Power supply control method, device, electronic device and storage medium for distributed power generation station based on edge computing

Abstract

An embodiment of the present invention discloses a power supply control method, device, electronic device, and storage medium for a distributed power generation station based on edge computing. The method includes: obtaining basic information and historical operation data of at least one power generation station, and respectively constructing a self-use load data set for each power generation station based on the basic information and historical operation data of each power generation station; for each power generation station, determining the self-use load characteristics and output characteristics of the current power generation station based on the self-use load data set of the current power generation station; determining the edge computing unit of the current power generation station according to the identifier of the current power generation station, and sending the self-use load characteristics, output characteristics, and self-use load data set of the current power generation station to the edge computing unit, so that the edge computing unit determines the self-use load power supply method of the current power generation station based on the self-use load characteristics and output characteristics, and controls the power supply of the current power generation station according to the self-use load power supply method. The present invention can optimize the power supply methods of each new energy power generation station.

Description

Technical Field

[0001] The embodiments of the present invention relate to the technical field of power analysis, and in particular, to a power supply control method, device, electronic device, and storage medium for a distributed power generation station based on edge computing. Background Art

[0002] As an important modern energy supply unit, the stable operation of a power generation station involves all aspects of social production and life. With the improvement of the awareness of sustainable development, the proportion of new energy power generation in existing power generation stations is also increasing. However, due to the dependence of new energy power generation on environmental factors such as sunlight and wind, it often shows a distributed characteristic during construction. This distributed characteristic has a certain impact on the rationality and accuracy of power distribution in distributed new energy power generation stations. How to make the new energy power generation stations distributed in various places generate electricity reasonably and efficiently has become a current research hotspot.

[0003] The current method for controlling a new energy power generation station is to add new power generation facilities on the basis of the original power generation station to meet the demand for plant electricity, that is, self-use load, in order to enable the new energy power generation station to meet both self-load and external load. This method increases production costs and is only applicable to photovoltaic power generation, with poor applicability. Summary of the Invention

[0004] The embodiments of the present invention provide a power supply control method, device, electronic device, and storage medium for a distributed power generation station based on edge computing, which can optimize the power supply mode of each new energy power generation station without changing the infrastructure, reduce the dependence of the new energy power generation station on the external power grid, reduce the electricity cost, and improve the power supply efficiency of the new energy power generation station.

[0005] In a first aspect, the embodiments of the present invention provide a power supply control method for a distributed power generation station based on edge computing, which is applied to a centralized server and includes:

[0006] Obtain the basic information and historical operation data of at least one power generation station, and respectively construct a self-use load data set for each power generation station based on the basic information and historical operation data of each power generation station; the self-use load data set includes the identifier of the power generation station;

[0007] For each power generation station, determine the self-use load characteristics and output characteristics of the current power generation station based on the self-use load data set of the current power generation station;

[0008] Determine the edge computing unit of the current power generation station according to the identifier of the current power generation station, and send the self-use load characteristics, output characteristics, and self-use load data set of the current power generation station to the edge computing unit, so that the edge computing unit determines the self-use load power supply method of the current power generation station based on the self-use load characteristics and the output characteristics, and controls the power supply of the current power generation station according to the self-use load power supply method.

[0009] In a second aspect, an embodiment of the present invention provides a power supply control method for a distributed power generation station based on edge computing, which is applied to an edge computing unit. The method includes:

[0010] Receive the self-use load characteristics, output characteristics, and self-use load data set of the power generation station sent by the centralized server;

[0011] Determine whether there is surplus power generation in the power generation station according to the pre-determined power generation plan and the output characteristics; if there is the surplus power generation, store the surplus power generation in the energy storage unit of the power generation station;

[0012] Obtain the stored energy of the energy storage unit, and determine the power supply control method according to the stored energy, the pre-determined control coefficient, and the pre-obtained electricity price information;

[0013] Based on the power supply control method, the self-use load characteristics, and the pre-determined power supply control constraints, determine the self-use load power supply method of the power generation station, and control the power supply of the power generation station according to the self-use load power supply method.

[0014] In a third aspect, an embodiment of the present invention provides a power supply control device for a distributed power generation station based on edge computing, which is applied to a centralized server and includes:

[0015] A data acquisition module, configured to acquire the basic information and historical operation data of at least one power generation station, and respectively construct the self-use load data set of each power generation station based on the basic information and historical operation data of each power generation station; the self-use load data set includes the identifier of the power generation station;

[0016] A feature determination module, configured to, for each power generation station, determine the self-use load characteristics and output characteristics of the current power generation station based on the self-use load data set of the current power generation station;

[0017] A data sending module, configured to determine the edge computing unit of the current power generation station according to the identifier of the current power generation station, and send the self-use load characteristics, output characteristics, and self-use load data set of the current power generation station to the edge computing unit, so that the edge computing unit determines the self-use load power supply method of the current power generation station based on the self-use load characteristics and the output characteristics, and controls the power supply of the current power generation station according to the self-use load power supply method.

[0018] In a fourth aspect, an embodiment of the present invention provides a power supply control device for a distributed power generation station based on edge computing, which is applied to an edge computing unit and includes:

[0019] A data receiving module, configured to receive the self-use load characteristics, output characteristics, and self-use load data set of the power generation station sent by the centralized server;

[0020] An electricity quantity determination module, configured to determine whether there is surplus power generation in the power generation station according to a pre-determined power generation plan and the output characteristics; if there is the surplus power generation, store the surplus power generation in the energy storage unit of the power generation station;

[0021] A method determination module, configured to obtain the stored electricity quantity of the energy storage unit, and determine a power supply control method according to the stored electricity quantity, a pre-determined control coefficient, and pre-obtained electricity price information;

[0022] A power supply control module, configured to determine a self-use load power supply method of the power generation station based on the power supply control method, the self-use load characteristics, and pre-determined power supply control constraints, and control the power supply of the power generation station according to the self-use load power supply method.

