Movable energy storage regulation and control device

Abstract

The invention discloses a mobile energy storage regulation and control device which comprises a battery module, a battery management system, an energy storage bidirectional inverter, an environment adaptability system and an energy management system. Wherein the battery management system monitors and manages the state and performance of the battery module. The use of the energy storage bidirectional inverter is helpful to orderly access the electric energy generated by the photovoltaic power generation system to the power distribution network, and ensures the stable operation of the power grid at the same time. The environment-adaptive system can maintain the appropriate temperature of the equipment compartment and the battery compartment. Besides, the energy management system can reasonably allocate energy storage and release of the energy storage system according to real-time data acquisition and analysis so as to cope with volatility and intermittency of the photovoltaic power generation system. The mobile energy storage regulation and control device provides a flexible and reliable solution for distributed photovoltaic access to the power distribution network, effectively solves a series of challenges and problems caused by distributed photovoltaic access to the power distribution network, and is expected to promote wider application of renewable energy in a power system.

Description

Technical Field

[0001] The present invention relates to the technical field of power distribution network, and in particular to a mobile energy storage control device. Background Art

[0002] Distributed photovoltaic access to the distribution network brings a series of challenges and problems. These problems include but are not limited to: Increased uncertainty on both the source and load sides: The access of a large number of distributed photovoltaics makes the supply and demand relationship of the power grid more complex and difficult to predict.

[0003] The complexity of power flow distribution increases: some substations / lines are unable to effectively absorb the electricity generated by distributed photovoltaics, resulting in reverse flow.

[0004] Impact on distribution network voltage stability: The volatility and randomness of renewable energy output require the power grid to reserve more spare capacity to maintain supply and demand balance.

[0005] Reactive voltage control problem: Large-scale grid connection of new energy sources may cause the local grid voltage to rise or even exceed the voltage limit. Summary of the invention

[0006] Based on this, it is necessary to provide a mobile energy storage and control device to solve a series of challenges and problems brought about by the access of distributed photovoltaic power generation to the distribution network.

[0007] A mobile energy storage control device, comprising: a battery module, a battery management system, an energy storage bidirectional inverter, an environmental adaptability system and an energy management system; The battery module is used to store energy using a lithium iron phosphate battery pack as an energy storage element, or to provide power output; The battery management system is used to monitor and manage the status and performance of the battery module; The energy storage bidirectional inverter is used to feed the battery energy of the battery module back to the power grid in the inversion state, or to charge the battery module in the rectification state, and to adjust the active power output according to the instructions of the energy management system; The environmental adaptability system is used to maintain the temperature of the internal equipment compartment and battery compartment, as well as the external surface.

[0008] The energy management system is used for energy management, real-time data collection, database management, customized report printing, event and log management, and data forwarding management.

[0009] In one embodiment, the battery management system is specifically used for: Real-time measurement of the voltage and temperature of the single battery, and the voltage and current at both ends of the battery module; According to the needs of battery expansion in energy storage power stations, increase the capacity configuration of modules; When the battery module encounters overvoltage, undervoltage, overcurrent, overtemperature, or leakage during operation, the battery circuit is cut off and the fault point is isolated; The operating temperature of the battery module is monitored, and when the operating temperature is greater than or equal to a set protection value, the fan is started to adjust the temperature; when the operating temperature is greater than or equal to a set danger value, the battery circuit is cut off.

[0010] In one embodiment, the energy storage bidirectional inverter is further specifically used for: Adjust the phase angle between output voltage and current to achieve four-quadrant operation; Provide DC side protection, including over / under voltage protection, short circuit protection, over current protection, bus over voltage protection and bus under voltage protection; Provide AC side protection functions, including over / under voltage protection, overcurrent protection, frequency overlimit protection, surge overvoltage protection and phase sequence error protection; Provides general protection functions, including ambient over-temperature protection, power module over-temperature protection, grid voltage monitoring, grid frequency monitoring and lightning protection.

