Operation management system of mobile energy storage device based on power grid emergency balance

Abstract

The invention relates to the technical field of power grids, in particular to an operation management system of a mobile energy storage device based on power grid emergency balance, which comprises a data collection module used for collecting voltage values of power supply power nodes; the data analysis module is used for analyzing whether the power supply power grid is abnormal or not based on the collected power grid voltage value; the mobile energy storage module judges whether to be started or not based on the analysis result of the power grid voltage value, and if the power grid voltage value is abnormal, an emergency mobile energy storage device is started; the path planning module is used for planning a path with the minimum cost from the position of the energy storage equipment to the position of the charging power grid when the mobile energy storage module receives the starting signal; the mobile energy storage module comprises a plurality of battery modules, and the charge adjusting module is used for controlling charge balance among the plurality of battery modules.

Description

Technical Field

[0001] The present invention relates to the technical field of power grids, and in particular to an operation management system of a mobile energy storage device based on power grid emergency balancing. Background Art

[0002] As an emerging structure, mobile energy storage system has shown broad application prospects in emergency scenarios and rapid response scenarios. With the promotion of the "dual carbon" policy, the energy storage industry has developed rapidly. Mobile energy storage system has become one of the key technologies for emergency balance of power grid due to its intelligent and flexible control characteristics.

[0003] In the case of extreme disasters causing large-scale power outages in the distribution network and in unstable power grids, it is particularly important to use multiple distributed resources to coordinate the restoration of important loads. Distribution network resilience, that is, the ability of the distribution system to resist, adapt to and restore power supply to disasters, has received widespread attention; mobile energy storage devices play an important role in improving distribution network resilience due to their flexibility and rapid response capabilities.

[0004] Today's mobile energy storage devices are unable to flexibly select the path with the lowest cost based on the state and location of the power grid when dealing with instability in the power grid, which is not conducive to emergency response of the power grid.

[0005] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0006] The purpose of the present invention is to provide an operation management system for a mobile energy storage device based on emergency balancing of a power grid to solve the above-mentioned technical defects.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] The operation management system of the mobile energy storage device based on power grid emergency balance includes a data collection module: the data collection module is used to collect the voltage value of the power supply node, and the voltage value of the power supply node includes the instantaneous voltage value of the power grid and the rated voltage value of the power grid;

[0009] Data analysis module: The data analysis module analyzes whether the power supply grid is abnormal based on the collected grid voltage value;

[0010] Mobile energy storage module: The mobile energy storage module determines whether to start based on the analysis result of the grid voltage value. If the grid voltage value is abnormal, the emergency mobile energy storage device is started;

[0011] Path planning module: The path planning module plans a path with the minimum cost from the location of the energy storage device to the location of the charging power grid when the mobile energy storage module receives a start signal;

[0012] Charge regulation module: The mobile energy storage module includes multiple battery modules, and the charge regulation module is used to control the charge balance between the multiple battery modules.

[0013] Preferably, the data analysis module analyzes whether the power grid is abnormal based on the collected power grid voltage value in detail as follows:

[0014] S1, obtain the instantaneous voltage value V2 of the power grid and the rated voltage value V1 of the power grid through the data collection module, calculate the difference between the instantaneous voltage value V2 of the power grid and the rated voltage value V1 of the power grid, and obtain the voltage fluctuation value V p ;

[0015] S2. If the voltage fluctuation value is greater than or equal to the preset transient threshold, it indicates that the power grid has an abnormal situation and requires emergency response; if the voltage fluctuation value is less than the preset transient threshold, the power grid is operating normally;

[0016] S3, when the voltage fluctuates for the first time and an emergency response is required, the time at this moment is marked as T1, and a time threshold from when the voltage fluctuates to when the normal voltage is restored is pre-set. If the grid does not recover to the normal voltage level within the recovery time threshold, that is, it does not recover to the rated voltage value V1 of the grid, the mobile energy storage module outputs a start signal to provide temporary power support;

[0017] Dynamic voltage transient refers to the rapid change of voltage caused by some unexpected events (such as short circuit, equipment switching, load mutation, etc.) during the normal operation of the power grid. This transient may affect the stability of the power grid and the safety of the connected equipment.