[0023] In a fifth aspect, an embodiment of the present invention further provides an electronic device, where the electronic device includes a memory, a processor, and a computer program stored on the memory and executable on the processor, and when the processor executes the program, it implements a power supply control method for a distributed power generation station based on edge computing as described in any one of the embodiments of the present invention.

[0024] In a sixth aspect, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, it implements a power supply control method for a distributed power generation station based on edge computing as described in any one of the embodiments of the present invention.

[0025] In the embodiments of the present invention, the basic information and historical operation data of at least one power generation station are obtained, and the self-use load data sets of each power generation station are respectively constructed based on the basic information and historical operation data of each power generation station; the self-use load data set includes the identifier of the power generation station; for each power generation station, the self-use load characteristics and output characteristics of the current power generation station are determined based on the self-use load data set of the current power generation station; the edge computing unit of the current power generation station is determined according to the identifier of the current power generation station, and the self-use load characteristics, output characteristics and self-use load data set of the current power generation station are sent to the edge computing unit, so that the edge computing unit determines the self-use load power supply mode of the current power generation station based on the self-use load characteristics and output characteristics, and controls the power supply of the current power generation station according to the self-use load power supply mode. That is, in the embodiments of the present invention, by constructing the self-use load data set and determining the self-use load characteristics and output characteristics, the self-use load characteristics and change rules of each power generation station can be more comprehensively understood. Sending the self-use load characteristics and processing characteristics to the edge computing unit enables the edge computing unit to determine the self-use load power supply control mode of the current power generation station, so that on the basis of not changing the infrastructure, the power supply modes of each new energy power generation station can be optimized, the dependence of the new energy power generation station on the external power grid can be reduced, the electricity cost can be reduced, and the power supply efficiency of the new energy power generation station can be improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for the embodiments. It should be understood that the following drawings only show some embodiments of the present invention, and therefore should not be regarded as limiting the scope. For those of ordinary skill in the art, other related drawings can be obtained based on these drawings without creative efforts.

[0027] Figure 1 FIG. 1 is a first flowchart of a power supply control method for a distributed power generation station based on edge computing provided by an embodiment of the present invention;

[0028] Figure 2 FIG. 2 is a second flowchart of a power supply control method for a distributed power generation station based on edge computing provided by an embodiment of the present invention;

[0029] Figure 3 FIG. 3 is a first schematic structural diagram of a power supply control device for a distributed power generation station based on edge computing provided by an embodiment of the present invention;

[0030] Figure 4 FIG. 4 is a second schematic structural diagram of a power supply control device for a distributed power generation station based on edge computing provided by an embodiment of the present invention;

[0031] Figure 5 FIG. 5 is a schematic structural diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0032] The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It can be understood that the specific embodiments described herein are only for explaining the present invention, rather than limiting the present invention. In addition, it should be noted that, for the sake of convenience of description, only the parts related to the present invention rather than all the structures are shown in the accompanying drawings.

[0033] Figure 1 FIG. 1 is a first flowchart of a power supply control method for a distributed power generation station based on edge computing according to an embodiment of the present invention. The method according to the embodiment of the present invention can optimize the power supply modes of each new energy power generation station without changing the infrastructure, reduce the dependence of the new energy power generation station on the external power grid, reduce the power consumption cost, and improve the power supply efficiency of the new energy power generation station. This method can be executed by a power supply control device for a distributed power generation station based on edge computing provided by an embodiment of the present invention, and this device can be implemented in a software and / or hardware manner. The following embodiments will be described by taking this device integrated in an electronic device as an example, and the electronic device can be a computer device or a server. Refer to Figure 1 , the method specifically may include the following steps:

[0034] Step 101, obtain the basic information and historical operation data of at least one power generation station, and respectively construct the self-use load data sets of each power generation station based on the basic information and historical operation data of each power generation station.

[0035] Among them, the basic information of the power generation station includes the identifier of the power generation station, and the identifier of the power generation station is used to mark different new energy power generation stations, such as the name or number of the power generation station, etc. The basic information of the power generation station also includes the type information, geographical location information, environmental information, and equipment information of the power generation station, etc. The types of power generation stations include photovoltaic power generation, wind power generation, or hydropower generation, etc. The environmental information includes the power consumption environment information and the power generation environment information. The power consumption environment information includes information such as season, weather, temperature, humidity, and light intensity that affect the self-use load of the new energy power generation station. The power generation environment information includes information such as temperature, humidity, light intensity, wind power data, and water conservancy data that affect the power generation output of the new energy power generation station. The equipment information of the power generation station includes the basic information of the power consumption equipment of the power generation station, and the basic information of the power consumption equipment includes the type of power consumption equipment, such as lighting fixtures, air conditioners, or production machines, etc., and also includes equipment specifications and parameters, such as power and capacity, etc. The historical operation data includes power generation plan data, historical power consumption data, historical transmission data, and equipment operation status data, etc.

[0036] The centralized server can be a power grid server or a power grid cloud server. The centralized server usually has strong computing power and a large amount of storage space, can process a large amount of data, and provide advanced functions such as data analysis and machine learning. The centralized server is used to collect and process historical data and real-time data of new energy power generation stations distributed in various places, and conduct centralized processing and analysis on them. The power generation stations are distributed new energy power generation stations. The self-use load refers to the electric energy consumed by various equipment and systems within the power generation station during operation. In actual applications, the new energy power generation station will preferentially use the electricity it generates to meet its own power demand. When the power generation exceeds the self-use demand, the excess power can be sold; on the contrary, if the power generation cannot meet the self-use demand, power needs to be purchased from the external power grid.

[0037] In an optional implementation manner, the centralized server can receive the basic information and historical operation data of each power generation station. After receiving the basic information and historical operation data of each power generation station, it sorts the basic information and historical operation data of each power generation station according to time information respectively, and obtains the electricity consumption time series data and power generation time series data. The electricity consumption time series data includes the electricity consumption power or electricity quantity data at different time points, and the time unit can be hours, days, months, etc. The power generation time series data includes the power generation power or electricity quantity data at different time points, and the time unit can be hours, days, months, etc. The self-use load data set of each power generation station is obtained according to the basic information and historical operation data of the power generation station. The self-use load data set of the power generation station includes: the identifier, type, geographical location, equipment information, electricity consumption time series data, power generation time series data, electricity consumption environment information, power generation environment information, power generation plan data, equipment operation status data, electricity price information, etc. of the power generation station.

