An intelligent coordination control method among wind, light, diesel and storage multi-energy sources

Abstract

This invention relates to the field of energy coordination and control technology, and discloses an intelligent coordination and control method among wind, solar, diesel, and energy storage systems. The method includes: achieving refined dynamic control of the energy safety boundary of the energy storage system and significantly extending equipment cycle life through segmented SOC strategic reserves and deep cycle fatigue management technology; achieving efficient cascade utilization of thermal resources and comprehensive prevention and control of thermal runaway risks through thermal-electric coupling safety domain construction and cluster thermal load spatiotemporal migration optimization technology; and achieving adaptive optimization adjustment of renewable energy output uncertainty and long-term safe, stable, and economical operation of the multi-energy system through ultra-short-term wind and solar power prediction-driven thermal charging risk pre-scheduling and multi-timescale collaborative closed-loop feedback control technology.

Description

Technical Field

[0001] This invention relates to the field of energy coordination and control technology, specifically to an intelligent coordination and control method among multiple energy sources including wind, solar, diesel, and storage. Background Technology

[0002] The proportion of renewable energy sources, such as wind and solar power, in the power system continues to increase. However, wind and solar power generation are characterized by significant intermittency, volatility, and randomness, leading to a surge in grid peak-shaving pressure and increasingly prominent challenges in renewable energy consumption. Meanwhile, remote areas or island-type power supply systems still heavily rely on diesel generator sets (diesel) as the main power source, resulting in problems such as high fuel costs, large emissions, and low operating efficiency. Against this backdrop, constructing a wind-solar-diesel-storage multi-energy complementary system that integrates wind power generation, solar power generation, energy storage systems (storage), and diesel power generation has become a key path to improve energy utilization efficiency, ensure power supply reliability, and reduce carbon emissions.

[0003] Existing intelligent coordination and control methods among wind, solar, diesel, and energy storage systems are insufficient to address the energy management imbalance caused by the superposition of wind and solar resource prediction errors and energy storage state estimation errors. They cannot achieve a dynamic balance between economy, reliability, and environmental protection. They are prone to loss of regulation capacity or accelerated equipment aging due to over-reliance on energy storage or forced consumption of green electricity. They fail to establish a coupled safety boundary between energy storage electrical energy and thermal state, ignore the nonlinear constraints of temperature on available power, leading to the risk of sudden power drop at low temperatures or thermal runaway at high temperatures. They lack cluster collaborative optimization of the thermal state of multiple energy storage modules, making it difficult to cope with the waste of overall regulation capacity caused by uneven heating and cooling. Furthermore, they are disconnected from day-ahead planning and real-time control, and cannot make timely corrections to decisions based on ultra-short-term forecasts, resulting in insufficient safety margin or economic losses. Their practicality has certain limitations. Summary of the Invention

[0004] This invention provides an intelligent coordinated control method among multiple energy sources, including wind, solar, diesel, and storage, to facilitate the resolution of the problems mentioned in the background art.

[0005] This invention provides the following technical solution: an intelligent coordinated control method among wind, solar, diesel, and energy storage, comprising: performing multi-source parameter acquisition and validity determination, acquiring key data, and determining whether the key data is complete and valid; performing SOC strategic reserve compliance determination, checking whether the strategic layer SOC reserve meets the corresponding threshold based on the uncertainty level of wind and solar forecasts; performing deep cycle fatigue determination, checking whether the energy storage deep charge-discharge cycle counter for the past 24 hours exceeds the set threshold; performing single-compartment thermal boundary safety determination, checking whether the temperature of each energy storage compartment is within the optimal electrochemical range of 15-35℃; and performing heat accumulation and pre-regulation determination, checking the heat... Check if the cumulative counter exceeds the limit and whether the pre-control measures for extreme weather are in place; perform cluster thermal distribution balance determination, and check whether there is thermal imbalance within the cluster based on the thermal health index of each module; perform thermal charging risk pre-judgment and scheduling, and check whether there will be a situation where photovoltaic power generation requires high-power energy storage charging and the current temperature of each module is too high, based on the wind and solar power output forecast for the next 2 hours; perform control command generation and closed-loop feedback, and generate the final control command by combining the results of the above seven steps. After execution, feed back the actual SOC, temperature, power, and thermal health index data to the multi-source parameter acquisition and validity determination, and start the next round of progressive judgment cycle.

[0006] The present invention has the following beneficial effects:

[0007] 1. By fusing multi-source data to obtain wind and solar forecasts, energy storage status, and backup resource information, a data validity assessment mechanism is established. Based on forecast uncertainty, energy storage capacity is dynamically divided into operational and strategic layers to ensure sufficient backup in case of emergencies. Simultaneously, the historical cycle depth of energy storage is monitored to identify cycle fatigue risks. Overused energy storage is forced into a repair period to prevent loss of regulation capacity due to energy overdraft. This ensures that the energy safety boundary of the energy storage system remains within a controllable range, achieving precise control and dynamic reserve adjustment of energy storage status. This effectively avoids loss of regulation capacity caused by over-discharge or deep cycle fatigue, significantly improving the safety resilience of microgrids in the face of sudden power fluctuations.

