A configuration optimization method, device and medium for BMS battery energy storage system

Abstract

The present invention discloses a configuration optimization method, device and medium for a BMS battery energy storage system, relates to the field of battery energy storage, solves the problem that the optimization of the configuration of the battery energy storage system is limited to the energy storage performance of the configuration optimization energy storage device, analyzes the regional situation of the area where the battery energy storage system is located, and obtains the regional configuration value of the area where the battery energy storage system is located; analyzes the environmental situation of the area where the battery energy storage system is located, and obtains the environmental configuration value of the area where the battery energy storage system is located; sets the configuration of the energy storage device in the area where the battery energy storage system is located in combination with the regional configuration value and the environmental configuration value, and obtains the configuration parameters of the energy storage device in the area where the battery energy storage system is located; optimizes the configuration of the energy storage device in the area where the battery energy storage system is located according to the configuration parameters, generates a device optimization signal or a spacing optimization signal, and adjusts the energy storage device in the area where the battery energy storage system is located according to the signal. The present invention combines multiple factors to realize accurate optimization of the configuration of the battery energy storage system.

Description

Technical Field

[0001] The present invention relates to the field of battery technology, and in particular to a configuration optimization method, device and medium for a BMS battery energy storage system. Background Art

[0002] The BMS battery system is commonly known as a battery nanny or battery steward. Its main function is to intelligently manage and maintain each battery unit, monitor the battery status, prevent the battery from overcharging and over-discharging, and extend the battery life. The BMS battery management system unit includes a BMS battery management system, a control module, a display module, a wireless communication module, electrical equipment, a battery pack for powering electrical equipment, and a collection module for collecting battery information of the battery pack. The BMS battery management system is connected to the wireless communication module and the display module through communication interfaces respectively. The output end of the collection module is connected to the input end of the BMS battery management system. The output end of the BMS battery management system is connected to the input end of the control module. The control module is connected to the battery pack and electrical equipment respectively. The BMS battery management system is connected to the Server server through a wireless communication module.

[0003] In the prior art, the optimization of the configuration of the battery energy storage system is limited to the configuration optimization of the energy storage performance of the energy storage equipment, without considering the influence of regional factors and environmental factors on the battery energy storage system, and thus it is impossible to accurately optimize the configuration of the battery energy storage system;

[0004] To this end, we propose a configuration optimization method, device and medium for a BMS battery energy storage system. Summary of the invention

[0005] The purpose of the present invention is to solve the above-mentioned problems and propose a configuration optimization method, device and medium for a BMS battery energy storage system, so as to solve the problem that the optimization of the battery energy storage system configuration proposed in the above-mentioned background technology is limited to the energy storage performance of the configuration optimization energy storage device, and does not take into account the influence of regional factors and environmental factors in the area on the battery energy storage system, thereby failing to accurately optimize the configuration of the battery energy storage system.

[0006] In order to achieve the above object, the present invention adopts the following technical solutions:

[0007] A configuration optimization method for a BMS battery energy storage system, the method is as follows:

[0008] Step S10, collecting real-time regional data of the area where the battery energy storage system is located;

[0009] Step S20, analyzing the regional situation of the area where the battery energy storage system is located, and obtaining the regional configuration value of the area where the battery energy storage system is located;

[0010] Step S30, analyzing the environmental conditions of the area where the battery energy storage system is located, and obtaining the environmental configuration value of the area where the battery energy storage system is located;

[0011] Step S40, setting the configuration of the energy storage device in the area where the battery energy storage system is located in combination with the regional configuration value and the environmental configuration value, and obtaining the configuration parameters of the energy storage device in the area where the battery energy storage system is located;

[0012] Step S50, collecting current configuration data of the area where the battery energy storage system is located, optimizing the configuration of energy storage equipment in the area where the battery energy storage system is located according to the configuration parameters, generating equipment optimization signals or spacing optimization signals, and adjusting the energy storage equipment in the area where the battery energy storage system is located according to the signals.

[0013] Furthermore, the real-time regional data includes the regional area of ​​the area where the battery energy storage system is located, the number of renewable energy sources in the area where the battery energy storage system is located, and the amount of excess energy of each renewable energy source.

