Micro-grid source grid load storage planning method and device, terminal equipment and storage medium

Abstract

The invention discloses a micro-grid source-grid load-storage planning method and device, terminal equipment and a storage medium. The method comprises the following steps: acquiring source load data of a micro-grid; calculating a typical daily source load output curve according to the source load data and the season types; according to the typical daily source load output curve, determining initial power supply capacity and initial energy storage additional distribution data; according to the source load data, correcting the initial power supply capacity and the initial energy storage additional distribution data according to a preset power grid interaction level, and obtaining the final power supply capacity and the final energy storage additional distribution data; and on the basis of the final power supply capacity and the final energy storage additional distribution data, performing source-grid-load-storage collaborative planning of the micro-grid, and determining an optimal construction scheme of the micro-grid. According to the method, the micro-grid is constructed and designed in consideration of four aspects of source, grid, load and storage, and the problem of unreasonable resource allocation of the micro-grid is solved.

Description

Technical Field

[0001] The present invention relates to the field of power system planning and optimization, and in particular to a microgrid source-grid-load-storage planning method, device, terminal equipment and storage medium. Background Art

[0002] With the rapid development of renewable energy, distributed power sources (such as photovoltaics, wind power, small hydropower, etc.) are increasingly used in microgrids. As an independent or grid-connected power system based on local distributed power sources, loads, and energy storage systems, microgrids can improve the reliability of regional power supply and energy utilization. However, the volatility and uncertainty of distributed power output make it difficult for microgrids to maintain a balance of power in off-grid or extreme scenarios. In addition, traditional microgrid planning methods usually only focus on the optimization of one aspect (such as power supply or energy storage), lack of coordinated consideration of source, network, load, and storage, resulting in unreasonable resource allocation and affecting the stability and economy of system operation.

[0003] Therefore, a microgrid source-grid-load-storage planning strategy is urgently needed to solve the problem of unreasonable microgrid resource allocation. Summary of the invention

[0004] The embodiments of the present invention provide a microgrid source-grid-load-storage planning method, device, terminal equipment and storage medium to solve the problem of unreasonable microgrid resource configuration.

[0005] In order to solve the above problems, an embodiment of the present invention provides a microgrid source-grid-load-storage planning method, including:

[0006] Obtain source and load data of the microgrid;

[0007] Calculate a typical daily source-load output curve according to the source-load data and season type;

[0008] According to the typical daily source-load output curve, the initial power supply capacity and the initial energy storage additional configuration data are determined; wherein the initial energy storage additional configuration data includes: the initial energy storage additional configuration capacity and the initial energy storage additional configuration power;

[0009] According to the source-load data and the preset power grid interaction level, the initial power supply capacity and the initial energy storage additional configuration data are corrected to obtain the final power supply capacity and the final energy storage additional configuration data; wherein the final energy storage additional configuration data includes: the final energy storage additional configuration capacity and the final energy storage additional configuration power;

[0010] Based on the final power supply capacity and the final energy storage addition data, a microgrid source-grid-load-storage collaborative planning is carried out to determine the optimal construction plan for the microgrid.

[0011] As an improvement of the above scheme, the source-load data includes: distributed power sources, daily average output curves corresponding to each distributed power source, load types and load-day output curves corresponding to each load type; the load types include: basic guarantee loads, residents' life loads and general loads; the typical daily source-load output curves include: typical daily source-load output curves in the spring non-heating season, typical daily source-load output curves in the summer peak electricity consumption, typical daily source-load output curves in the autumn non-heating season, typical daily source-load output curves in the winter peak electricity consumption, and typical daily source-load output curves in extreme weather scenarios;

[0012] The calculating of a typical daily source-load output curve according to the source-load data and the season type includes:

[0013] Determine the type of season;

[0014] If the season type is the spring non-heating season, the typical daily source-load output curve of the spring non-heating season is determined based on the maximum load daily output curves of the basic guarantee load, the residents' life load and the general load, and the daily average output curve corresponding to each distributed power source;

[0015] If the season type is the peak power consumption in summer, the typical daily source-load output curve for the peak power consumption in summer shall be determined based on 70% of the maximum load daily output curve of the basic guarantee load and the residents' life load, and the daily average output curve corresponding to each distributed power source;

[0016] If the season type is autumn non-heating season, the typical daily source-load output curve of autumn non-heating season is determined according to the maximum load daily output curve of basic guarantee load, residents' life load and general load, and the daily average output curve corresponding to each distributed power source;

[0017] If the season type is winter peak electricity consumption, the typical daily source-load output curve of winter peak electricity consumption is determined based on 70% of the maximum load daily output curve of the basic guarantee load and the residents' life load, and the daily average output curve corresponding to each distributed power source;

[0018] If the season type is an extreme weather scenario, the typical daily source-load output curve of the extreme weather scenario is determined based on 10% of the maximum load daily output curve of the basic guaranteed load and the minimum output curve corresponding to each distributed power source.

[0019] As an improvement of the above solution, the initial power supply capacity and initial energy storage additional configuration data are determined according to the typical daily source load output curve, including:

[0020] Based on the typical daily source load output curve in the spring non-heating season, the typical daily source load output curve in the summer peak electricity consumption season, the typical daily source load output curve in the autumn non-heating season, the typical daily source load output curve in the winter peak electricity consumption season, and the typical daily source load output curve in extreme weather scenarios, production simulation calculations are performed to obtain the initial power supply capacity;

[0021] After the initial power supply capacity is added, a production simulation calculation is performed based on the typical daily source load output curve of the spring non-heating season, the typical daily source load output curve of the summer power consumption peak, the typical daily source load output curve of the autumn non-heating season, the typical daily source load output curve of the winter power consumption peak, and the typical daily source load output curve of the extreme weather scenario to obtain the intermediate energy storage addition data; wherein the intermediate energy storage addition data includes: the intermediate energy storage addition capacity and the intermediate energy storage addition power;

[0022] After adding the initial power supply capacity and intermediate energy storage capacity data, we re-based the typical daily source load output curve in the spring non-heating season, the typical daily source load output curve in the summer peak electricity consumption, the typical daily source load output curve in the autumn non-heating season, the typical daily source load output curve in the winter peak electricity consumption, and the typical daily source load output curve in extreme weather scenarios, combined with the preset operating constraints, to perform production simulation calculations to obtain the initial energy storage capacity increase data.

[0023] As an improvement of the above scheme, the production simulation calculation is performed based on the typical daily source load output curve in the spring non-heating season, the typical daily source load output curve in the summer peak electricity consumption, the typical daily source load output curve in the autumn non-heating season, the typical daily source load output curve in the winter peak electricity consumption, and the typical daily source load output curve in extreme weather scenarios to obtain the initial power supply capacity, including:

[0024] According to the typical daily source-load output curve of the spring non-heating season, the typical daily source-load output curve of the summer power consumption peak, the typical daily source-load output curve of the autumn non-heating season, the typical daily source-load output curve of the winter power consumption peak, and the typical daily source-load output curve of the extreme weather scenario, production simulation is carried out to obtain the shortfall of the microgrid in the off-grid state on a typical day;

[0025] Selecting a maximum power shortage from the power shortages, and determining the power generation of the additional power source based on the maximum power shortage;

[0026] The initial power capacity of the microgrid is calculated based on the power generation of the additional power source and the annual utilization hours of the power source.

