Power distribution and energy storage management system, method and equipment for novel power system

Abstract

The invention discloses a power distribution and energy storage management system, method and equipment for a novel power system, and relates to the technical field of AC power distribution network control. The power distribution and energy storage management system for the novel electric power system comprises a power distribution and energy storage management self-checking adjustment module, a three-phase imbalance contrastive analysis adjustment module and an energy storage battery junction temperature heat dissipation contrastive analysis adjustment module. Self-checking adjustment, three-phase imbalance adjustment and energy storage battery junction temperature heat dissipation adjustment are included, and power distribution energy storage management self-checking adjustment is carried out according to self-checking results; performing power distribution energy storage three-phase unbalance degree management self-checking adjustment according to a three-phase unbalance monitoring comparison analysis result; and power distribution energy storage junction temperature heat dissipation management self-checking adjustment is carried out according to the energy storage battery junction temperature heat dissipation monitoring comparison analysis result, so that the environmental adaptability of distributed photovoltaic access power distribution energy storage regulation and control management is improved, and the problem of insufficient environmental adaptability of distributed photovoltaic access power distribution energy storage regulation and control management in the prior art is solved.

Description

Technical Field

[0001] The present invention relates to the field of AC power distribution network control technology, and in particular to a power distribution energy storage management system for a new power system. Background Art

[0002] The construction of the new power system stems from the global energy transformation. The high proportion of new energy access has caused the power system to face volatility and intermittent challenges, which the traditional "source follows load" model is difficult to cope with.

[0003] Existing distribution energy storage management systems for new power systems utilize the following technologies: electrochemical energy storage, suitable for scenarios such as base station backup, but with room for improvement in energy density. Compressed air energy storage, with a single unit capacity exceeding 500MW and efficiency increased to 70%, is suitable for long-term peak load regulation.

[0004] For example, patent application publication number CN116131304A discloses a power distribution and energy storage management system for a new power system. The system includes a data acquisition module, an equipment information module, an energy storage allocation module, a navigation module, a data processing module, an unmanned transport unit, a remote communication unit, and a central control unit. The data acquisition module includes a historical electricity consumption statistics unit, a total storage energy unit, a storage energy usage unit, and an electricity usage statistics unit. Information provided by a line classification unit is then used through a basic information recording unit, a spatial coordinate recording unit, and a superior-subordinate relationship unit to obtain detailed information about the distribution equipment on the line. By displaying the line in a model, maintenance personnel can quickly locate the distribution equipment on the faulty line using a precise navigation unit, allowing the fault to be quickly addressed.

[0005] For example, the patent application with announcement number CN117498307B discloses a regional autonomous and demand-response coordinated grid source-load-storage-charging control system, which includes a flexible and orderly charging control terminal for monitoring power loads, energy storage device modules, photovoltaic power modules, grid power supply modules, and charging pile modules; a distributed power source for connecting to the grid power supply network and controlling access to the grid power supply network; an energy storage DES control module for storing and controlling power generation of photovoltaic power sources and grid power supply modules; a charging load migration control terminal for providing power output for charging control of external devices; a power load migration control terminal for monitoring and controlling the power consumption of power loads; a distribution station area control terminal; a new load management system; and a flexible and orderly charging operator management platform.

[0006] However, in the process of implementing the technical solutions of the invention in the embodiments of the present application, the present application found that the above technology has at least the following technical problems:

[0007] In existing technologies, the problems of low voltage at the end of rural power grids and three-phase imbalance are particularly serious in mountainous rural areas, especially during the busy farming season and peak electricity consumption in winter and summer. The traditional distribution and energy storage management and regulation capabilities are insufficient, and the energy storage compensation response is delayed, which aggravates these problems. There is also the problem of insufficient environmental adaptability of distributed photovoltaic access to distribution and energy storage regulation and management. Summary of the Invention

[0008] The embodiments of the present application solve the problem of insufficient environmental adaptability of distributed photovoltaic access to distribution energy storage regulation and management in the prior art by providing a distribution energy storage management system for a new power system, thereby achieving the effect of improving the environmental adaptability of distributed photovoltaic access to distribution energy storage regulation and management.

[0009] An embodiment of the present application provides a distribution energy storage management system for a novel power system, comprising: a distribution energy storage management self-test and adjustment module, a three-phase imbalance comparison analysis and adjustment module, and an energy storage battery junction temperature and heat dissipation comparison analysis and adjustment module; the distribution energy storage management self-test and adjustment module is configured to self-test distributed energy storage batteries and corresponding terminal voltages in the distribution energy storage management, and perform self-test and adjustment of the distribution energy storage management based on the self-test results; the three-phase imbalance comparison analysis and adjustment module is configured to monitor three-phase imbalance in the distribution energy storage management, and perform self-test and adjustment of the distribution energy storage three-phase imbalance management based on the comparison and analysis results of the three-phase imbalance monitoring; and the energy storage battery junction temperature and heat dissipation comparison analysis and adjustment module is configured to monitor the junction temperature and heat dissipation of the energy storage battery in the distribution energy storage management, and perform self-test and adjustment of the distribution energy storage junction temperature and heat dissipation management based on the comparison and analysis results of the energy storage battery junction temperature and heat dissipation monitoring.

[0010] Furthermore, the distribution energy storage management self-inspection adjustment is carried out according to the self-inspection results. The specific process is as follows: the three-phase load terminal voltage of the distributed energy storage battery is obtained by collecting the three-phase load terminal voltage connected to the distributed energy storage battery; the temperature of the local area inside the distributed energy storage battery is obtained by sampling and collecting through the temperature sensor built into the distributed energy storage battery; if the three-phase load terminal voltage of the distributed energy storage battery is different from the three-phase load terminal standard voltage, the three-phase load terminal voltage difference of the distributed energy storage battery is obtained; if the three-phase load terminal voltage difference of the distributed energy storage battery is less than the three-phase load terminal voltage difference threshold of the distributed energy storage battery, then No adjustment; if the voltage difference of the three-phase load terminals of the distributed energy storage battery is equal to or greater than the voltage difference threshold of the three-phase load terminals of the distributed energy storage battery, the three-phase load terminals connected to the corresponding distributed energy storage battery adopt the starting wide-range voltage regulation distribution and transformation device and the intelligent capacity regulation device to start the static VAR generator module of the energy storage system; if the temperature of the local area inside the distributed energy storage battery is lower than the temperature threshold of the local area inside the distributed energy storage battery, no adjustment is made; if the temperature of the local area inside the distributed energy storage battery is equal to or greater than the temperature threshold of the local area inside the distributed energy storage battery, the fast fuse is started in the series circuit of the distributed energy storage battery group.

[0011] Furthermore, the specific process of self-checking and adjusting the three-phase imbalance management of the distribution energy storage according to the comparative analysis results of the three-phase imbalance monitoring is as follows: the three-phase current of the three-phase load terminal of the distributed energy storage battery is collected by the three-phase current sensor to obtain the three-phase current imbalance; if the three-phase current imbalance is equal to or greater than the three-phase current imbalance threshold, the corresponding load phase sequence switching control is performed through the intelligent circuit breaker through the control master station, and the pigeon flock algorithm is used to optimize the load distribution plan to minimize the three-phase imbalance; if the three-phase current imbalance is less than the three-phase current imbalance threshold, the load phase sequence switching control is performed by the intelligent circuit breaker through the control master station, and the load distribution plan is optimized by the pigeon flock algorithm ... Phase current imbalance threshold: The neutral line current signal is collected in real time through an electronic transformer, and the neutral line current distortion rate is obtained through fast Fourier transform analysis. If the neutral line current distortion rate is equal to or greater than the neutral line current distortion threshold, an active filter generates a reverse offset current based on the harmonic current obtained through fast Fourier transform analysis. If the neutral line current distortion rate is less than the neutral line current distortion threshold, the negative superposition burst value of the distribution energy storage harmonics is obtained through analysis and evaluation. The three-phase unbalanced harmonic adjustment is performed by comparing the analysis results of the negative superposition burst value of the distribution energy storage harmonics.

[0012] Furthermore, the specific process of obtaining the negative superposition burst value of the distribution energy storage harmonics through analysis and evaluation is as follows: the built-in data acquisition module of the static VAR generator collects data in real time to obtain the modulation ratio of the static VAR generator; the capacitance value of the corresponding distribution line is directly measured using a capacitance measuring instrument; the distribution energy storage management power monitoring module collects the maximum value of the photovoltaic penetration rate and the average value of the output fluctuation frequency of the photovoltaic power generation inverter; the standard modulation ratio of the static VAR generator, the standard value of the distribution line capacitance, the historical average value of the photovoltaic penetration rate and the harmonic fundamental frequency are directly extracted from the distribution energy storage management library of the new power system; the proportion of the static VAR generator modulation ratio and the static VAR generator standard modulation ratio is analyzed, and then the first weight factor of the negative superposition of the distribution energy storage harmonic is used for correction to obtain the first negative component of the distribution energy storage harmonic; the distribution line capacitance is compared with the distribution line capacitance. The proportion of the standard value of the capacitor is analyzed, and then the distribution energy storage harmonics are negatively superimposed on the second weighting factor for correction to obtain the second negative component of the distribution energy storage harmonics; the proportion of the maximum photovoltaic penetration rate and the historical average photovoltaic penetration rate is analyzed, and then the distribution energy storage harmonics are negatively superimposed on the third weighting factor for correction to obtain the third negative component of the distribution energy storage harmonics; the results of the deviation analysis of the harmonic fundamental frequency, the average output fluctuation frequency of the photovoltaic power generation inverter and the harmonic fundamental frequency are analyzed, and then the distribution energy storage harmonics are negatively superimposed on the fourth weighting factor for correction to obtain the fourth negative component of the distribution energy storage harmonics; the first negative component of the distribution energy storage harmonics, the second negative component of the distribution energy storage harmonics and the third negative component of the distribution energy storage harmonics are coupled and analyzed, and then analyzed with the proportion of the negative fourth component of the distribution energy storage harmonics to obtain the sudden value of the distribution energy storage harmonics.

