New energy electric power storage planning method, device, equipment, storage medium and product

Abstract

The invention discloses a new energy electric power energy storage planning method, device and equipment, a storage medium and a product. The method comprises the steps of obtaining current meteorological data of an area where power equipment is located; according to the current meteorological data and the current time period, using a preset power output and consumption prediction model to predict the power capacity and the power consumption of the power equipment; and generating an energy storage configuration scheme according to the power capacity and the power consumption. According to the technical scheme provided by the invention, by considering the association relationship between the meteorological data change and the output and consumption of the new energy power system, not only is the power consumption demand change of the power demand end under different meteorological characteristics considered, but also the productivity influence of the meteorological change on the new energy power system itself is considered; therefore, the prediction of the output and consumption of the new energy power system is more accurate, the accuracy and effectiveness of energy storage configuration planning are improved, and the resource utilization rate and the system safety are further improved.

Description

Technical Field

[0001] Embodiments of the present invention relate to the field of new energy power storage technology, and in particular, to a new energy power storage planning method, device, equipment, storage medium and product. Background Art

[0002] Renewable energy generation represented by wind power and photovoltaic power has random volatility, intermittency, and non-dispatchability, and compared with synchronous generators, it does not have damping characteristics. Therefore, with the increasing penetration rate of new energy units, it has brought severe challenges to the safe and stable dispatching and operation of the power system. The energy storage system has the characteristics of energy time shifting, rapid response and flexible layout. It is an important technical means to promote the consumption of new energy and enhance the active support capacity of new energy. It can play a variety of functions such as peak regulation, frequency regulation, voltage regulation, and standby in the operation of the power system, which is conducive to promoting the development and consumption of new energy and ensuring the safe and stable operation of the power system. As far as the current new energy power system is concerned, its main new energy development and application are concentrated on the conversion of new energy such as solar energy and wind energy. Compared with traditional petrochemical energy generation, the reasonable application of new energy such as solar energy and wind energy can enable the energy storage technology in the power system to achieve scientific updates. With its many advantages such as renewable, convenient, clean, and environmentally friendly, new energy is more suitable for the energy storage technology of the power system under the sustainable development concept of energy conservation and environmental protection.

[0003] In order to improve the rationality of new energy storage configuration, the current existing technology realizes consumption prediction by constructing an uncertainty model of power user demand response under the price incentive mechanism, that is, it only considers the uncertainty impact of price incentives on the demand side, which makes the consumption prediction of new energy power have large errors and increases its uncertainty, which also leads to large errors between the predicted value and the actual value of the new energy power storage planning. Summary of the invention

[0004] The embodiments of the present invention provide a new energy power storage planning method, device, equipment, storage medium and product to accurately evaluate the production capacity and consumption of new energy power, so as to more accurately plan the configuration of new energy storage.

[0005] In a first aspect, an embodiment of the present invention provides a new energy power storage planning method, the method comprising:

[0006] Obtain current weather data for the area where the power equipment is located;

[0007] According to the current meteorological data and the current time period, the power generation and consumption of the power equipment are predicted using a preset power generation and consumption prediction model;

[0008] An energy storage configuration plan is generated according to the power generation amount and the power consumption amount.

[0009] Optionally, before predicting the power generation and power consumption of the power equipment using a preset power generation and consumption prediction model according to the current meteorological data and the current time period, the method further includes:

[0010] Obtain historical power production data, historical power demand data, and historical meteorological data for each time period;

[0011] The preset power output and consumption forecasting model is constructed according to the historical power production capacity data, the historical power demand data and the historical meteorological data.

[0012] Optionally, constructing the preset power output and consumption prediction model according to the historical power production capacity data, the historical power demand data and the historical meteorological data includes:

[0013] Determine the historical average power production capacity in each time period according to the historical power production capacity data;

[0014] Determine the historical average power consumption in each time period according to the historical power demand data;

[0015] Determine the capacity impact of the target characteristic weather according to the historical average power production and the power characteristic production under the target characteristic weather in the historical power production data;

[0016] Determining the consumption impact of the target characteristic weather according to the historical average power consumption and the characteristic power consumption under the target characteristic weather in the historical power demand data;

[0017] The preset power production and consumption prediction model is constructed according to the historical average power production, the historical average power consumption, the production capacity impact and the consumption impact.

[0018] Optionally, the energy storage configuration scheme includes at least one of energy storage mode, energy storage efficiency, energy storage amount and energy storage consumption.