[0008] 2. Establish real-time temperature monitoring and multi-level thermal boundary determination for single-compartment storage. Initiate multi-energy collaborative preheating or derating cooling for low-temperature power limitation and high-temperature thermal safety critical states. Introduce a thermal accumulation index to assess long-term thermal stress and implement extreme weather pre-control strategies. Achieve spatiotemporal migration of thermal load through cluster thermal health index ranking. Allocate high-power tasks to energy storage compartments with good thermal condition, force overheated compartments into recovery mode, and utilize the thermal mutual aid network to achieve cascade utilization of waste heat. Finally, combine ultra-short-term forecasts to implement pre-scheduling of thermal charging risks to prevent the superposition of high-power charging and high temperature, completely eliminate the coupling blind zone between temperature and energy state, achieve spatiotemporal optimization of thermal resources among clusters, and effectively avoid power limitation or accelerated equipment aging caused by thermal runaway.

[0009] 3. By integrating energy boundary and thermo-electric coupling safety judgment results, control commands covering multiple time scales within and around the day are generated. The charging and discharging trajectories of each energy storage unit, the output plan of the diesel generator set, and the task of smoothing second-level fluctuations of the supercapacitor are accurately determined. A collaborative control matrix including the start-up and shutdown status of thermal management equipment is constructed and issued for execution. A closed-loop feedback mechanism is implemented, and power, temperature, and state of charge data are collected in real time. The execution deviation is calculated and the prediction model is corrected to form a progressive cyclic optimization. An abnormal interruption and degradation mechanism is established. When communication fails or signs of thermal runaway occur, the conservative mode is switched immediately to ensure that the control strategy is always synchronized with the physical state. A closed-loop collaborative system of prediction decision-making and execution is constructed, which significantly enhances the system's adaptive adjustment capability to wind and solar uncertainties and ensures the safety and economy of the long-term operation of the multi-energy system. Attached Figure Description

[0010] Figure 1 This is a flowchart of the intelligent coordinated control method among wind, solar, diesel, and storage energy sources according to the present invention.

[0011] Figure 2 This is a flowchart illustrating the energy storage boundary security management of claims 3-4 of the present invention;

[0012] Figure 3 This is a flowchart illustrating the determination of the thermal-electric coupling safety domain for energy storage as described in claims 5-6 of this invention.

[0013] Figure 4 This is a flowchart illustrating the spatiotemporal optimization of thermal load for energy storage clusters as described in claims 7-8 of this invention. Detailed Implementation

[0014] Example 1: An intelligent coordinated control method among wind, solar, diesel, and energy storage systems (see reference). Figure 1 ,include:

[0015] The system performs multi-source parameter acquisition and validity determination, acquires key data, and determines whether the key data is complete and valid. If key data is missing or communication is abnormal, it is determined to be "invalid data" and the system will start operating in a fixed conservative mode to maintain basic power supply security. If the data is complete and valid, it is determined to be "data ready" and the system will perform SOC strategic reserve compliance determination. The key data includes the uncertainty rating of wind and solar resource forecast for the next day, the current SOC distribution of the energy storage system, the number of deep charge and discharge cycles in the past 24 hours, the real-time temperature field and ambient temperature forecast of each energy storage compartment, the available power of the diesel generator set, the state of charge of the supercapacitor, and the thermal health index of each compartment.

[0016] The SOC strategic reserve compliance assessment is performed based on the uncertainty level of wind and solar forecasts. It checks whether the strategic layer SOC reservation meets the corresponding threshold (30% reservation for high uncertainty weather, 10% reservation for clear and stable weather). If the strategic reserve is insufficient, it is judged as "boundary warning". The capacity of the operation layer is forcibly compressed to prioritize replenishing the strategic layer to the threshold. Energy storage is restricted to participate only in basic energy time shift. Severe power fluctuations are handled by diesel generators or supercapacitors. Progressive operation is stopped and conservative operation is maintained. If the strategic reserve is compliant, it is judged as "reserve safety" and a deep cycle fatigue assessment is performed.

[0017] Perform a deep cycle fatigue assessment, check whether the energy storage deep charge and discharge cycle counter in the past 24 hours exceeds the set threshold. If the counter exceeds the limit, it is judged as "cycle fatigue risk", and the energy storage is forced to enter a shallow charge and discharge repair period (SOC operating range shrinks to 40%-60%). It is prohibited to participate in high-power charge and discharge commands, and the diesel generator takes over the main regulation tasks. Perform a SOC strategic reserve compliance assessment to re-evaluate the reserve allocation. If it does not exceed the limit, it is judged as "cycle healthy", confirming that the energy storage has full power regulation capability. Output the final allocation plan for the operation layer and the strategic layer, and perform a single-compartment thermal boundary safety assessment.

[0018] Perform single-compartment thermal boundary safety judgment, check whether the temperature of each energy storage compartment is within the optimal electrochemical range of 15-35℃. If the temperature is below 15℃, it is judged as "low temperature power limited", and multi-energy waste heat preheating is started (using waste heat from photovoltaic inverters or diesel generator cooling water). High-power discharge of the compartment is prohibited until the temperature rises back to above 20℃. The power gap is filled by the diesel generator. If the temperature is above 35℃, it is judged as "thermal safety critical", and a derating charge and discharge strategy is implemented and active cooling is started. The power quota of the compartment is transferred to the diesel generator or supercapacitor. If the temperature is within the safe range, it is judged as "temperature normal", and heat accumulation and pre-regulation judgment is performed.