[0013] Furthermore, the three-phase unbalanced harmonics are adjusted based on the comparison and analysis results of the negative superposition burst value of the distribution energy storage harmonics. The specific process is as follows: if the negative superposition burst value of the distribution energy storage harmonics is less than or equal to the negative superposition burst value threshold of the distribution energy storage harmonics, the distribution energy storage junction temperature heat dissipation management self-inspection adjustment is performed based on the comparison and analysis results of the energy storage battery junction temperature heat dissipation monitoring; if the negative superposition burst value of the distribution energy storage harmonics is greater than the negative superposition burst value threshold of the distribution energy storage harmonics, the negative superposition burst value of the distribution energy storage harmonics is subtracted from the negative superposition burst value of the distribution energy storage harmonics to obtain the negative superposition burst difference of the distribution energy storage harmonics, and the harmonics of the line corresponding to the distributed energy storage battery are suppressed based on the negative superposition burst difference of the distribution energy storage harmonics.

[0014] Furthermore, the distributed energy storage battery suppresses harmonics on the corresponding line, specifically including: reducing the standard modulation ratio of the static VAR generator corresponding to the distributed energy storage battery according to the negative superposition burst difference of the distribution energy storage harmonics; starting a predefined band-stop filter and reducing the quality factor of the predefined band-stop filter according to the negative superposition burst difference of the distribution energy storage harmonics; and increasing the impedance rate of the series reactor at the end of the line corresponding to the distributed energy storage battery according to the negative superposition burst difference of the distribution energy storage harmonics.

[0015] Furthermore, the junction temperature heat dissipation management self-inspection adjustment of the distribution energy storage is carried out according to the comparative analysis results of the energy storage battery junction temperature heat dissipation monitoring, specifically including: obtaining the energy storage battery junction temperature heat dissipation detection difference value according to the energy storage battery junction temperature heat dissipation monitoring data analysis, and the specific process is: setting a shunt resistor on the corresponding circuit loop of the distributed energy storage battery, and obtaining the shunt distributed energy storage battery charge and discharge current through low-resistance resistor collection and analysis; obtaining the distributed energy storage battery internal resistance by embedding the internal resistance collection unit at a predefined position inside the distributed energy storage battery module; directly extracting the distributed energy storage battery charge and discharge current standard value, distributed energy storage battery internal resistance standard value, distributed energy storage battery aging correction factor and energy storage battery junction temperature monitoring time period from the distribution energy storage management library of the new power system; correcting the distribution energy storage harmonic negative superposition burst value by the first weight factor of the energy storage battery junction temperature heat dissipation, and obtaining the energy storage battery junction temperature heat dissipation detection time period. Measure the first component; perform coupling analysis on the branch distributed energy storage battery charge and discharge current, the distributed energy storage battery internal resistance and the energy storage battery junction temperature monitoring time period, and then perform a proportion analysis on the coupling analysis results with the distributed energy storage battery charge and discharge current standard value and the distributed energy storage battery internal resistance standard value, correct by the distributed energy storage battery aging correction factor, and then correct by the energy storage battery junction temperature heat dissipation second weight factor to obtain the energy storage battery junction temperature heat dissipation detection second component; perform coupling analysis on the energy storage battery junction temperature heat dissipation detection first component and the energy storage battery junction temperature heat dissipation detection second component, and then correct by the distributed energy storage battery aging correction factor to obtain the energy storage battery junction temperature heat dissipation detection value; perform a difference analysis on the energy storage battery junction temperature heat dissipation detection value of the distributed energy storage battery time monitoring point and the energy storage battery junction temperature heat dissipation detection value of the previous distributed energy storage battery time monitoring point to obtain the energy storage battery junction temperature heat dissipation detection difference value.

[0016] Furthermore, the junction temperature heat dissipation detection difference value of the energy storage battery is obtained based on the analysis of the energy storage battery junction temperature heat dissipation monitoring data. The specific process is: by setting a shunt resistor on the corresponding circuit loop of the distributed energy storage battery, the shunt distributed energy storage battery charge and discharge current is obtained by collecting and analyzing the low-resistance resistor; by embedding the internal resistance collection unit at a predefined position inside the distributed energy storage battery module, the distributed energy storage battery internal resistance is collected; the distributed energy storage battery charge and discharge current standard value, the distributed energy storage battery internal resistance standard value and the distributed energy storage battery aging correction factor are directly extracted from the distribution energy storage management library of the new power system; the shunt distributed energy storage battery charge and discharge current is compared with the distributed storage battery charge and discharge current standard value. The first component of the energy storage battery junction temperature heat dissipation detection is obtained by performing a ratio analysis on the internal resistance of the distributed energy storage battery and the standard value of the distributed energy storage battery internal resistance to obtain the second component of the energy storage battery junction temperature heat dissipation detection; the negative superposition burst value of the distribution energy storage harmonics, the first component of the energy storage battery junction temperature heat dissipation detection and the second component of the energy storage battery junction temperature heat dissipation detection are coupled and analyzed, and then corrected by the distributed energy storage battery aging correction factor to obtain the energy storage battery junction temperature heat dissipation detection value; the difference between the energy storage battery junction temperature heat dissipation detection value at the distributed energy storage battery time monitoring point and the energy storage battery junction temperature heat dissipation detection value at the previous distributed energy storage battery time monitoring point is analyzed to obtain the energy storage battery junction temperature heat dissipation detection difference value.

[0017] The distribution energy storage management method for a novel power system provided in an embodiment of the present application is characterized by comprising the following steps: the distribution energy storage management performs self-inspection on the distributed energy storage battery and the corresponding terminal voltage, and performs self-inspection and adjustment of the distribution energy storage management according to the self-inspection results; the distribution energy storage management performs three-phase imbalance monitoring, and performs self-inspection and adjustment of the distribution energy storage three-phase imbalance management according to the comparative analysis results of the three-phase imbalance monitoring; the distribution energy storage management performs junction temperature heat dissipation monitoring on the energy storage battery, and performs self-inspection and adjustment of the distribution energy storage junction temperature heat dissipation management according to the comparative analysis results of the energy storage battery junction temperature heat dissipation monitoring.

[0018] The power distribution and energy storage management device for a new power system provided in an embodiment of the present application is used to store a program, and when the program is executed by a processor, it implements a power distribution and energy storage management system for the new power system.

[0019] One or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages:

[0020] 1. The present invention performs self-inspection and adjustment of distribution energy storage management based on self-inspection results; performs self-inspection and adjustment of distribution energy storage three-phase imbalance management based on three-phase imbalance monitoring and comparative analysis results; and performs self-inspection and adjustment of distribution energy storage junction temperature heat dissipation management based on energy storage battery junction temperature heat dissipation monitoring and comparative analysis results, thereby improving the environmental adaptability of distributed photovoltaic access to distribution energy storage control and management, and solving the problem of insufficient environmental adaptability of distributed photovoltaic access to distribution energy storage control and management in the prior art.

[0021] 2. Based on the comparative analysis results of three-phase imbalance monitoring, self-checking and adjustment are performed on the three-phase imbalance management of distribution and energy storage. Three-phase current sensors are used to monitor load changes in real time. Combined with the pigeon flock algorithm to optimize load distribution, phase switching can be completed in milliseconds. This integrates parameters such as the static VAR generator modulation ratio, distribution line capacitance, and photovoltaic penetration rate to construct a voltage sensitivity matrix and prediction model, achieving accurate quantification of the negative harmonic superposition burst value. By coupling and analyzing four types of components, a suppression strategy is dynamically generated, significantly improving the accuracy of treatment compared to a single compensation method.

[0022] 3. Based on the comparative analysis results of energy storage battery junction temperature heat dissipation monitoring, self-inspection and adjustment of distribution energy storage junction temperature heat dissipation management are carried out. By reducing the SVG modulation ratio, optimizing the band-stop filter parameters, and increasing the line impedance ratio, a closed-loop control for harmonic suppression is formed. At the same time, based on the real-time harmonic negative superposition burst value adjustment strategy, the response time is in the millisecond level, which can quickly suppress harmonic impacts in scenarios such as photovoltaic fluctuations and load mutations, and avoid overload of reactive power compensation devices; thus achieving optimal allocation of heat dissipation resources. By integrating data such as shunt resistor current acquisition, internal resistance measurement, and aging correction factors, a junction temperature heat dissipation detection model is constructed, and three-level heat dissipation thresholds are set. Then, through a step-by-step strategy of air cooling speed increase, liquid cooling flow increase, and dual-mode full-load alarm, the timeliness of thermal runaway risk warning is greatly improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 This is a schematic diagram of the structure of a power distribution and energy storage management system for a new power system provided in an embodiment of the present application.