[0014] Furthermore, the analysis process of step S20 is specifically as follows:

[0015] The area where the battery energy storage system is located is marked as i, where i is the number of the area where the battery energy storage system is located;

[0016] The area of ​​the region where the battery energy storage system is located, and the area is marked as QMi;

[0017] Obtain the amount of renewable energy in the area where the battery energy storage system is located, and record the amount of renewable energy as the renewable energy number NSi;

[0018] Then, the excess energy of each renewable energy in the area where the battery energy storage system is located is obtained, and the excess energy of each renewable energy is added together to obtain the total excess energy NLi of renewable energy in the area where the battery energy storage system is located;

[0019] The regional configuration value QPi of the area where the battery energy storage system is located is calculated by the formula. The specific formula is as follows:

[0020] QPi=QMi×a1+NSi×a2+NLi×a3; where a1, a2 and a3 are weight coefficients with fixed values.

[0021] Furthermore, the historical environmental data includes the number of extreme weather events in the area where the battery energy storage system is located, the number of power outages in the area where the battery energy storage system is located, and the duration of each power outage.

[0022] Furthermore, the analysis process in step S30 is specifically as follows:

[0023] Obtain the number of extreme weather events in the area where the battery energy storage system is located, and mark the number of occurrences as FCi;

[0024] Then, the number of power outages in the area where the battery energy storage system is located and the duration of each power outage are obtained, and the duration of each power outage is added and divided by the number of power outages to obtain the average duration of power outages JTi in the area where the battery energy storage system is located;

[0025] The environmental configuration value HPi of the area where the battery energy storage system is located is calculated by the formula HPi=FCi×b1+JTi×b2; where b1 and b2 are weight coefficients with fixed values.

[0026] Furthermore, the setting process in step S50 is specifically as follows:

[0027] Obtain the regional configuration value QPi and the environmental configuration value HPi of the area where the battery energy storage system is located obtained by the above calculation;

[0028] The equipment configuration value SPi of the area where the battery energy storage system is located is calculated by the formula SPi=(QPi*c1+HPi*c1) / (c1+c2); where c1 and c2 are both fixed proportional coefficients, and the values ​​of c1 and c2 are both greater than zero;

[0029] Acquire a device configuration threshold stored in the storage module, and compare the device configuration value with the device configuration threshold; the device configuration threshold includes a first device configuration threshold and a second device configuration threshold;

[0030] If the device configuration value is less than the first device configuration threshold, the configuration level of the energy storage device in the area where the battery energy storage system is located is the third configuration level;

[0031] If the device configuration value is greater than or equal to the first device configuration threshold and less than the second device configuration threshold, the configuration level of the energy storage device in the area where the battery energy storage system is located is the second configuration level;

[0032] If the device configuration value is greater than or equal to the second device configuration threshold, the configuration level of the energy storage device in the area where the battery energy storage system is located is the first configuration level;

[0033] wherein the level of the first configuration level is higher than the level of the second configuration level, and the level of the second configuration level is higher than the level of the third configuration level;

[0034] The configuration parameters of the energy storage equipment in the area where the battery energy storage system is located are set according to the configuration level. The configuration process of the configuration parameters is as follows:

[0035] If it is the first configuration level, the preset number of energy storage devices in the area where the battery energy storage system is located is X3, and the configuration spacing interval of the energy storage devices is [Y1, Y2);

[0036] If it is the second configuration level, the preset number of energy storage devices in the area where the battery energy storage system is located is X2, and the configuration spacing interval of the energy storage devices is [Y2, Y3);

[0037] If it is the third configuration level, the preset number of energy storage devices in the area where the battery energy storage system is located is X1, and the configuration spacing interval of the energy storage devices is [Y3, Y4]; among which, X1<X2<X3, Y1<Y2<Y3<Y4.

[0038] Furthermore, the current configuration data is the real-time number of energy storage devices in the area where the battery energy storage system is located and the real-time distance between the energy storage devices.

[0039] Furthermore, the optimization process in step S60 is specifically as follows:

[0040] Obtain the real-time number of energy storage devices in the area where the battery energy storage system is located;

[0041] If the real-time number of devices is not equal to the preset number of devices, a device optimization signal is generated;

[0042] If the real-time device number is equal to the preset device number, proceed to the next step;

[0043] Obtain the real-time distance between energy storage devices in the area where the battery energy storage system is located;

[0044] If the real-time spacing is within the configured spacing range, no operation is performed;

[0045] If the real-time spacing does not belong to the configured spacing interval, a spacing optimization signal is generated.

[0046] A computer device, comprising:

[0047] A memory storing a computer program;

[0048] A processor is communicatively connected to the memory, and when the computer program is executed by the processor, the method described is implemented.