[0019] Optionally, generating an energy storage configuration scheme according to the power production amount and the power consumption amount includes:

[0020] If the power consumption is greater than the power generation, determining the energy storage consumption according to the power generation and the power consumption, the energy storage consumption including output and / or power output power;

[0021] If the power consumption is less than the power generation, the remaining capacity is determined according to the power generation and the power consumption, and the energy storage method is determined according to the remaining capacity.

[0022] Optionally, the method further includes:

[0023] A protection and maintenance strategy for the electric power equipment is generated according to the current meteorological data.

[0024] In a second aspect, an embodiment of the present invention further provides a new energy power storage planning device, the device comprising:

[0025] A meteorological data acquisition module is used to obtain current meteorological data of the area where the power equipment is located;

[0026] An output and consumption prediction module is used to predict the power generation and power consumption of the power equipment using a preset power output and consumption prediction model according to the current meteorological data and the current time period;

[0027] The energy storage solution generation module is used to generate an energy storage configuration solution according to the power production amount and the power consumption amount.

[0028] In a third aspect, an embodiment of the present invention further provides a computer device, the computer device comprising:

[0029] one or more processors;

[0030] A memory for storing one or more programs;

[0031] When the one or more programs are executed by the one or more processors, the one or more processors implement the new energy power storage planning method provided by any embodiment of the present invention.

[0032] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the new energy power storage planning method provided by any embodiment of the present invention.

[0033] In a fifth aspect, an embodiment of the present invention further provides a computer program product, which includes a computer program, and when the program is executed by a processor, it implements the new energy power storage planning method provided by any embodiment of the present invention.

[0034] The embodiment of the present invention provides a new energy power storage planning method, firstly obtaining the current meteorological data of the area where the power equipment is located, then using the preset power output and consumption prediction model to predict the current power output and power consumption of the power equipment according to the current meteorological data and the current time period, and then generating a storage configuration plan according to the power output and power consumption. The new energy power storage planning method provided by the embodiment of the present invention, by considering the correlation between the change of meteorological data and the output and consumption of the new energy power system, not only considers the change of power consumption demand of the power demand side under different meteorological characteristics, but also considers the impact of meteorological changes on the production capacity of the new energy power system itself, thereby making the prediction of the output and consumption of the new energy power system more accurate, improving the accuracy and effectiveness of the storage configuration planning, and thus improving the resource utilization and system security. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 A flowchart of a new energy power storage planning method provided in Embodiment 1 of the present invention;

[0036] Figure 2 A schematic diagram of the structure of a new energy power storage planning device provided in Embodiment 2 of the present invention;

[0037] Figure 3 This is a schematic diagram of the structure of a computer device provided in Embodiment 3 of the present invention. DETAILED DESCRIPTION

[0038] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It is to be understood that the specific embodiments described herein are only used to explain the present invention, rather than to limit the present invention. It should also be noted that, for ease of description, only parts related to the present invention, rather than all structures, are shown in the accompanying drawings.

[0039] It should be mentioned before discussing the exemplary embodiments in more detail that some exemplary embodiments are described as processes or methods depicted as flow charts. Although the flow charts describe the steps as sequential processes, many of the steps therein can be implemented in parallel, concurrently or simultaneously. In addition, the order of the steps can be rearranged. The process can be terminated when its operation is completed, but can also have additional steps not included in the accompanying drawings. The process can correspond to a method, function, procedure, subroutine, subprogram, etc.

[0040] Embodiment 1

[0041] Figure 1This is a flowchart of a new energy power storage planning method provided in Example 1 of the present invention. This embodiment is applicable to the case where new energy power storage configuration is planned based on meteorological data. The method can be executed by a new energy power storage planning device provided in an embodiment of the present invention, which can be implemented by hardware and / or software and can generally be integrated into a computer device. Figure 1 As shown, the specific steps include:

[0042] S11. Obtain current meteorological data of the area where the power equipment is located.

[0043] Specifically, real-time monitoring of meteorological data can be achieved through any existing collection scheme. Meteorological data has a certain volatility over time, which makes the resources required by the new energy power system, such as wind and solar resources, have a certain volatility, which also affects the demand for the power support capacity and capacity support capacity of energy storage on the new energy side. At the same time, with the fluctuation of meteorological data, the electricity demand on the demand side will also have a certain volatility.

[0044] S12. According to the current meteorological data and the current time period, use a preset power production and consumption prediction model to predict the power production and power consumption of the power equipment.