[0011] In one embodiment, the environmental adaptability system is specifically used for: Air conditioning is used to maintain the temperature of the battery compartment, and a pipeless heptafluoropropane automatic fire extinguishing system is configured as a fire protection measure for the battery compartment; Forced air cooling is used to maintain the temperature of the equipment compartment, and conventional dry powder fire extinguishers are provided as fire-fighting measures in the equipment compartment; Vacuum insulation panels are set up inside for thermal insulation; An adjustable thermal insulation sleeve is provided on the exterior surface.

[0012] In one embodiment, the energy management system is further specifically used for: Short-term power forecasting for medium and low voltage distributed photovoltaic single stations and sub-regions based on machine learning algorithms; The convolutional neural network algorithm is used to predict the ultra-short-term irradiance due to cloud cover, so as to realize the ultra-short-term power prediction of photovoltaic power in typical substations.

[0013] In one embodiment, the energy management system is further specifically used for: With the goal of safe and stable operation of the power grid, considering the penetration rate of medium and low voltage distributed power sources and the current load of lines / distribution transformers, the accessible capacity of 10kV lines / distribution transformers in the distribution network is studied; Taking into account the differences in distributed photovoltaic output characteristics in summer and winter, the maximum output time and power load cycle characteristics and network topology, and following the principle of layered zoning, the rationality of access mode, voltage level and capacity are checked and the grid carrying capacity is evaluated.

[0014] In one embodiment, the energy management system is further specifically used for: The day-ahead load forecasting of rural power grid is conducted using long short-term memory network method.

[0015] The present invention provides a mobile energy storage control device, including a battery module, a battery management system, an energy storage bidirectional inverter, an environmental adaptability system and an energy management system. Among them, the battery management system monitors and manages the status and performance of the battery module. The use of the energy storage bidirectional inverter helps to connect the electric energy generated by the photovoltaic power generation system to the distribution network in an orderly manner, while ensuring the stable operation of the power grid. The environmental adaptability system can maintain the appropriate temperature of the equipment compartment and the battery compartment to ensure the normal operation of the energy storage system under various environmental conditions. In addition, the energy management system can reasonably allocate the energy storage and release of the energy storage system based on real-time data collection and analysis to cope with the volatility and intermittency of the photovoltaic power generation system. Overall, this mobile energy storage control device brings a flexible and reliable solution to the access of distributed photovoltaics to the distribution network, effectively solves a series of challenges and problems brought about by the access of distributed photovoltaics to the distribution network, and is expected to promote the wider application of renewable energy in the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] in: Figure 1 It is a structural schematic diagram of a mobile energy storage control device. DETAILED DESCRIPTION

[0018] 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.

[0019] The terms "first", "second", etc. in the specification and claims of this application and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices.

[0020] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0021] like Figure 1 As shown, Figure 1 1 is a schematic diagram of the structure of a mobile energy storage control device in an embodiment. The mobile energy storage control device in this embodiment includes a battery module 100, a battery management system 200, an energy storage bidirectional inverter 300, an environmental adaptability system 400 and an energy management system 500. Among them: The battery module 100 is used to store energy or provide power output by using a lithium iron phosphate battery pack as an energy storage element.

[0022] Specifically, the voltage level of this battery module 100 is 0.4kV, the rated capacity is 62Ah, the rated voltage is 3.2V, and the rated energy is 198.4Wh. It uses the CAN bus to communicate with the BMS system. The battery pack power harness meets the requirements of QC / T 417.1-2001, and its flame retardant performance meets the requirements of GB / T 19666-2005. In the battery module 100, various electrical connection points must maintain sufficient preload and take appropriate measures to prevent loosening. All connection points without basic insulation have been strengthened and meet the requirements of GB 4208-2008. After charging and discharging, the pole does not melt and its appearance will not be abnormal. In addition, the wiring board and terminal connector between the battery module 100 are made of materials with excellent conductive properties.

[0023] This battery module 100 has a communication control interface with the energy storage bidirectional inverter 300PCS to achieve coordinated operation and ensure the efficient operation and safety of the energy storage unit. The electrical clearance, creepage distance, insulation resistance and dielectric strength in the battery module 100 must comply with GB / T 19826-2005 "General Technical Conditions and Safety Requirements for DC Power Supply Equipment in Power Engineering". In addition, during the charging and discharging process, the battery module 100 will not catch fire or explode even if it encounters various unexpected factors such as open flames, impacts, lightning, short circuits, overcharging or over-discharging.