[0027] As an improvement to the above solution, after the initial power supply capacity is added, production simulation calculations are performed based on the typical daily source load output curve in the spring non-heating season, the typical daily source load output curve in the summer peak electricity consumption, the typical daily source load output curve in the autumn non-heating season, the typical daily source load output curve in the winter peak electricity consumption, and the typical daily source load output curve in extreme weather scenarios to obtain intermediate energy storage addition data, including:

[0028] After the initial power supply capacity is added, the production simulation is performed again based on the typical daily source load output curve of the spring non-heating season, the typical daily source load output curve of the summer power consumption peak, the typical daily source load output curve of the autumn non-heating season, the typical daily source load output curve of the winter power consumption peak, and the typical daily source load output curve of the extreme weather scenario to obtain the intermediate energy storage increase power and the maximum power shortage after the power supply is added to the microgrid;

[0029] Based on the maximum power shortage after the additional power supply, the additional capacity of the intermediate energy storage after the additional power supply of the microgrid is determined.

[0030] As an improvement of the above scheme, after adding the initial power supply capacity and the intermediate energy storage addition data, the production simulation calculation is performed again based on the typical daily source load output curve of the spring non-heating season, the typical daily source load output curve of the summer power consumption peak, the typical daily source load output curve of the autumn non-heating season, the typical daily source load output curve of the winter power consumption peak and the typical daily source load output curve of the extreme weather scenario, combined with the preset operation constraints, to obtain the initial energy storage addition data, including:

[0031] After adding the initial power supply capacity and the intermediate energy storage capacity, based on the preset operating constraints, re-run the production simulation according to the typical daily source-load output curve in the spring non-heating season, the typical daily source-load output curve in the summer peak electricity consumption, the typical daily source-load output curve in the autumn non-heating season, the typical daily source-load output curve in the winter peak electricity consumption, and the typical daily source-load output curve in extreme weather scenarios to obtain the maximum power shortage after adding power supply and energy storage;

[0032] The initial energy storage addition data is determined based on the power shortage in the off-grid state on a typical day, the maximum power shortage after additional power supply and energy storage.

[0033] As an improvement of the above scheme, the operating constraints include: charging power constraints of energy storage, upward and downward spare capacity constraints of energy storage, discharging power constraints of energy storage, charging and discharging power constraints of energy storage, power and capacity constraints of energy storage, and initial capacity constraints of energy storage.

[0034] Accordingly, an embodiment of the present invention further provides a microgrid source-grid-load-storage planning device, comprising: a data acquisition module, a data calculation module, an initial additional configuration module, a final additional configuration module, and a result generation module;

[0035] The data acquisition module is used to acquire the source and load data of the microgrid;

[0036] The data calculation module is used to calculate a typical day source-load output curve according to the source-load data and the season type;

[0037] The initial additional configuration module is used to determine the initial power supply capacity and the initial energy storage additional configuration data according to the typical daily source load output curve; wherein the initial energy storage additional configuration data includes: initial energy storage additional configuration capacity and initial energy storage additional configuration power;

[0038] The final additional configuration module is used to modify the initial power supply capacity and the initial energy storage additional configuration data according to the source-load data at a preset power grid interaction level to obtain the final power supply capacity and the final energy storage additional configuration data; wherein the final energy storage additional configuration data includes: the final energy storage additional configuration capacity and the final energy storage additional configuration power;

[0039] The result generation module is used to perform microgrid source-grid-load-storage collaborative planning based on the final power supply capacity and the final energy storage addition data, and determine the optimal construction plan for the microgrid.

[0040] As an improvement of the above scheme, the source-load data includes: distributed power sources, daily average output curves corresponding to each distributed power source, load types and load-day output curves corresponding to each load type; the load types include: basic guarantee loads, residents' life loads and general loads; the typical daily source-load output curves include: typical daily source-load output curves in the spring non-heating season, typical daily source-load output curves in the summer peak electricity consumption, typical daily source-load output curves in the autumn non-heating season, typical daily source-load output curves in the winter peak electricity consumption, and typical daily source-load output curves in extreme weather scenarios;

[0041] The calculating of a typical daily source-load output curve according to the source-load data and the season type includes:

[0042] Determine the type of season;

[0043] If the season type is the spring non-heating season, the typical daily source-load output curve of the spring non-heating season is determined based on the maximum load daily output curves of the basic guarantee load, the residents' life load and the general load, and the daily average output curve corresponding to each distributed power source;

[0044] If the season type is the peak power consumption in summer, the typical daily source-load output curve for the peak power consumption in summer shall be determined based on 70% of the maximum load daily output curve of the basic guarantee load and the residents' life load, and the daily average output curve corresponding to each distributed power source;

[0045] If the season type is autumn non-heating season, the typical daily source-load output curve of autumn non-heating season is determined according to the maximum load daily output curve of basic guarantee load, residents' life load and general load, and the daily average output curve corresponding to each distributed power source;

[0046] If the season type is winter peak electricity consumption, the typical daily source-load output curve of winter peak electricity consumption is determined based on 70% of the maximum load daily output curve of the basic guarantee load and the residents' life load, and the daily average output curve corresponding to each distributed power source;

[0047] If the season type is an extreme weather scenario, the typical daily source-load output curve of the extreme weather scenario is determined based on 10% of the maximum load daily output curve of the basic guaranteed load and the minimum output curve corresponding to each distributed power source.

[0048] As an improvement of the above solution, the initial power supply capacity and initial energy storage additional configuration data are determined according to the typical daily source load output curve, including:

[0049] Based on the typical daily source load output curve in the spring non-heating season, the typical daily source load output curve in the summer peak electricity consumption season, the typical daily source load output curve in the autumn non-heating season, the typical daily source load output curve in the winter peak electricity consumption season, and the typical daily source load output curve in extreme weather scenarios, production simulation calculations are performed to obtain the initial power supply capacity;

[0050] After the initial power supply capacity is added, a production simulation calculation is performed based on the typical daily source load output curve of the spring non-heating season, the typical daily source load output curve of the summer power consumption peak, the typical daily source load output curve of the autumn non-heating season, the typical daily source load output curve of the winter power consumption peak, and the typical daily source load output curve of the extreme weather scenario to obtain the intermediate energy storage addition data; wherein the intermediate energy storage addition data includes: the intermediate energy storage addition capacity and the intermediate energy storage addition power;

[0051] After adding the initial power supply capacity and intermediate energy storage capacity data, we re-based the typical daily source load output curve in the spring non-heating season, the typical daily source load output curve in the summer peak electricity consumption, the typical daily source load output curve in the autumn non-heating season, the typical daily source load output curve in the winter peak electricity consumption, and the typical daily source load output curve in extreme weather scenarios, combined with the preset operating constraints, to perform production simulation calculations to obtain the initial energy storage capacity increase data.

[0052] As an improvement of the above scheme, the production simulation calculation is performed based on the typical daily source load output curve in the spring non-heating season, the typical daily source load output curve in the summer peak electricity consumption, the typical daily source load output curve in the autumn non-heating season, the typical daily source load output curve in the winter peak electricity consumption, and the typical daily source load output curve in extreme weather scenarios to obtain the initial power supply capacity, including:

[0053] According to the typical daily source-load output curve of the spring non-heating season, the typical daily source-load output curve of the summer power consumption peak, the typical daily source-load output curve of the autumn non-heating season, the typical daily source-load output curve of the winter power consumption peak, and the typical daily source-load output curve of the extreme weather scenario, production simulation is carried out to obtain the shortfall of the microgrid in the off-grid state on a typical day;

[0054] Selecting a maximum power shortage from the power shortages, and determining the power generation of the additional power source based on the maximum power shortage;

[0055] The initial power capacity of the microgrid is calculated based on the power generation of the additional power source and the annual utilization hours of the power source.