[0019] Perform heat accumulation and pre-control judgment, check whether the heat accumulation counter exceeds the limit (the temperature has been frequently approaching the upper limit recently), and check whether the pre-control for extreme weather is in place (such as whether preheating is done before a cold wave or pre-cooling is done before a high temperature). If the heat accumulation exceeds the limit, it is judged as "heat stress accumulation". Even if the SOC is sufficient, the high power charging and discharging of the cabin is restricted and the cabin is forced to enter the heat recovery mode. If the pre-control is missing, it is judged as "pre-control missing". The preheating or pre-cooling program is immediately started to adjust the cell temperature to the high-efficiency range of 15-25℃. If both are normal, it is judged as "thermal-electric coupling safety" and the cluster heat distribution balance judgment is performed.

[0020] Perform cluster thermal distribution balance determination. Based on the thermal health index of each compartment, check whether there is thermal imbalance (uneven heating and cooling) within the cluster. If the difference in thermal health index exceeds the set threshold, it is determined to be "thermal distribution imbalance". Perform dynamic power load allocation: prioritize the use of energy storage compartments with high thermal health index to undertake high-power charging and discharging tasks, force compartments with low thermal health index to enter thermal recovery mode (only undertake basic power or switch to charging to balance heat flow), and start the thermal mutual aid pipeline network (transfer the waste heat of high temperature compartments to low temperature compartments or diesel generator side through coolant or hot air circulation channels). If the distribution is balanced, it is determined to be "thermal distribution healthy". Perform thermal charging risk pre-judgment and scheduling.

[0021] Perform thermal charging risk assessment and scheduling. Based on the wind and solar power output forecast for the next 2 hours, check whether there will be a situation where solar power generation requires high-power charging of energy storage and the current temperature of each module is too high. If such thermal shock risk exists, it is judged as "thermal charging risk". In advance, thermal load pre-scheduling is initiated: reduce the current operating power of each module to allow natural heat dissipation, or initiate active cooling pre-cooling to reduce the temperature of each module to a low level to reserve thermal safety margin, so as to avoid the superposition of high power charging and high temperature. If there is no risk, it is judged as "thermal stability". Perform conventional economic optimization scheduling and allocate wind, solar, diesel and storage power according to the principle of lowest cost.

[0022] The execution control command generation and closed-loop feedback, combined with the results of the aforementioned seven steps, generate the final control command: determine the charging and discharging power curves of each energy storage compartment, the start-up and shutdown and output plan of the diesel generator set, the task allocation for the second-level fluctuation smoothing of the supercapacitor, and the start-up and shutdown status of the thermal management equipment. After execution, the actual SOC, temperature, power, and thermal health index data are fed back to the execution multi-source parameter acquisition and effectiveness determination, and the next round of progressive determination cycle is started.

[0023] Specifically, the process of acquiring and validating multi-source parameters involves: establishing a multi-dimensional parameter input space and defining the system state observation vector.

[0024] Obtain the uncertainty rating vector for wind and solar resource forecasting : ;in, The cloud cover coefficient quantifies the degree to which the sky is obscured by clouds, directly affecting the accuracy of photovoltaic power generation prediction. =0 indicates clear skies and predictable, stable photovoltaic power output. =1 indicates complete shading, resulting in a sharp drop and drastic fluctuation in photovoltaic output. This value is used to determine the level of uncertainty in photovoltaic forecasts and, consequently, to determine the proportion of strategic energy storage reserves. The wind speed variation coefficient is the ratio of the standard deviation to the mean of wind speed, and it characterizes the intensity of turbulence and the stability of wind resources. A larger value indicates more drastic wind speed fluctuations, making wind power output more difficult to predict. This is used to assess the reliability of wind power forecasts. Jointly determine the overall uncertainty rating. Discretized weather type encoding is used to classify continuous meteorological conditions into enumerated states: =1 Clear and stable (low uncertainty) =2 Cloudy change (moderate uncertainty) =3 Strong convection with high risk (high uncertainty), used to directly map the strategic reserve coefficient The possible values ​​of ;

[0025] Obtain the state of charge distribution matrix of the energy storage system : ; ;in, The number of energy storage modules represents the cluster size and is used for traversal calculations. For the first The independent SOC value of each energy storage module, i.e., the normalized state of charge. This is used to reflect the current energy level of a single energy storage unit. For energy storage compartment index, used to identify the first Each cabin. From 1 to , To determine the minimum SOC of all modules, the minimum value criterion is used to protect the weakest link, thus determining the conservative equivalent charge state of the cluster. The maximum SOC of all modules reflects the upper limit of energy distribution and is used to determine dispersion. The SOC (State of Charge) of all modules is the average value, reflecting the overall energy level of the cluster. This is a function that finds the minimum value of SOC by iterating through all hulls. This is a function that takes the maximum value and is used to iterate through all cabins to find the highest SOC value.

[0026] Get deep loop history : ;in, This is a deep discharge count counter for 24 hours. A single discharge exceeding 80% of the rated capacity is counted as one discharge. It reflects the recent deep discharge stress experienced by the energy storage and is used to identify cyclic fatigue risks. The term "deep charging cycle" refers to a single charge exceeding 80% of the rated capacity, which is counted as one cycle. This reflects the recent deep charging stress experienced by the energy storage system. Jointly assess the frequency of bidirectional deep loops. As a deep cycle equivalent, the weighted cumulative value of partial deep cycles is considered, and the cycle of different depths is uniformly converted into a standard equivalent cycle through a weighting function, so as to quantify the aging cumulative effect more precisely.