[0018] Obtain the instantaneous voltage value V2 of the power grid and the rated voltage value V1 of the power grid, and calculate the percentage of the voltage transient range; When the power grid is operating normally, voltage fluctuations are usually within a certain range. If the voltage transient exceeds the set threshold, it is considered that the power grid has an abnormal situation and requires emergency response.

[0019] Preferably, the path planning module plans the path with the minimum cost from the energy storage device location to the charging power grid location as follows:

[0020] Step 1: When the mobile energy storage module outputs a start signal, the corresponding power supply node position is marked as f;

[0021] Step 2: Obtain the mobile energy storage devices near the corresponding power supply node f, and establish a location set of nearby mobile energy storage devices, K = <m1,m2,…,m n >

[0022] Step 3: Calculate the location m of the nearby mobile energy storage devicei The time to the corresponding power supply node position f;

[0023] in in, Indicates the mth i The travel time of a mobile energy storage device to reach the power supply node location f, T nn It is the shortest travel time among all paths; by optimizing path selection, the time it takes for mobile energy storage devices to reach the fault site can be reduced, thereby quickly responding to power grid emergencies; scientifically selecting and dispatching emergency mobile energy storage devices to ensure rapid and effective restoration of power supply in emergency situations; ensuring that key facilities and important loads can quickly restore power supply in emergency situations, improving the reliability and stability of the entire power system, and through precise scheduling of energy storage equipment, more effective use of limited mobile energy storage resources can be made, reducing resource waste and improving resource utilization efficiency.

[0024] Preferably, the mth i The specific calculation method of the travel time of a mobile energy storage device to reach the power supply node location f is as follows:

[0025] in, For m i The total travel time of the mobile energy storage device to reach the power supply node location f, For m i f is the total distance traveled by the mobile energy storage device to the power supply node; μ1 is the time from installation to use of the mobile energy storage device, V c Driving speed.

[0026] Preferably, the mth i The total travel time of the mobile energy storage device to the power supply node location f Including: the time of impact of road surroundings and weather environment, congestion time and disaster impact time;

[0027] Right now Among them, ω1, ω2 and ω3 are preset weight coefficients; ω1, ω2 and ω3 can be 0.436, 0.237 and 0.327 respectively.

[0028] Preferably, the mobile energy storage device is further classified based on the rated power of the energy storage device, specifically into: Class I energy storage device, Class II energy storage device and Class III energy storage device;

[0029] Among them, Class I energy storage device: The rated power of Class I energy storage device is (10kW~50kW). The Class I energy storage device is used in small-scale application rescue, outdoor activity power supply and other scenarios. These scenarios have relatively small power requirements. Such equipment usually has the characteristics of rapid deployment and flexible mobility; small-scale application rescue includes providing power support for rescue vehicles and equipment at traffic interruptions or accident sites;

[0030] Class II energy storage device: The rated power of the Class II energy storage device is (100kW~500kW). The Class II energy storage device is used for medium-scale power peak regulation, peak shaving and valley filling, etc. It can be used as a peak regulation means in the power system to balance the grid load fluctuation and improve the grid stability.

[0031] Class III energy storage device: The rated power of the Class III energy storage device is 1000kW and above. The Class III energy storage device is used for large-scale power supply, such as power supply in remote areas, which may require a large power to meet basic power needs or in some geological disaster areas where power outages occur; 1000kW and above;

[0032] The data analysis module also selects a suitable energy storage device based on the magnitude of the voltage fluctuation value, specifically:

[0033] If the voltage fluctuation value V p If it is less than or equal to ±5%, select Class I energy storage device;

[0034] If the voltage fluctuation value V p If it is greater than ±5% and less than or equal to ±10%, select a Class II energy storage device;

[0035] If the voltage fluctuation value V p If it is greater than ±10% and less than or equal to ±20%, select a Class III energy storage device.