[0024] Figure 2 A flow chart of a distribution and energy storage management method for a new power system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0025] The embodiments of the present application provide a distribution energy storage management system for a new type of power system, thereby solving the problem of insufficient environmental adaptability of the prior art in the regulation and management of distributed photovoltaic access to distribution energy storage. By performing self-inspection and adjustment of distribution energy storage management based on self-inspection results; performing self-inspection and adjustment of distribution energy storage three-phase imbalance management based on the results of three-phase imbalance monitoring and comparative analysis; and performing self-inspection and adjustment of distribution energy storage junction temperature heat dissipation management based on the results of energy storage battery junction temperature heat dissipation monitoring and comparative analysis, the environmental adaptability of the regulation and management of distributed photovoltaic access to distribution energy storage is achieved.

[0026] In order to better understand the above technical solution, the above technical solution will be described in detail below with reference to the accompanying drawings and specific implementation methods.

[0027] like Figure 1 As shown, it is a structural schematic diagram of the distribution energy storage management system for a new power system provided by an embodiment of the present application. The distribution energy storage management system for a new power system provided by an embodiment of the present application includes: a distribution energy storage management self-test adjustment module, a three-phase imbalance comparison analysis and adjustment module, and an energy storage battery junction temperature heat dissipation comparison analysis and adjustment module; the distribution energy storage management self-test adjustment module is used for the distribution energy storage management to self-test the distributed energy storage batteries and the corresponding terminal voltages, and perform self-test and adjustment of the distribution energy storage management according to the self-test results; the three-phase imbalance comparison analysis and adjustment module is used for the distribution energy storage management to monitor the three-phase imbalance, and perform self-test and adjustment of the distribution energy storage three-phase imbalance management according to the comparison and analysis results of the three-phase imbalance monitoring; the energy storage battery junction temperature heat dissipation comparison analysis and adjustment module is used for the distribution energy storage management to monitor the junction temperature heat dissipation of the energy storage battery, and perform self-test and adjustment of the distribution energy storage junction temperature heat dissipation management according to the comparison and analysis results of the energy storage battery junction temperature heat dissipation monitoring.

[0028] Furthermore, the distribution energy storage management self-inspection adjustment is carried out according to the self-inspection results. The specific process is as follows: the three-phase load terminal voltage of the distributed energy storage battery is obtained by collecting the three-phase load terminal voltage connected to the distributed energy storage battery; the temperature of the local area inside the distributed energy storage battery is obtained by sampling and collecting through the temperature sensor built into the distributed energy storage battery; if the three-phase load terminal voltage of the distributed energy storage battery is different from the three-phase load terminal standard voltage, the three-phase load terminal voltage difference of the distributed energy storage battery is obtained; if the three-phase load terminal voltage difference of the distributed energy storage battery is less than the three-phase load terminal voltage difference threshold of the distributed energy storage battery, then No adjustment; if the voltage difference of the three-phase load terminals of the distributed energy storage battery is equal to or greater than the voltage difference threshold of the three-phase load terminals of the distributed energy storage battery, the three-phase load terminals connected to the corresponding distributed energy storage battery adopt the starting wide-range voltage regulation distribution and transformation device and the intelligent capacity regulation device to start the static VAR generator module of the energy storage system; if the temperature of the local area inside the distributed energy storage battery is lower than the temperature threshold of the local area inside the distributed energy storage battery, no adjustment is made; if the temperature of the local area inside the distributed energy storage battery is equal to or greater than the temperature threshold of the local area inside the distributed energy storage battery, the fast fuse is started in the series circuit of the distributed energy storage battery group.

[0029] In this embodiment, the energy storage system typically utilizes a three-phase, four-wire topology connected to the low-voltage substation busbar. Connected via a T-connector or the nearest line terminal, the system monitors the voltage and current signals of each phase in the substation in real time and communicates data with the grid's central control system. For example, the three-phase, four-wire design allows for independent control of charging and discharging per phase, making it suitable for scenarios where single-phase loads are predominantly located in mountainous areas.

[0030] The energy storage system achieves real-time communication with the power grid through intelligent fusion terminals or distribution automation master stations, receives dispatch instructions and uploads operating data, and supports remote control of charging and discharging power, reactive compensation parameters, etc.

[0031] The following is an example of the application of the new power system's distribution energy storage management system and the core entities and circuit logic relationship in mountainous rural areas:

[0032] Photovoltaic inverter: converts direct current from photovoltaic panels into alternating current and feeds it into the power grid.

[0033] Energy storage system: includes lithium battery energy storage unit and bidirectional converter.

[0034] Static VAR generator: dynamically compensates reactive power and stabilizes voltage.

[0035] Distribution transformer: Steps up or down the voltage of electrical energy, connecting the high and low voltage sides.

[0036] Three-phase loads: agricultural irrigation and drainage equipment, residential electrical equipment, etc.

[0037] Thermal resistance temperature sensors and thermocouples can be used to measure the temperature of local areas within distributed energy storage batteries. For example, some solutions embed thermistors between electrodes and diaphragms to enable multi-point temperature monitoring. Built-in thermocouples measure the temperature by measuring the thermoelectric potential difference between the two metal contact points, offering low cost and high-temperature resistance. These sensors have already been embedded within batteries in commercial applications.

[0038] It should be noted that the local area specifically corresponds to the temperature monitoring point for implementing multi-point temperature monitoring in the above example, and one local area corresponds to at least one temperature monitoring point.

[0039] The corresponding three-phase load terminals connected to the distributed energy storage batteries use a wide-range voltage regulation distribution transformer and an intelligent capacity adjustment device. For example, the wide-range voltage regulation distribution transformer uses an on-load automatic capacity and voltage regulation distribution transformer to achieve wide voltage regulation by adjusting the high-voltage winding turns ratio (for example, the 10kV side uses a three-speed voltage regulation with a gear switching range of ±5%). The low-voltage side uses star-delta winding conversion to change the output capacity by connecting windings in series or parallel.

[0040] The intelligent capacity regulation device is equipped with an intelligent capacity regulation controller on the low-voltage side of the on-load automatic capacity and voltage regulation distribution transformer to monitor the voltage, current and power factor in real time. When the load rate is lower than 30%, it automatically switches to a small capacity gear (such as 800kVA→200kVA), reducing the no-load loss to less than 15%.

[0041] The energy storage system is connected to the low-voltage substation busbar through a static VAR generator module (the capacity is configured according to 20% of the line reactive power shortage). The static VAR generator module adopts pulse width modulation control technology with a response time of ≤5ms, giving priority to compensating inductive reactive power and suppressing voltage drops.

[0042] The fast fuse is activated in the series circuit of the distributed energy storage battery pack to prevent overcurrent from exacerbating thermal runaway.

[0043] Furthermore, the specific process of self-checking and adjusting the three-phase imbalance management of the distribution energy storage according to the comparative analysis results of the three-phase imbalance monitoring is as follows: the three-phase current of the three-phase load terminal of the distributed energy storage battery is collected by the three-phase current sensor to obtain the three-phase current imbalance; if the three-phase current imbalance is equal to or greater than the three-phase current imbalance threshold, the corresponding load phase sequence switching control is performed through the intelligent circuit breaker through the control master station, and the pigeon flock algorithm is used to optimize the load distribution plan to minimize the three-phase imbalance; if the three-phase current imbalance is less than the three-phase current imbalance threshold, the load phase sequence switching control is performed by the intelligent circuit breaker through the control master station, and the load distribution plan is optimized by the pigeon flock algorithm ... Phase current imbalance threshold: The neutral line current signal is collected in real time through an electronic transformer, and the neutral line current distortion rate is obtained through fast Fourier transform analysis. If the neutral line current distortion rate is equal to or greater than the neutral line current distortion threshold, an active filter generates a reverse offset current based on the harmonic current obtained through fast Fourier transform analysis. If the neutral line current distortion rate is less than the neutral line current distortion threshold, the negative superposition burst value of the distribution energy storage harmonics is obtained through analysis and evaluation. The three-phase unbalanced harmonic adjustment is performed by comparing the analysis results of the negative superposition burst value of the distribution energy storage harmonics.

[0044] In this embodiment, the three-phase current imbalance can be obtained by the average difference maximum method. The example process is: add the three-phase currents and divide them by three, calculate the three-phase average current, calculate the absolute difference between each phase current and the average current, calculate the absolute difference between each phase current and the average current, find the maximum difference from the above differences, divide the maximum difference by the three-phase average current, and then multiply by 100% to obtain the three-phase current imbalance. By paying attention to the maximum deviation between the single-phase current and the three-phase average current, the most serious imbalance situation is reflected.

[0045] Load phase sequence switching control: The control master selects the power terminals that need to be adjusted according to the load information and switches their access phase sequence through the intelligent circuit breaker. For example:

[0046] A phase-changing device with built-in solid-state switches is used to complete phase sequence switching within 2ms.

[0047] The pigeon flock algorithm is used to optimize the load distribution scheme and minimize the three-phase imbalance.

[0048] Recalculate the imbalance after switching. If it still exceeds the standard, repeat the above steps.