[0027] Obtain the set of thermal state parameters : ;in, This is a real-time temperature vector for each module, containing the temperature status of all energy storage modules, and is the core observation variable for thermal management. For the first The average temperature of the battery cells in the compartment reflects the overall thermal state of the compartment and is used to determine whether it is in the optimal electrochemical range. Ambient temperature, or external weather conditions, affects the heat dissipation capacity of the energy storage compartment and its preheating / precooling requirements. The temperature gradient variance characterizes the temperature uniformity within the chamber. A large variance indicates the presence of localized hot or cold spots, affecting the uniformity of battery aging. The thermal health index vector is a health assessment indicator that comprehensively considers temperature history and the degree of aging. For the first Cabin thermal health, with a value from 0 to 1. The closer to 1, the healthier the thermal condition. It is used for cluster thermal load sorting and allocation.

[0028] Acquiring backup resource capability parameters : ;in, This represents the upper limit of the usable power of the diesel generator set, which is the maximum output determined by the rated capacity. It is used to calculate the power gap filling capacity. This represents the lower limit of the usable power of the diesel engine unit, which is the minimum technical output. Below this value, the engine must be shut down or switched to idle speed, thus limiting the unit's adjustment range. The available energy of the supercapacitor represents the total amount of electrical energy that can be released at present, constraining the duration of second-level fluctuation smoothing. This represents the maximum response power of the supercapacitor, which is the upper limit of its instantaneous power response capability and determines the absorption rate of high-frequency fluctuations. This is a communication delay, used to control the transmission delay of commands, which affects the accuracy of real-time control. If the delay is too large, it needs to be degraded.

[0029] Establish a triple judgment criterion of communication validity, numerical rationality, and logical consistency:

[0030] Communication timeliness determination: Define the data source communication status indication function ( Traverse all sensors, (0 indicates normal, 0 indicates interruption), and check the data refresh time difference. Is it less than the threshold? : ;in, This is a communication validity determination function, a logical function that comprehensively evaluates the communication status and data timeliness of all sensors. A true value indicates normal communication, while a false value indicates a communication failure. The total number of key sensors (including wind and solar forecasting interfaces, BMS for each cabin, temperature sensors, diesel generator ECU, and supercapacitor management system). The data refresh time difference is the difference between the current moment and the timestamp of the latest data, reflecting the freshness of the data. This is the communication timeliness threshold, which is the maximum allowable data delay; if this delay is exceeded, the data is considered outdated.

[0031] Numerical boundary determination: Check whether each parameter is within a physically reasonable range and define a validity function. : ;in, The minimum SOC value for all cabins is used to check for non-negative values ​​and prevent negative SOC anomalies. This represents the maximum SOC value for all cabins, used to check if it does not exceed 1, preventing overcharging anomalies. The total number of energy storage compartments. For the first The cabin temperature is used to check whether it is within a physically reasonable range. This is the upper limit of the diesel engine unit's power, used to check if it is non-negative. The available energy of the supercapacitor is used to check if it is non-negative. Indicates all From 1 to ,temperature The temperature must be between -20°C and 60°C to ensure that the temperature data is within the physical safe operating range of the lithium battery. Exceeding this range is considered a sensor malfunction or an extreme anomaly.

[0032] Logical consistency determination: Verify the logical compatibility between parameters, define... : ;in, The logical implication symbol indicates that if the weather type code... =1, then the cloud cover rate is 1. It must be less than 0.3, if =1 but If the value is ≥0.3, it is determined that there is a conflict in the prediction data source (there should be no high cloud coverage in clear weather), and the data is invalid;

[0033] Overall validity assessment: Among them, for When all sensors are communicating normally ( For all And when the data latency is less than the threshold, True if any sensor communication is interrupted or data delay exceeds the limit. It is false, for When all parameters are within a physically reasonable range (SOC is non-negative and does not exceed 1, temperature is between -20℃ and 60℃, and power and energy are non-negative), True if any parameter exceeds the physical boundary. It is false, for When the parameters are logically compatible (minimum value is not greater than average value, lower power limit is not greater than upper power limit, weather code matches cloud coverage), True when there is a logical contradiction (such as clear weather with high cloud cover). It is false;

[0034] If the data is determined to be invalid, that is This triggers the fixed conservative mode. Its control strategy Defined as: ;in, That is, control strategy Definition, For diesel generator set output, used to fix at rated power Proportion, responsible for basic power supply, A fixed output coefficient indicates that the diesel generator set operates stably at 70% of its rated power. The rated power of the diesel generator set is used as a reference value for output calculation. To limit SOC changes, setting it to 0 indicates that energy storage is prohibited from charging and discharging, maintaining the current SOC unchanged. This is a mandatory temperature control target range, used to maintain the energy storage temperature within this range to ensure basic availability. The thermal health threshold is lowered to 0.5, meaning that the system can be put into operation with a thermal health level of only 0.5. The entry conditions are relaxed to maintain power supply. The system maintains this state until the next cycle when the multi-source parameter acquisition and validity determination are re-executed.