[0024] The battery management system 200 is used to monitor and manage the status and performance of the battery module 100 .

[0025] In a specific embodiment, the battery management system 200 is specifically used to measure the voltage and temperature of the single battery, and the voltage and current at both ends of the battery module 100 in real time. That is, the battery module 100 is a unit composed of multiple battery cells, and the system can immediately obtain the voltage and temperature data of each individual battery in order to monitor their status and make necessary adjustments, and can also monitor the power status of the entire module.

[0026] Furthermore, the battery management system 200 is also specifically used to increase the capacity configuration of the module according to the needs of battery expansion of the energy storage power station. The system adopts a modular design concept, and can flexibly increase the BMU module configuration to meet the upgrade and expansion requirements according to the needs of battery growth and expansion of the energy storage power station.

[0027] Furthermore, the battery management system 200 is also specifically used to cut off the battery circuit and isolate the fault point when the battery module 100 encounters overvoltage, undervoltage, overcurrent, overtemperature, and leakage during operation. The system has three levels of protection and a high-voltage box. For abnormal faults such as severe overvoltage, undervoltage, overcurrent (short circuit), overtemperature, and leakage (insulation) of the battery that may occur during operation, the high-voltage control unit can quickly cut off the battery circuit and isolate the fault point to ensure safe and reliable operation of the system.

[0028] Furthermore, the battery management system 200 is also specifically used to monitor the operating temperature of the battery module 100. When the operating temperature is greater than or equal to the set protection value, the fan is started to adjust the temperature; when the operating temperature is greater than or equal to the set danger value, the battery circuit is cut off.

[0029] The energy storage bidirectional inverter 300 is used to feed the battery energy of the battery module 100 back to the power grid in the inversion state, or to charge the battery module 100 in the rectification state, and to adjust the active power output according to the instructions of the energy management system 500.

[0030] Specifically, when the energy storage system needs to provide electrical energy to the grid, the energy storage bidirectional inverter 300 will convert the DC power stored in the battery into AC power and transmit it to the grid. This process is similar to sending the battery's energy "reversely" into the grid, so it is called the inversion state. Conversely, when the grid needs to charge the energy storage system, the energy storage bidirectional inverter 300 will convert the AC power provided by the grid into DC power and store it in the battery. This process is similar to "rectifying" the energy of the grid and storing it in the battery, so it is called the rectification state. The energy management system 500 sends instructions to the inverter to adjust its output power according to the current system needs and the state of the grid. This means that the inverter can flexibly adjust the direction and size of the energy flow according to the real-time needs of the system to achieve optimized control of the power system.

[0031] In a specific embodiment, the energy storage bidirectional inverter 300 is also specifically used to adjust the phase angle between the output voltage and the current to achieve four-quadrant operation. In an AC circuit, the waveforms of the voltage and current are sinusoidal waves, and there is a certain phase difference between them. The phase angle represents the offset angle of the voltage waveform relative to the current waveform. By adjusting the phase angle between the output voltage and the current, the power factor of the circuit can be changed, thereby achieving control of the active power and reactive power of the power system. For example, in the Q1 quadrant, the inverter will transmit the energy stored in the energy storage system to the power grid in the form of forward active power; in the Q2 quadrant, the inverter will store the energy of the power grid in the form of reverse active power in the energy storage system; in the Q3 and Q4 quadrants, the inverter can store or release the energy provided by the power grid as needed to achieve regulation and support for the power grid.

[0032] Furthermore, the energy storage bidirectional inverter 300 is also specifically used to provide DC side protection, including over / under voltage protection, short circuit protection, overcurrent protection, bus overvoltage protection and bus undervoltage protection.

[0033] Furthermore, the energy storage bidirectional inverter 300 is also specifically used to provide AC side protection functions, including over / under voltage protection, overcurrent protection, frequency overlimit protection, surge overvoltage protection and phase sequence error protection.

[0034] Furthermore, the energy storage bidirectional inverter 300 is also specifically used to provide general protection functions, including environmental over-temperature protection, power module over-temperature protection, grid voltage monitoring, grid frequency monitoring and lightning protection.