[0038] Step 102: For each power generation station, determine the self-use load characteristics and output characteristics of the current power generation station based on the self-use load data set of the current power generation station.

[0039] Among them, the self-use load characteristic is the characteristic of the power consumption required to meet the operation of its own equipment and facilities during the operation of the new energy power generation station. The output characteristic is the characteristic of the power output capacity of the new energy power generation station on different time scales (such as ultra-short cycle, short cycle, intraday, multi-day, week or month). After obtaining the self-use load data set of the power generation station, the self-use load characteristics and output characteristics of the power generation station can be determined according to the self-use load data set. In this solution, optionally, determining the self-use load characteristics and output characteristics of the current power generation station based on the self-use load data set of the current power generation station includes the following steps A1 - step A3:

[0040] Step A1: Determine the theoretical load characteristics of the current power generation station based on the pre-determined electricity consumption efficiency coefficient, the operation duration, operation status data and operation power of each electricity consumption equipment of the current power generation station.

[0041] Among them, the self-use load dataset includes the operation duration, operation status data, and operation power of each electrical equipment in the power station. The theoretical load characteristic is a load characteristic constructed based on the electrical equipment information and equipment operation status data. The theoretical load characteristic is the load characteristic of an electrical equipment under ideal conditions, and it reflects the operation status of the equipment without external interference. The electricity consumption efficiency coefficient is a coefficient determined in advance according to big data in the field, etc. The theoretical load characteristic of the power station is constructed according to the electricity consumption efficiency coefficient, the operation duration, operation status data, and operation power of each electrical equipment in the power station as follows:

[0042] ;

[0043] Among them, is the theoretical load characteristic, is the electrical equipment number, is the total number of equipment, is the electricity consumption efficiency coefficient of the electrical equipment numbered , is the operation duration of the electrical equipment numbered , is the equipment operation status data of the electrical equipment numbered , when operating , when stopped , is the power during operation of the electrical equipment numbered , is the summation symbol.

[0044] Step A2: Determine the self-use load characteristic of the current power station according to the electricity consumption data, environmental data, and theoretical load characteristic.

[0045] Among them, the self-use load characteristic is a load characteristic obtained by updating the theoretical load characteristic through electricity consumption data and environmental data. The self-use load characteristic takes into account various influencing factors in the actual operation environment of the power station, such as environmental conditions, equipment aging, and maintenance status, etc. The electricity consumption data includes electricity consumption time series data, and the environmental data includes electricity consumption environmental data and power generation environmental data. Specifically, after obtaining the theoretical load characteristic, the electricity consumption environmental characteristic can be determined according to the electricity consumption environmental data in the environmental data, and the theoretical load characteristic is updated according to the electricity consumption time series data and the electricity consumption environmental characteristic to obtain the self-use load characteristic of the power station as follows:

[0046] ;

[0047] Among them, is the self-use load characteristic, is a preset smoothing coefficient and , is the preset influence coefficient of power consumption temperature, is the preset influence coefficient of power consumption humidity, is the power consumption time series data, is the power consumption temperature, is the power consumption humidity, is the integral symbol, is the start time, is the end time.

[0048] Step A3: Determine the output characteristics of the current power generation station based on the power generation data and environmental data.

[0049] Among them, the output characteristics are the power output capabilities of the power generation station at different time scales, and the output characteristics can reflect the characteristics of the power output changes during the operation of the power generation station. Specifically, new energy power generation stations rely on wind or light, and their power generation will change with the change of weather conditions. Due to the unpredictability of weather conditions, the output characteristics of new energy power generation also have a certain degree of randomness.

[0050] In this solution, time series analysis can be performed on historical power generation data to determine the weights of power generation in each time period and obtain the weight coefficients of the power generation time series data. Determine the weight coefficients of the power generation environment characteristics according to the type of power generation station and environmental factors. For example, for wind power generation, environmental factors such as wind speed and wind direction need to be considered; for photovoltaic power generation, environmental factors such as sunlight intensity and temperature need to be considered. By analyzing the influence of these environmental factors on power generation, the weight coefficients of the power generation environment characteristics can be determined. Further, comprehensively considering the power generation time series data and the environmental characteristics of new energy power generation, fit the adjustment coefficient of the output characteristics. Determine the output characteristics according to the preset power generation environment coefficient, power generation time series data weight coefficient, power generation environment characteristic weight coefficient, power generation time series data, and output characteristic adjustment coefficient as:

[0051] ;

[0052] Among them, is the output characteristic, is the power generation time series data weight coefficient, is of type is the power generation environment characteristic weight coefficient of the power generation station, is the adjustment coefficient of the output characteristic, represents the influence of the power generation station of type on power generation in its corresponding environment, that is, the power generation environment characteristic, is the integral of power generation over time.

[0053] By accurately constructing the theoretical load characteristics of a power generation station, it helps to identify and optimize inefficient or over-consuming electricity-using links, thereby overall improving the electricity-using efficiency of the power generation station. Based on the theoretical load characteristics, combined with electricity-using data and environmental data for updating, the obtained self-use load characteristics can be closer to the actual operating conditions. The output characteristics can accurately reflect the power output capacity of the power generation station at different time scales, including its randomness with changes in weather conditions. Accurately determining the output characteristics provides a basis for formulating a reasonable power generation plan and strongly supports the realization of sustainable energy development.

[0054] Step 103: Determine the edge computing unit of the current power generation station according to the identifier of the current power generation station, and send the self-use load characteristics, output characteristics, and self-use load data set of the current power generation station to the edge computing unit, so that the edge computing unit determines the self-use load power supply method of the current power generation station based on the self-use load characteristics and output characteristics, and controls the power supply of the current power generation station according to the self-use load power supply method.