[0036] Preferably, when the mobile energy storage module receives a start signal and the energy storage device is installed and used, controlling the charge balance between the battery modules based on the charge regulation module includes:

[0037] Collect the cell voltage of each battery module string in the mobile energy storage device, add the cell voltage values ​​of all battery modules, and then divide it by the total number of battery modules to obtain the average cell voltage value; calculate the difference between the voltage of each battery module and the average cell voltage value, sort them according to the absolute value of the cell voltage difference, and find the battery module with the largest absolute value of the cell voltage difference;

[0038] A maximum threshold value of the difference between the cell voltage and the voltage mean is preset. If the absolute value of the maximum battery module cell voltage difference is greater than the maximum threshold value, the charge regulation module outputs a charge balancing execution signal;

[0039] If not, the battery module is in normal use.

[0040] Preferably, the mobile energy storage module is also used to obtain the charge of each battery module.

[0041] When the charge balancing signal is executed based on the output of the charge regulation module, the specific charge balancing operation method is as follows: the current P of the highest charged battery module z Transfer to a low-charge battery module.

[0042] Preferably, the current P of the highest charged battery module z The specific calculation method for transferring to a low-charge battery module is as follows:

[0043]

[0044] in, is the power difference that needs to be transferred; G is the time of current transfer; R1 is the discharge depth of the battery cell of the battery module with the highest charge, and R2 is the discharge depth of the battery cell of the battery module with the lowest charge that needs to be transferred. It is the maximum capacity of the battery cell in the highest-charge battery module.

[0045] Preferably, the data collection module is electrically connected to the data analysis module, the data analysis module is electrically connected to the mobile energy storage module and the path planning module, and the mobile energy storage module is electrically connected to the charge regulation module.

[0046] The beneficial effects of the present invention are as follows:

[0047] (1) By optimizing path selection, the time it takes for mobile energy storage devices to reach the fault site can be reduced, thereby quickly responding to power grid emergencies; scientifically selecting and dispatching emergency mobile energy storage devices can ensure that power supply can be quickly and effectively restored in an emergency; ensuring that key facilities and important loads can quickly restore power supply in an emergency, improving the reliability and stability of the entire power system; and through precise scheduling of energy storage equipment, limited mobile energy storage resources can be more effectively utilized, reducing resource waste and improving resource utilization efficiency.

[0048] (2) By linking the road surrounding and weather environment impact time, congestion time and disaster impact time to the mth iThe total travel time of the path for a mobile energy storage device to reach the power supply node location f can be calculated by considering multiple factors to ensure the comprehensiveness of path selection and make the most appropriate decision in various situations; it can adapt to different environments and conditions and improve the adaptability and flexibility of mobile energy storage vehicles in different situations; by comprehensively considering various factors, unnecessary delays and trips can be reduced and overall transportation efficiency can be improved; identifying and avoiding potential risk factors, such as disaster levels and road congestion, can reduce risks in the emergency response process. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] The present invention will be further described below in conjunction with the accompanying drawings;

[0050] Figure 1 It is a schematic diagram of the system flow of the present invention. DETAILED DESCRIPTION

[0051] 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.

[0052] Embodiment 1:

[0053] See also Figure 1 As shown, the present invention is an operation management system of a mobile energy storage device based on emergency balancing of a power grid, comprising a data collection module, a data analysis module, a mobile energy storage module, a path planning module and a charge regulation module;

[0054] Data collection module: The data collection module is used to collect the voltage value of the power supply node, and the voltage value of the power supply node includes the instantaneous voltage value of the power grid and the rated voltage value of the power grid;

[0055] Data analysis module: The data analysis module analyzes whether the power supply grid is abnormal based on the collected grid voltage value;

[0056] Mobile energy storage module: The mobile energy storage module determines whether to start based on the analysis result of the grid voltage value. If the grid voltage value is abnormal, the emergency mobile energy storage device is started;

[0057] Path planning module: The path planning module plans a path with the minimum cost from the location of the energy storage device to the location of the charging power grid when the mobile energy storage module receives a start signal;

[0058] Charge regulation module: The mobile energy storage module includes multiple battery modules, and the charge regulation module is used to control the charge balance between the multiple battery modules.

[0059] The data collection module obtains the instantaneous voltage value of the power grid in real time, and determines whether the power grid is abnormal and whether emergency balance is needed based on the instantaneous voltage value, so as to determine whether the mobile energy storage module should store energy, thereby improving the response capability and being convenient and quick to use.