[0056] As an improvement to the above solution, after the initial power supply capacity is added, production simulation calculations are performed based on the typical daily source load output curve in the spring non-heating season, the typical daily source load output curve in the summer peak electricity consumption, the typical daily source load output curve in the autumn non-heating season, the typical daily source load output curve in the winter peak electricity consumption, and the typical daily source load output curve in extreme weather scenarios to obtain intermediate energy storage addition data, including:

[0057] After the initial power supply capacity is added, the production simulation is performed again based on the typical daily source load output curve of the spring non-heating season, the typical daily source load output curve of the summer power consumption peak, the typical daily source load output curve of the autumn non-heating season, the typical daily source load output curve of the winter power consumption peak, and the typical daily source load output curve of the extreme weather scenario to obtain the intermediate energy storage increase power and the maximum power shortage after the power supply is added to the microgrid;

[0058] Based on the maximum power shortage after the additional power supply, the additional capacity of the intermediate energy storage after the additional power supply of the microgrid is determined.

[0059] As an improvement of the above scheme, after adding the initial power supply capacity and the intermediate energy storage addition data, the production simulation calculation is performed again based on the typical daily source load output curve of the spring non-heating season, the typical daily source load output curve of the summer power consumption peak, the typical daily source load output curve of the autumn non-heating season, the typical daily source load output curve of the winter power consumption peak and the typical daily source load output curve of the extreme weather scenario, combined with the preset operation constraints, to obtain the initial energy storage addition data, including:

[0060] After adding the initial power supply capacity and the intermediate energy storage capacity, based on the preset operating constraints, re-run the production simulation according to the typical daily source-load output curve in the spring non-heating season, the typical daily source-load output curve in the summer peak electricity consumption, the typical daily source-load output curve in the autumn non-heating season, the typical daily source-load output curve in the winter peak electricity consumption, and the typical daily source-load output curve in extreme weather scenarios to obtain the maximum power shortage after adding power supply and energy storage;

[0061] The initial energy storage addition data is determined based on the power shortage in the off-grid state on a typical day, the maximum power shortage after additional power supply and energy storage.

[0062] As an improvement of the above scheme, the operating constraints include: charging power constraints of energy storage, upward and downward spare capacity constraints of energy storage, discharging power constraints of energy storage, charging and discharging power constraints of energy storage, power and capacity constraints of energy storage, and initial capacity constraints of energy storage.

[0063] Correspondingly, an embodiment of the present invention further provides a computer terminal device, comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, a microgrid source-grid-load-storage planning method as described in the present invention is implemented.

[0064] Correspondingly, an embodiment of the present invention further provides a computer-readable storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute a microgrid source-grid-load-storage planning method as described in the present invention.

[0065] As can be seen from the above, the present invention has the following beneficial effects:

[0066] The present invention provides a method for planning source, grid, load and storage of a microgrid, which obtains source and load data of a microgrid; calculates a typical day source and load output curve according to the source and load data and the type of season; determines the initial power supply capacity and initial energy storage increase data according to the typical day source and load output curve; wherein the initial energy storage increase data includes: initial energy storage increase capacity and initial energy storage increase power; according to the source and load data, the initial power supply capacity and initial energy storage increase data are corrected with a preset power grid interaction level to obtain the final power supply capacity and final energy storage increase data; wherein the final energy storage increase data includes: final energy storage increase capacity and final energy storage increase power; based on the final power supply capacity and the final energy storage increase data, the source, grid, load and storage collaborative planning of the microgrid is performed to determine the optimal construction plan of the microgrid. The present invention calculates the initial power supply capacity and the initial energy storage increase capacity by considering the typical day source and load curve affected by season, and corrects the data based on the source and load data and the power grid interaction level, and finally determines the final power supply capacity and the final energy storage increase data, thereby being able to determine the optimal construction plan of the microgrid. The present invention simultaneously considers the source, network, load and storage aspects to design and construct a microgrid, thus solving the problem of unreasonable resource allocation in the microgrid. BRIEF DESCRIPTION OF THE DRAWINGS

[0067] Figure 1 It is a flow chart of a microgrid source-grid-load-storage planning method provided by an embodiment of the present invention;

[0068] Figure 2 It is a structural schematic diagram of a microgrid source-grid-load-storage planning device provided by an embodiment of the present invention;

[0069] Figure 3 It is a schematic diagram of the structure of a terminal device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0070] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0071] Embodiment 1

[0072] See also Figure 1 , Figure 1 FIG. 1 is a flow chart of a method for planning a source, network, load and storage of a microgrid provided by an embodiment of the present invention. Figure 1 As shown, this embodiment includes steps 101 to 105, and each step is specifically as follows:

[0073] Step 101: Obtain source and load data of the microgrid.

[0074] In this embodiment, based on the historical measurement data of source and load for 8760 hours throughout the year, the output and load characteristics of distributed power sources such as photovoltaic, wind turbine, and hydropower in the microgrid are analyzed to obtain the daily average output curve corresponding to each distributed power source. Among them, the characteristic analysis should be carried out according to different time scales, including annual characteristics, seasonal characteristics, and daily characteristics. In the load characteristic analysis, the basic guarantee load, residential life load, and general load in the microgrid should be divided, and the load daily output curves of different load types should be determined to provide data support for the microgrid production simulation calculation.

[0075] Step 102: Calculate a typical daily source-load output curve according to the source-load data and season type.

[0076] In this embodiment, the source-load data includes: distributed power sources, daily average output curves corresponding to each distributed power source, load types and load-day output curves corresponding to each load type; the load types include: basic guarantee loads, residents' life loads and general loads; the typical daily source-load output curves include: typical daily source-load output curves in the spring non-heating season, typical daily source-load output curves in the summer peak electricity consumption, typical daily source-load output curves in the autumn non-heating season, typical daily source-load output curves in the winter peak electricity consumption, and typical daily source-load output curves in extreme weather scenarios;

[0077] The calculating of a typical daily source-load output curve according to the source-load data and the season type includes:

[0078] Determine the type of season;

[0079] If the season type is the spring non-heating season, the typical daily source-load output curve of the spring non-heating season is determined based on the maximum load daily output curves of the basic guarantee load, the residents' life load and the general load, and the daily average output curve corresponding to each distributed power source;

[0080] If the season type is the peak power consumption in summer, the typical daily source-load output curve for the peak power consumption in summer shall be determined based on 70% of the maximum load daily output curve of the basic guarantee load and the residents' life load, and the daily average output curve corresponding to each distributed power source;

[0081] If the season type is autumn non-heating season, the typical daily source-load output curve of autumn non-heating season is determined according to the maximum load daily output curve of basic guarantee load, residents' life load and general load, and the daily average output curve corresponding to each distributed power source;

[0082] If the season type is winter peak electricity consumption, the typical daily source-load output curve of winter peak electricity consumption is determined based on 70% of the maximum load daily output curve of the basic guarantee load and the residents' life load, and the daily average output curve corresponding to each distributed power source;

[0083] If the season type is an extreme weather scenario, the typical daily source-load output curve of the extreme weather scenario is determined based on 10% of the maximum load daily output curve of the basic guaranteed load and the minimum output curve corresponding to each distributed power source.

[0084] In a specific embodiment, when calculating the typical day source-load output curve, the annual utilization hours of the distributed power source should be considered, and the actual output curve of the typical day should be converted to ensure that the annual utilization hours of the power source calculated based on the typical day output curve is within the actual range, with reference to the annual utilization hours of photovoltaic power being 1000 to 1200 hours and the annual utilization hours of wind turbines being approximately 1800 hours.