[0055] Among them, the edge computing unit is a computing device pre-deployed at the network edge of the power generation station, used to process, analyze, and store data (data of the power generation station) close to the data source. In an optional implementation manner, the working environment and required protection measures of the edge computing unit can be determined according to the climate conditions, terrain features, and possible natural disaster risks at the location where the power generation station is located. Deploy the edge computing unit close to the power generation station to reduce the data transmission distance, reduce latency, and improve the response speed. Each new energy power generation station has a corresponding edge computing unit, and according to the identifier of the power generation station, the edge computing unit of the power generation station can be determined. The edge computing unit can reduce the cost of data transmission and storage, and at the same time reduce the dependence of the power generation station on the central server, saving the operation cost. The self-use load power supply method is used to indicate how to reasonably allocate and utilize the stored electric energy under specific conditions in the power generation station to achieve the power supply for the self-use load and reduce the dependence on the external power grid.

[0056] After the centralized server determines the self-use load characteristics and output characteristics of each power generation station, according to the identifier of the power generation station, it sends the self-use load characteristics and output characteristics to the corresponding edge computing unit. After receiving the self-use load characteristics and output characteristics, the edge computing unit can analyze the self-use load characteristics and output characteristics, and formulate a reasonable power supply method according to the self-use load characteristics and output characteristics of the power generation station, combined with the capacity and charge-discharge characteristics of the energy storage system. For example, when the production capacity of the new energy power generation facility is low, use the energy storage system to provide power support for the self-use load; when the production capacity is high, store the excess electric energy for future use.

[0057] The technical solution of this embodiment is to obtain the basic information and historical operation data of at least one power generation station, and respectively construct the self-use load data sets of each power generation station based on the basic information and historical operation data of each power generation station; the self-use load data set includes the identifier of the power generation station; for each power generation station, determine the self-use load characteristics and output characteristics of the current power generation station based on the self-use load data set of the current power generation station; determine the edge computing unit of the current power generation station according to the identifier of the current power generation station, and send the self-use load characteristics, output characteristics and self-use load data set of the current power generation station to the edge computing unit, so that the edge computing unit determines the self-use load power supply method of the current power generation station based on the self-use load characteristics and output characteristics, and controls the power supply of the current power generation station according to the self-use load power supply method. The technical solution of this embodiment can more comprehensively understand the self-use load characteristics and change rules of each power generation station by constructing the self-use load data set and determining the self-use load characteristics and output characteristics. Sending the self-use load characteristics and processing characteristics to the edge computing unit enables the edge computing unit to determine the self-use load power supply control method of the current power generation station, so that it is possible to optimize the power supply methods of each new energy power generation station without changing the infrastructure, reduce the dependence of the new energy power generation station on the external power grid, reduce the electricity cost, and improve the power supply efficiency of the new energy power generation station.

[0058] Figure 2 This is the second flowchart of a power supply control method for a distributed power generation station based on edge computing provided by an embodiment of the present invention. This embodiment is a refinement based on the above embodiment. The specific method can be as Figure 2 shown, and the method may include the following steps:

[0059] Step 201, receive the self-use load characteristics, output characteristics and self-use load data set of the power generation station sent by the centralized server.

[0060] Among them, the centralized server is used to collect and process historical data and real-time data, etc. of new energy power generation stations distributed in various places, and perform centralized processing and analysis on them. The centralized server can construct a self-use load data set according to the basic information and historical operation data of the power generation station, determine the self-use load characteristics and output characteristics of the power generation station according to the self-use load data set, and send the self-use load characteristics, output characteristics and self-use load data set of the power generation station to the edge computing unit. The edge computing unit can receive the self-use load characteristics, output characteristics and self-use load data set of the power generation station sent by the centralized server in real time, so as to determine the self-use load power supply method of the power generation station according to the self-use load characteristics, output characteristics and self-use load data set of the power generation station.

[0061] Step 202, determine whether there is surplus power generation in the power generation station according to the pre-determined power generation plan and output characteristics; if there is surplus power generation, store the surplus power generation in the energy storage unit of the power generation station.

[0062] Among them, the surplus power generation is the amount of electricity remaining in the energy storage unit after the power station meets its own load. The power generation plan includes the planned power generation of the power station, and the planned power generation is the amount of electricity that the power station can provide in the plan. According to the planned power generation and output characteristics, it can be determined whether the power station has surplus power generation. In this scheme, optionally, it is determined whether the power station has surplus power generation according to a predetermined power generation plan and output characteristics, including: determining the planned output of the power station according to the power generation plan, and determining the difference between the planned output and the output characteristics as the power generation difference; when the power generation difference is less than the preset value, it is determined that the power station has surplus power generation; when the power generation difference is greater than or equal to the preset value, it is determined that the power station does not have surplus power generation.

[0063] Among them, the planned output is the power output that the power station should generate in a specific time period based on the power generation plan. The output characteristics are the power output characteristics exhibited by the power station during actual operation. By calculating the difference between the planned output and the output characteristics, the degree of deviation between the actual operation of the power station and the expected plan can be evaluated. The preset value is a value determined based on the domain big data, and the preset value can be 0. If the power generation difference is less than the preset value, it means that the actual output of the power station is higher than the planned output, thereby generating surplus power output, that is, it is determined that the power station has surplus power generation. On the contrary, when the power generation difference is greater than the preset value, it means that the actual output of the power station is lower than or close to the planned output, and not enough surplus power output is generated, that is, it is determined that the power station does not have surplus power generation.

[0064] ;

[0065] in, The planned output is obtained based on the power generation plan. The difference in power generation; specifically, the energy storage unit can convert excess electrical energy into other forms of energy (such as chemical energy, mechanical energy, etc.) and store it for future use. When a power station generates surplus power, the surplus power can be transported to the energy storage unit for storage. During the storage process, electrical energy may be converted into other forms of energy and stored in specific media (such as batteries, flywheels, etc.).