[0045] Specifically, meteorological data can show volatility at a certain time scale (such as day, season, year, etc., or any preset time scale), that is, it has different characteristics in different time periods (such as different seasons). At the same time, even at different time points in the same time period, there may be different characteristic meteorology, resulting in certain volatility. Therefore, after obtaining the current meteorological data, the current meteorological data and the current time period can be used as the input of the pre-trained preset power output and consumption prediction model, or the current meteorological data can be used as the input of the pre-trained preset power output and consumption prediction model corresponding to the current time period, and the current power production and power consumption of the power equipment can be predicted by the preset power output and consumption prediction model used. That is, the impact of environmental factors on the demand side and the new energy side is taken into account at the same time, and the power changes of the new energy power system can be predicted more accurately, providing a scientific basis for energy storage configuration planning, thereby improving the operating efficiency and reliability of the entire new energy power system.

[0046] S13. Generate an energy storage configuration plan according to the power production and the power consumption.

[0047] Specifically, after obtaining the current power generation and power consumption of the power equipment, the energy storage configuration method can be planned according to the obtained power generation and power consumption to generate an energy storage configuration plan. Optionally, the energy storage configuration plan includes at least one of the energy storage method, energy storage efficiency, storage capacity and energy storage consumption.

[0048] Further optionally, the energy storage configuration scheme is generated according to the power generation and the power consumption, including: if the power consumption is greater than the power generation, the energy storage consumption is determined according to the power generation and the power consumption, and the energy storage consumption includes output and / or power output power; if the power consumption is less than the power generation, the remaining capacity is determined according to the power generation and the power consumption, and the energy storage method is determined according to the remaining capacity. That is, when the power consumption is greater, it is necessary to output energy storage for supplementation, and the specific supplementation method, that is, the energy storage consumption, can be determined according to the required supplementation amount, that is, the difference between the power consumption and the power generation. When the power generation is greater, it is necessary to store the remaining capacity, that is, the difference between the power generation and the power consumption, and then the specific energy storage method can be determined according to the remaining capacity, and the required storage capacity and energy storage efficiency can also be determined according to the remaining capacity to prompt the staff to configure. Among them, the energy storage method can be selected and configured from battery energy storage technology, pumped storage technology, supercapacitor, flywheel energy storage, chemical energy storage technology, thermal energy storage technology, etc. For example, when the remaining capacity is small, you can choose a battery energy storage method with a smaller storage capacity. When the remaining capacity is large, you can choose to configure more battery energy storage, or configure other energy storage devices with a larger storage capacity. Further, you can combine other management technologies and scheduling technologies to further improve energy utilization efficiency.

[0049] On the basis of the above technical solution, optionally, before predicting the power generation and power consumption of the power equipment using the preset power generation and consumption prediction model according to the current meteorological data and the current time period, it also includes: obtaining historical power production capacity data, historical power demand data and historical meteorological data in each time period; constructing the preset power generation and consumption prediction model according to the historical power production capacity data, the historical power demand data and the historical meteorological data. By using the above relevant historical data, a more accurate and stable preset power generation and consumption prediction model can be constructed based on the impact of different time periods (such as seasons) and different meteorological environments on the output and consumption of new energy power.

[0050] Further optionally, the preset power output and consumption forecast model is constructed according to the historical power production capacity data, the historical power demand data and the historical meteorological data, including: determining the historical average power production in each time period according to the historical power production capacity data; determining the historical average power consumption in each time period according to the historical power demand data; determining the capacity impact of the target characteristic meteorology according to the historical average power production and the power characteristic production under the target characteristic meteorology in the historical power production capacity data; determining the consumption impact of the target characteristic meteorology according to the historical average power consumption and the power characteristic consumption under the target characteristic meteorology in the historical power demand data; and constructing the preset power output and consumption forecast model according to the historical average power production, the historical average power consumption, the capacity impact and the consumption impact.