[0049] A computer-readable storage medium stores a computer program, which implements the method when executed by a processor.

[0050] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0051] The present invention first analyzes the regional conditions of the area where the battery energy storage system is located on the one hand, and obtains the regional configuration value of the area where the battery energy storage system is located. On the other hand, it analyzes the environmental conditions of the area where the battery energy storage system is located, and obtains the environmental configuration value of the area where the battery energy storage system is located. Then, the configuration of the energy storage equipment in the area where the battery energy storage system is located is set in combination with the regional configuration value and the environmental configuration value to obtain the configuration parameters of the energy storage equipment in the area where the battery energy storage system is located. According to the configuration parameters, the configuration of the energy storage equipment in the area where the battery energy storage system is located is optimized, and an equipment optimization signal or a spacing optimization signal is generated. According to the signal, the energy storage equipment in the area where the battery energy storage system is located is adjusted. The present invention combines multiple factors to realize accurate optimization of the configuration of the battery energy storage system. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0053] Figure 1 is a flow chart of the method of the present invention;

[0054] Figure 2 is a system block diagram of the present invention;

[0055] Figure 3 is another system block diagram of the present invention;

[0056] Figure 4 It is a schematic diagram of the structure of the computer device in the present invention. DETAILED DESCRIPTION

[0057] 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.

[0058] See also Figure 1-Figure 3 As shown, the present invention provides a technical solution: a configuration optimization method for a BMS battery energy storage system, the method is as follows:

[0059] Step S10, the data acquisition module acquires real-time regional data of the area where the battery energy storage system is located, and sends the real-time regional data to the server, and the server sends the real-time regional data to the regional analysis module;

[0060] Step S20, the regional analysis module analyzes the regional situation of the area where the battery energy storage system is located, obtains the regional configuration value of the area where the battery energy storage system is located, and sends it to the server, and the server sends the regional configuration value of the area where the battery energy storage system is located to the configuration setting module;

[0061] Step S30, the environment analysis module analyzes the environment of the area where the battery energy storage system is located, obtains the environment configuration value of the area where the battery energy storage system is located, and feeds it back to the server, and the server sends the environment configuration value of the area where the battery energy storage system is located to the configuration setting module;

[0062] Step S40, the configuration setting module sets the configuration of the energy storage equipment in the area where the battery energy storage system is located, and feeds back the configuration parameters of the energy storage equipment in the area where the battery energy storage system is located to the server, and the server sends the configuration parameters of the energy storage equipment in the area where the battery energy storage system is located to the configuration optimization module;

[0063] Step S50: The data acquisition module also acquires the current configuration data of the area where the battery energy storage system is located, and sends the current configuration data to the configuration optimization module. The configuration optimization module optimizes the configuration of the energy storage equipment in the area where the battery energy storage system is located, and generates an equipment optimization signal or a spacing optimization signal to feed back to the server. The server sends the equipment optimization signal or the spacing optimization signal to the management terminal, and the management terminal adjusts the energy storage equipment in the area where the battery energy storage system is located according to the signal.

[0064] As a further solution of the present invention, a configuration optimization method for a BMS battery energy storage system also includes:

[0065] Step S60, the data acquisition module acquires real-time device data of the energy storage device in the battery energy storage system, and sends the real-time device data to the server, and the server sends the real-time device data to the device analysis module;

[0066] Step S70, the equipment analysis module analyzes the equipment status of the energy storage equipment in the battery energy storage system, generates equipment maintenance signals, equipment normal signals or equipment abnormal signals, and feeds them back to the server. The server sends the equipment maintenance signals, equipment normal signals or equipment abnormal signals to the management terminal, and the management terminal maintains the energy storage equipment in the area where the battery energy storage system is located according to the signals.

[0067] Battery Management System (BMS) is designed and developed based on the characteristics of high-capacity, large-scale energy storage battery arrays. It mainly monitors, manages and protects the status of large-scale battery arrays to ensure that the battery storage capacity is fully utilized and the battery life is extended under the premise of safe use, thereby achieving the purpose of efficient use of the battery.