[0060] The data analysis module analyzes whether the power grid is abnormal based on the collected power grid voltage values. Specifically:

[0061] S1, obtain the instantaneous voltage value V2 of the power grid and the rated voltage value V1 of the power grid through the data collection module, calculate the difference between the instantaneous voltage value V2 of the power grid and the rated voltage value V1 of the power grid, and obtain the voltage fluctuation value V p ;

[0062] S2. If the voltage fluctuation value is greater than or equal to the preset transient threshold, it indicates that the power grid has an abnormal situation and requires emergency response; if the voltage fluctuation value is less than the preset transient threshold, the power grid is operating normally;

[0063] S3, when the voltage fluctuates for the first time and an emergency response is required, the time at this moment is marked as T1, and a time threshold from when the voltage fluctuates to when the normal voltage is restored is pre-set. If the grid does not recover to the normal voltage level within the recovery time threshold, that is, it does not recover to the rated voltage value V1 of the grid, the mobile energy storage module outputs a start signal to provide temporary power support;

[0064] Dynamic voltage transient refers to the rapid change of voltage caused by some unexpected events (such as short circuit, equipment switching, load mutation, etc.) during the normal operation of the power grid. This transient may affect the stability of the power grid and the safety of the connected equipment.

[0065] Obtain the instantaneous voltage value V2 of the power grid and the rated voltage value V1 of the power grid, and calculate the percentage of the voltage transient range; When the power grid is operating normally, voltage fluctuations are usually within a certain range. If the voltage transient exceeds the set threshold, it is considered that the power grid has an abnormal situation and requires emergency response;

[0066] After the voltage transient changes, the power grid needs to recover to the normal voltage level within a certain period of time. If the recovery time exceeds the set threshold, it is considered that the self-recovery capacity of the power grid is insufficient to cope with the transient and external intervention is required. The recovery time is obtained by subtracting the start time from the end time, or if the result is greater than the set threshold, the power grid recovery capacity is insufficient to cope with the transient and the emergency mobile energy storage device can be started to provide temporary power support to help the power grid resume stable operation.

[0067] The path planning module plans the path with the minimum cost from the energy storage device location to the charging power grid location as follows:

[0068] Step 1: When the mobile energy storage module outputs a start signal, the corresponding power supply node position is marked as f;

[0069] Step 2: Obtain the mobile energy storage devices near the corresponding power supply node f, and establish a location set of nearby mobile energy storage devices, K = <m1,m2,…,m n >

[0070] Step 3: Calculate the location m of the nearby mobile energy storage device i The time to the corresponding power supply node position f;

[0071] in in, Indicates the mth i The travel time of a mobile energy storage device to reach the power supply node location f, T mm is the shortest travel time among all paths;

[0072] By optimizing the path selection, the time it takes for mobile energy storage devices to reach the fault site can be reduced, thereby quickly responding to power grid emergencies; scientifically selecting and dispatching emergency mobile energy storage devices can ensure that power supply is quickly and effectively restored in emergency situations; ensuring that key facilities and important loads can quickly restore power supply in emergency situations, improving the reliability and stability of the entire power system, and through the precise dispatch of energy storage equipment, more effective use of limited mobile energy storage resources can be made, reducing resource waste and improving resource utilization efficiency.

[0073] The mth i The specific calculation method of the travel time of a mobile energy storage device to reach the power supply node location f is as follows:

[0074] in, For m i The total travel time of the mobile energy storage device to reach the power supply node location f, For m i f is the total distance traveled by the mobile energy storage device to the power supply node; μ1 is the time from installation to use of the mobile energy storage device, V c Driving speed.

[0075] The mth i The total travel time of the mobile energy storage device to the power supply node location f Including: the time of impact of road surroundings and weather environment, congestion time and disaster impact time;

[0076] Right now Where ω1, ω2 and ω3 are preset weight coefficients; ω1, ω2 and ω3 can be 0.436, 0.237 and 0.327 respectively;

[0077] By linking the road surroundings and weather environment impact time, congestion time and disaster impact time to the mth i The total travel time of the path for a mobile energy storage device to reach the power supply node location f can be calculated by considering multiple factors to ensure the comprehensiveness of path selection and make the most appropriate decision in various situations; it can adapt to different environments and conditions and improve the adaptability and flexibility of mobile energy storage vehicles in different situations; by comprehensively considering various factors, unnecessary delays and trips can be reduced and overall transportation efficiency can be improved; identifying and avoiding potential risk factors, such as disaster levels and road congestion, can reduce risks in the emergency response process.