[0035] Environmental adaptability system 400 is used to maintain the temperature of internal equipment and battery compartments, as well as external surfaces.

[0036] In a specific embodiment, the environmental adaptability system 400 is specifically used to maintain the temperature of the battery compartment by air conditioning and refrigeration, and is configured with a pipeless HFC-227ea automatic fire extinguishing system as a fire-fighting measure for the battery compartment. Because the battery compartment is a potential fire hazard area, the battery may generate heat during operation, thereby causing a fire. In order to deal with this risk, the environmental adaptability system 400 will use air conditioning and refrigeration technology to maintain the temperature of the battery compartment within a safe range, and at the same time configure a HFC-227ea automatic fire extinguishing system as a fire-fighting measure for the battery compartment. HFC-227ea is a colorless, odorless, non-toxic and highly efficient fire extinguishing agent that can quickly extinguish flames without causing damage to batteries or other equipment. When the system detects a fire threat, the automatic fire extinguishing system will immediately start and release HFC-227ea fire extinguishing agent to prevent the spread of the fire and protect the safety of equipment and personnel.

[0037] Furthermore, the environmental adaptability system 400 is specifically used to maintain the temperature of the equipment compartment by using forced air cooling, and is equipped with conventional dry powder fire extinguishers as fire-fighting measures in the equipment compartment. This is because the temperature in the equipment compartment is crucial to the operation and performance of the equipment. The environmental adaptability system 400 adopts forced air cooling technology, and introduces cold air into the equipment compartment by installing fans or other cooling devices, thereby reducing the temperature in the compartment. At the same time, the environmental adaptability system 400 is also equipped with conventional dry powder fire extinguishers as fire-fighting measures in the equipment compartment. Conventional dry powder fire extinguishers are a common fire-fighting equipment that can quickly extinguish flames, effectively control the spread of fire, and protect equipment and personnel from the effects of fire.

[0038] Furthermore, the environmental adaptability system 400 is specifically used to set a vacuum insulation panel inside for heat preservation, and set an adjustable insulation sleeve on the external surface. The vacuum insulation panel is a heat-insulating material with good heat-insulating properties, which can effectively prevent the conduction and propagation of heat, thereby maintaining the temperature inside the equipment cabin stable. The adjustable insulation sleeve is usually made of a material with good heat-insulating properties, such as an insulating material or a heat-insulating material. By adjusting the thickness of the insulation sleeve or using special insulation materials, the temperature of the external surface of the equipment cabin can be effectively controlled to ensure the safe operation of the equipment under various environmental conditions.

[0039] The energy management system 500 is used for energy management, real-time data collection, database management, customized report printing, event and log management, and data forwarding management.

[0040] Specifically, energy management is one of the core functions of the energy management system 500. It monitors and regulates the flow and utilization of energy in the energy storage system to ensure that the system can operate efficiently and stably under different working conditions. The energy management system 500 can intelligently control the charging and discharging process of the energy storage system according to energy demand and supply conditions to maximize energy utilization efficiency.

[0041] Furthermore, the real-time data acquisition module of the energy management system 500 mainly realizes the data channel, including information upload, and supports multiple industry and international standard protocols, such as Modbus-TCP protocol, Modbus-RTU protocol, etc. The data types include: analog quantity telemetry YC, switch quantity telesignaling YX, environmental data and other related data.

[0042] Furthermore, the energy management system 500 will store the collected real-time data in a database and perform effective management and maintenance. Through database management, historical data can be easily queried and analyzed, providing strong support for the operation and optimization of the system.

[0043] Furthermore, the energy management system 500 can generate customized reports according to user needs, showing the system operation status, energy utilization efficiency, fault information, etc. These reports can help users fully understand the system operation status and make decisions and management.

[0044] Furthermore, the energy management system 500 will record the events and fault information that occur during the operation of the system and perform log management. These events and logs can help operation and maintenance personnel analyze the causes of problems and perform fault handling and maintenance in a timely manner.

[0045] Furthermore, the energy management system 500 can also manage the forwarding and transmission of data to ensure smooth data exchange between the system and other systems or platforms. This helps to achieve the integration and interconnection of the energy storage system with external systems and improve the overall performance and functionality of the system.