[0066] In the above steps, by comparing the power generation plan with the output characteristics, the surplus power generation of the power station in different time periods can be accurately identified. It helps to adjust the power generation strategy according to real-time data and allocate excess power resources to more needed time periods or areas, thereby avoiding energy waste and improving overall energy utilization efficiency. When there is surplus power generation in the power station, it is stored for emergency use. Under the premise of not affecting normal power supply, the surplus power generation can be reasonably used to reduce the dependence on energy storage facilities and investment costs.

[0067] Step 203: Obtain the stored energy of the energy storage unit, and determine the power supply control method according to the stored energy, a pre-determined control coefficient, and pre-obtained electricity price information.

[0068] Among them, the stored energy is the electricity stored in the energy storage unit. The control coefficient includes a stored energy control coefficient and an external grid electricity control coefficient. The stored energy control coefficient is used to adjust the proportion of the energy storage unit in the total power supply. The external grid electricity control coefficient is used to adjust the proportion of the external grid in the total power supply. The electricity price information includes the electricity price of the external grid power supply. In this solution, optionally, determining the power supply control method according to the stored energy, a pre-determined control coefficient, and pre-obtained electricity price information includes the following steps B1 - step B2:

[0069] Step B1: Determine the first product as the product of the stored energy control coefficient, the stored energy that the energy storage unit needs to provide, and the power supply cost of the energy storage unit; determine the second product as the product of the external grid electricity control coefficient, the pre-determined external grid electricity, and the power supply electricity price of the external grid.

[0070] After obtaining the stored energy of the energy storage unit, determine the first product according to the stored energy control coefficient, the stored energy that the energy storage unit needs to provide, and the power supply cost of the energy storage unit as: . Among them, is the stored energy control coefficient, is the stored energy provided by the energy storage unit, is the cost of power supply by the energy storage unit. Determine the second product according to the external grid electricity control coefficient, the pre-determined external grid electricity, and the power supply electricity price of the external grid as: . is the external grid electricity control coefficient, is the power supply electricity price of the external grid obtained from the electricity price information, is the external grid electricity provided by the external grid.

[0071] Step B2: Determine the power supply control method based on the first product and the second product.

[0072] Specifically, the goal of the power supply control method is to minimize the power supply cost while meeting the self-use load demand, so that the power station can rationally utilize the resources of the energy storage unit and the external grid through the power supply control method, and maximize the economic benefits on the premise of ensuring the stability and reliability of the power supply. Therefore, after determining the first product and the second product, determine the power supply control method as:

[0073] , where is the power supply cost of the self-use load, is the minimum value symbol.

[0074] In the above steps, the economic cost of the energy storage unit when providing power is quantified by the energy storage power control coefficient, the energy storage power that the energy storage unit needs to provide, and the power supply cost of the energy storage unit, providing an important decision-making basis for determining the subsequent power supply control method. Similarly, the cost of purchasing power from the external power grid can be accurately evaluated through the second product, providing data support for formulating a reasonable power supply control method. After obtaining the first product and the second product, selecting the power supply method with lower cost (i.e., energy storage power supply or power purchase from the external power grid) through the power supply control method can ensure that while meeting the self-use load demand, the power supply cost is minimized to improve the overall economic benefit.

[0075] Step 204: Determine the self-use load power supply method of the power station based on the power supply control method, the self-use load characteristics, and the pre-determined power supply control constraints, and control the power supply of the power station according to the self-use load power supply method.

[0076] Among them, the power supply control constraints ensure that when optimizing the power supply control method of the self-use load of new energy power generation, various factors can be balanced to achieve double guarantees of economic benefits and power supply stability. The power supply control constraints in this solution are: the energy storage power that the energy storage unit needs to provide is less than or equal to the energy storage power, and the self-use load characteristics are greater than or equal to the sum of the energy storage power that the energy storage unit needs to provide and the power from the external power grid. That is, the power supply control method is restricted by the following constraints:

[0077] ;

[0078] Among them, is the energy storage value of the detected energy storage unit. According to this constraint condition, when , the self-use load can be restricted to achieve more output of the generated power to the outside. Further, determine the self-use load power supply method of the power station according to the power supply control method and the power supply control constraints. The self-use load power supply method includes how the power supply station supplies power to the self-use equipment, such as reducing the number of air conditioners turned on, deactivating some electrical equipment, or reducing the power of some equipment. After determining the self-use load power supply method, the self-use power supply method can be sent to the staff so that the staff can adjust the power supply mode of the power station according to the self-use load power supply method, and thus control the power supply of the power station according to the self-use load power supply method.

[0079] In the technical solution of this embodiment, the self-use load characteristics, output characteristics, and self-use load data set of a power generation station sent by a centralized server are received; whether there is surplus power generation in the power generation station is determined according to a pre-determined power generation plan and output characteristics; if there is surplus power generation, the surplus power generation is stored in the energy storage unit of the power generation station; the stored energy of the energy storage unit is obtained, and a power supply control method is determined according to the stored energy, a pre-determined control coefficient, and pre-obtained electricity price information; based on the power supply control method, self-use load characteristics, and pre-determined power supply control constraints, the self-use load power supply method of the power generation station is determined, and the power supply of the power generation station is controlled according to the self-use load power supply method. In the technical solution of this embodiment, the power generation capacity of the power generation station is evaluated according to the power generation plan and output characteristics. By comparing the power generation plan and the actual output situation, it can be judged whether there is surplus power generation in the power generation station. The surplus power generation is stored in the energy storage unit of the power generation station. Through the real-time monitoring and management of the energy storage unit, the time difference between power generation and power consumption can be effectively balanced, and the energy utilization efficiency can be improved. Based on factors such as stored energy, control coefficient, and electricity price information, a reasonable power supply control method is determined by comprehensively considering economic benefits and power supply stability. Ensure the maximization of economic benefits while meeting the self-use load demand, and lay a solid foundation for the sustainable development of new energy power generation stations.