[0051] Specifically, after obtaining the historical power production capacity data, the historical average power production capacity in different time periods can be calculated, and the historical power production capacity change trend in different time periods can also be determined. After obtaining the historical power demand data, the historical average power consumption in different time periods can be calculated, and the historical power consumption change trend in different time periods can also be determined. The target characteristic meteorology may include rainy days, snowy days, foggy days, windy sand, high temperatures, low temperatures, etc., and the corresponding power characteristic production capacity of the target characteristic meteorology at the corresponding time can be determined from the historical power production capacity data, and the power characteristic consumption of the target characteristic meteorology at the corresponding time can be determined from the historical power demand data. Then, the capacity impact of the corresponding target characteristic meteorology can be determined based on the historical average power production capacity and the power characteristic production capacity, and the consumption impact of the corresponding target characteristic meteorology can be determined based on the historical average power consumption and the power characteristic consumption, wherein the capacity impact and consumption impact can be expressed in percentages, and the capacity impact and consumption impact in each time period can be determined respectively. Then, a preset power output and consumption forecast model can be constructed based on the obtained historical average power production, historical average power consumption, capacity impact, and consumption impact. The model can also be optimized by combining the historical power production capacity change trend and the historical power consumption change trend. In the process of applying the model, the accuracy and effectiveness of the forecast results can also be maintained through continuous iterative optimization.

[0052] On the basis of the above technical solution, optionally, the method further includes: generating a protection and maintenance strategy for the power equipment according to the current meteorological data. Specifically, meteorological elements such as wind speed, wind direction, irradiance, and cloud cover are the basic information for establishing a new energy power prediction model, that is, these meteorological elements will affect the power generation efficiency of new energy power equipment. Therefore, after obtaining the current meteorological data, a protection and maintenance strategy for power equipment can also be generated according to the current meteorological data, thereby further improving the energy utilization efficiency of the new energy power system. Exemplarily, in dusty weather, sand and dust may be deposited on photovoltaic panels, which will reduce the power generation efficiency of photovoltaic panels, and a protection and maintenance strategy can be generated to prompt staff to perform dust removal operations. In addition, the power generation capacity and power consumption of power equipment can be further predicted in combination with the impact of different meteorological environments on the power generation efficiency of new energy power equipment to further improve the accuracy of the prediction results.

[0053] The technical solution provided by the embodiment of the present invention first obtains the current meteorological data of the area where the power equipment is located, and then uses the preset power output and consumption prediction model to predict the current power production and power consumption of the power equipment according to the current meteorological data and the current time period, and then generates an energy storage configuration plan based on the power production and power consumption. By considering the correlation between the changes in meteorological data and the output and consumption of the new energy power system, not only the changes in the power consumption demand of the power demand side under different meteorological characteristics are considered, but also the impact of meteorological changes on the production capacity of the new energy power system itself is considered, so that the prediction of the output and consumption of the new energy power system is more accurate, and the accuracy and effectiveness of the energy storage configuration plan are improved, thereby improving resource utilization and system security.

[0054] Embodiment 2

[0055] Figure 2 This is a schematic diagram of the structure of the new energy power storage planning device provided in the second embodiment of the present invention. The device can be implemented by hardware and / or software, and can generally be integrated into a computer device to execute the new energy power storage planning method provided in any embodiment of the present invention. Figure 2 As shown, the device comprises:

[0056] The meteorological data acquisition module 21 is used to acquire the current meteorological data of the area where the power equipment is located;

[0057] The output and consumption prediction module 22 is used to predict the power generation and power consumption of the power equipment using a preset power output and consumption prediction model according to the current meteorological data and the current time period;

[0058] The energy storage solution generation module 23 is used to generate an energy storage configuration solution according to the power production amount and the power consumption amount.

[0059] The technical solution provided by the embodiment of the present invention first obtains the current meteorological data of the area where the power equipment is located, and then uses the preset power output and consumption prediction model to predict the current power production and power consumption of the power equipment according to the current meteorological data and the current time period, and then generates an energy storage configuration plan based on the power production and power consumption. By considering the correlation between the changes in meteorological data and the output and consumption of the new energy power system, not only the changes in the power consumption demand of the power demand side under different meteorological characteristics are considered, but also the impact of meteorological changes on the production capacity of the new energy power system itself is considered, so that the prediction of the output and consumption of the new energy power system is more accurate, and the accuracy and effectiveness of the energy storage configuration plan are improved, thereby improving resource utilization and system security.

[0060] On the basis of the above technical solution, optionally, the new energy power storage planning device further includes:

[0061] A historical data acquisition module, used to acquire historical power production data, historical power demand data and historical meteorological data in each time period before predicting the power production and power consumption of the power equipment using a preset power production and consumption prediction model based on the current meteorological data and the current time period;

[0062] The prediction model building module is used to build the preset power output and consumption prediction model according to the historical power production capacity data, the historical power demand data and the historical meteorological data.