[0078] The mobile energy storage device is further classified into the following types based on the rated power of the energy storage device: Class I energy storage device, Class II energy storage device and Class III energy storage device;

[0079] Among them, Class I energy storage device: The rated power of Class I energy storage device is (10kW~50kW). The Class I energy storage device is used in small-scale application rescue, outdoor activity power supply and other scenarios. These scenarios have relatively small power requirements. Such equipment usually has the characteristics of rapid deployment and flexible mobility; Small-scale application rescue includes providing power support for rescue vehicles and equipment at traffic interruptions or accident sites;

[0080] Class II energy storage device: The rated power of the Class II energy storage device is (100kW~500kW). The Class II energy storage device is used for medium-scale power peak regulation, peak shaving and valley filling, etc. It can be used as a peak regulation means in the power system to balance the grid load fluctuation and improve the grid stability.

[0081] Class III energy storage device: The rated power of the Class III energy storage device is 1000kW and above. The Class III energy storage device is used for large-scale power supply, such as power supply in remote areas, which may require a large power to meet basic power needs or in some geological disaster areas where power outages occur; 1000kW and above;

[0082] The data analysis module also selects a suitable energy storage device based on the magnitude of the voltage fluctuation value, specifically:

[0083] If the voltage fluctuation value V p If it is less than or equal to ±5%, select Class I energy storage device;

[0084] If the voltage fluctuation value V p If it is greater than ±5% and less than or equal to ±10%, select a Class II energy storage device;

[0085] If the voltage fluctuation value V p If it is greater than ±10% and less than or equal to ±20%, select a Class III energy storage device;

[0086] Specifically, when the mobile energy storage module outputs a start signal, and the mth i After the total travel time of the mobile energy storage devices to reach the power supply node location f is calculated, the mobile energy storage device of appropriate power is selected at the corresponding appropriate location according to the size of the voltage fluctuation value at the power supply node location f; in this way, by reasonably configuring the mobile energy storage devices, the cost of upgrading and transforming the power grid can be reduced, and the economy of the power grid operation can be improved. In addition, by selecting the mobile energy storage device of appropriate power according to the voltage fluctuation range, the quality of electric energy can be improved, the stability of power supply can be guaranteed, and flexibility and emergency response capabilities can be provided, which has environmental protection, energy saving and economic benefits.

[0087] The proportional factor coefficient is used to correct the deviation of various parameters in the process of formula calculation, so as to make the calculation result more accurate;

[0088] The threshold is set to facilitate comparison. The threshold depends on the amount of sample data and the number of bases set by technicians in this field for each set of sample data. It does not affect the proportional relationship between the parameter and the quantized value.

[0089] The size of the coefficient is to quantify each parameter to obtain a specific value, which is convenient for subsequent comparison. The size of the coefficient depends on the amount of sample data and the preliminary setting of the corresponding operating coefficient for each set of sample data by technicians in this field; as long as it does not affect the proportional relationship between the parameter and the quantized value;

[0090] Embodiment 2: When the mobile energy storage module receives a start signal and the energy storage device is installed and used, the charge balance between the battery modules is controlled based on the charge regulation module, including:

[0091] Collect the cell voltage of each battery module string in the mobile energy storage device, add the cell voltage values ​​of all battery modules, and then divide it by the total number of battery modules to obtain the average cell voltage value; calculate the difference between the voltage of each battery module and the average cell voltage value, sort them according to the absolute value of the cell voltage difference, and find the battery module with the largest absolute value of the cell voltage difference;

[0092] A maximum threshold value of the difference between the cell voltage and the voltage mean is preset. If the absolute value of the maximum battery module cell voltage difference is greater than the maximum threshold value, the charge regulation module outputs a charge balancing execution signal;

[0093] If not, the battery module is in normal use.

[0094] When some external factors (such as local temperature of the battery pack or thermal imbalance between individual batteries) cause different aging rates of individual batteries, resulting in uneven internal resistance, it will affect the charging and discharging efficiency of the batteries in the battery module and the normal use of the mobile energy storage module. By calculating the cell voltage value of each battery module, it is convenient to determine whether to perform charge balance.