[0085] It should be noted that in the spring non-heating season (April-June): the typical daily output of distributed power sources such as electricity, photovoltaics, and wind turbines can be selected from the average output curve of each day of the month. The load level in the spring non-heating season is relatively low, and the off-grid production simulation calculation can consider the basic guarantee load (hospitals, schools, governments, village committees, communication companies, communication base stations, important industrial users), residents' life load, and general load (agriculture, commerce, and general industrial users). Therefore, the typical daily load can be selected according to 100% of the daily output curve of the maximum load in spring;

[0086] It should be noted that during the peak of electricity consumption in summer (July-August), the typical daily output of distributed power sources such as hydropower, photovoltaics, and wind turbines can be selected from the average output curve of each day of the month. The load level in summer is relatively high, and the off-grid production simulation calculation only considers the basic guarantee load and the residents' living load. The typical daily load can be selected according to 70% of the daily output curve of the maximum load in summer.

[0087] It should be noted that in the autumn non-heating season (September-November): the typical daily output of distributed power sources such as hydropower, photovoltaics, and wind turbines can be selected from the average output curve of each day of the month. The load level in the autumn non-heating season is relatively low, and the off-grid production simulation calculation can consider the basic guarantee load, residents' living load, and general load. The typical daily load can be selected according to 100% of the output curve of the maximum load day in autumn.

[0088] It should be noted that during the peak of winter electricity consumption (December-February), the typical daily output of distributed power sources such as hydropower, photovoltaics, and wind turbines can be selected from the average output curve of each day of the month. The load level in winter is relatively high, and the off-grid production simulation calculation only considers the basic guarantee load and the residents' living load. The typical daily load can be selected according to 70% of the maximum load daily output curve in winter.

[0089] It should be noted that in extreme weather scenarios, such as the frequent ice disaster period (December-February): the typical daily output of distributed power sources such as hydropower, photovoltaics, and wind turbines can be selected based on the minimum output of the month. The off-grid production simulation calculation in extreme scenarios only considers the basic guarantee load. The typical daily load can be selected based on 10% of the maximum load daily output curve in winter.

[0090] It is understandable that through the precise selection of typical days and typical scenarios, over-allocation and waste of resources are avoided. The configuration of the energy storage system is dynamically adjusted according to the demand gap, which not only meets the system's backup needs, but also reasonably controls costs and achieves efficient use of resources.

[0091] Step 103: Determine the initial power supply capacity and initial energy storage increase data according to the typical daily source-load output curve; wherein the initial energy storage increase data includes: initial energy storage increase capacity and initial energy storage increase power.

[0092] In this embodiment, determining the initial power capacity and initial energy storage additional configuration data according to the typical daily source load output curve includes:

[0093] Based on the typical daily source load output curve in the spring non-heating season, the typical daily source load output curve in the summer peak electricity consumption season, the typical daily source load output curve in the autumn non-heating season, the typical daily source load output curve in the winter peak electricity consumption season, and the typical daily source load output curve in extreme weather scenarios, production simulation calculations are performed to obtain the initial power supply capacity;

[0094] After the initial power supply capacity is added, a production simulation calculation is performed based on the typical daily source load output curve of the spring non-heating season, the typical daily source load output curve of the summer power consumption peak, the typical daily source load output curve of the autumn non-heating season, the typical daily source load output curve of the winter power consumption peak, and the typical daily source load output curve of the extreme weather scenario to obtain the intermediate energy storage addition data; wherein the intermediate energy storage addition data includes: the intermediate energy storage addition capacity and the intermediate energy storage addition power;

[0095] After adding the initial power supply capacity and intermediate energy storage capacity data, we re-based the typical daily source load output curve in the spring non-heating season, the typical daily source load output curve in the summer peak electricity consumption, the typical daily source load output curve in the autumn non-heating season, the typical daily source load output curve in the winter peak electricity consumption, and the typical daily source load output curve in extreme weather scenarios, combined with the preset operating constraints, to perform production simulation calculations to obtain the initial energy storage capacity increase data.

[0096] In this embodiment, the production simulation calculation is performed based on the typical daily source load output curve in the spring non-heating season, the typical daily source load output curve in the summer peak electricity consumption, the typical daily source load output curve in the autumn non-heating season, the typical daily source load output curve in the winter peak electricity consumption, and the typical daily source load output curve in extreme weather scenarios to obtain the initial power supply capacity, including:

[0097] According to the typical daily source-load output curve of the spring non-heating season, the typical daily source-load output curve of the summer power consumption peak, the typical daily source-load output curve of the autumn non-heating season, the typical daily source-load output curve of the winter power consumption peak, and the typical daily source-load output curve of the extreme weather scenario, production simulation is carried out to obtain the shortfall of the microgrid in the off-grid state on a typical day;

[0098] Selecting a maximum power shortage from the power shortages, and determining the power generation of the additional power source based on the maximum power shortage;

[0099] The initial power capacity of the microgrid is calculated based on the power generation of the additional power source and the annual utilization hours of the power source.

[0100] In a specific embodiment, first, the typical daily production simulation corresponding to the source-load output curve of a typical day in the spring non-heating season, the source-load output curve of a typical day in the summer peak electricity consumption, the source-load output curve of a typical day in the autumn non-heating season, the source-load output curve of a typical day in the winter peak electricity consumption, and the source-load output curve of a typical day in extreme weather scenarios is calculated to obtain the power gap of the microgrid in the off-grid state on a typical day.

[0101] According to the calculation results of the power shortage, the largest power shortage calculation result in the typical daily production simulation calculation is selected, and the power generation required to be added is calculated according to 1.1 to 1.2 times the power shortage. Then, based on the power generation and the annual utilization hours of the power supply, the average power output, that is, the installed capacity of the power supply, is calculated.

[0102] The type and capacity of additional power sources need to be determined based on the actual construction needs and conditions of the microgrid. Distributed power sources are usually chosen to fill this power gap. Single or multiple types of distributed power sources can be added. When adding wind turbines and photovoltaics at the same time, the economic ratio of wind and solar power is considered, and the additional wind turbine and photovoltaic capacity is generally 1:2.

[0103] In this embodiment, after the initial power supply capacity is added, a production simulation calculation is performed based on the typical daily source load output curve in the spring non-heating season, the typical daily source load output curve in the summer power consumption peak, the typical daily source load output curve in the autumn non-heating season, the typical daily source load output curve in the winter power consumption peak, and the typical daily source load output curve in extreme weather scenarios to obtain intermediate energy storage addition data; wherein, the intermediate energy storage addition data includes: intermediate energy storage addition capacity and intermediate energy storage addition power, including:

[0104] After the initial power supply capacity is added, the production simulation is performed again based on the typical daily source load output curve of the spring non-heating season, the typical daily source load output curve of the summer power consumption peak, the typical daily source load output curve of the autumn non-heating season, the typical daily source load output curve of the winter power consumption peak, and the typical daily source load output curve of the extreme weather scenario to obtain the intermediate energy storage increase power and the maximum power shortage after the power supply is added to the microgrid;

[0105] Based on the maximum power shortage after the additional power supply, the additional capacity of the intermediate energy storage after the additional power supply of the microgrid is determined.

[0106] In a specific embodiment, in the initial microgrid system, after the initial power supply capacity is determined, a second production simulation calculation is performed. Based on the results of this production simulation calculation, the power and capacity of the energy storage that needs to be added in the microgrid are calculated.

[0107] First, determine the energy storage configuration power. The total discharge power of the energy storage should be greater than the maximum power gap calculated by the spring, summer, autumn and winter production simulation after the addition of power sources, and the peak value of the basic guarantee load in extreme scenarios.