[0068] In this embodiment, the above method involves a server, and the server is connected to a data acquisition module, a device analysis module, a configuration setting module, a storage module, an environment analysis module, a configuration optimization module, a regional analysis module and a management terminal;

[0069] The data acquisition module is used to collect real-time regional data of the area where the battery energy storage system is located, and send the real-time regional data to the server, and the server sends the real-time regional data to the regional analysis module;

[0070] It should be specified that the real-time regional data are the regional area where the battery energy storage system is located, the number of renewable energy sources in the area where the battery energy storage system is located, and the amount of excess energy of each renewable energy source, where renewable energy sources include stored wind and solar power plants, etc.;

[0071] The regional analysis module is used to analyze the regional situation of the area where the battery energy storage system is located. The specific analysis process is as follows:

[0072] The area where the battery energy storage system is located is marked as i, where i is the number of the area where the battery energy storage system is located;

[0073] The area of ​​the region where the battery energy storage system is located, and the area is marked as QMi;

[0074] Obtain the amount of renewable energy in the area where the battery energy storage system is located, and record the amount of renewable energy as the renewable energy number NSi;

[0075] Then, the excess energy of each renewable energy in the area where the battery energy storage system is located is obtained, and the excess energy of each renewable energy is added together to obtain the total excess energy NLi of renewable energy in the area where the battery energy storage system is located;

[0076] The regional configuration value QPi of the area where the battery energy storage system is located is calculated by the formula. The specific formula is as follows:

[0077] QPi=QMi×a1+NSi×a2+NLi×a3; where a1, a2 and a3 are weight coefficients with fixed values;

[0078] The regional analysis module sends the regional configuration value of the area where the battery energy storage system is located to the server, and the server sends the regional configuration value of the area where the battery energy storage system is located to the configuration setting module;

[0079] Furthermore, the storage module is used to record the historical environmental data of the area where the battery energy storage system is located, and at the same time, the storage module is data-connected with the environmental analysis module;

[0080] Specifically, the historical environmental data includes the number of extreme weather events in the area where the battery energy storage system is located, the number of power outages in the area where the battery energy storage system is located, and the duration of each power outage. Extreme weather refers to weather that can cause power damage in the area where the battery energy storage system is located, such as extreme high temperatures, extreme low temperatures, extreme precipitation, extreme drought, hail, strong winds, tornadoes, thunderstorms, tropical cyclones, and other extreme weather.

[0081] The environmental analysis module is used to analyze the environmental conditions of the area where the battery energy storage system is located. The specific analysis process is as follows:

[0082] Obtain the number of extreme weather events in the area where the battery energy storage system is located, and mark the number of occurrences as FCi;

[0083] Then, the number of power outages in the area where the battery energy storage system is located and the duration of each power outage are obtained, and the duration of each power outage is added and divided by the number of power outages to obtain the average duration of power outages JTi in the area where the battery energy storage system is located;

[0084] The environmental configuration value HPi of the area where the battery energy storage system is located is calculated by the formula HPi=FCi×b1+JTi×b2; where b1 and b2 are weight coefficients with fixed values;

[0085] The environmental analysis module feeds back the environmental configuration value of the area where the battery energy storage system is located to the server, and the server sends the environmental configuration value of the area where the battery energy storage system is located to the configuration setting module;

[0086] The configuration setting module is used to set the configuration of the energy storage device in the area where the battery energy storage system is located. The setting process is as follows:

[0087] Obtain the regional configuration value QPi and the environmental configuration value HPi of the area where the battery energy storage system is located obtained by the above calculation;

[0088] The equipment configuration value SPi of the area where the battery energy storage system is located is calculated by the formula SPi=(QPi*c1+HPi*c1) / (c1+c2); where c1 and c2 are both fixed proportional coefficients, and the values ​​of c1 and c2 are both greater than zero;

[0089] Acquire a device configuration threshold stored in the storage module, and compare the device configuration value with the device configuration threshold; the device configuration threshold includes a first device configuration threshold and a second device configuration threshold, and the first device configuration threshold is less than the second device configuration threshold;

[0090] If the device configuration value is less than the first device configuration threshold, the configuration level of the energy storage device in the area where the battery energy storage system is located is the third configuration level;

[0091] If the device configuration value is greater than or equal to the first device configuration threshold and less than the second device configuration threshold, the configuration level of the energy storage device in the area where the battery energy storage system is located is the second configuration level;

[0092] If the device configuration value is greater than or equal to the second device configuration threshold, the configuration level of the energy storage device in the area where the battery energy storage system is located is the first configuration level;

[0093] wherein the level of the first configuration level is higher than the level of the second configuration level, and the level of the second configuration level is higher than the level of the third configuration level;

[0094] The configuration parameters of the energy storage equipment in the area where the battery energy storage system is located are set according to the configuration level. The configuration process of the configuration parameters is as follows:

[0095] If it is the first configuration level, the preset number of energy storage devices in the area where the battery energy storage system is located is X3, and the configuration spacing interval of the energy storage devices is [Y1, Y2);

[0096] If it is the second configuration level, the preset number of energy storage devices in the area where the battery energy storage system is located is X2, and the configuration spacing interval of the energy storage devices is [Y2, Y3);

[0097] If it is the third configuration level, the preset number of energy storage devices in the area where the battery energy storage system is located is X1, and the configuration spacing interval of the energy storage devices is [Y3, Y4]; wherein X1<X2<X3, Y1<Y2<Y3<Y4, and the configuration parameters are specifically the preset number of energy storage devices and the configuration spacing of the energy storage devices in the area where the battery energy storage system is located;

[0098] The configuration setting module feeds back the configuration parameters of the energy storage devices in the area where the battery energy storage system is located to the server, and the server sends the configuration parameters of the energy storage devices in the area where the battery energy storage system is located to the configuration optimization module;

[0099] The data acquisition module is also used to collect current configuration data of the area where the battery energy storage system is located, and send the current configuration data to the configuration optimization module; wherein the current configuration data is the real-time number of energy storage devices in the area where the battery energy storage system is located and the real-time spacing between the energy storage devices;

[0100] The configuration optimization module is used to optimize the configuration of energy storage equipment in the area where the battery energy storage system is located. The optimization process is specifically as follows:

[0101] Obtain the real-time number of energy storage devices in the area where the battery energy storage system is located;

[0102] If the real-time number of devices is not equal to the preset number of devices, a device optimization signal is generated;

[0103] If the real-time device number is equal to the preset device number, proceed to the next step;

[0104] Obtain the real-time distance between energy storage devices in the area where the battery energy storage system is located;

[0105] If the real-time spacing is within the configured spacing range, no operation is performed;

[0106] If the real-time spacing does not belong to the configured spacing interval, a spacing optimization signal is generated;

[0107] The configuration optimization module feeds back the device optimization signal or the spacing optimization signal to the server, and the server sends the device optimization signal or the spacing optimization signal to the management terminal, and the management terminal is used to adjust the energy storage equipment in the area where the battery energy storage system is located according to the signal;

[0108] Specifically, the management terminal is logged in and used by staff in the area where the battery energy storage system is located. When receiving the equipment optimization signal, the number of energy storage devices in the area where the battery energy storage system is located is increased or decreased. When receiving the spacing optimization signal, the spacing of energy storage devices in the area where the battery energy storage system is located is adjusted.

[0109] As a further solution of the present invention, please refer to Figure 3 As shown, the data acquisition module is used to collect real-time device data of energy storage devices in the battery energy storage system, and send the real-time device data to the server, and the server sends the real-time device data to the device analysis module;

[0110] It should be specifically noted that the real-time device data is the real-time temperature value, real-time current value and real-time voltage value of the energy storage device in the battery energy storage system. In practice, the energy storage device may be a lead-acid battery.

[0111] Furthermore, the storage module is used to record the equipment usage data of the energy storage device in the battery energy storage system. At the same time, the storage module is data-connected with the equipment analysis module. Specifically, the equipment usage data is the commissioning time, standard voltage range, standard current area and standard temperature range of the energy storage device in the battery energy storage system;

[0112] The device analysis module is used to analyze the device status of the energy storage device in the battery energy storage system. The specific analysis process is as follows:

[0113] Obtain the commissioning time of the energy storage equipment in the area where the battery energy storage system is located, and subtract the commissioning time from the current time of the server to obtain the usage time of the energy storage equipment in the area where the battery energy storage system is located;

[0114] If the usage time exceeds the service life, an equipment maintenance signal is generated;

[0115] If the usage time does not exceed the service life, proceed to the next step;

[0116] Obtain the real-time temperature value, real-time temperature value and real-time voltage value of the energy storage equipment in the area where the battery energy storage system is located;

[0117] If the real-time voltage value belongs to the standard voltage range, the real-time current value belongs to the standard current range, and the real-time temperature value belongs to the standard temperature range, a normal device signal is generated;

[0118] If any of the following conditions occurs: the real-time voltage value does not belong to the standard voltage range, the real-time current value does not belong to the standard current range, and the real-time temperature value does not belong to the standard temperature range, an equipment abnormality signal is generated;

[0119] The equipment analysis module feeds back the equipment maintenance signal, the equipment normal signal or the equipment abnormal signal to the server, and the server sends the equipment maintenance signal, the equipment normal signal or the equipment abnormal signal to the management terminal, and the management terminal is used to maintain the energy storage equipment in the area where the battery energy storage system is located according to the signal;

[0120] In this application, if corresponding calculation formulas appear, the above calculation formulas are all dimensionless and take their numerical calculations. The weight coefficients, proportional coefficients and other coefficients in the formulas are set to a result value obtained by quantifying each parameter. The size of the weight coefficient and the proportional coefficient can be determined as long as it does not affect the proportional relationship between the parameter and the result value.