[0046] In a specific embodiment, the energy management system 500 is also specifically used to: perform short-term power forecasting for medium and low voltage distributed photovoltaic single stations and sub-areas based on machine learning algorithms; use convolutional neural network algorithms to perform ultra-short-term irradiance forecasting for cloud cover, so as to achieve ultra-short-term power forecasting for photovoltaics in typical substations.

[0047] Specifically, in a photovoltaic power generation system, the power generation may change due to external environmental factors such as weather. The energy management system 500 uses machine learning algorithms, such as regression analysis and neural networks, to perform short-term power forecasts on medium and low voltage distributed photovoltaic single stations and sub-areas. The machine learning algorithm can predict the photovoltaic power generation in the future based on historical data and current environmental conditions, helping the system to optimize energy utilization and scheduling. In this way, the system can adjust the charging and discharging strategy of the energy storage system based on the prediction results to achieve more efficient energy utilization and management.

[0048] The power generation of photovoltaic power generation systems is affected by cloud obstruction, so accurately predicting the movement and obstruction of clouds is crucial to the power prediction of the system. The energy management system 500 uses advanced algorithms such as convolutional neural networks to perform ultra-short-term irradiance prediction for cloud obstruction. By learning and analyzing cloud images, convolutional neural networks can accurately predict cloud movement and obstruction in the next few minutes, thereby achieving ultra-short-term power prediction for photovoltaic power generation in typical areas. This prediction capability can help the system more accurately predict changes in photovoltaic power generation in the short term in the future, thereby more effectively adjusting the charging and discharging strategies of the energy storage system and improving the energy utilization efficiency and stability of the system.

[0049] In a specific embodiment, the energy management system 500 is also specifically used to: aim at safe and stable operation of the power grid, consider the penetration rate of medium and low voltage distributed power sources and the current load of lines / distribution transformers, and study the accessible capacity of 10kV lines / distribution transformers in the distribution network; consider the differences in distributed photovoltaic output characteristics in summer and winter, the maximum output time and the cycle characteristics of power load and the network topology, follow the principle of hierarchical zoning, and perform rationality verification of access modes, voltage levels and capacities and evaluate the power grid's carrying capacity.

[0050] Specifically, Distributed Energy Resources (DERs) refer to small energy generation and storage systems distributed at various nodes in the power grid, such as photovoltaic power plants, wind power generation, etc. The energy management system 500 takes into account the penetration rate of medium and low voltage distributed power sources, that is, their popularity in the power grid. By analyzing the penetration rate of distributed power sources and the load conditions of lines and distribution transformers, the system can evaluate the load conditions and stability of the power grid, and then determine the accessible capacity of the 10kV lines / distribution transformers of the distribution network.

[0051] There are differences in the output characteristics of photovoltaic power generation in summer and winter, mainly due to changes in sunshine hours and solar altitude angles. Photovoltaic power generation output is higher in summer and lower in winter. The energy management system 500 takes these seasonal differences into account and determines the maximum output time of photovoltaic power generation. This helps to reasonably allocate power resources during peak load periods of the power grid to ensure stable operation of the power grid.

[0052] The energy management system 500 also considers the periodic characteristics of the power load, including day, night, weekdays and holidays. At the same time, the system also analyzes the network topology of the power grid, including factors such as line connection and node distribution. This information helps the system to reasonably arrange the access mode, voltage level and capacity of distributed power sources according to the actual load demand and power grid structure to ensure the carrying capacity and stability of the power grid.

[0053] In a specific embodiment, the energy management system 500 is further specifically used to: predict the day-ahead load of the rural power grid using a long short-term memory network method.

[0054] LSTM is a commonly used recurrent neural network (RNN) architecture specifically used to process and predict time series data. Compared with traditional RNN, LSTM has stronger memory capacity and can better capture long-term dependencies in time series data. In the energy management system 500, LSTM can predict the future load conditions of rural power grids by learning the patterns and trends of historical load data. By analyzing and learning time series data, LSTM can discover the laws and trends of load changes, thereby accurately predicting future load conditions.