[0108] Then, determine the energy storage configuration capacity. The energy storage capacity should be greater than the maximum power shortage in spring, summer, autumn and winter after the addition of power sources, usually 1.1 to 1.2 times the maximum power shortage. At the same time, the total capacity of the energy storage configuration should ensure that in extreme scenarios, the microgrid infrastructure guarantees continuous power supply to the load for 3 days. The power consumption in extreme scenarios is a key factor in determining the energy storage configuration capacity.

[0109] In this embodiment, after the initial power supply capacity and the intermediate energy storage capacity are added, the production simulation calculation is performed based on the typical daily source load output curve of the spring non-heating season, the typical daily source load output curve of the summer power consumption peak, the typical daily source load output curve of the autumn non-heating season, the typical daily source load output curve of the winter power consumption peak, and the typical daily source load output curve of the extreme weather scenario, combined with the preset operation constraints, to obtain the initial energy storage capacity addition data, including:

[0110] After adding the initial power supply capacity and the intermediate energy storage capacity, based on the preset operating constraints, re-run the production simulation according to the typical daily source-load output curve in the spring non-heating season, the typical daily source-load output curve in the summer peak electricity consumption, the typical daily source-load output curve in the autumn non-heating season, the typical daily source-load output curve in the winter peak electricity consumption, and the typical daily source-load output curve in extreme weather scenarios to obtain the maximum power shortage after adding power supply and energy storage;

[0111] The initial energy storage addition data is determined based on the power shortage in the off-grid state on a typical day, the maximum power shortage after additional power supply and energy storage.

[0112] In this embodiment, after the initial power supply capacity and the intermediate energy storage capacity are added, the production simulation calculation is performed based on the typical daily source load output curve of the spring non-heating season, the typical daily source load output curve of the summer power consumption peak, the typical daily source load output curve of the autumn non-heating season, the typical daily source load output curve of the winter power consumption peak, and the typical daily source load output curve of the extreme weather scenario, combined with the preset operation constraints, to obtain the initial energy storage capacity addition data, including:

[0113] After adding the initial power supply capacity and the intermediate energy storage capacity, based on the preset operating constraints, re-run the production simulation according to the typical daily source-load output curve in the spring non-heating season, the typical daily source-load output curve in the summer peak electricity consumption, the typical daily source-load output curve in the autumn non-heating season, the typical daily source-load output curve in the winter peak electricity consumption, and the typical daily source-load output curve in extreme weather scenarios to obtain the maximum power shortage after adding power supply and energy storage;

[0114] The initial energy storage addition data is determined based on the power shortage in the off-grid state on a typical day, the maximum power shortage after additional power supply and energy storage.

[0115] In a specific embodiment, after adding power supply and energy storage, the third production simulation calculation is performed. The power balance calculation results, new energy utilization rate, and energy storage charging and discharging conditions are calculated for five scenarios of off-grid for three days. The following energy storage operation constraints need to be constructed in the production simulation calculation:

[0116] In order to avoid load loss in scenarios such as sudden load increase or new energy output lower than expected, the generator needs to increase output or discharge energy storage to reserve upward reserve; at the same time, to avoid wind / solar abandonment in scenarios such as sudden load drop or new energy output exceeding expectations, the unit needs to reduce output or charge energy storage to reserve downward reserve. In order to ensure the unplanned off-grid operation of the microgrid, 10% of the upward and downward reserve capacity of energy storage is usually reserved.

[0117] Taking into account the upward and downward reserve requirements and the upper and lower bounds of the rated charging power of the energy storage, the charging power constraint of the energy storage can be expressed as:

[0118]

[0119] In the formula, Indicates the charging power of the energy storage; Upward and downward reserve of energy storage; Respectively represent the minimum and maximum charging power setting values ​​of energy storage.

[0120] In addition, a certain proportional relationship can be set for the upward and downward reserve capacity of energy storage:

[0121]

[0122] Among them, DtUR, Respectively represent the minimum and maximum setting values ​​of the ratio of downward to upward operating reserve.

[0123] In order to extend the life cycle of energy storage and ensure the power supply time of energy storage, the discharge power of energy storage should be less than 0.5C (1C means charging and discharging with the same current as the rated capacity of the battery. A 1Ah battery takes 1 hour to discharge at 1C; 0.5C means using a current of 0.5 times the rated capacity and a discharge time of 2 hours.):

[0124] If the energy storage is connected to an electrical device that relies on the energy storage for power supply, the discharge power of the energy storage must meet the planned power demand of the device:

[0125]

[0126] in Indicates the discharge power of the energy storage system; It refers to the power required to power equipment using the energy storage system, such as water electrolysis hydrogen production equipment, electric vehicle charging equipment, etc.

[0127] At the same time, it is necessary to consider the charging and discharging logic of energy storage, limit the charging and discharging power of energy storage within the upper and lower limits of the rated power, and ensure that the charging and discharging power are not too large at the same time.

[0128]

[0129] In each energy storage charge and discharge cycle τ, the power and capacity of the energy storage should satisfy the following relationship:

[0130]

[0131] Wherein, the charge and discharge cycle period τ = 24; n is the time node, where n is a multiple of τ; is the time step; and They represent the capacity of the energy storage at the beginning and end of a charging and discharging cycle in the planning period p, respectively, and should be greater than 0 and meet the upper limit of the maximum capacity; It is the planned flow of energy into storage, such as hydropower; It is the energy flowing out of the stored energy; and Respectively represent the charging and discharging power of energy storage; EF e It is the comprehensive efficiency of energy storage charging.

[0132] Considering the economic efficiency of energy storage operation, the energy stored in n=0 and n=N at the beginning and end of the planning period should be equal.

[0133] To ensure unplanned off-grid operation, the initial capacity of energy storage is usually set to 10% of the surplus capacity.

[0134]

[0135] Considering the above energy storage operation constraints, production simulation calculations are performed to obtain energy storage charging and discharging strategies. The effectiveness of energy storage configuration is verified by comparing the power gap before and after energy storage configuration. If the power gap does not decrease significantly after adding energy storage, the power and capacity of energy storage should be adjusted.

[0136] Step 104: According to the source-load data and the preset power grid interaction level, the initial power supply capacity and the initial energy storage increase data are corrected to obtain the final power supply capacity and the final energy storage increase data; wherein the final energy storage increase data includes: the final energy storage increase capacity and the final energy storage increase power.

[0137] In this embodiment, based on the historical measurement data of source and load for 8760 hours throughout the year, the grid-connected production simulation of the microgrid throughout the year is calculated, and the power interaction level of the microgrid is calculated, including the maximum reverse power, the maximum grid-connected power, the peak-to-valley difference rate of the exchange power, the power self-use rate, the self-balancing capability and other indicators, and the power supply and energy storage capacity are finally verified and corrected according to the above indicators.

[0138] It is understandable that by rationally allocating and dispatching distributed power sources such as photovoltaic and wind power, efficient use of renewable energy can be achieved and the phenomenon of wind and solar power abandonment can be reduced. By adjusting the coordinated operation of new energy and energy storage, the utilization rate of new energy in microgrids has been significantly improved, promoting the effective integration of clean energy in regional power systems, which is in line with the concept of green development.

[0139] Step 105: Based on the final power supply capacity and the final energy storage additional configuration data, a microgrid source-grid-load-storage collaborative planning is performed to determine the optimal construction plan for the microgrid.