[0049] The following is an example of a technical process for optimizing the load distribution scheme using the pigeon flock algorithm to minimize the three-phase imbalance:

[0050] The specific technical process of using the pigeon flock algorithm to optimize the load distribution scheme to minimize the three-phase imbalance can be broken down into the following steps:

[0051] Data collection: Use high-speed power line communication technology to collect three-phase current data in the substation area.

[0052] Data filling: Check the collected current data and use appropriate methods (such as interpolation, mean filling, etc.) to fill in missing values.

[0053] Load model establishment: Based on complete data, establish the load model of the substation.

[0054] Determine the connection relationship: clarify the connection relationship of the phase-commutating device, that is, which loads can be switched in phase sequence through the phase-commutating device.

[0055] Establish matrix: Construct branch current matrix and state parameter matrix to provide mathematical model for subsequent algorithms.

[0056] Randomly generate the initial population: randomly generate a certain number of "pigeon" individuals, each of which represents a load distribution scheme, including a switch state vector and a speed vector.

[0057] Set parameters: Determine the parameters of the algorithm, including the maximum number of iterations (such as 800) and the population size (such as 50-200).

[0058] Map operator: Update the speed and position of each "pigeon" according to the following formula.

[0059] Prioritized exploration: The algorithm should prioritize exploring areas with high fitness, that is, those load distribution schemes that can reduce three-phase imbalance.

[0060] Elimination and convergence: After each iteration, individuals with low fitness are eliminated and the remaining individuals are moved closer to the center of the population to accelerate the convergence of the algorithm.

[0061] Calculate the objective function: Calculate the objective function value for each individual, that is, the three-phase imbalance.

[0062] Record the optimal solution: record the global optimal solution after each iteration.

[0063] Mapping the optimal solution: mapping the final optimal solution into the operating instructions of the commutation device.

[0064] Execution operation: The intelligent circuit breaker completes the switching of the load phase sequence within 2ms to achieve the optimal load distribution solution.

[0065] This process requires continuous iteration and optimization until the preset maximum number of iterations is reached or the three-phase imbalance is reduced to an acceptable range. It should be noted that in actual applications, the algorithm may need to be appropriately adjusted to adapt to the specific power system environment and constraints.

[0066] The three-phase current imbalance and voltage deviation are monitored in real time, and a secondary optimization cycle is triggered if they do not meet the standards.

[0067] An example of calling the main function of the pigeon flock algorithm through MATLAB software is as follows:

[0068] function[Best_pos, Best_score]=PigeonOptimization(LoadModel, SwitchMatrix)

[0069] Initialization of local area temperature parameters inside distributed energy storage batteries

[0070] pop_size=150; population size

[0071] max_iter=800; maximum number of iterations

[0072] dim=size(SwitchMatrix, 1); decision variable dimension (number of switch states)

[0073] lb=zeros(1,dim); variable lower bound (0 means disconnected)

[0074] ub=ones(1,dim); upper bound of variable (1 means closed)

[0075] Population initialization

[0076] X = initialization(pop_size, dim, lb, ub); randomly generate initial solution

[0077] Vec = rand (pop_size, dim); Initialize velocity vector

[0078] Fitness calculation (custom three-phase imbalance function required)

[0079] fitness=zeros(1,pop_size);

[0080] for i=1:pop_size

[0081] k=X(i,:); Current switch status

[0082] I = calculate_current(LoadModel, k); calculate branch current [4](@ref)

[0083] fitness(i)=fobj_Imax(I); Objective function: maximum current imbalance

[0084] end

[0085] The following is an example of iterative optimization:

[0086] for t=1:max_iter

[0087] Map operator (global search)

[0088] R = 0.5exp(-0.01t); adaptive map factor

[0089] for i=1:pop_size

[0090] gBest_idx=find(fitness==min(fitness)); Current optimal solution index

[0091] Xgbest=X(gBest_idx(1),:);

[0092] Vec(i,:)=Vec(i,:)+Rrand(Xgbest-X(i,:));

[0093] Velocity boundary processing

[0094] for j=1:dim

[0095] if Vec(i, j)<lb(j)||Vec(i,j)> ub(j)

[0096] Vec(i,j)=lb(j)+rand(ub(j)-lb(j));

[0097] end

[0098] end

[0099] Location Updates

[0100] X_new=X(i,:).(1-exp(-Rt))+Vec(i,:);

[0101] Update population

[0102] X(i,:) = X_new;

[0103] end

[0104] Landmark operator (local optimization)

[0105] Eliminate low fitness individuals (retain 50%)

[0106] sorted_idx = sort(fitness);

[0107] X=X(sorted_idx(end / 2+1:end),:);

[0108] Vec=Vec(sorted_idx(end / 2+1:end),:);

[0109] Computing Population Center

[0110] Xcenter=mean(X);

[0111] Move closer to the center

[0112] for i=1:pop_size / 2

[0113] for j=1:dim

[0114] X(i,j)=X(i,j)+0.1rand(Xcenter(j)-X(i,j));

[0115] end

[0116] end

[0117] Update fitness

[0118] for i=1:pop_size / 2

[0119] k=X(i,:);

[0120] I=calculate_current(LoadModel,k);

[0121] fitness(i)=fobj_Imax(I);

[0122] end

[0123] Record global optimality

[0124] [Best_score, best_idx]=min(fitness);

[0125] Best_pos=X(best_idx,:);

[0126] end

[0127] End

[0128] For example, by using a three-phase current sensor to monitor the load terminal current in real time and combining it with the pigeon flock algorithm to optimize phase sequence distribution, load switching can be completed within milliseconds. For example, compared with traditional manual adjustment methods, this system reduces the three-phase imbalance from 25% to less than 8%, significantly improving power supply stability. The pigeon flock algorithm generates a global optimal phase sequence distribution scheme by establishing a branch current matrix and a state parameter matrix. Experiments show that the algorithm can obtain a converged solution within 50 iterations, which is 40% more efficient than traditional genetic algorithms. The system reduces line losses and distribution transformer losses by minimizing three-phase imbalance. For every 1% reduction in three-phase imbalance, distribution transformer losses can be reduced by approximately 0.5%, with an annual energy saving benefit of 12%-18%.

[0129] The neutral current distortion rate is defined as the ratio of the harmonic current RMS value to the fundamental current RMS value. Harmonic monitoring devices are installed at key nodes, such as the static VAR generator outgoing line and the low-voltage side of the distribution transformer, to calculate the neutral current distortion rate in real time. Neutral current signals are collected in real time using electronic transformers, with a sampling frequency of 10 kHz or higher to meet the Nyquist sampling theorem.

[0130] Fast Fourier transform is used to convert the time domain current signal into frequency domain signal, and the fundamental wave (50Hz / 60Hz) and each harmonic component are separated.

[0131] Neutral current distortion is usually accompanied by the following characteristics: the current waveform is biased to one side of the coordinate axis, the phase lags and the fundamental amplitude fluctuates, the non-fault phase current amplitude increases abnormally, and the harmonic current persists during the fault period, which is different from the periodic fluctuations under normal operating conditions.

[0132] An active filter generates counteracting currents based on the harmonic currents obtained through fast Fourier transform analysis. The following steps are used as an example: The neutral current is decomposed into positive-sequence, negative-sequence, and zero-sequence components using a Fourier transform. Since odd-order harmonics (3rd, 5th, 7th, etc.) are predominant, extraction of these components is crucial.

[0133] Neutral current signals are collected using electronic transformers with a sampling frequency of ≥10kHz. Fast Fourier transforms are used to separate the fundamental wave from the harmonic components, calculating the amplitude and phase of each sequence component. Positive- and negative-sequence components corresponding to odd-order harmonics, such as the 3rd, 5th, and 7th, are selected. Compensation currents are calculated for odd-order harmonics, generating currents with equal amplitude and opposite phase to the harmonic currents. Based on the harmonic spectrum data, compensation current commands for each odd-order component are calculated. The compensation current is generated using the IGBT (Insulated Gate Bipolar Transistor) module of the active filter and injected into the neutral line. A three-phase, four-wire active filter is installed on the low-voltage side of the distribution transformer to ensure that the compensation current injection point is close to the harmonic source. Independent positive- and negative-sequence compensation current channels are configured, enabling precise injection through a three-phase, four-wire wiring system. The neutral current is monitored in real time using a zero-sequence current transformer. If the neutral current distortion rate still exceeds the standard, a secondary optimization cycle is triggered.

[0134] The use of electronic mutual inductor (sampling rate ≥ 10kHz) combined with Fourier fast transform spectrum analysis can accurately separate the 3rd, 5th, 7th and other odd harmonic components. Compared with traditional reactive compensation devices.

[0135] The active filter generates a compensating current with equal magnitude and opposite phase to the harmonic current.

