first power allocation planning model to obtain the first target power allocation scheme; the first target power allocation scheme includes the first target allocation scale of new energy storage. The decision variables of the first power allocation planning model include the actual annual power generation of the new energy source of the green power direct connection project, and the first target power allocation scheme includes the actual annual power generation of the new energy source of the green power direct connection project. The power configuration device of the green electricity direct connection project is also used for: Compare the settlement amount of green electricity direct supply per unit of electricity resource with the preset settlement amount of green electricity resource, and compare the sum of the actual power generation of the first target year of new energy over the entire life cycle with the preset expected direct power supply of new energy; If the settlement amount of green electricity direct supply per unit of electricity resource is greater than or equal to the preset settlement amount of green electricity resource and / or the sum of the actual power generation of the new energy in the first target year over the entire life cycle is less than the expected direct supply of the new energy, then the unit electricity resource settlement amount constraint and the actual power generation of the new energy constraint are added to the first constraint to obtain the second constraint. Solve the second power allocation planning model, which includes the objective function and the second constraint, to obtain the second objective power allocation scheme; the second objective power allocation scheme includes the second objective allocation scale of new energy storage.

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