[0035] If the data is determined to be ready, that is... Then output the standardized parameter package. For use in subsequent steps: ;in, A timestamp, representing the current system time, identifies the data. It is generated by the system clock;

[0036] Calculate key derivative indicators: Strategic reserve demand coefficient and cluster thermal imbalance : Among them, the strategic reserve demand coefficient The demand for reserve capacity reflects uncertainty and directly determines the energy boundary between the strategic and operational levels. Higher uncertainty necessitates a larger proportion of strategic reserves and a higher degree of cluster thermal imbalance. The difference between the maximum and minimum temperatures, divided by the average, is used to quantify the dispersion of heat distribution within a cluster and to assess the uniformity of heat distribution within the cluster. This is a reserve coefficient mapping function used to classify uncertainty ratings. Convert to , This is the maximum value operator, used to find the highest value in the temperature vector. This is the minimum value operator, used to find the lowest value in the temperature vector. The average temperature represents the average thermal state of the cluster.

[0037] Will , , The process is then relayed to the SOC strategic reserve compliance assessment, and the progressive process continues.

[0038] Example 2 is an improvement on Example 1. This intelligent coordination control method among wind, solar, diesel, and energy storage systems performs SOC strategic reserve compliance determination, specifically by: extracting standardized parameter packages and strategic reserve demand coefficients; and extracting the state of charge distribution matrix of the energy storage system.

[0039] Computation cluster conservative equivalent state of charge The minimum value criterion is adopted to protect the weakest link, avoid the risk of energy shortage in individual compartments being masked by the average SOC, and ensure that the control strategy is based on the most conservative estimate. ;in, This is a function to find the minimum SOC value by iterating through all cabins. For the first SOC (State of Energy) refers to the energy state of a single module. For cabin index, used to identify the first Each cabin. Total number of cabins;

[0040] Calculate the total available energy of the current cluster. That is, the total amount of energy that can actually be used for power supply or regulation: ;in, The total energy capacity of the energy storage system is defined as the total energy of the cluster when it is fully charged.

[0041] Strategic reserve demand coefficient determined based on current uncertainty rating (Highly uncertain weather) =0.30, sunny and stable weather =0.10), defining the energy boundaries between the strategic and operational layers: strategic layer capacity requirements This refers to the emergency backup capacity that must be reserved, defining the minimum safety reserve requirement corresponding to uncertainty: Runtime layer capacity limit This refers to the capacity allowed for economic scheduling, which defines the energy boundary for economic optimization and prevents over-scheduling. Physical constraint boundaries: setting the lower limit of physical safety for energy storage systems. (To prevent over-discharge from damaging the battery), the actual energy currently available to support strategic reserves. (That is, the available reserves after considering the physical security floor, to assess whether the current actual reserves meet the requirements, and to provide a basis for compliance determination) are: ;in, This is a function to find the maximum value, used to ensure that the calculation result is non-negative;

[0042] Establish a reserve adequacy determination function to assess the compliance of strategic reserves, ensuring that actual reserves not only meet nominal requirements but also retain additional safety margins, thereby enhancing the system's resilience to disturbances. ;in, To provide a safety margin, a buffer is added on top of the reserve requirements to address residual uncertainties in forecasts. An output of 1 indicates that reserves are secure, while an output of 0 indicates a boundary warning. If the reserve adequacy determination function outputs 0, it is determined as a "boundary warning," and the strategic reserve gap is calculated. : ;in, This is the lower limit of physical security and serves as the benchmark for calculating available reserves;

[0043] Implement a forced compression strategy for the operating layer: Define the portion of currently available energy that exceeds strategic reserve requirements as the compressed operating layer capacity. This means that when reserves are insufficient, the available capacity for economic dispatch should be forcibly reduced to prioritize strategic reserves. ;like (i.e., the current SOC is lower than the strategic reserve requirement), then Energy storage is prohibited from discharging; it is only permitted to charge to replenish the strategic layer. If the current SOC is not lower than the strategic reserve requirement, then the current SOC is deemed sufficient to support the strategic reserve requirement. Energy storage can participate in limited economic dispatch;

[0044] Power limiting and functional isolation: Setting the maximum allowable charge and discharge power limit for the energy storage system. (from rated power) Compression to base energy time-shifted power , ): ;in, The output is This indicates that the operating layer capacity is greater than zero, allowing energy storage to participate in energy time-shift at base power. An output of 0 indicates that the capacity of the operating layer is zero, energy storage is prohibited from discharging, and only charging is allowed to replenish the strategic layer;

[0045] Implement a strategy to transfer drastic fluctuations: Define a power fluctuation rate threshold. When predicting the rate of fluctuation At that time, the task of absorbing fluctuations will be shifted from energy storage to backup resources, among which, The absolute value of the rate of change of power reflects the degree of fluctuation: ; ;in, This is a sign function used to determine the positive or negative direction of the power difference, and to determine the charging and discharging state of the diesel generator set and the supercapacitor. It provides power to the target diesel generator set, bearing the basic power and smoothing out fluctuations. For the load demand power, Contribute to renewable energy This is the net power deviation, i.e., the power difference that needs to be adjusted. The high-frequency fluctuation component is absorbed by the supercapacitor to absorb high-frequency residual fluctuations;