[0121] Figure 4 The following is a schematic diagram of the physical structure of a computer device, such as Figure 4As shown, the computer device may include: a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus. The processor may call the logic instructions in the memory to execute the automatic mapping method of the power grid topology of the important power supply guarantee site, the method comprising: a data acquisition module acquires the real-time regional data of the area where the battery energy storage system is located, and sends the real-time regional data to the server, and the server sends the real-time regional data to the regional analysis module; the regional analysis module analyzes the regional conditions of the area where the battery energy storage system is located, obtains the regional configuration value of the area where the battery energy storage system is located, and sends it to the server, and the server sends the regional configuration value of the area where the battery energy storage system is located to the configuration setting module; the environmental analysis module analyzes the environmental conditions of the area where the battery energy storage system is located, and obtains the environmental configuration value of the area where the battery energy storage system is located, and feeds it back to the server, and the server sends the environmental configuration value of the area where the battery energy storage system is located to the configuration setting module; the configuration setting module sets the configuration of the energy storage equipment in the area where the battery energy storage system is located, and feeds back the configuration parameters of the energy storage equipment in the area where the battery energy storage system is located to the server, and the server sends the configuration parameters of the energy storage equipment in the area where the battery energy storage system is located to the server, and the server sends the configuration parameters of the energy storage equipment in the area where the battery energy storage system is located to the configuration setting module. The configuration parameters are sent to the configuration optimization module; the data acquisition module also collects the current configuration data of the area where the battery energy storage system is located, and sends the current configuration data to the configuration optimization module. The configuration optimization module optimizes the configuration of the energy storage equipment in the area where the battery energy storage system is located, and generates an equipment optimization signal or a spacing optimization signal to feed back to the server. The server sends the equipment optimization signal or the spacing optimization signal to the management terminal, and the management terminal adjusts the energy storage equipment in the area where the battery energy storage system is located according to the signal; the data acquisition module collects the real-time equipment data of the energy storage equipment in the battery energy storage system, and sends the real-time equipment data to the server, and the server sends the real-time equipment data to the equipment analysis module; the equipment analysis module analyzes the equipment status of the energy storage equipment in the battery energy storage system, and generates an equipment maintenance signal, an equipment normal signal or an equipment abnormal signal to feed back to the server. The server sends the equipment maintenance signal, the equipment normal signal or the equipment abnormal signal to the management terminal, and the management terminal maintains the energy storage equipment in the area where the battery energy storage system is located according to the signal.

[0122] In addition, the logic instructions in the above-mentioned memory can be implemented in the form of software functional units and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0123] On the other hand, the present application also provides a computer program product, which includes a computer program stored on a computer-readable storage medium, and the computer program includes program instructions. When the program instructions are executed by a computer, the computer can execute the automatic mapping method of the power grid topology of important power supply guarantee places provided by the above methods, and the method includes: a data acquisition module collects real-time regional data of the area where the battery energy storage system is located, and sends the real-time regional data to a server, and the server sends the real-time regional data to a regional analysis module; the regional analysis module analyzes the regional conditions of the area where the battery energy storage system is located, obtains the regional configuration value of the area where the battery energy storage system is located, and sends it to the server, and the server sends the regional configuration value of the area where the battery energy storage system is located to the configuration setting module; the environmental analysis module analyzes the environmental conditions of the area where the battery energy storage system is located, and obtains the environmental configuration value of the area where the battery energy storage system is located and feeds it back to the server, and the server sends the environmental configuration value of the area where the battery energy storage system is located to the configuration setting module; the configuration setting module sets the configuration of the energy storage equipment in the area where the battery energy storage system is located, and sets the configuration of the area where the battery energy storage system is located. The configuration parameters of the energy storage equipment in the domain are fed back to the server, and the server sends the configuration parameters of the energy storage equipment in the area where the battery energy storage system is located to the configuration optimization module; the data acquisition module also collects the current configuration data of the area where the battery energy storage system is located, and sends the current configuration data to the configuration optimization module, the configuration optimization module optimizes the configuration of the energy storage equipment in the area where the battery energy storage system is located, and generates an equipment optimization signal or a spacing optimization signal to feed back to the server, the server sends the equipment optimization signal or the spacing optimization signal to the management terminal, and the management terminal adjusts the energy storage equipment in the area where the battery energy storage system is located according to the signal; the data acquisition module collects the real-time equipment data of the energy storage equipment in the battery energy storage system, and sends the real-time equipment data to the server, and the server sends the real-time equipment data to the equipment analysis module; the equipment analysis module analyzes the equipment status of the energy storage equipment in the battery energy storage system, and generates an equipment maintenance signal, an equipment normal signal or an equipment abnormal signal to feed back to the server, the server sends the equipment maintenance signal, the equipment normal signal or the equipment abnormal signal to the management terminal, and the management terminal maintains the energy storage equipment in the area where the battery energy storage system is located according to the signal.