[0136] Furthermore, the specific process of obtaining the negative superposition burst value of the distribution energy storage harmonics through analysis and evaluation is as follows: the built-in data acquisition module of the static VAR generator collects data in real time to obtain the modulation ratio of the static VAR generator; the capacitance value of the corresponding distribution line is directly measured using a capacitance measuring instrument; the distribution energy storage management power monitoring module collects the maximum value of the photovoltaic penetration rate and the average value of the output fluctuation frequency of the photovoltaic power generation inverter; the standard modulation ratio of the static VAR generator, the standard value of the distribution line capacitance, the historical average value of the photovoltaic penetration rate and the harmonic fundamental frequency are directly extracted from the distribution energy storage management library of the new power system; the proportion of the static VAR generator modulation ratio and the static VAR generator standard modulation ratio is analyzed, and then the first weight factor of the negative superposition of the distribution energy storage harmonic is used for correction to obtain the first negative component of the distribution energy storage harmonic; the distribution line capacitance is compared with the distribution line capacitance. The proportion of the standard value of the capacitor is analyzed, and then the distribution energy storage harmonics are negatively superimposed on the second weighting factor for correction to obtain the second negative component of the distribution energy storage harmonics; the proportion of the maximum photovoltaic penetration rate and the historical average photovoltaic penetration rate is analyzed, and then the distribution energy storage harmonics are negatively superimposed on the third weighting factor for correction to obtain the third negative component of the distribution energy storage harmonics; the results of the deviation analysis of the harmonic fundamental frequency, the average output fluctuation frequency of the photovoltaic power generation inverter and the harmonic fundamental frequency are analyzed, and then the distribution energy storage harmonics are negatively superimposed on the fourth weighting factor for correction to obtain the fourth negative component of the distribution energy storage harmonics; the first negative component of the distribution energy storage harmonics, the second negative component of the distribution energy storage harmonics and the third negative component of the distribution energy storage harmonics are coupled and analyzed, and then analyzed with the proportion of the negative fourth component of the distribution energy storage harmonics to obtain the sudden value of the distribution energy storage harmonics.

[0137] In this embodiment, the distributed energy storage batteries are numbered, FC0 represents the number of the distributed energy storage batteries, FC represents the total number of distributed energy storage battery numbers, NS0 represents the time monitoring point number of the distributed energy storage battery, and NS represents the total number of distributed energy storage battery time monitoring points.

[0138] It represents the negative superposition burst value of the distribution energy storage harmonics at the NS0th distributed energy storage battery time monitoring point of the FC0th distributed energy storage battery. The negative superposition burst value of the distribution energy storage harmonics is used to quantify the degree of harmonic superposition mutation when the distribution energy storage is subjected to external dynamic compensation reactive power.

[0139]

[0140] Indicates the static VAR generator modulation ratio corresponding to the NS0th distributed energy storage battery time monitoring point of the FC0th distributed energy storage battery. The built-in data acquisition module of the static VAR generator collects the modulation ratio of the pulse width modulation of the static VAR generator in real time. The modulation ratio directly affects the harmonic content. The higher the modulation ratio, the greater the odd harmonics.

[0141] This represents the STATCOM standard modulation ratio corresponding to the NS0th distributed energy storage battery time monitoring point at the FC0th distributed energy storage battery. This STATCOM standard modulation ratio is directly extracted from the new power system's distribution energy storage management library. The standard modulation ratio is a key parameter in STATCOM control and is typically associated with sinusoidal pulse width modulation technology. Through simulation analysis and experimental verification, the STATCOM standard modulation ratio can be obtained.

[0142] The capacitance of the distribution line corresponding to the NS0th distributed energy storage battery time monitoring point of the FC0th distributed energy storage battery is directly measured using a special capacitance measuring instrument, for example, the MOEORW-600F capacitance-type equipment charged detector.

[0143] Indicates the standard value of the distribution line capacitance corresponding to the NS0th distributed energy storage battery time monitoring point of the FC0th distributed energy storage battery. The standard value of the distribution line capacitance is directly extracted from the distribution energy storage management library of the new power system and is used to indicate the standard value of the distribution line capacitance corresponding to the distributed energy storage battery when operating at the rated charge and discharge efficiency.

[0144] This represents the maximum photovoltaic penetration rate corresponding to the NS0th distributed energy storage battery time monitoring point of the FC0th distributed energy storage battery. The photovoltaic penetration rate generally refers to the ratio of photovoltaic power generation capacity to the total grid capacity, so it can be collected at the grid access point. In the distribution station, the total amount of connected photovoltaic power generation and the total grid load can be monitored to calculate the penetration rate. A power quality analyzer is used to monitor the photovoltaic power generation power and the total grid power in real time. In the distribution energy storage management power monitoring module, different distributed energy storage batteries generally correspond to at least one distributed photovoltaic power generation network, and different photovoltaic penetration rates are collected separately. The photovoltaic penetration rate changes over a period of time, and the maximum photovoltaic penetration rate is obtained.

[0145] It represents the historical average photovoltaic penetration rate corresponding to the NS0th distributed energy storage battery time monitoring point of the FC0th distributed energy storage battery. The historical average photovoltaic penetration rate is directly extracted from the distribution energy storage management library of the new power system. The historical average photovoltaic penetration rate is used to represent the average value of the proportion of photovoltaic power generation capacity to the total capacity of the power grid in historical data.

[0146] The output power of the photovoltaic inverter corresponding to different distributed energy storage battery time monitoring points of different distributed energy storage batteries is recorded in real time, and the difference between the output power of the photovoltaic inverter under a certain sampling and the output power of the photovoltaic inverter under the previous sampling is recorded as the photovoltaic inverter output power fluctuation difference. If the photovoltaic inverter output power fluctuation difference is equal to or greater than the photovoltaic inverter output power threshold, then the photovoltaic inverter output fluctuation is recorded once, and the number of photovoltaic inverter output fluctuations within a period of time is obtained.

[0147] It represents the average value of the output fluctuation frequency of the photovoltaic inverter corresponding to the FC0th distributed energy storage battery. The average value of the output fluctuation frequency of the photovoltaic inverter is used to represent the average level of the number of output fluctuations of the photovoltaic inverter within the corresponding monitoring time.

[0148] When the average value of the output fluctuation frequency of the photovoltaic inverter is close to the harmonic fundamental frequency, the risk of harmonic resonance increases.

[0149] JBJP represents the harmonic fundamental frequency, which is generally 50 Hz and is directly extracted from the distribution energy storage management library of the new power system.

[0150] Indicates the first weight factor of the negative superposition of the distribution energy storage harmonic corresponding to the FC0th distributed energy storage battery; Indicates the negative superposition of the second weight factor of the distribution energy storage harmonic corresponding to the FC0th distributed energy storage battery; Indicates the negative superposition of the third weight factor of the distribution energy storage harmonic corresponding to the FC0th distributed energy storage battery; The fourth weighting factor represents the negative superposition of the distribution energy storage harmonics corresponding to the FC0th distributed energy storage battery. The coupling effect of the distribution network impedance on the four weighting factors is evident. The modulation ratio deviation and capacitance deviation are related to impedance. The modulation ratio of the static VAR generator (SVG) directly affects its output impedance characteristics: the higher the modulation ratio, the lower the SVG equivalent impedance, and the more significant the harmonic current amplification effect. Furthermore, deviations from the standard distribution line capacitance lead to line impedance mismatch, further amplifying harmonic voltages. The combined effect of these factors can increase the total harmonic distortion by over 30%. The impedance dynamic response to fluctuations in PV penetration: Increasing PV penetration changes system load characteristics, leading to nonlinear changes in distribution line impedance. When penetration fluctuates by more than 20%, the effective value of the line impedance can increase by 15%-20%, increasing the risk of harmonic resonance. At this point, the inverter's high-frequency switching (the fourth weighting factor) creates harmonic resonance conditions with the system impedance. Inverter frequency deviation also affects impedance matching: inverter output frequency deviation can shift the resonance point with the distribution network impedance. For example, when the inverter frequency approaches 50 Hz ± 5%, if the system impedance is not adjusted synchronously, subsynchronous resonance above 200 Hz may occur. In this case, an active power filter must inject a compensating current, requiring a millisecond-level response speed. Due to the impedance constraints of the equipment's tolerance limit, when the total harmonic distortion exceeds 8%, the impedance temperature rise rate of equipment such as transformers increases significantly, potentially triggering insulation breakdown or circuit breaker malfunction.

[0151] The synergistic influence of multiple factors on weights and the coupling relationship of the four weight factors are exemplified as follows: 0.45, 0.30, 0.15, and 0.10. The above examples are specific values of the four weight factors, indicating the ranking of impedance sensitivity to modulation ratio, capacitance deviation, photovoltaic penetration rate, and inverter frequency. A mapping relationship is constructed between the corresponding line impedance of the distributed energy storage battery and the first weight factor of the negative superposition of distribution energy storage harmonics, the second weight factor of the negative superposition of distribution energy storage harmonics, the third weight factor of the negative superposition of distribution energy storage harmonics, and the fourth weight factor of the negative superposition of distribution energy storage harmonics. The real-time line impedance is input to obtain the corresponding weight factor.

[0152] Furthermore, the three-phase unbalanced harmonics are adjusted based on the comparison and analysis results of the negative superposition burst value of the distribution energy storage harmonics. The specific process is as follows: if the negative superposition burst value of the distribution energy storage harmonics is less than or equal to the negative superposition burst value threshold of the distribution energy storage harmonics, the distribution energy storage junction temperature heat dissipation management self-inspection adjustment is performed based on the comparison and analysis results of the energy storage battery junction temperature heat dissipation monitoring; if the negative superposition burst value of the distribution energy storage harmonics is greater than the negative superposition burst value threshold of the distribution energy storage harmonics, the negative superposition burst value of the distribution energy storage harmonics is subtracted from the negative superposition burst value of the distribution energy storage harmonics to obtain the negative superposition burst difference of the distribution energy storage harmonics, and the harmonics of the line corresponding to the distributed energy storage battery are suppressed based on the negative superposition burst difference of the distribution energy storage harmonics.