[0046] Output conservative mode instruction set : ;in, As a progressive termination indicator, the system enters conservative mode due to insufficient reserves, preventing progression to subsequent refined levels and forcibly maintaining safe operation until repair is achieved. At this time, the system maintains conservative operation, performing multi-source parameter acquisition and validity assessment re-evaluation or waiting for manual intervention, and does not perform deep cycle fatigue assessment; if the reserve sufficiency assessment function outputs 1, it is determined as "reserve safe", and the hierarchical capacity allocation scheme is confirmed: strategic layer capacity locking. : ;in, Strategic reserve capacity is locked at the strategic level. Upon compliance, strategic reserve capacity is formally confirmed and locked to prevent misappropriation in subsequent steps and ensure uninterrupted availability for emergencies. Operational level capacity release: ;in, The available capacity at the operating layer represents the energy space released to economic dispatch when compliant, supporting day-ahead optimization and real-time control. The calculation of regulation capacity margin involves calculating upward regulation capacity (discharge reserve) and downward regulation capacity (charging reserve). Upward regulation capacity, used to fill power deficits, is equal to the available capacity at the operating layer. Downward regulation capacity, used to absorb surplus power, is determined by the difference between the current SOC and the fully charged state. ; Power limit release: After confirming reserve safety, release all energy storage regulation capacity to improve system economy and response speed; restore full power regulation capacity of energy storage, and set power constraints to physical limits only. ;in, Maximum power limitation is used to restore the power to rated power, release the power compression of conservative mode, and allow the energy storage to respond at full capacity;

[0047] Update system status parameter package Additional tiered capacity information: ;in, To establish a safety indicator and mark the compliance status of strategic reserves, This indicates that there are sufficient reserves, and the system can safely proceed to the next level of refined control.

[0048] Perform deep cyclic fatigue assessment.

[0049] Specifically, the deep cycle fatigue determination involves extracting the updated system state parameter package. ;

[0050] Calculate the single-cycle depth weight to quantify the differentiated contribution of different cycle depths to aging, achieving a refined assessment of cyclic fatigue. For the first cycle depth... Each charge-discharge cycle defines the depth of discharge. (The ratio of actual discharge to rated capacity), with depth weighting. Demonstrates the accelerated aging characteristics of deep discharge (nonlinear enhancement): ;in, This is a depth-weighted function used to convert discharge depth into an equivalent aging weight; the deeper the discharge, the higher the weight. For the first The depth of discharge per cycle is the ratio of the actual discharge to the rated capacity. This is a reference depth, used as the baseline depth for standard cycles. The depth sensitivity coefficient controls the degree of nonlinear enhancement. The deeper the discharge, the heavier the penalty.

[0051] Calculate the temperature stress correction factor based on the Arrhenius aging model, temperature The acceleration factor for cycle life is: ;in, This is a temperature stress correction factor function used to convert temperature into an aging acceleration factor, quantifying the nonlinear effect of temperature on cycle life. The average temperature during cycling is the actual operating temperature of the battery cell, which directly affects the electrochemical reaction rate. It is an exponential function used to achieve nonlinear amplification of the effects of temperature; aging is significantly accelerated at high temperatures. The activation energy is the energy barrier parameter of an electrochemical reaction, which determines the degree of temperature sensitivity. "Gas constant" is a thermodynamic constant used for unit conversions. The reference temperature is the standard comparison benchmark and the reference point for temperature effects. hour, That is, high temperatures exacerbate fatigue, when hour, This means that low temperatures slow down aging but may trigger other risks such as lithium plating, in order to achieve a quantitative assessment of temperature stress.

[0052] Calculate the rate stress correction factor; high-rate charge and discharge generate greater polarization heat and mechanical stress. Accelerated aging is achieved through precise current intensity penalty:

[0053] Define charge / discharge rate (Ratio of actual current to rated current), with the following weighting: ;in, This is a rate stress correction factor function used to convert charge / discharge rates into aging weights, quantifying the impact of high-current surges. The charge / discharge rate is the ratio of the actual current to the rated current, reflecting the intensity of charge / discharge. The nominal rate is the standard charge / discharge rate benchmark. This is the rate sensitivity coefficient, used to control the degree of nonlinearity. The higher the multiplier, the heavier the penalty.

[0054] Calculate the 24-hour equivalent deep cycle cumulative amount: for the time window =All within 24 hours Summing the results in the next iteration yields the equivalent loop count: ;in, The equivalent depth cycle accumulation is a standardized cycle count that takes into account the aging weights of depth, temperature, and magnification. This represents the number of sampling cycles within a 24-hour period, i.e., the total number of cyclic events within the time window. This is a loop event index used to identify the 1st cycle event. Each charge-discharge cycle For the first The average temperature of each cycle is the temperature stress input of that cycle. For the first The charge / discharge rate of the next cycle, and the current input during that cycle. This is the shallow cycle threshold, used to filter out minor cycles; only deep discharges are included in fatigue accumulation.

[0055] Perform fatigue threshold determination and condition classification: Set fatigue threshold This refers to the maximum number of equivalent standard cycles allowed within 24 hours. Exceeding this limit indicates a fatigue risk. A three-tiered assessment system is established, along with an operational fatigue grading standard, to achieve progressive management from "healthy" to "warning" to "severe," avoiding a one-size-fits-all approach or excessive conservatism. ;in, Indicates a state of severe fatigue Immediate forced repair is required. Indicates a warning status Close monitoring is required. Indicates health status Normal scheduling The severe fatigue coefficient is used to distinguish between different fatigue levels. and Boundary multiplier, The "Cyclic Fatigue Risk" flag is triggered at this time. , This indicates good health;

[0056] If it is determined to be a risk of cyclic fatigue, that is If this is the case, the SOC operating range will be forcibly contracted, shrinking the operating range from the physical limit [0.05,1] to [0.4,0.6]. This reduces aging stress by limiting the depth of charge and discharge, providing the battery with a "repair period": the allowable operating range of the energy storage system will be reduced from the default... Shrink to shallow charge and shallow discharge safety domain ,in, This is the lower limit of SOC during the recovery period, i.e., the bottom of the shallow charge / discharge safety range, to prevent deep discharge. This is the upper limit of SOC during the recovery period, which is the top of the shallow charge and discharge safety zone to prevent deep charging.