[0080] Figure 3 FIG. 4 is a first structural schematic diagram of a power supply control device for a distributed power generation station based on edge computing provided by an embodiment of the present invention. This device is applicable to execute a power supply control method for a distributed power generation station based on edge computing provided by an embodiment of the present invention. As Figure 3 shown, this device may specifically include:

[0081] A data acquisition module 301, configured to acquire the basic information and historical operation data of at least one power generation station, and respectively construct a self-use load data set for each power generation station based on the basic information and historical operation data of each power generation station; the self-use load data set includes the identifier of the power generation station;

[0082] A feature determination module 302, configured to, for each power generation station, determine the self-use load characteristics and output characteristics of the current power generation station based on the self-use load data set of the current power generation station;

[0083] A data sending module 303, configured to determine the edge computing unit of the current power generation station according to the identifier of the current power generation station, and send the self-use load characteristics, output characteristics, and self-use load data set of the current power generation station to the edge computing unit, so that the edge computing unit determines the self-use load power supply method of the current power generation station based on the self-use load characteristics and the output characteristics, and controls the power supply of the current power generation station according to the self-use load power supply method.

[0084] Optionally, the self-use load data set includes the operation data, power consumption data, power generation data, and environmental data of each electrical device in the current power generation station; the feature determination module 302 is specifically configured to: determine the theoretical load feature of the current power generation station based on the pre-determined power consumption efficiency coefficient, the operation duration, operation status data, and operation power of each electrical device in the current power generation station;

[0085] Determine the self-use load feature of the current power generation station according to the power consumption data, the environmental data, and the theoretical load feature;

[0086] Determine the output feature of the current power generation station based on the power generation data and the environmental data.

[0087] The power supply control device of a distributed power generation station based on edge computing provided by an embodiment of the present invention can execute the power supply control method provided by any embodiment of the present invention, and has the corresponding functional modules and beneficial effects for executing the method. The content not described in detail in this embodiment can be referred to the description in any method embodiment of the present invention.

[0088] Figure 4 FIG. is a second structural schematic diagram of a power supply control device of a distributed power generation station based on edge computing provided by an embodiment of the present invention. This device is applicable to execute a power supply control method of a distributed power generation station based on edge computing provided by an embodiment of the present invention. As Figure 4 shown, this device may specifically include:

[0089] A data receiving module 401, configured to receive the self-use load feature, output feature, and self-use load data set of the power generation station sent by the centralized server;

[0090] A power quantity determination module 402, configured to determine whether there is surplus power generation in the power generation station according to the pre-determined power generation plan and the output feature; if there is the surplus power generation, store the surplus power generation in the energy storage unit of the power generation station;

[0091] A method determination module 403, configured to obtain the stored energy quantity of the energy storage unit, and determine the power supply control method according to the stored energy quantity, the pre-determined control coefficient, and the pre-obtained electricity price information;

[0092] A power supply control module 404, configured to determine the self-use load power supply method of the power generation station based on the power supply control method, the self-use load feature, and the pre-determined power supply control constraint, and control the power supply of the power generation station according to the self-use load power supply method.

[0093] Optionally, the power quantity determination module 402 is specifically configured to: determine the planned output of the power generation station according to the power generation plan, and determine the power generation difference as the difference between the planned output and the output feature;

[0094] When the power generation difference is less than or equal to a preset value, it is determined that the power generation station has the surplus power generation; when the power generation difference is greater than the preset value, it is determined that the power generation station does not have the surplus power generation.

[0095] Optionally, the control coefficient includes an energy storage power control coefficient and an external network power control coefficient. The method determination module 403 is specifically configured to: determine the product of the energy storage power control coefficient, the energy storage power that the energy storage unit needs to provide, and the power supply cost of the energy storage unit as a first product;

[0096] Determine the product of the external network power control coefficient, the pre-determined external network power, and the power supply price of the external network as a second product;

[0097] Determine the power supply control method based on the first product and the second product.

[0098] Optionally, the power supply control constraint is that: the energy storage power that the energy storage unit needs to provide is less than or equal to the energy storage power, and the self-use load characteristic is greater than or equal to the sum of the energy storage power that the energy storage unit needs to provide and the external network power.

[0099] The power supply control device of a distributed power generation station based on edge computing provided by an embodiment of the present invention can execute the power supply control method of a distributed power generation station based on edge computing provided by any embodiment of the present invention, and has corresponding functional modules and beneficial effects for executing the method. The content not described in detail in this embodiment can be referred to the description in any method embodiment of the present invention.

[0100] Figure 5 It is a schematic structural diagram of an electronic device provided by an embodiment of the present invention. Refer to Figure 5 , Figure 5 The displayed electronic device 12 is only an example and should not bring any limitation to the functions and usage scope of the embodiments of the present application. As Figure 5 shown, the electronic device 12 is presented in the form of a general computing device. The components of the electronic device 12 may include but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 connecting different system components (including the system memory 28 and the processing unit 16).

[0101] Bus 18 represents one or more of several types of bus architectures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of the various bus architectures. By way of example, and not limitation, these architectures include the Industry Standard Architecture (ISA) bus, Micro Channel Architecture (MAC) bus, Enhanced ISA bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.

[0102] Electronic device 12 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by electronic device 12, including both volatile and nonvolatile media, removable and non-removable media.

[0103] System memory 28 can include computer system readable media in the form of volatile memory, such as random access memory (RAM) 30 and / or cache memory 32. Electronic device 12 may further include other removable / non-removable, volatile / nonvolatile computer system storage media. By way of example only, storage system 34 can be used for reading from and writing to non-removable, nonvolatile magnetic media ( Figure 5 not shown and typically called a "hard disk drive"). Although Figure 5 not shown in the figures, a disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk"), and an optical disk drive for reading from and writing to a removable, nonvolatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) can be provided. In these instances, each drive can be connected to bus 18 by one or more data media interfaces. Memory 28 can include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of the embodiments of the present application.

[0104] A program / utility 40 having a set (at least one) of program modules 42 can be stored, for example, in memory 28. Such program modules 42 include, but are not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may include an implementation of a network environment. Program modules 42 generally carry out the functions and / or methods of the embodiments described herein.