[0153] Furthermore, the distributed energy storage battery suppresses harmonics on the corresponding line, specifically including: reducing the standard modulation ratio of the static VAR generator corresponding to the distributed energy storage battery according to the negative superposition burst difference of the distribution energy storage harmonics; starting a predefined band-stop filter and reducing the quality factor of the predefined band-stop filter according to the negative superposition burst difference of the distribution energy storage harmonics; and increasing the impedance rate of the series reactor at the end of the line corresponding to the distributed energy storage battery according to the negative superposition burst difference of the distribution energy storage harmonics.

[0154] In this embodiment, there is a specific mapping relationship between the negative superposition burst difference of the distribution energy storage harmonics and the corresponding adjustment method, which is directly extracted from the distribution energy storage management library of the new power system and can be set through expert prior knowledge or experimental data.

[0155] The standard modulation ratio of the static VAR generator corresponding to the distributed energy storage battery is reduced according to the difference in the negative superposition burst of the distribution energy storage harmonics. For example, if the difference in the negative superposition burst of the distribution energy storage harmonics is 0.8, the modulation ratio is reduced (such as from 0.9 to 0.85) to reduce harmonic injection.

[0156] Start the predefined band-stop filter and reduce its quality factor based on the difference in the negative superposition of distribution energy storage harmonics. For example, if the difference in the negative superposition of distribution energy storage harmonics is 0.8, if the initial value of the feedback resistor of the predefined band-stop filter is 10 kΩ, reduce the feedback resistor to 5 kΩ; if the initial value of the feedback capacitor of the predefined band-stop filter is 10 nF, increase it to 20 nF to reduce the quality factor.

[0157] According to the difference in the sudden negative superposition of distribution energy storage harmonics, the impedance rate of the series reactor is increased at the end of the distributed energy storage battery corresponding line. For example, if the difference in the sudden negative superposition of distribution energy storage harmonics is 0.8, the series reactor is increased at the end of the long line (for example, the impedance rate is increased by 0.15%).

[0158] Furthermore, the distribution energy storage junction temperature heat dissipation management self-inspection adjustment is performed based on the comparative analysis results of the energy storage battery junction temperature heat dissipation monitoring, specifically including: obtaining the energy storage battery junction temperature heat dissipation detection difference value based on the energy storage battery junction temperature heat dissipation monitoring data; if the energy storage battery junction temperature heat dissipation detection difference value is less than the energy storage battery junction temperature heat dissipation detection difference threshold, no adjustment is made, all data is uploaded to the visualization port and reported as safe and without alarm; if the energy storage battery junction temperature heat dissipation detection difference value is equal to or greater than the energy storage battery junction temperature heat dissipation detection difference threshold, different heat dissipation solutions are set for the corresponding distributed energy storage battery in the local junction temperature area according to the energy storage battery junction temperature heat dissipation detection difference value: if the energy storage battery junction temperature heat dissipation detection difference value is greater than the energy storage battery junction temperature heat dissipation detection difference threshold, ... If the outlier value is less than the first heat dissipation threshold, the corresponding fan speed is increased according to the energy storage battery junction temperature heat dissipation detection difference value; if the energy storage battery junction temperature heat dissipation detection difference value is equal to or greater than the first heat dissipation threshold and less than the second heat dissipation threshold, the corresponding fan speed is increased according to the energy storage battery junction temperature heat dissipation detection difference value and the flow rate in the local junction temperature area of the distributed energy storage battery corresponding to the energy storage battery liquid cooling system is increased according to the energy storage battery junction temperature heat dissipation detection difference value; if the energy storage battery junction temperature heat dissipation detection difference value is equal to or greater than the third heat dissipation threshold, the fan speed is increased to the maximum value, the flow rate in the local junction temperature area of the distributed energy storage battery corresponding to the energy storage battery liquid cooling system is increased to the maximum value, and an alarm is issued.

[0159] In this embodiment, the heat dissipation level is divided according to the junction temperature difference value. For example: Difference value ≤ 15%: start the intelligent fan speed regulation (speed increase by 30%). Difference value 15%-30%: activate the liquid cooling system (flow rate increase by 50%). Difference value > 30%: trigger the series inductor impedance rate to increase (such as an increase of 0.25%). The fan speed is controlled by pulse width modulation, and the response time is ≤ 50ms. A microchannel liquid cooling plate is embedded in the local junction temperature area of the distributed energy storage battery, and the thermal conductivity coefficient is ≥ 1500W / m·K.

[0160] Furthermore, the junction temperature heat dissipation detection difference value of the energy storage battery is obtained based on the analysis of the energy storage battery junction temperature heat dissipation monitoring data. The specific process is: by setting a shunt resistor on the corresponding circuit loop of the distributed energy storage battery, the shunt distributed energy storage battery charge and discharge current is obtained by collecting and analyzing the low-resistance resistor; by embedding the internal resistance collection unit at a predefined position inside the distributed energy storage battery module, the distributed energy storage battery internal resistance is collected; the distributed energy storage battery charge and discharge current standard value, distributed energy storage battery internal resistance standard value, distributed energy storage battery aging correction factor and energy storage battery junction temperature monitoring time period are directly extracted from the distribution energy storage management library of the new power system; the negative superposition burst value of the distribution energy storage harmonic is corrected by the first weight factor of the energy storage battery junction temperature heat dissipation to obtain the first component of the energy storage battery junction temperature heat dissipation detection; the shunt distributed energy storage battery charge and discharge current is obtained. , a coupling analysis is performed on the distributed energy storage battery internal resistance and the energy storage battery junction temperature monitoring time period, and then a proportion analysis is performed on the coupling analysis results of the distributed energy storage battery charging and discharging current standard value and the distributed energy storage battery internal resistance standard value, and the distributed energy storage battery aging correction factor is used to correct it, and then the energy storage battery junction temperature heat dissipation second weight factor is used to correct it to obtain the second component of the energy storage battery junction temperature heat dissipation detection; the first component of the energy storage battery junction temperature heat dissipation detection is coupled with the second component of the energy storage battery junction temperature heat dissipation detection, and then the distributed energy storage battery aging correction factor is used to correct it to obtain the energy storage battery junction temperature heat dissipation detection value; the energy storage battery junction temperature heat dissipation detection value of the distributed energy storage battery time monitoring point is analyzed for difference with the energy storage battery junction temperature heat dissipation detection value of the previous distributed energy storage battery time monitoring point to obtain the energy storage battery junction temperature heat dissipation detection difference value.

[0161] In this example, the internal resistance of a lithium battery increases by 300% in a -20°C winter environment. Continuous discharge causes local temperatures to exceed 60°C. Simultaneously, the harmonic currents of the static VAR generator trigger misjudgments in typical battery management systems, accelerating thermal runaway. For example, at a pastoral energy storage power station, the combined effects of harmonics and low temperatures caused the battery temperature to rise sharply from 58°C to 82°C, triggering a fire.

[0162] The local junction temperature areas in the distributed energy storage battery are numbered, JW0 represents the number of local junction temperature areas in the distributed energy storage battery, and JW represents the total number of local junction temperature areas in the distributed energy storage battery.

[0163] It represents the negative superposition burst value of the distribution energy storage harmonics at the NS0th distributed energy storage battery time monitoring point of the FC0th distributed energy storage battery.

[0164] The energy storage battery junction temperature heat dissipation detection value of the NS0th distributed energy storage battery time monitoring point in the local junction temperature area of the JW0th distributed energy storage battery of the FC0th distributed energy storage battery is represented. The energy storage battery junction temperature heat dissipation detection value is used to quantify the risk level of the energy storage battery junction temperature surge caused by the harmonic superposition when the distribution energy storage is subjected to external dynamic compensation reactive power.

[0165]

[0166] It represents the difference value of the energy storage battery junction temperature heat dissipation detection at the NS0+1th distributed energy storage battery time monitoring point in the local junction temperature area of the FC0th distributed energy storage battery and the JW0th distributed energy storage battery.

[0167] T represents the time interval between two data monitoring collections, which is the energy storage battery junction temperature monitoring time period.

[0168] It represents the distributed energy storage battery charge and discharge current of the NS0th distributed energy storage battery time monitoring point in the local junction temperature area of the JW0th distributed energy storage battery of the FC0th distributed energy storage battery. By setting a shunt resistor on the corresponding circuit loop of the distributed energy storage battery, the shunt distributed energy storage battery charge and discharge current is obtained by collecting and analyzing the low-resistance resistor.

[0169] It represents the standard value of the distributed energy storage battery charge and discharge current corresponding to the FC0th distributed energy storage battery. The standard value of the distributed energy storage battery charge and discharge current is directly extracted from the distribution energy storage management library of the new power system.

[0170] The distributed energy storage battery internal resistance representing the NS0th distributed energy storage battery time monitoring point in the local junction temperature area of the JW0th distributed energy storage battery of the FC0th distributed energy storage battery is embedded in NTC thermistors at key positions inside the distributed energy storage battery module (such as the contact between the electrode and the current collector, and the electrolyte infiltration area). The distributed energy storage battery internal resistance can be collected and converted in real time through the NTC thermistor.