[0057] If the current SOC is higher than Force discharge to this range; if it is lower than The charging is forced to the designated range, and only energy storage within that range can participate in regulation, with the regulation range limited to that range.

[0058] By implementing power limiting and functional separation, energy storage is separated from the "severe fluctuation smoothing" function and transferred to diesel generator sets (medium frequency) and supercapacitors (high frequency), thus achieving a functional reassignment: setting upper limits for shallow charging and discharging power. This refers to the maximum power allowed during the recovery period; energy storage responses exceeding this threshold are prohibited. Severe power fluctuations ( The cost will be fully borne by the diesel generator set and the supercapacitor. ; ;in, The actual output power of the energy storage, i.e., the power received Constrained real-time power, To contribute to the new targets of diesel generator sets and to fill the power gap left by energy storage reductions. This refers to the basic output of the diesel generator set, i.e., the output level in the original economic optimization plan. This refers to the fluctuation in power, i.e., severe power fluctuations ( The power to be transferred, It serves as the power absorber for supercapacitors, acting as the ultimate absorber of high-frequency fluctuations. This refers to the base power of the supercapacitor, i.e., the originally allocated high-frequency smoothing task. This is the power difference sign function, used to determine the charging and discharging direction of the supercapacitor (+ for discharging, - for charging). This refers to the adjustment amount of the diesel generator set, which is the share of fluctuations that the diesel generator set has already absorbed. This is the total power difference, i.e., the net power deviation that needs to be adjusted. This represents the maximum power of the supercapacitor, i.e., the upper limit of its physical response capability.

[0059] Re-implementation of the SOC strategic reserve compliance determination trigger mechanism: Due to the change in available adjustment capacity caused by the contraction of the SOC range, it is necessary to reassess the compliance of the strategic reserves and calculate the equivalent available energy after the contraction. ;in, This refers to the available energy at the operational level during the repair period, i.e., the energy actually available for economic dispatch after the SOC interval shrinks. This represents the upper limit of SOC during the repair period, which is the top of the safe charging and discharging range to prevent deep charging from accelerating aging. This is the lower limit of SOC during the repair period, representing the bottom of the safe charging and discharging range to prevent damage to the battery from deep discharge. The interval availability coefficient is the actual available ratio after considering the prohibition of overcharging and over-discharging. Then, the reverse progression is triggered: ;in, As a reverse progression flag, the identifier needs to be recalculated from the previous layer, breaking the unidirectional progression process and enabling dynamic correction; generating parameters ; The SOC strategic reserve compliance determination will be recalculated. At this time, the SOC strategic reserve compliance determination will be re-determined based on the contracted SOC range, which may trigger a more stringent diesel unit support strategy.

[0060] Execute repair period lockout timer: Start the repair period timer ,exist Regardless of Whether it decays naturally, it maintains a shallow charge-discharge constraint, only when and Only after this period can an application be made to lift the restrictions; if the patient is determined to be in good circulatory health, that is... Then, perform a full-power regulation capability confirmation: remove shallow charge / discharge restrictions and restore rated power authority. ;in, This refers to the available power, which is the full power after the restrictions are lifted.

[0061] Output the final allocation plan: Confirm the final boundary between the operational and strategic layers by executing the SOC strategic reserve compliance assessment. ; ;in, This is the final boundary of the operational layer, used to formally release economic scheduling energy after confirming health. The available capacity at the runtime layer, i.e., the economic scheduling space calculated when compliance is required. This serves as the final strategic boundary, representing the emergency reserve capacity locked in after confirming its health. Lock in capacity at the strategic level, i.e., reserve security reserves confirmed during compliance; output enhanced parameter packages. And perform single-compartment thermal boundary safety determination: ;in, This indicates that the fatigue indicator has been reset to zero, signifying no risk of cyclic fatigue and allowing full participation.

[0062] Execution of cumulative dynamic fatigue decay: due to Based on a 24-hour sliding window calculation, the cycle record within the window is updated each time a deep cyclic fatigue assessment is performed, and a time decay function is defined. The weight of a loop record that has been running for more than 24 hours is reset to zero. ;in, for Fatigue state assessment based on the equivalent cumulative amount of the cycle at any given time, which is dynamically updated over time. This refers to the current moment, which is the time reference point for the sliding window. This is a loop event index used to traverse all historical loops within the window. For the first The timing of the next cycle is used to determine whether the cycle falls within a 24-hour window. This indicates that only the time of occurrence is retained. With the current moment Records with a difference of no more than 24 hours are considered cycle records; older records exceeding 24 hours are automatically removed from the window and their weight is reset to zero. This applies when energy storage is in a repair period and no new deep cycles are added. The data decays naturally over time (old records slide out of the window), creating conditions for subsequent exit from the repair period.