[0055] Day-ahead load forecasting refers to forecasting the load of a power system within a certain period of time in the future. This forecast is usually used for operation planning and dispatching of power systems, helping power system operators to reasonably arrange power production and supply to meet future load demands. The energy management system 500 uses the LSTM method to forecast the day-ahead load of rural power grids, which can help power system operators to more accurately understand the changing trend of future loads, and thus formulate corresponding dispatching strategies and operation plans.

[0056] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0057] The above embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several modifications and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A mobile energy storage control device, characterized in that: The mobile energy storage control device includes: a battery module, a battery management system, an energy storage bidirectional inverter, an environmental adaptability system and an energy management system; The battery module is used to store energy using a lithium iron phosphate battery pack as an energy storage element, or to provide power output; The battery management system is used to monitor and manage the status and performance of the battery module; The energy storage bidirectional inverter is used to feed the battery energy of the battery module back to the power grid in the inversion state, or to charge the battery module in the rectification state, and to adjust the active power output according to the instructions of the energy management system; The environmental adaptability system is used to maintain the temperature of the internal equipment compartment and battery compartment, and the external surface; The energy management system is used for energy management, real-time data collection, database management, customized report printing, event and log management, and data forwarding management.

2. The mobile energy storage control device according to claim 1, characterized in that: The battery management system is specifically used for: Real-time measurement of the voltage and temperature of the single battery, and the voltage and current at both ends of the battery module; According to the needs of battery expansion in energy storage power stations, increase the capacity configuration of modules; When the battery module encounters overvoltage, undervoltage, overcurrent, overtemperature, or leakage during operation, the battery circuit is cut off and the fault point is isolated; Monitoring the operating temperature of the battery module, and when the operating temperature is greater than or equal to a set protection value, starting the fan to adjust the temperature; When the operating temperature is greater than or equal to a set dangerous value, the battery circuit is cut off.

3. The mobile energy storage control device according to claim 1, characterized in that: The energy storage bidirectional inverter is also specifically used for: Adjust the phase angle between output voltage and current to achieve four-quadrant operation; Provide DC side protection, including over / under voltage protection, short circuit protection, over current protection, bus over voltage protection and bus under voltage protection; Provide AC side protection functions, including over / under voltage protection, overcurrent protection, frequency overlimit protection, surge overvoltage protection and phase sequence error protection; Provides general protection functions, including ambient over-temperature protection, power module over-temperature protection, grid voltage monitoring, grid frequency monitoring and lightning protection.

4. The mobile energy storage control device according to claim 1, characterized in that: The environmental adaptability system is specifically used for: Air conditioning is used to maintain the temperature of the battery compartment, and a pipeless heptafluoropropane automatic fire extinguishing system is configured as a fire protection measure for the battery compartment; Forced air cooling is used to maintain the temperature of the equipment compartment, and conventional dry powder fire extinguishers are provided as fire-fighting measures in the equipment compartment; Vacuum insulation panels are set up inside for thermal insulation; An adjustable thermal insulation sleeve is provided on the exterior surface.

5. The mobile energy storage control device according to claim 1, characterized in that: The energy management system is also specifically used for: Short-term power forecasting for medium and low voltage distributed photovoltaic single stations and sub-regions based on machine learning algorithms; The convolutional neural network algorithm is used to predict the ultra-short-term irradiance due to cloud cover, so as to realize the ultra-short-term power prediction of photovoltaic power in typical substations.

6. The mobile energy storage control device according to claim 1, characterized in that: The energy management system is also specifically used for: With the goal of safe and stable operation of the power grid, considering the penetration rate of medium and low voltage distributed power sources and the current load of lines / distribution transformers, the accessible capacity of 10kV lines / distribution transformers in the distribution network is studied; Taking into account the differences in distributed photovoltaic output characteristics in summer and winter, the maximum output time and power load cycle characteristics and network topology, and following the principle of layered zoning, the rationality of access mode, voltage level and capacity are checked and the grid carrying capacity is evaluated.

7. The mobile energy storage control device according to claim 1, characterized in that: The energy management system is also specifically used for: The day-ahead load forecasting of rural power grid is conducted using long short-term memory network method.

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