[0171] It represents the standard value of the distributed energy storage battery internal resistance corresponding to the FC0th distributed energy storage battery. The standard value of the distributed energy storage battery internal resistance is directly extracted from the distribution energy storage management library of the new power system.

[0172] It represents the aging correction factor of the distributed energy storage battery FC0. When the harmonic current is large, the junction temperature of the static VAR generator power device will increase by 20°C, and the distributed energy storage battery (lithium batteries will age faster at high temperatures > 45°C), which will shorten the life of both by more than 50%).

[0173] Example of steps for obtaining the aging correction factor of distributed energy storage batteries:

[0174] Normal operating conditions: record the junction temperature of the STATCOM power device (e.g., 70°C), the operating temperature of the lithium battery (e.g., 25°C), and the corresponding attenuation rate (about 6% / year for the STATCOM and about 10% / year for the lithium battery).

[0175] Harmonic operating conditions: Simulating harmonic current (THD > 15%) causes the STATCOM junction temperature to rise by 20°C (to 90°C) and the lithium battery temperature to 45°C. The actual attenuation rates are then measured (approximately 12% / year for the STATCOM and 18% / year for the lithium battery).

[0176] Combining temperature and attenuation rate data, we calculated the accelerated aging effects in harmonic environments. For example, at 45°C, the attenuation rate of lithium batteries rises to 18% per year, an 80% increase compared to normal operating conditions. This corresponds to an aging correction factor of 1.8 for distributed energy storage batteries.

[0177] The aging correction factor for distributed energy storage batteries is directly calculated by taking the ratio of the mean time to failure under normal and harmonic operating conditions. For example, the normal mean time to failure for a static VAR generator is 16.7 years, which is shortened to 8.3 years under harmonic conditions, resulting in a distributed energy storage battery aging correction factor of 2.0.

[0178] If high temperature and harmonics exist at the same time, the comprehensive correction factor is the product of the distributed energy storage battery aging correction factors of each factor (for example, the high temperature distributed energy storage battery aging correction factor is equal to 1.8, the harmonic distributed energy storage battery aging correction factor is equal to 1.2, and the distributed energy storage battery aging correction factor is equal to 2.16).

[0179] A mapping relationship between the distributed energy storage battery aging correction factor and high temperature and harmonics is constructed, resulting in a table of mappings between the total distributed energy storage battery aging correction factor and high temperature and harmonics. The real-time distributed energy storage battery ambient temperature and the corresponding line harmonics are input to obtain the corresponding distributed energy storage battery aging correction factor. The distributed energy storage battery aging correction factor is directly extracted from the new power system's distribution energy storage management library.

[0180] Represents the first weight factor of the energy storage battery junction temperature heat dissipation corresponding to the FC0th distributed energy storage battery; Represents the second weighting factor for the junction temperature heat dissipation of the energy storage battery corresponding to the FC0th distributed energy storage battery. In the energy storage battery junction temperature heat dissipation test difference analysis, ambient temperature is a key parameter that directly affects the first component (charge and discharge current ratio analysis) and the second component (internal resistance ratio analysis) of the energy storage battery junction temperature heat dissipation test. Ambient temperature indirectly changes the charge and discharge current by affecting the battery's internal resistance. For example, low temperatures (such as -20°C) can cause a significant increase in the internal resistance of lithium batteries (e.g., by 300%), while high temperatures (>45°C) accelerate cell aging, further increasing the internal resistance. Changes in internal resistance directly affect the distribution and loss of charge and discharge currents, thereby affecting the calculated results of the first component. Ambient temperature is the core driving factor of internal resistance changes. At low temperatures, the electrolyte viscosity of lithium batteries increases, hindering ion migration and causing a sharp increase in internal resistance. At high temperatures, SEI film decomposition and side reactions intensify, similarly increasing internal resistance. Real-time changes in internal resistance directly form the basis for the second component. The ambient temperature participates in the coupling analysis by affecting the negative superposition burst value of the power distribution energy storage harmonics (such as harmonic current causing the junction temperature of the power device to rise) [User Description]. At the same time, temperature is an important input parameter of the aging correction factor. The accelerated aging effect under high temperature and harmonic environment needs to be corrected through the temperature-attenuation rate mapping relationship. In summary, the ambient temperature directly changes the internal resistance, indirectly affects the charge and discharge current distribution, and participates in the harmonic-aging coupling correction, becoming a core parameter that acts on two weighting factors at the same time. Construct a mapping relationship between the ambient temperature and the first weighting factor of the energy storage battery junction temperature heat dissipation and the second weighting factor of the energy storage battery junction temperature heat dissipation; input the real-time ambient temperature to obtain the corresponding first weighting factor of the energy storage battery junction temperature heat dissipation and the second weighting factor of the energy storage battery junction temperature heat dissipation.

[0181] like Figure 2 As shown, it is a flow chart of the distribution energy storage management method for a new power system provided in an embodiment of the present application. The distribution energy storage management method for a new power system provided in an embodiment of the present application is characterized in that it includes the following steps: the distribution energy storage management performs self-inspection on the distributed energy storage battery and the corresponding terminal voltage, and performs self-inspection adjustment of the distribution energy storage management according to the self-inspection results; the distribution energy storage management performs three-phase imbalance monitoring, and performs self-inspection and adjustment of the distribution energy storage three-phase imbalance management according to the comparative analysis results of the three-phase imbalance monitoring; the distribution energy storage management performs junction temperature heat dissipation monitoring on the energy storage battery, and performs self-inspection and adjustment of the distribution energy storage junction temperature heat dissipation management according to the comparative analysis results of the energy storage battery junction temperature heat dissipation monitoring.

[0182] The power distribution and energy storage management device for a new power system provided in an embodiment of the present application is used to store a program, and when the program is executed by a processor, it implements a power distribution and energy storage management system for the new power system.

[0183] It will be understood by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0184] The present invention is described with reference to flowcharts and / or block diagrams of systems, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0185] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0186] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0187] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0188] Obviously, those skilled in the art may make various modifications and variations to the present invention without departing from the spirit and scope of the present invention. Thus, if such modifications and variations fall within the scope of the claims and their equivalents, the present invention is intended to include such modifications and variations.

Claims

1. A power distribution and energy storage management system for a new power system, characterized in that: include: Distribution energy storage management self-test adjustment module, three-phase imbalance comparison analysis adjustment module, and energy storage battery junction temperature heat dissipation comparison analysis adjustment module; The power distribution energy storage management self-test adjustment module is used for the power distribution energy storage management to self-test the distributed energy storage batteries and the corresponding terminal voltages, and to perform self-test adjustments on the power distribution energy storage management according to the self-test results; The three-phase imbalance comparison analysis and adjustment module is used for three-phase imbalance monitoring in distribution energy storage management, and performs self-checking and adjustment of the three-phase imbalance management of distribution energy storage according to the comparison and analysis results of the three-phase imbalance monitoring; The energy storage battery junction temperature heat dissipation comparison analysis and adjustment module is used to perform distribution energy storage management on energy storage battery junction temperature heat dissipation monitoring, and perform distribution energy storage junction temperature heat dissipation management self-inspection adjustment based on the energy storage battery junction temperature heat dissipation monitoring comparison analysis results.

2. The power distribution and energy storage management system for a new power system according to claim 1, characterized in that: The specific process of performing self-inspection and adjustment of distribution energy storage management according to the self-inspection results is as follows: By collecting the three-phase load terminal voltage connected to the distributed energy storage battery, the three-phase load terminal voltage of the distributed energy storage battery is obtained; The temperature of the local area inside the distributed energy storage battery is obtained through sampling and collection by the temperature sensor built into the distributed energy storage battery; If the three-phase load terminal voltage of the distributed energy storage battery is analyzed with the three-phase load terminal standard voltage, the three-phase load terminal voltage difference of the distributed energy storage battery is obtained; If the voltage difference between the three-phase load terminals of the distributed energy storage battery is less than the voltage difference threshold of the three-phase load terminals of the distributed energy storage battery, no adjustment will be made; When the voltage difference between the three-phase load terminals of the distributed energy storage battery is equal to or greater than the voltage difference threshold of the three-phase load terminals of the distributed energy storage battery, the three-phase load terminals connected to the corresponding distributed energy storage battery will start the wide-range voltage regulation distribution device and the intelligent capacity regulation device to start the static VAR generator module of the energy storage system; If the temperature of the local area inside the distributed energy storage battery is lower than the temperature threshold of the local area inside the distributed energy storage battery, no adjustment will be made; If the temperature of a local area inside the distributed energy storage battery is equal to or greater than the temperature threshold of the local area inside the distributed energy storage battery, the fast fuse is activated in the series circuit of the distributed energy storage battery group.