[0105] The electronic device 12 can also communicate with one or more external devices 14 (such as a keyboard, a pointing device, a display 24, etc.), and can also communicate with one or more devices that enable a user to interact with the electronic device 12, and / or communicate with any device that enables the electronic device 12 to communicate with one or more other computing devices (such as a network card, a modem, etc.). Such communication can be carried out through an input / output (I / O) interface 22. Moreover, the electronic device 12 can also communicate with one or more networks (such as a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) through a network adapter 20. As shown in the figure, the network adapter 20 communicates with other modules of the electronic device 12 through a bus 18. It should be understood that although Figure 5 not shown in the figure, other hardware and / or software modules can be used in combination with the electronic device 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, etc.

[0106] The processing unit 16 executes various functional applications and data processing by running programs stored in the system memory 28. For example, it implements a power supply control method for a distributed power generation station based on edge computing provided by an embodiment of the present invention: obtaining basic information and historical operation data of at least one power generation station, and respectively constructing a self-use load data set for each power generation station based on the basic information and historical operation data of each power generation station; the self-use load data set includes the identifier of the power generation station; for each power generation station, determining the self-use load characteristics and output characteristics of the current power generation station based on the self-use load data set of the current power generation station; determining the edge computing unit of the current power generation station according to the identifier of the current power generation station, and sending the self-use load characteristics, output characteristics, and self-use load data set of the current power generation station to the edge computing unit, so that the edge computing unit determines the self-use load power supply mode of the current power generation station based on the self-use load characteristics and the output characteristics, and controls the power supply of the current power generation station according to the self-use load power supply mode.

[0107] An embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, it implements a power supply control method for a distributed power generation station based on edge computing provided by all embodiments of the present invention: obtaining basic information and historical operation data of at least one power generation station, and respectively constructing a self-use load data set for each power generation station based on the basic information and historical operation data of each power generation station; the self-use load data set includes the identifier of the power generation station; for each power generation station, determining the self-use load characteristics and output characteristics of the current power generation station based on the self-use load data set of the current power generation station; determining the edge computing unit of the current power generation station according to the identifier of the current power generation station, and sending the self-use load characteristics, output characteristics and self-use load data set of the current power generation station to the edge computing unit, so that the edge computing unit determines the self-use load power supply method of the current power generation station based on the self-use load characteristics and the output characteristics, and controls the power supply of the current power generation station according to the self-use load power supply method. The computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium can be, for example, but not limited to, electronic devices, devices or components of electricity, magnetism, light, electromagnetic, infrared, or semiconductor, or any combination of the above. More specific examples (non-exhaustive list) of the computer-readable storage medium include: electrical connections with one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the above. In this document, the computer-readable storage medium can be any tangible medium that contains or stores a program, and this program can be used by or combined with an instruction-executing electronic device, device or component.

[0108] The computer-readable signal medium can include a data signal propagated in a baseband or as part of a carrier wave, in which the computer-readable program code is carried. Such a propagated data signal can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The computer-readable signal medium can also be any computer-readable medium other than the computer-readable storage medium, and this computer-readable medium can send, propagate or transmit a program for use by or combined with an instruction-executing electronic device, device or component.

[0109] The program code included on the computer-readable medium can be transmitted by any suitable medium, including but not limited to wireless, wire, optical cable, RF, etc., or any suitable combination of the above.

[0110] Computer program code for performing the operations of the present invention may be written in one or more programming languages or combinations thereof, including object-oriented programming languages such as Java, Smalltalk, C++, and also including conventional procedural programming languages such as the "C" language or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, executed as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network - including a local area network (LAN) or a wide area network (WAN) - or, alternatively, may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0111] Note that the above is only the preferred embodiment of the present invention and the technical principles applied. Those skilled in the art will understand that the present invention is not limited to the specific embodiments here, and various obvious changes, re-adjustments, and substitutions can be made by those skilled in the art without departing from the protection scope of the present invention. Therefore, although the present invention has been described in more detail through the above embodiments, the present invention is not limited to the above embodiments. Without departing from the concept of the present invention, more other equivalent embodiments may be included, and the scope of the present invention is determined by the scope of the appended claims.

Claims

1. A power supply control method for a distributed power generation station based on edge computing, characterized in that, The method includes: The central server obtains the basic information and historical operation data of at least one power generation station, and respectively constructs the self-use load data sets of each power generation station based on the basic information and historical operation data of each power generation station; the self-use load data set includes the identifier of the power generation station; wherein, the self-use load data set includes the operation data, power consumption data, power generation data and environmental data of each electrical device of the current power generation station; For each power generation station, the central server determines the self-use load characteristics and output characteristics of the current power generation station based on the self-use load data set of the current power generation station, including: determining the theoretical load characteristics of the current power generation station based on the pre-determined power consumption efficiency coefficient, the operation duration, operation status data and operation power of each electrical device of the current power generation station; determining the self-use load characteristics of the current power generation station according to the power consumption data, the environmental data and the theoretical load characteristics; the self-use load characteristics are the characteristics of the power consumption required to meet the operation of its own equipment and facilities during the operation of the new energy power generation station; The central server determines the output characteristics of the current power generation station based on the power generation data and the environmental data, including: determining the output characteristics as: according to the pre-determined power generation environment characteristics, power generation time series data weight coefficient, power generation environment characteristics weight coefficient, power generation time series data and the adjustment coefficient of the output characteristics ； Among them, is the output feature, is the weight coefficient of the power generation time series data, is of type the weight coefficient of the power generation environment feature of the power station, is the adjustment coefficient of the output feature, represents the power generation environment feature of the power station of type, and the power generation environment feature represents the influence on the power generation amount under the environment corresponding to the power station of type ; is the integral of the power generation amount with respect to time and time . The weight coefficient of the power generation time series data is obtained by performing time series analysis on historical power generation data to determine the weights of the power generation amounts in each time period; the weight coefficient of the power generation environment feature is determined according to the type and environmental factors of the power station; the adjustment coefficient of the output feature is fitted according to the power generation time series data and the environmental features of new energy power generation; The central server determines the edge computing unit of the current power generation station according to the identifier of the current power generation station, and sends the self-use load characteristics, output characteristics and self-use load data set of the current power generation station to the edge computing unit, so that the edge computing unit determines the self-use load power supply mode of the current power generation station based on the self-use load characteristics and the output characteristics, and controls the power supply of the current power generation station according to the self-use load power supply mode.