[0124] On the other hand, the present application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute the above-mentioned methods for automatically mapping the power grid topology of important power supply guarantee places, the method comprising: a data acquisition module acquires real-time regional data of the area where the battery energy storage system is located, and sends the real-time regional data to a server, and the server sends the real-time regional data to a regional analysis module; the regional analysis module analyzes the regional conditions of the area where the battery energy storage system is located, obtains the regional configuration value of the area where the battery energy storage system is located, and sends it to the server, and the server sends the regional configuration value of the area where the battery energy storage system is located to a configuration setting module; the environmental analysis module analyzes the environmental conditions of the area where the battery energy storage system is located, obtains the environmental configuration value of the area where the battery energy storage system is located, and feeds it back to the server, and the server sends the environmental configuration value of the area where the battery energy storage system is located to the configuration setting module; the configuration setting module sets the configuration of the energy storage equipment in the area where the battery energy storage system is located, and feeds back the configuration parameters of the energy storage equipment in the area where the battery energy storage system is located to the server, and the server The server sends the configuration parameters of the energy storage equipment in the area where the battery energy storage system is located to the configuration optimization module; the data acquisition module also collects the current configuration data of the area where the battery energy storage system is located, and sends the current configuration data to the configuration optimization module, the configuration optimization module optimizes the configuration of the energy storage equipment in the area where the battery energy storage system is located, and generates an equipment optimization signal or a spacing optimization signal to feed back to the server, the server sends the equipment optimization signal or the spacing optimization signal to the management terminal, and the management terminal adjusts the energy storage equipment in the area where the battery energy storage system is located according to the signal; the data acquisition module collects the real-time equipment data of the energy storage equipment in the battery energy storage system, and sends the real-time equipment data to the server, and the server sends the real-time equipment data to the equipment analysis module; the equipment analysis module analyzes the equipment status of the energy storage equipment in the battery energy storage system, generates an equipment maintenance signal, an equipment normal signal or an equipment abnormal signal to feed back to the server, the server sends the equipment maintenance signal, the equipment normal signal or the equipment abnormal signal to the management terminal, and the management terminal maintains the energy storage equipment in the area where the battery energy storage system is located according to the signal.