[0140] In this embodiment, the final power supply capacity and the final energy storage additional configuration data are determined and verified, and further, through the coordinated planning of the source, grid, load and storage of the microgrid, the optimal construction plan of the microgrid is calculated taking into account both safety and economy.

[0141] In a specific implementation, the optimal construction solution includes:

[0142] (1) Construct the optimization objectives of microgrid planning: 1) investment and decommissioning costs, 2) generator operation costs, 3) generator carbon emission costs, 4) reliability costs, and 5) user demand response benefits;

[0143] (2) Establish constraints for microgrid planning:

[0144] 1) Power generation project constraints: ① power balance constraints, ② unit combination logic constraints, ③ spare capacity constraints, ④ system inertia constraints, ⑤ small hydropower operation constraints, ⑥ energy storage operation constraints, ⑦ reactive equipment operation constraints, ⑧ uncertainty of new energy, ⑨ other operation constraints, including power generation project control strategies;

[0145] 2) Network constraints: ① Line construction and operation logic constraints, ② Linearization power flow constraints, ③ System exchange power constraints;

[0146] (3) Other constraints: ① reliability constraint, ② voltage quality constraint, ③ electricity price participation in demand response;

[0147] (4) Evaluation of microgrid planning schemes: 1) Calculate the reliability of the planning scheme: indicators such as the lack of supply load and the lack of power supply; 2) Calculate the economic feasibility of the planning scheme: ① present value, future value, and equal annual value; ② payback period: static payback period = total investment of the technical scheme / annual net income of the technical scheme; ③ net present value and net present value rate; ④ internal rate of return: the discount rate that makes the cumulative economic or financial net present value equal to zero during the project calculation period.

[0148] It is understandable that the present invention optimizes the power supply and energy storage configuration through comprehensive analysis of distributed power supply and load characteristics, as well as multiple production simulations in off-grid and on-grid states, and ensures the stable power supply capability of the microgrid in various operating scenarios. Even in extreme weather or off-grid states, the system can effectively maintain the balance of power and electricity, greatly improving the reliability and safety of power supply.

[0149] It is understandable that, through reasonable charging and discharging strategies and spare capacity reservation design, the present invention effectively controls the charging and discharging frequency of the energy storage system, avoids excessive use of energy storage equipment, and prolongs the life of the energy storage system. At the same time, the operation constraints of energy storage ensure timely response when the load suddenly increases or the output of new energy is insufficient, further enhancing the sustainable operation capability of the energy storage system.

[0150] It can be understood that on the basis of ensuring the reliable operation of the system, the configuration of energy storage and power supply is optimized, the long-term operating cost is reduced, and the return on investment is improved. By systematically controlling the power shortage and balancing the operating costs of power generation and energy storage, the present invention achieves the optimization of the economic benefits of the microgrid while meeting the needs of users.

[0151] See also Figure 2 , Figure 2 It is a structural diagram of a microgrid source-grid-load-storage planning device provided by an embodiment of the present invention, comprising: a data acquisition module 201, a data calculation module 202, an initial allocation module 203, a final allocation module 204 and a result generation module 205;

[0152] The data acquisition module is used to acquire the source and load data of the microgrid;

[0153] The data calculation module is used to calculate a typical day source-load output curve according to the source-load data and the season type;

[0154] The initial additional configuration module is used to determine the initial power supply capacity and the initial energy storage additional configuration data according to the typical daily source load output curve; wherein the initial energy storage additional configuration data includes: initial energy storage additional configuration capacity and initial energy storage additional configuration power;

[0155] The final additional configuration module is used to modify the initial power supply capacity and the initial energy storage additional configuration data according to the source-load data at a preset power grid interaction level to obtain the final power supply capacity and the final energy storage additional configuration data; wherein the final energy storage additional configuration data includes: the final energy storage additional configuration capacity and the final energy storage additional configuration power;

[0156] The result generation module is used to perform microgrid source-grid-load-storage collaborative planning based on the final power supply capacity and the final energy storage addition data, and determine the optimal construction plan for the microgrid.

[0157] It can be understood that the above-mentioned system item embodiments correspond to the method item embodiments of the present invention, which can implement the microgrid source-grid-load-storage planning method provided by any of the above-mentioned method item embodiments of the present invention.

[0158] This embodiment obtains the source-load data of the microgrid; calculates the typical day source-load output curve according to the source-load data and the season type; determines the initial power capacity and the initial energy storage increase data according to the typical day source-load output curve; wherein the initial energy storage increase data includes: the initial energy storage increase capacity and the initial energy storage increase power; according to the source-load data and the preset power grid interaction level, the initial power capacity and the initial energy storage increase data are corrected to obtain the final power capacity and the final energy storage increase data; wherein the final energy storage increase data includes: the final energy storage increase capacity and the final energy storage increase power; based on the final power capacity and the final energy storage increase data, the source-grid-load-storage collaborative planning of the microgrid is carried out to determine the optimal construction plan of the microgrid. The present invention calculates the initial power capacity and the initial energy storage increase capacity by considering the typical day source-load curve affected by season, and corrects the data based on the source-load data and the power grid interaction level, and finally determines the final power capacity and the final energy storage increase data, thereby being able to determine the optimal construction plan of the microgrid. The present invention simultaneously considers the source, network, load and storage aspects to design and construct a microgrid, thus solving the problem of unreasonable resource allocation in the microgrid.

[0159] Embodiment 2

[0160] See also Figure 3 , Figure 3 It is a schematic diagram of the structure of a terminal device provided in one embodiment of the present invention.

[0161] A terminal device of this embodiment includes: a processor 301, a memory 302, and a computer program stored in the memory 302 and executable on the processor 301. When the processor 301 executes the computer program, the steps of the above-mentioned microgrid source-grid-load-storage planning method in the embodiment are implemented, for example: Figure 1 Alternatively, when the processor executes the computer program, the functions of each module in the above-mentioned device embodiments are realized, for example: Figure 2 All modules of the microgrid source-grid-load-storage planning device shown.

[0162] In addition, an embodiment of the present invention also provides a computer-readable storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute the microgrid source-grid-load-storage planning method as described in any of the above embodiments.

[0163] Those skilled in the art will understand that the schematic diagram is merely an example of a terminal device and does not constitute a limitation on the terminal device. The terminal device may include more or fewer components than shown in the diagram, or a combination of certain components, or different components. For example, the terminal device may also include input and output devices, network access devices, buses, etc.

[0164] The processor 301 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc. The processor 301 is the control center of the terminal device, and uses various interfaces and lines to connect various parts of the entire terminal device.

[0165] The memory 302 can be used to store the computer program and / or module. The processor 301 implements various functions of the terminal device by running or executing the computer program and / or module stored in the memory and calling the data stored in the memory 302. The memory 302 can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area can store data created according to the use of the mobile phone (such as audio data, a phone book, etc.), etc. In addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0166] Wherein, if the module / unit integrated in the terminal device is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Wherein, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium, etc.

[0167] It should be noted that the device embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. In addition, in the accompanying drawings of the device embodiments provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, which may be specifically implemented as one or more communication buses or signal lines. A person of ordinary skill in the art may understand and implement it without paying any creative effort.