[0063] On the basis of the above technical solution, optionally, the prediction model building module is specifically used for:

[0064] Determine the historical average power production capacity in each time period according to the historical power production capacity data;

[0065] Determine the historical average power consumption in each time period according to the historical power demand data;

[0066] Determine the capacity impact of the target characteristic weather according to the historical average power production and the power characteristic production under the target characteristic weather in the historical power production data;

[0067] Determining the consumption impact of the target characteristic weather according to the historical average power consumption and the characteristic power consumption under the target characteristic weather in the historical power demand data;

[0068] The preset power production and consumption prediction model is constructed according to the historical average power production, the historical average power consumption, the production capacity impact and the consumption impact.

[0069] On the basis of the above technical solution, optionally, the energy storage configuration solution includes at least one of energy storage mode, energy storage efficiency, energy storage amount and energy storage consumption.

[0070] On the basis of the above technical solution, optionally, the energy storage solution generation module 23 is specifically used for:

[0071] If the power consumption is greater than the power generation, determining the energy storage consumption according to the power generation and the power consumption, the energy storage consumption including output and / or power output power;

[0072] If the power consumption is less than the power generation, the remaining capacity is determined according to the power generation and the power consumption, and the energy storage method is determined according to the remaining capacity.

[0073] On the basis of the above technical solution, optionally, the new energy power storage planning device further includes:

[0074] A protection and maintenance strategy generation module is used to generate a protection and maintenance strategy for the power equipment according to the current meteorological data.

[0075] The new energy power storage planning device provided in the embodiment of the present invention can execute the new energy power storage planning method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0076] It is worth noting that in the embodiment of the above-mentioned new energy power storage planning device, the various units and modules included are only divided according to functional logic, but are not limited to the above-mentioned division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present invention.

[0077] Embodiment 3

[0078] Figure 3 The schematic diagram of the structure of the computer device provided for the third embodiment of the present invention shows a block diagram of an exemplary computer device suitable for implementing the implementation mode of the present invention. Figure 3 The computer device shown is only an example and should not limit the functions and scope of use of the embodiments of the present invention. Figure 3 As shown, the computer device includes a processor 31, a memory 32, an input device 33 and an output device 34; the number of processors 31 in the computer device can be one or more. Figure 3 Taking a processor 31 as an example, the processor 31, memory 32, input device 33 and output device 34 in the computer device can be connected through a bus or other means. Figure 3 The example of connecting through bus is taken in the following.

[0079] The memory 32, as a computer-readable storage medium, can be used to store software programs, computer executable programs and modules, such as the program instructions / modules corresponding to the new energy power storage planning method in the embodiment of the present invention (for example, the meteorological data acquisition module 21, the output consumption prediction module 22 and the energy storage solution generation module 23 in the new energy power storage planning device). The processor 31 executes various functional applications and data processing of the computer device by running the software programs, instructions and modules stored in the memory 32, that is, realizing the above-mentioned new energy power storage planning method.

[0080] The memory 32 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system and at least one application required for a function; the data storage area may store data created according to the use of the computer device, etc. In addition, the memory 32 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some instances, the memory 32 may further include a memory remotely arranged relative to the processor 31, and these remote memories may be connected to the computer device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0081] The input device 33 can be used to obtain the current meteorological data of the area where the power equipment is located, and to generate key signal input related to user settings and function control of the computer equipment, etc. The output device 34 can be used to send energy storage configuration plans to operation and maintenance personnel, etc.

[0082] Embodiment 4

[0083] Embodiment 4 of the present invention further provides a storage medium containing computer executable instructions, which, when executed by a computer processor, is used to execute a new energy power storage planning method, the method comprising:

[0084] Obtain current weather data for the area where the power equipment is located;

[0085] According to the current meteorological data and the current time period, the power generation and consumption of the power equipment are predicted using a preset power generation and consumption prediction model;

[0086] An energy storage configuration plan is generated according to the power generation amount and the power consumption amount.

[0087] The storage medium may be any of various types of memory devices or storage devices. The term "storage medium" is intended to include: installation media, such as CD-ROM, floppy disk or tape device; computer system memory or random access memory, such as DRAM, DDR RAM, SRAM, EDO RAM, Rambus RAM, etc.; non-volatile memory, such as flash memory, magnetic media (such as hard disk or optical storage); registers or other similar types of memory elements, etc. The storage medium may also include other types of memory or combinations thereof. In addition, the storage medium may be located in the computer system in which the program is executed, or may be located in a different second computer system, which is connected to the computer system via a network (such as the Internet). The second computer system may provide program instructions to the computer for execution. The term "storage medium" may include two or more storage media that may reside in different locations (e.g., in different computer systems connected via a network). The storage medium may store program instructions (e.g., embodied as a computer program) that may be executed by one or more processors.