2. The method according to claim 1, wherein The edge computing unit determines the self-use load power supply mode of the current power generation station based on the self-use load characteristics and the output characteristics, and controls the power supply of the current power generation station according to the self-use load power supply mode, including: The edge computing unit receives the self-use load characteristics, output characteristics and self-use load data set of the power generation station sent by the centralized server; the self-use load characteristics are the characteristics of the power consumption required to meet the operation of its own equipment and facilities during the operation of the new energy power generation station; The edge computing unit determines whether there is surplus power generation in the power generation station according to the pre-determined power generation plan and the output characteristics; if there is the surplus power generation, stores the surplus power generation in the energy storage unit of the power generation station; The edge computing unit obtains the stored energy power of the energy storage unit, and determines the power supply control method according to the stored energy power, a pre-determined control coefficient, and pre-obtained electricity price information, including: determining the product of the stored energy power control coefficient, the stored energy power that the energy storage unit needs to provide, and the power supply cost of the energy storage unit as the first product; determining the product of the external network power control coefficient, the pre-determined external network power, and the power supply price of the external network as the second product; determining the power supply control method based on the first product and the second product as follows: the power supply cost of the self-use load of the power station is the minimum value of the sum of the first product and the second product; The edge computing unit determines the power supply method for the self-use load of the power station based on the power supply control method, the self-use load characteristics, and pre-determined power supply control constraints, and controls the power supply of the power station according to the power supply method for the self-use load.

3. The method according to claim 2, wherein The edge computing unit determines whether there is surplus power generation in the power station according to a pre-determined power generation plan and the output characteristics, including: The edge computing unit determines the planned output of the power station according to the power generation plan, and determines the difference between the planned output and the output characteristics as the power generation difference; when the power generation difference is less than or equal to a preset value, it is determined that the power station has the surplus power generation; when the power generation difference is greater than the preset value, it is determined that the power station does not have the surplus power generation.

4. The method according to claim 3, wherein The power supply control constraints are: the stored energy power that the energy storage unit needs to provide is less than or equal to the stored energy power, and the self-use load characteristics are greater than or equal to the sum of the stored energy power that the energy storage unit needs to provide and the external network power.

5. A power supply control device for a distributed power generation station based on edge computing, characterized in that, Including: A data acquisition module, configured to acquire the basic information and historical operation data of at least one power station, and respectively construct a self-use load data set for each power station based on the basic information and historical operation data of each power station; the self-use load data set includes the identifier of the power station; wherein, the self-use load data set includes the operation data, power consumption data, power generation data, and environmental data of each electrical device of the current power station; A feature determination module, configured to determine the self-use load characteristics and output characteristics of the current power station based on the self-use load data set of the current power station for each power station, including: determining the theoretical load characteristics of the current power station based on a pre-determined power consumption efficiency coefficient, the operation duration, operation status data, and operation power of each electrical device of the current power station; determining the self-use load characteristics of the current power station according to the power consumption data, the environmental data, and the theoretical load characteristics; the self-use load characteristics are the characteristics of the power consumption required to meet the operation of its own equipment and facilities during the operation of the new energy power station; Determining the output characteristics of the current power station based on the power generation data and the environmental data; including: determining the output characteristics as follows according to a pre-determined power generation environment characteristic, a power generation time series data weight coefficient, a power generation environment characteristic weight coefficient, the power generation time series data, and an adjustment coefficient of the output characteristics: ； Among them, is the output feature, is the weight coefficient of the power generation time series data, is the weight coefficient of the power generation environment feature of the power station of type ; is the adjustment coefficient of the output feature, represents the power generation environment feature of the power station of type , and the power generation environment feature represents the influence on the power generation amount under the environment corresponding to the power station of type ; is the integral of the power generation amount with respect to time and time . The weight coefficient of the power generation time series data is obtained by performing time series analysis on historical power generation data to determine the weights of the power generation amounts in each time period; the weight coefficient of the power generation environment feature is determined according to the type and environmental factors of the power station; the adjustment coefficient of the output feature is fitted according to the power generation time series data and the environmental features of new energy power generation; A data sending module, configured to determine an edge computing unit of the current power generation station according to an identifier of the current power generation station, and send a self-use load characteristic, an output characteristic, and a self-use load data set of the current power generation station to the edge computing unit, so that the edge computing unit determines a self-use load power supply mode of the current power generation station based on the self-use load characteristic and the output characteristic, and controls power supply of the current power generation station according to the self-use load power supply mode; The data acquisition module, the characteristic determination module, and the data sending module are arranged in a central server.

6. The device according to claim 5, characterized in that, The device further includes: A data receiving module, configured to receive a self-use load characteristic, an output characteristic, and a self-use load data set of a power generation station sent by a centralized server; the self-use load characteristic is a characteristic of power consumption required to meet the operation of its own equipment and facilities during the operation of a new energy power generation station; An electricity quantity determination module, configured to determine whether there is surplus generated electricity in the power generation station according to a pre-determined power generation plan and the output characteristic; if there is the surplus generated electricity, store the surplus generated electricity in an energy storage unit of the power generation station; A mode determination module, configured to obtain an energy storage electricity quantity of the energy storage unit, and determine a power supply control mode according to the energy storage electricity quantity, a pre-determined control coefficient, and pre-acquired electricity price information; A power supply control module, configured to determine a self-use load power supply mode of the power generation station based on the power supply control mode, the self-use load characteristic, and a pre-determined power supply control constraint, and control power supply of the power generation station according to the self-use load power supply mode; The data receiving module, the electricity quantity determination module, the mode determination module, and the power supply control module are arranged in an edge computing unit.

7. An electronic device, the electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein, When the processor executes the program, it implements a power supply control method for a distributed power generation station based on edge computing according to any one of claims 1 to 4.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by a processor, it implements a power supply control method for a distributed power generation station based on edge computing according to any one of claims 1 to 4.

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