[0168] The above is a preferred embodiment of the present invention. It should be pointed out that a person skilled in the art can make several improvements and modifications without departing from the principle of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A microgrid source-grid-load-storage planning method, characterized in that: include: Obtain source and load data of microgrid; Calculate a typical daily source-load output curve according to the source-load data and season type; According to the typical daily source-load output curve, the initial power supply capacity and the initial energy storage additional configuration data are determined; wherein the initial energy storage additional configuration data includes: the initial energy storage additional configuration capacity and the initial energy storage additional configuration power; According to the source-load data and the preset power grid interaction level, the initial power supply capacity and the initial energy storage additional configuration data are corrected to obtain the final power supply capacity and the final energy storage additional configuration data; wherein the final energy storage additional configuration data includes: the final energy storage additional configuration capacity and the final energy storage additional configuration power; Based on the final power supply capacity and the final energy storage addition data, a microgrid source-grid-load-storage collaborative planning is carried out to determine the optimal construction plan for the microgrid.

2. The microgrid source-grid-load-storage planning method according to claim 1, characterized in that: The source-load data include: distributed power sources, daily average output curves corresponding to each distributed power source, load types and load-day output curves corresponding to each load type; the load types include: basic support loads, residents' life loads and general loads; the typical daily source-load output curves include: typical daily source-load output curves in the spring non-heating season, typical daily source-load output curves in the summer peak electricity consumption season, typical daily source-load output curves in the autumn non-heating season, typical daily source-load output curves in the winter peak electricity consumption season and typical daily source-load output curves in extreme weather scenarios; The calculating of a typical daily source-load output curve according to the source-load data and the season type includes: Determine the type of season; If the season type is the spring non-heating season, the typical daily source-load output curve of the spring non-heating season is determined based on the maximum load daily output curves of the basic guarantee load, the residents' life load and the general load, and the daily average output curve corresponding to each distributed power source; If the season type is the peak power consumption in summer, the typical daily source-load output curve for the peak power consumption in summer shall be determined based on 70% of the maximum load daily output curve of the basic guarantee load and the residents' life load, and the daily average output curve corresponding to each distributed power source; If the season type is autumn non-heating season, the typical daily source-load output curve of autumn non-heating season is determined according to the maximum load daily output curve of basic guarantee load, residents' life load and general load, and the daily average output curve corresponding to each distributed power source; If the season type is winter peak electricity consumption, the typical daily source-load output curve of winter peak electricity consumption is determined based on 70% of the maximum load daily output curve of the basic guarantee load and the residents' life load, and the daily average output curve corresponding to each distributed power source; If the season type is an extreme weather scenario, the typical daily source-load output curve of the extreme weather scenario is determined based on 10% of the maximum load daily output curve of the basic guaranteed load and the minimum output curve corresponding to each distributed power source.

3. The microgrid source-grid-load-storage planning method according to claim 2 is characterized in that: Determining the initial power supply capacity and initial energy storage additional configuration data according to the typical daily source load output curve includes: Based on the typical daily source load output curve in the spring non-heating season, the typical daily source load output curve in the summer peak electricity consumption season, the typical daily source load output curve in the autumn non-heating season, the typical daily source load output curve in the winter peak electricity consumption season, and the typical daily source load output curve in extreme weather scenarios, production simulation calculations are performed to obtain the initial power supply capacity; After the initial power supply capacity is added, a production simulation calculation is performed based on the typical daily source load output curve of the spring non-heating season, the typical daily source load output curve of the summer power consumption peak, the typical daily source load output curve of the autumn non-heating season, the typical daily source load output curve of the winter power consumption peak, and the typical daily source load output curve of the extreme weather scenario to obtain the intermediate energy storage addition data; wherein the intermediate energy storage addition data includes: the intermediate energy storage addition capacity and the intermediate energy storage addition power; After adding the initial power supply capacity and intermediate energy storage capacity data, we re-based the typical daily source load output curve in the spring non-heating season, the typical daily source load output curve in the summer peak electricity consumption, the typical daily source load output curve in the autumn non-heating season, the typical daily source load output curve in the winter peak electricity consumption, and the typical daily source load output curve in extreme weather scenarios, combined with the preset operating constraints, to perform production simulation calculations to obtain the initial energy storage capacity increase data.

4. The microgrid source-grid-load-storage planning method according to claim 3 is characterized in that: The production simulation calculation is performed based on the typical daily source load output curve of the spring non-heating season, the typical daily source load output curve of the summer power consumption peak, the typical daily source load output curve of the autumn non-heating season, the typical daily source load output curve of the winter power consumption peak and the typical daily source load output curve of the extreme weather scenario to obtain the initial power supply capacity, including: According to the typical daily source-load output curve of the spring non-heating season, the typical daily source-load output curve of the summer power consumption peak, the typical daily source-load output curve of the autumn non-heating season, the typical daily source-load output curve of the winter power consumption peak, and the typical daily source-load output curve of the extreme weather scenario, production simulation is carried out to obtain the shortfall of the microgrid in the off-grid state on a typical day; Selecting a maximum power shortage from the power shortages, and determining the power generation of the additional power source based on the maximum power shortage; The initial power capacity of the microgrid is calculated based on the power generation of the additional power source and the annual utilization hours of the power source.

5. The microgrid source-grid-load-storage planning method according to claim 4, characterized in that: After the initial power supply capacity is added, production simulation calculations are performed based on the typical daily source load output curve of the spring non-heating season, the typical daily source load output curve of the summer power consumption peak, the typical daily source load output curve of the autumn non-heating season, the typical daily source load output curve of the winter power consumption peak, and the typical daily source load output curve of the extreme weather scenario to obtain intermediate energy storage addition data, including: After the initial power supply capacity is added, the production simulation is performed again based on the typical daily source load output curve of the spring non-heating season, the typical daily source load output curve of the summer power consumption peak, the typical daily source load output curve of the autumn non-heating season, the typical daily source load output curve of the winter power consumption peak, and the typical daily source load output curve of the extreme weather scenario to obtain the intermediate energy storage increase power and the maximum power shortage after the power supply is added to the microgrid; Based on the maximum power shortage after the additional power supply, the additional capacity of the intermediate energy storage after the additional power supply of the microgrid is determined.

6. The microgrid source-grid-load-storage planning method according to claim 5, characterized in that: After the initial power supply capacity and the intermediate energy storage capacity are added, the production simulation calculation is performed based on the typical daily source load output curve of the spring non-heating season, the typical daily source load output curve of the summer power consumption peak, the typical daily source load output curve of the autumn non-heating season, the typical daily source load output curve of the winter power consumption peak, and the typical daily source load output curve of the extreme weather scenario, combined with the preset operation constraints, to obtain the initial energy storage capacity addition data, including: After adding the initial power supply capacity and the intermediate energy storage capacity, based on the preset operating constraints, re-run the production simulation according to the typical daily source-load output curve in the spring non-heating season, the typical daily source-load output curve in the summer peak electricity consumption, the typical daily source-load output curve in the autumn non-heating season, the typical daily source-load output curve in the winter peak electricity consumption, and the typical daily source-load output curve in extreme weather scenarios to obtain the maximum power shortage after adding power supply and energy storage; The initial energy storage addition data is determined based on the power shortage in the off-grid state on a typical day, the maximum power shortage after additional power supply and energy storage.

7. The microgrid source-grid-load-storage planning method according to claim 6, characterized in that: The operation constraints include: charging power constraints of energy storage, upward and downward reserve capacity constraints of energy storage, discharging power constraints of energy storage, charging and discharging power constraints of energy storage, power and capacity constraints of energy storage, and initial capacity constraints of energy storage.