[0088] Of course, the storage medium containing computer executable instructions provided in an embodiment of the present invention is not limited to the method operations described above, and can also execute related operations in the new energy power storage planning method provided in any embodiment of the present invention.

[0089] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, which carry computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0090] The program code embodied on the computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

[0091] Through the above description of the implementation methods, the technicians in the relevant field can clearly understand that the present invention can be implemented by means of software and necessary general hardware, and of course it can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ROM), random access memory (RAM), flash memory (FLASH), hard disk or optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, server, or network device, etc.) to execute the methods described in each embodiment of the present invention.

[0092] Embodiment 5

[0093] Embodiment 5 of the present invention also provides a computer program product, which includes a computer program (also referred to as code, instruction), which can be stored in a computer-readable storage medium. When the computer program is executed by a processor, it is used to execute the new energy power storage planning method provided in any of the above embodiments, and has the corresponding beneficial effects of the execution method.

[0094] Note that the above are only preferred embodiments of the present invention and the technical principles used. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and that various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in more detail through the above embodiments, the present invention is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims

1. A new energy power storage planning method, characterized in that: include: Obtain current weather data for the area where the power equipment is located; According to the current meteorological data and the current time period, the power generation and consumption of the power equipment are predicted using a preset power generation and consumption prediction model; An energy storage configuration plan is generated according to the power production amount and the power consumption amount.

2. The new energy power storage planning method according to claim 1 is characterized in that: Before predicting the power generation and consumption of the power equipment using a preset power generation and consumption prediction model according to the current meteorological data and the current time period, the method further includes: Obtain historical power production data, historical power demand data, and historical meteorological data for each time period; The preset power output and consumption forecasting model is constructed according to the historical power production capacity data, the historical power demand data and the historical meteorological data.

3. The new energy power storage planning method according to claim 2 is characterized in that: The constructing the preset power output and consumption prediction model according to the historical power production capacity data, the historical power demand data and the historical meteorological data includes: Determine the historical average power production capacity in each time period according to the historical power production capacity data; Determine the historical average power consumption in each time period according to the historical power demand data; Determine the capacity impact of the target characteristic weather according to the historical average power production and the characteristic power production under the target characteristic weather in the historical power production data; Determining the consumption impact of the target characteristic weather according to the historical average power consumption and the characteristic power consumption under the target characteristic weather in the historical power demand data; The preset power production and consumption prediction model is constructed according to the historical average power production, the historical average power consumption, the production capacity impact and the consumption impact.

4. The new energy power storage planning method according to claim 1 is characterized in that: The energy storage configuration scheme includes at least one of energy storage mode, energy storage efficiency, energy storage amount and energy storage consumption.

5. The new energy power storage planning method according to claim 4 is characterized in that: The generating of the energy storage configuration scheme according to the power generation amount and the power consumption amount comprises: If the power consumption is greater than the power generation, determining the energy storage consumption according to the power generation and the power consumption, the energy storage consumption including output and / or power output power; If the power consumption is less than the power generation, the remaining capacity is determined according to the power generation and the power consumption, and the energy storage method is determined according to the remaining capacity.

6. The new energy power storage planning method according to claim 1 is characterized in that: The method further comprises: A protection and maintenance strategy for the electric power equipment is generated according to the current meteorological data.

7. A new energy power storage planning device, characterized in that: include: A meteorological data acquisition module is used to obtain current meteorological data of the area where the power equipment is located; An output and consumption prediction module is used to predict the power generation and power consumption of the power equipment using a preset power output and consumption prediction model according to the current meteorological data and the current time period; The energy storage solution generation module is used to generate an energy storage configuration solution according to the power production amount and the power consumption amount.

8. A computer device, characterized in that: include: one or more processors; A memory for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the new energy power storage planning method as described in any one of claims 1-6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the new energy power storage planning method as described in any one of claims 1 to 6 is implemented.

10. A computer program product, comprising a computer program, characterized in that When executed by a processor, the computer program implements the new energy power storage planning method as described in any one of claims 1-6.

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