3. The power distribution and energy storage management system for a new power system according to claim 1, characterized in that: The specific process of performing self-checking and adjustment of the three-phase imbalance management of distribution energy storage based on the comparative analysis results of the three-phase imbalance monitoring is as follows: The three-phase current of the three-phase load terminal connected to the distributed energy storage battery is collected by a three-phase current sensor to obtain the three-phase current imbalance; If the three-phase current imbalance is equal to or greater than the three-phase current imbalance threshold, the control master station will control the corresponding load phase sequence switching through the intelligent circuit breaker, and use the pigeon flock algorithm to optimize the load distribution plan to minimize the three-phase imbalance; If the three-phase current imbalance is less than the three-phase current imbalance threshold, the neutral line current signal is collected in real time through an electronic transformer, and the neutral line current distortion rate is obtained through fast Fourier transform analysis. If the neutral line current distortion rate is equal to or greater than the neutral line current distortion threshold, an active filter is used to generate a reverse offset current based on the harmonic current obtained through fast Fourier transform analysis. If the neutral line current distortion rate is less than the neutral line current distortion threshold, the negative superposition burst value of the distribution energy storage harmonics is obtained through analysis and evaluation. The three-phase unbalanced harmonic adjustment is performed by comparing the analysis results of the negative superposition burst value of the distribution energy storage harmonics.

4. The power distribution and energy storage management system for a new power system according to claim 3, characterized in that: The specific process of obtaining the negative superposition burst value of distribution energy storage harmonics through analysis and evaluation is as follows: The static VAR generator's built-in data acquisition module collects data in real time to obtain the static VAR generator's modulation ratio; Use capacitance measuring instruments to directly measure the capacitance value of the corresponding distribution line; The power monitoring module of the distribution energy storage management collects the maximum value of photovoltaic penetration rate and the average value of the output fluctuation frequency of photovoltaic power generation inverter; Directly extract the standard modulation ratio of the static VAR generator, the standard value of the distribution line capacitance, the historical average value of the photovoltaic penetration rate and the fundamental harmonic frequency from the distribution energy storage management library of the new power system; The ratio of the static VAR generator modulation ratio to the static VAR generator standard modulation ratio is analyzed, and then the first weight factor is added to the negative distribution energy storage harmonics to correct them, thereby obtaining the first negative component of the distribution energy storage harmonics. The proportion of the distribution line capacitance to the standard value of the distribution line capacitance is analyzed, and then the second weight factor is added to the negative distribution energy storage harmonics to correct them, thereby obtaining the second negative component of the distribution energy storage harmonics. The ratio of the maximum photovoltaic penetration rate to the historical average photovoltaic penetration rate is analyzed, and then the negative third component of the distribution energy storage harmonics is obtained by adding the third weight factor to the negative distribution energy storage harmonics. The results of the deviation analysis between the harmonic fundamental frequency, the average value of the photovoltaic inverter output fluctuation frequency, and the harmonic fundamental frequency are analyzed for proportion, and then the fourth weight factor is added to the negative distribution energy storage harmonics to correct them, thereby obtaining the negative fourth component of the distribution energy storage harmonics. The negative superposition burst value of the distribution energy storage harmonics is obtained by coupling analysis of the first negative component of the distribution energy storage harmonics, the second negative component of the distribution energy storage harmonics, and the third negative component of the distribution energy storage harmonics, and then analyzing the proportion of the fourth negative component of the distribution energy storage harmonics.

5. The power distribution and energy storage management system for a new power system according to claim 3, characterized in that: The three-phase unbalanced harmonic adjustment is performed by comparing and analyzing the results of the negative superposition burst value of the distribution energy storage harmonics. The specific process is as follows: If the distribution energy storage harmonic negative superposition burst value is less than or equal to the distribution energy storage harmonic negative superposition burst value threshold, the distribution energy storage junction temperature heat dissipation management self-check adjustment is performed based on the energy storage battery junction temperature heat dissipation monitoring comparison analysis results; If the negative superposition burst value of the distribution energy storage harmonics is greater than the negative superposition burst value threshold of the distribution energy storage harmonics, the negative superposition burst value of the distribution energy storage harmonics is subtracted from the negative superposition burst value of the distribution energy storage harmonics to obtain the negative superposition burst difference of the distribution energy storage harmonics. Harmonics are suppressed on the line corresponding to the distributed energy storage battery based on the negative superposition burst difference of the distribution energy storage harmonics.

6. The power distribution and energy storage management system for a new power system according to claim 5, characterized in that: The distributed energy storage battery corresponding to the line suppresses harmonics, specifically including: Reduce the standard modulation ratio of the static VAR generator corresponding to the distributed energy storage battery according to the difference in the negative superposition of the distribution energy storage harmonics; Start the predefined band-stop filter and reduce the quality factor of the predefined band-stop filter according to the difference of the negative superposition burst of the distribution energy storage harmonics; According to the sudden difference of the negative superposition of distribution energy storage harmonics, the impedance rate of the series reactor is increased at the end of the line corresponding to the distributed energy storage battery.

7. The power distribution and energy storage management system for a new power system according to claim 5, characterized in that: The self-check adjustment of the distribution energy storage junction temperature heat dissipation management based on the comparative analysis results of the energy storage battery junction temperature heat dissipation monitoring specifically includes: The difference value of the energy storage battery junction temperature heat dissipation detection is obtained based on the analysis of the energy storage battery junction temperature heat dissipation monitoring data; If the difference value of the energy storage battery junction temperature heat dissipation detection is less than the energy storage battery junction temperature heat dissipation detection difference threshold, no adjustment is made, all data is uploaded to the visualization port and a safety and no alarm is reported; If the energy storage battery junction temperature heat dissipation detection difference value is equal to or greater than the energy storage battery junction temperature heat dissipation detection difference threshold, different heat dissipation solutions are set for the corresponding distributed energy storage battery in the local junction temperature area according to the energy storage battery junction temperature heat dissipation detection difference value: If the difference value of the heat dissipation detection of the energy storage battery junction temperature is less than the first heat dissipation threshold, the corresponding fan speed is increased according to the difference value of the heat dissipation detection of the energy storage battery junction temperature; If the energy storage battery junction temperature heat dissipation detection difference value is equal to or greater than the first heat dissipation threshold and less than the second heat dissipation threshold, then increase the corresponding fan speed according to the energy storage battery junction temperature heat dissipation detection difference value and increase the flow rate in the local junction temperature area of the distributed energy storage battery corresponding to the energy storage battery liquid cooling system according to the energy storage battery junction temperature heat dissipation detection difference value; If the difference value of the energy storage battery junction temperature heat dissipation detection is equal to or greater than the third heat dissipation threshold, the fan speed is increased to the maximum value, the flow rate in the local junction temperature area of the distributed energy storage battery corresponding to the energy storage battery liquid cooling system is increased to the maximum value, and an alarm is issued.

8. The power distribution and energy storage management system for a new power system according to claim 7, characterized in that: The specific process of obtaining the energy storage battery junction temperature heat dissipation detection difference value based on the energy storage battery junction temperature heat dissipation monitoring data is as follows: By setting a shunt resistor on the corresponding circuit loop of the distributed energy storage battery, the charging and discharging current of the shunt distributed energy storage battery is obtained through low-resistance resistance collection and analysis; By embedding an internal resistance acquisition unit at a predefined position inside the distributed energy storage battery module, the internal resistance of the distributed energy storage battery is acquired; Directly extract the distributed energy storage battery charge and discharge current standard value, distributed energy storage battery internal resistance standard value, distributed energy storage battery aging correction factor and energy storage battery junction temperature monitoring time period from the new power system distribution energy storage management library; The negative superposition burst value of the distribution energy storage harmonics is corrected by the first weight factor of the energy storage battery junction temperature heat dissipation to obtain the first component of the energy storage battery junction temperature heat dissipation detection; The charge and discharge current, internal resistance, and junction temperature monitoring time period of the distributed energy storage battery are coupled and analyzed. The results of the coupled analysis are then analyzed for a certain percentage with the standard values of the charge and discharge current and internal resistance of the distributed energy storage battery. Corrections are then made using the distributed energy storage battery aging correction factor, and then corrected using the second weighting factor for the junction temperature heat dissipation of the energy storage battery, to obtain the second component of the junction temperature heat dissipation detection of the energy storage battery. The first component of the energy storage battery junction temperature heat dissipation detection and the second component of the energy storage battery junction temperature heat dissipation detection are coupled and analyzed, and then corrected by the distributed energy storage battery aging correction factor to obtain the energy storage battery junction temperature heat dissipation detection value; A difference analysis is performed on the energy storage battery junction temperature heat dissipation detection value at the distributed energy storage battery time monitoring point and the energy storage battery junction temperature heat dissipation detection value at the previous distributed energy storage battery time monitoring point to obtain the energy storage battery junction temperature heat dissipation detection difference value.

9. A distribution energy storage management method for a new power system, characterized in that: The following steps are involved: The distribution energy storage management performs self-inspection on the distributed energy storage batteries and the corresponding terminal voltages, and makes self-inspection adjustments to the distribution energy storage management based on the self-inspection results; For the three-phase imbalance monitoring of distribution energy storage management, the three-phase imbalance management self-inspection and adjustment of distribution energy storage is carried out based on the comparative analysis results of the three-phase imbalance monitoring; For distribution energy storage management, the junction temperature and heat dissipation monitoring of the energy storage battery is carried out, and the distribution energy storage junction temperature and heat dissipation management self-inspection and adjustment are carried out according to the comparative analysis results of the energy storage battery junction temperature and heat dissipation monitoring.

10. A power distribution and energy storage management device for a new power system, configured to store a program, wherein when the program is executed by a processor, the power distribution and energy storage management system for the new power system according to any one of claims 1 to 8 is implemented.

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