8. A microgrid source-grid-load-storage planning device, characterized in that: include: Data acquisition module, data calculation module, initial configuration module, final configuration module and result generation module; The data acquisition module is used to acquire the source and load data of the microgrid; The data calculation module is used to calculate a typical day source-load output curve according to the source-load data and the season type; The initial additional configuration module is used to determine the initial power supply capacity and the initial energy storage additional configuration data according to the typical daily source load output curve; wherein the initial energy storage additional configuration data includes: initial energy storage additional configuration capacity and initial energy storage additional configuration power; The final additional configuration module is used to modify the initial power supply capacity and the initial energy storage additional configuration data according to the source-load data at a preset power grid interaction level to obtain the final power supply capacity and the final energy storage additional configuration data; wherein the final energy storage additional configuration data includes: the final energy storage additional configuration capacity and the final energy storage additional configuration power; The result generation module is used to perform microgrid source-grid-load-storage collaborative planning based on the final power supply capacity and the final energy storage addition data, and determine the optimal construction plan for the microgrid.

9. The microgrid source-grid-load-storage planning device according to claim 8, characterized in that: The source-load data include: distributed power sources, daily average output curves corresponding to each distributed power source, load types and load-day output curves corresponding to each load type; the load types include: basic support loads, residents' life loads and general loads; the typical daily source-load output curves include: typical daily source-load output curves in the spring non-heating season, typical daily source-load output curves in the summer peak electricity consumption season, typical daily source-load output curves in the autumn non-heating season, typical daily source-load output curves in the winter peak electricity consumption season and typical daily source-load output curves in extreme weather scenarios; The calculating of a typical daily source-load output curve according to the source-load data and the season type includes: Determine the type of season; If the season type is the spring non-heating season, the typical daily source-load output curve of the spring non-heating season is determined based on the maximum load daily output curves of the basic guarantee load, the residents' life load and the general load, and the daily average output curve corresponding to each distributed power source; If the season type is the peak power consumption in summer, the typical daily source-load output curve for the peak power consumption in summer shall be determined based on 70% of the maximum load daily output curve of the basic guarantee load and the residents' life load, and the daily average output curve corresponding to each distributed power source; If the season type is autumn non-heating season, the typical daily source-load output curve of autumn non-heating season is determined according to the maximum load daily output curve of basic guarantee load, residents' life load and general load, and the daily average output curve corresponding to each distributed power source; If the season type is winter peak electricity consumption, the typical daily source-load output curve of winter peak electricity consumption is determined based on 70% of the maximum load daily output curve of the basic guarantee load and the residents' life load, and the daily average output curve corresponding to each distributed power source; If the season type is an extreme weather scenario, the typical daily source-load output curve of the extreme weather scenario is determined based on 10% of the maximum load daily output curve of the basic guaranteed load and the minimum output curve corresponding to each distributed power source.

10. The microgrid source-grid-load-storage planning device according to claim 9, characterized in that: Determining the initial power supply capacity and initial energy storage additional configuration data according to the typical daily source load output curve includes: Based on the typical daily source load output curve in the spring non-heating season, the typical daily source load output curve in the summer peak electricity consumption season, the typical daily source load output curve in the autumn non-heating season, the typical daily source load output curve in the winter peak electricity consumption season, and the typical daily source load output curve in extreme weather scenarios, production simulation calculations are performed to obtain the initial power supply capacity; After the initial power supply capacity is added, a production simulation calculation is performed based on the typical daily source load output curve of the spring non-heating season, the typical daily source load output curve of the summer power consumption peak, the typical daily source load output curve of the autumn non-heating season, the typical daily source load output curve of the winter power consumption peak, and the typical daily source load output curve of the extreme weather scenario to obtain the intermediate energy storage addition data; wherein the intermediate energy storage addition data includes: the intermediate energy storage addition capacity and the intermediate energy storage addition power; After adding the initial power supply capacity and intermediate energy storage capacity data, we re-based the typical daily source load output curve in the spring non-heating season, the typical daily source load output curve in the summer peak electricity consumption, the typical daily source load output curve in the autumn non-heating season, the typical daily source load output curve in the winter peak electricity consumption, and the typical daily source load output curve in extreme weather scenarios, combined with the preset operating constraints, to perform production simulation calculations to obtain the initial energy storage capacity increase data.

11. The microgrid source-grid-load-storage planning device according to claim 10, characterized in that: The production simulation calculation is performed based on the typical daily source load output curve of the spring non-heating season, the typical daily source load output curve of the summer power consumption peak, the typical daily source load output curve of the autumn non-heating season, the typical daily source load output curve of the winter power consumption peak and the typical daily source load output curve of the extreme weather scenario to obtain the initial power supply capacity, including: According to the typical daily source-load output curve of the spring non-heating season, the typical daily source-load output curve of the summer power consumption peak, the typical daily source-load output curve of the autumn non-heating season, the typical daily source-load output curve of the winter power consumption peak, and the typical daily source-load output curve of the extreme weather scenario, production simulation is carried out to obtain the shortfall of the microgrid in the off-grid state on a typical day; Selecting a maximum power shortage from the power shortages, and determining the power generation of the additional power source based on the maximum power shortage; The initial power capacity of the microgrid is calculated based on the power generation of the additional power source and the annual utilization hours of the power source.

12. The microgrid source-grid-load-storage planning device according to claim 11, characterized in that: After the initial power supply capacity is added, production simulation calculations are performed based on the typical daily source load output curve of the spring non-heating season, the typical daily source load output curve of the summer power consumption peak, the typical daily source load output curve of the autumn non-heating season, the typical daily source load output curve of the winter power consumption peak, and the typical daily source load output curve of the extreme weather scenario to obtain intermediate energy storage addition data, including: After the initial power supply capacity is added, the production simulation is performed again based on the typical daily source load output curve of the spring non-heating season, the typical daily source load output curve of the summer power consumption peak, the typical daily source load output curve of the autumn non-heating season, the typical daily source load output curve of the winter power consumption peak, and the typical daily source load output curve of the extreme weather scenario to obtain the intermediate energy storage increase power and the maximum power shortage after the power supply is added to the microgrid; Based on the maximum power shortage after the additional power supply, the additional capacity of the intermediate energy storage after the additional power supply of the microgrid is determined.

13. The microgrid source-grid-load-storage planning device according to claim 12, characterized in that: After the initial power supply capacity and the intermediate energy storage capacity are added, the production simulation calculation is performed based on the typical daily source load output curve of the spring non-heating season, the typical daily source load output curve of the summer power consumption peak, the typical daily source load output curve of the autumn non-heating season, the typical daily source load output curve of the winter power consumption peak, and the typical daily source load output curve of the extreme weather scenario, combined with the preset operation constraints, to obtain the initial energy storage capacity addition data, including: After adding the initial power supply capacity and the intermediate energy storage capacity, based on the preset operating constraints, re-run the production simulation according to the typical daily source-load output curve in the spring non-heating season, the typical daily source-load output curve in the summer peak electricity consumption, the typical daily source-load output curve in the autumn non-heating season, the typical daily source-load output curve in the winter peak electricity consumption, and the typical daily source-load output curve in extreme weather scenarios to obtain the maximum power shortage after adding power supply and energy storage; The initial energy storage addition data is determined based on the power shortage in the off-grid state on a typical day, the maximum power shortage after additional power supply and energy storage.

14. The microgrid source-grid-load-storage planning device according to claim 13, characterized in that: The operation constraints include: charging power constraints of energy storage, upward and downward reserve capacity constraints of energy storage, discharging power constraints of energy storage, charging and discharging power constraints of energy storage, power and capacity constraints of energy storage, and initial capacity constraints of energy storage.

15. A computer terminal device, characterized in that: It comprises a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the processor executes the computer program, it implements a microgrid source-grid-load-storage planning method as described in any one of claims 1 to 7.

16. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute a microgrid source-grid-load-storage planning method as described in any one of claims 1 to 7.

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