[0095] The mobile energy storage module is also used to obtain the charge of each battery module.

[0096] When the charge balancing signal is executed based on the output of the charge regulation module, the specific charge balancing operation method is as follows: the current P of the highest charged battery module z Transfer to a low-charge battery module.

[0097] The current P of the battery module with the highest charge z The specific calculation method for transferring to a low-charge battery module is as follows:

[0098]

[0099] in, is the power difference that needs to be transferred; G is the time of current transfer; R1 is the discharge depth of the battery cell of the battery module with the highest charge, and R2 is the discharge depth of the battery cell of the battery module with the lowest charge that needs to be transferred. It is the maximum capacity of the battery cell of the highest-charge battery module; the discharge depth refers to the percentage of the amount of electricity discharged by the battery during use to its rated capacity. The deeper the discharge depth, the shorter the cycle life of the battery is usually.

[0100] The data collection module is connected to the data analysis module by electrical signals, the data analysis module is connected to the mobile energy storage module and the path planning module by electrical signals, and the mobile energy storage module is connected to the charge regulation module by electrical signals;

[0101] The working process and principle of the present invention are as follows: the data collection module is used to collect the voltage values ​​of the power supply nodes, and the data analysis module analyzes whether there is an abnormality in the power supply grid based on the collected grid voltage values. If there is an abnormality in the power grid, emergency balancing is required, and the path planning module can select appropriate mobile energy storage for emergency response.

[0102] The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula that is close to the actual value. The coefficients in the formula are set by technical personnel in this field according to actual conditions. The above is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited to this. Any technical personnel familiar with the technical field within the technical scope disclosed by the present invention, according to the technical solution and the inventive concept of the present invention, make equivalent replacement or change, which should be covered within the protection scope of the present invention.

Claims

1. An operation management system for a mobile energy storage device based on emergency balancing of a power grid, characterized in that: include: Data collection module: The data collection module is used to collect the voltage value of the power supply node, and the voltage value of the power supply node includes the instantaneous voltage value of the power grid and the rated voltage value of the power grid; Data analysis module: The data analysis module analyzes whether the power supply grid is abnormal based on the collected grid voltage value; Mobile energy storage module: The mobile energy storage module determines whether to start based on the analysis result of the grid voltage value. If the grid voltage value is abnormal, the emergency mobile energy storage device is started; Path planning module: The path planning module plans a path with the minimum cost from the location of the energy storage device to the location of the charging power grid when the mobile energy storage module receives a start signal; Charge regulation module: The mobile energy storage module includes multiple battery modules, and the charge regulation module is used to control the charge balance between the multiple battery modules.

2. The operation management system of the mobile energy storage device based on power grid emergency balancing according to claim 1, characterized in that: The data analysis module analyzes whether the power grid is abnormal based on the collected power grid voltage values. Specifically: S1, obtain the instantaneous voltage value V2 of the power grid and the rated voltage value V1 of the power grid through the data collection module, calculate the difference between the instantaneous voltage value V2 of the power grid and the rated voltage value V1 of the power grid, and obtain the voltage fluctuation value V p ; S2. If the voltage fluctuation value is greater than or equal to the preset transient threshold, it indicates that an abnormal situation has occurred in the power grid and an emergency response is required; If the voltage fluctuation value is less than the preset transient threshold, the grid is operating normally; S3. When the voltage fluctuates for the first time and an emergency response is required, the time at this moment is marked as T1, and a time threshold from the voltage fluctuation to the restoration of normal voltage is pre-set. If the grid does not recover to the normal voltage level within the recovery time threshold, that is, it does not recover to the rated voltage value V1 of the grid, the mobile energy storage module outputs a start signal to provide temporary power support.

3. The operation management system of the mobile energy storage device based on power grid emergency balancing according to claim 2, characterized in that: The path planning module plans the path with the minimum cost from the energy storage device location to the charging power grid location as follows: Step 1: When the mobile energy storage module outputs a start signal, the corresponding power supply node position is marked as f; Step 2: Obtain the mobile energy storage devices near the corresponding power supply node f, and establish a location set of nearby mobile energy storage devices, K = <m1,m2,…,m n > Step 3: Calculate the location m of the nearby mobile energy storage device i The time to the corresponding power supply node position f; in in, Indicates the mth i The travel time of a mobile energy storage device to reach the power supply node location f, T mn It is the shortest travel time among all the paths.