[0125] The device embodiments described above are merely illustrative, 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. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0126] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially 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 ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0127] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A configuration optimization method for a BMS battery energy storage system, characterized in that: The specific method is as follows: Step S10, collecting real-time regional data of the area where the battery energy storage system is located; the real-time regional data includes the area of ​​the area where the battery energy storage system is located, the number of renewable energy sources in the area where the battery energy storage system is located, and the excess energy of each renewable energy source; Step S20, analyzing the regional situation of the area where the battery energy storage system is located, and obtaining the regional configuration value of the area where the battery energy storage system is located; The analysis process of step S20 is specifically as follows: The area where the battery energy storage system is located is marked as i, where i is the number of the area where the battery energy storage system is located; The area of ​​the region where the battery energy storage system is located, and the area is marked as QMi; Obtain the amount of renewable energy in the area where the battery energy storage system is located, and record the amount of renewable energy as the renewable energy number NSi; Then, the excess energy of each renewable energy in the area where the battery energy storage system is located is obtained, and the excess energy of each renewable energy is added together to obtain the total excess energy NLi of renewable energy in the area where the battery energy storage system is located; The regional configuration value QPi of the area where the battery energy storage system is located is calculated by the formula. The specific formula is as follows: QPi=QMi×a1+NSi×a2+NLi×a3; where a1, a2 and a3 are weight coefficients with fixed values; Step S30, analyzing the environmental conditions of the area where the battery energy storage system is located in combination with historical environmental data, and obtaining the environmental configuration value of the area where the battery energy storage system is located, wherein the historical environmental data includes the number of extreme weather events in the area where the battery energy storage system is located, the number of power outages in the area where the battery energy storage system is located, and the duration of each power outage; The analysis process in step S30 is specifically as follows: Obtain the number of extreme weather events in the area where the battery energy storage system is located, and mark the number of occurrences as FCi; Then, the number of power outages in the area where the battery energy storage system is located and the duration of each power outage are obtained, and the duration of each power outage is added and divided by the number of power outages to obtain the average duration of power outages JTi in the area where the battery energy storage system is located; The environmental configuration value HPi of the area where the battery energy storage system is located is calculated by the formula HPi=FCi×b1+JTi×b2; where b1 and b2 are weight coefficients with fixed values; Step S40, setting the configuration of the energy storage device in the area where the battery energy storage system is located in combination with the regional configuration value and the environmental configuration value, and obtaining the configuration parameters of the energy storage device in the area where the battery energy storage system is located; Step S50, collecting current configuration data of the area where the battery energy storage system is located, optimizing the configuration of the energy storage equipment in the area where the battery energy storage system is located according to the configuration parameters, generating a device optimization signal or a spacing optimization signal, and adjusting the energy storage equipment in the area where the battery energy storage system is located according to the signal; the current configuration data is the real-time number of energy storage equipment in the area where the battery energy storage system is located and the real-time spacing between the energy storage equipment; The setting process in step S50 is specifically as follows: Obtain the regional configuration value QPi and the environmental configuration value HPi of the area where the battery energy storage system is located; The equipment configuration value SPi of the area where the battery energy storage system is located is calculated by the formula SPi=(QPi*c1+HPi*c1) / (c1+c2); where c1 and c2 are both fixed proportional coefficients, and the values ​​of c1 and c2 are both greater than zero; Acquire a device configuration threshold stored in the storage module, and compare the device configuration value with the device configuration threshold; the device configuration threshold includes a first device configuration threshold and a second device configuration threshold; If the device configuration value is less than the first device configuration threshold, the configuration level of the energy storage device in the area where the battery energy storage system is located is the third configuration level; If the device configuration value is greater than or equal to the first device configuration threshold and less than the second device configuration threshold, the configuration level of the energy storage device in the area where the battery energy storage system is located is the second configuration level; If the device configuration value is greater than or equal to the second device configuration threshold, the configuration level of the energy storage device in the area where the battery energy storage system is located is the first configuration level; wherein the level of the first configuration level is higher than the level of the second configuration level, and the level of the second configuration level is higher than the level of the third configuration level; The configuration parameters of the energy storage equipment in the area where the battery energy storage system is located are set according to the configuration level. The configuration process of the configuration parameters is as follows: If it is the first configuration level, the preset number of energy storage devices in the area where the battery energy storage system is located is X3, and the configuration spacing interval of the energy storage devices is [Y1, Y2); If it is the second configuration level, the preset number of energy storage devices in the area where the battery energy storage system is located is X2, and the configuration spacing interval of the energy storage devices is [Y2, Y3); If it is the third configuration level, the preset number of energy storage devices in the area where the battery energy storage system is located is X1, and the configuration spacing interval of the energy storage devices is [Y3, Y4]; among which, X1<X2<X3, Y1<Y2<Y3<Y4.

2. A configuration optimization method for a BMS battery energy storage system according to claim 1, characterized in that: The optimization process in step S50 is specifically as follows: Obtain the real-time number of energy storage devices in the area where the battery energy storage system is located; If the real-time number of devices is not equal to the preset number of devices, a device optimization signal is generated; If the real-time number of devices is equal to the preset number of devices, the real-time spacing of the energy storage devices in the area where the battery energy storage system is located is obtained; If the real-time spacing is within the configured spacing range, no operation is performed; If the real-time spacing does not belong to the configured spacing interval, a spacing optimization signal is generated.

3. A computer device, characterized in that: The computer device comprises: A memory storing a computer program; A processor is communicatively connected to the memory, and when the computer program is executed by the processor, the configuration optimization method for the BMS battery energy storage system described in any one of claims 1-2 is implemented.

4. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the configuration optimization method for the BMS battery energy storage system described in any one of claims 1 to 2 is implemented.

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