4. The operation management system of the mobile energy storage device based on power grid emergency balancing according to claim 3 is characterized in that: The mth i The specific calculation method of the travel time of a mobile energy storage device to reach the power supply node location f is as follows: in, For m i The total travel time of the mobile energy storage device to reach the power supply node location f, For m i f is the total distance traveled by the mobile energy storage device to the power supply node; μ1 is the time from installation to use of the mobile energy storage device, V c Driving speed.

5. The operation management system of the mobile energy storage device based on power grid emergency balancing according to claim 1, characterized in that: The mth i The total travel time of the mobile energy storage device to the power supply node location f Including: the time of impact of road surroundings and weather environment, congestion time and disaster impact time; Right now Wherein ω1, ω2 and ω3 are preset weight coefficients.

6. The operation management system of the mobile energy storage device based on power grid emergency balancing according to claim 5, characterized in that: The mobile energy storage device is further classified into the following types based on the rated power of the energy storage device: Class I energy storage device, Class II energy storage device and Class III energy storage device; Among them, Class I energy storage device: the rated power of the Class I energy storage device is (10kW~50kW), and the Class I energy storage device is used for small-scale rescue and outdoor activities power supply; Class II energy storage device: The rated power of the Class II energy storage device is (100kW to 500kW). The Class II energy storage device is used for medium-scale power peak regulation and peak-shaving; Class III energy storage device: The rated power of the Class III energy storage device is 1000kW or above, and the Class III energy storage device is used for large-scale power supply; The data analysis module also selects a suitable energy storage device based on the magnitude of the voltage fluctuation value, specifically: If the voltage fluctuation value V p If it is less than or equal to ±5%, select Class I energy storage device; If the voltage fluctuation value V p If it is greater than ±5% and less than or equal to ±10%, select a Class II energy storage device; If the voltage fluctuation value V p If it is greater than ±10% and less than or equal to ±20%, select a Class III energy storage device.

7. The operation management system of the mobile energy storage device based on power grid emergency balancing according to claim 4, characterized in that: When the mobile energy storage module receives a start signal and the energy storage device is installed and used, the charge balance between the battery modules is controlled based on the charge regulation module, including: Collect the cell voltage of each battery module string in the mobile energy storage device, add the cell voltage values ​​of all battery modules, and then divide it by the total number of battery modules to obtain the average cell voltage value; calculate the difference between the voltage of each battery module and the average cell voltage value, sort them according to the absolute value of the cell voltage difference, and find the battery module with the largest absolute value of the cell voltage difference; A maximum threshold value of the difference between the cell voltage and the voltage mean is preset. If the absolute value of the maximum battery module cell voltage difference is greater than the maximum threshold value, the charge regulation module outputs a charge balancing execution signal; If not, the battery module is in normal use.

8. The operation management system of the mobile energy storage device based on power grid emergency balancing according to claim 7, characterized in that: The mobile energy storage module is also used to obtain the charge of each battery module. When the charge balancing signal is executed based on the output of the charge regulation module, the specific charge balancing operation method is as follows: the current P of the highest charged battery module z Transfer to a low-charge battery module.

9. The operation management system of the mobile energy storage device based on power grid emergency balancing according to claim 8, characterized in that: The current P of the battery module with the highest charge z The specific calculation method for transferring to a low-charge battery module is as follows: in, is the power difference that needs to be transferred; G is the time of current transfer; R1 is the discharge depth of the battery cell of the battery module with the highest charge, and R2 is the discharge depth of the battery cell of the battery module with the lowest charge that needs to be transferred. It is the maximum capacity of the battery cell in the highest-charge battery module.

10. The operation management system of the mobile energy storage device based on power grid emergency balancing according to claim 1, characterized in that: The data collection module is connected to the data analysis module by electrical signals, the data analysis module is connected to the mobile energy storage module and the path planning module by electrical signals, and the mobile energy storage module is connected to the charge regulation module by electrical signals.

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