[0063] Example 3 is an improvement on Example 2. In this example, a single-compartment thermal boundary safety determination is performed, specifically by extracting the enhanced parameter package. Extract the real-time temperature vector of each energy storage compartment. ( For the first Average temperature of battery cells in the compartment), temperature difference between battery cells (Maximum temperature difference inside the cabin), ambient temperature and cabin thermal inertia coefficient (Reflects the speed of response to temperature changes);

[0064] Establish a temperature state determination threshold system: absolute low temperature limit (Equipment damage risk); Low temperature operating threshold (Power-limited critical point); Recovery threshold (Full power recovery allowed); Upper limit of optimal range (High-efficiency operation); High temperature warning threshold (Decrease threshold); Thermal runaway early warning (Stop the machine immediately);

[0065] Calculate the temperature deviation of each compartment : ;

[0066] Based on real-time temperature Will The energy storage chamber is divided into three mutually exclusive subsets: the cryogenic confined chamber set. : Normal thermal state chamber assembly : High-temperature critical chamber assembly : Count the number of elements in each set , , ; Calculate the proportion of health cabins A health chamber refers to an energy storage chamber whose temperature is within a safe operating range, i.e., it meets the following requirements: : ;

[0067] Execution of low-temperature limitation determination and multi-energy waste heat preheating: For The battery was determined to be "low-temperature power limited," and a gradual preheating and power freeze strategy was implemented. The available power decay model is: internal resistance of the lithium-ion battery at low temperatures. As the temperature index increases, the maximum permissible discharge power decreases. Restricted: ;in, For activation energy, =25℃, As a low-temperature efficiency correction factor, when Forced setting when <15℃ =0 (High-power discharge is prohibited; only low-current charging or standby is permitted); Multi-energy waste heat preheating strategy: Activate the thermal synergy preheating system to utilize waste heat resources to raise the cabin temperature: Heat source 1: Waste heat from photovoltaic inverter ( Inverter heat dissipation power of The proportion is recovered to the cryogenic storage chamber via heat pipes or liquid cooling loops: ;in, The heat dissipation power of the photovoltaic inverter, that is, the waste heat generated during the operation of the inverter, which would normally be discharged into the environment. The waste heat recovery ratio determines the proportion of waste heat that can be recycled. To restore the temperature threshold, waste heat recovery preheating is initiated when the cabin temperature falls below this value; Heat source 2: Waste heat from diesel engine cooling water ( ): Cooling water temperature during diesel engine operation Heat is supplied to the energy storage compartment via a heat exchanger: ;in, For heat exchange efficiency, This refers to the mass flow rate of the cooling water. For specific heat capacity; preheating power shortfall compensation: the power quota of the cryogenic chamber is preferentially transferred to the diesel engine unit, and the excess is borne by the supercapacitor, ensuring system power balance, that is, the power quota that the cryogenic chamber should have originally borne. Transfer to diesel generator sets and supercapacitors: ; ; ;in, This represents the total power deficit of cryogenic chambers, i.e., the power quota that cannot be fulfilled due to cryogenic limitations and needs to be transferred. To compensate for the power output of the diesel generator set, that is, to cover the power shortfall caused by the reduction in power output from the cryogenic compartment. This refers to the basic output of the diesel generator set, i.e., the output level in the original economic optimization plan. This refers to the upper limit of the diesel generator set's power, that is, the maximum output determined by its rated capacity. The supercapacitor compensates for the power loss, filling the remaining gap after the diesel generator set has taken over; recovery determination: continuous monitoring until... Only then can the power restriction be lifted and the cabin restored to the normal adjustment queue;

[0068] Perform high-temperature criticality determination and derating cooling: For Determined to be "thermal safety critical," thermal derating and active cooling are implemented: thermal derating charge / discharge strategy: when the temperature exceeds... At that time, based on the Arrhenius aging model, a temperature-sensitive derating factor was set. : The maximum charge / discharge rate of this cabin is limited from 1C to [a lower value]. : ;in, The degradation activation energy is a parameter describing the energy barrier of high-temperature aging reactions. This is the gas constant, i.e., the thermodynamic constant. For the first The real-time cabin temperature is the input temperature for derating calculations. This is the upper limit of the optimal range and serves as the reference temperature for derating calculations. The derating rate is the maximum allowable charge / discharge rate at high temperatures. For the first Cabin power limitation is a dynamic limit that takes into account both temperature and thermal distance. This is the critical temperature for thermal runaway, i.e., the absolute safety boundary; a forced shutdown is triggered when the temperature is approached. Active cooling startup logic: calculates the heat generation rate within the chamber. (Based on current) Internal resistance ) and heat dissipation capacity Balance: ;in, It is the heat flow rate of the cabin to dissipate heat to the environment through conduction, convection, and radiation, which is determined by the structural thermal resistance and the temperature difference with the environment; when When natural heat dissipation is insufficient, activate forced liquid cooling or air conditioning to cool the target. Pull back to the following: ;in, The internal resistance of the battery cell, i.e., the ohmic resistance that varies with temperature, is a core parameter for heat generation calculations. It is the heat of reversible reaction, that is, the endothermic or exothermic reaction accompanying an electrochemical reaction, and it is related to the direction of the current. Active cooling power refers to the cooling power required to eliminate heat surplus. The coefficient of performance (COP) is the ratio of cooling capacity to power consumption, measuring cooling efficiency. Power quota transfer: the power deficit from the high-temperature compartment is transferred to other resources, prioritizing the use by the normally heated energy storage compartment, with any shortfall filled by diesel generators, ensuring both power balance and thermal safety. Priority shall be given to The energy storage compartment in the middle is responsible for the energy storage, and the diesel generator set fills the gap if necessary. ;in, The power difference due to the restricted release of power from the high-temperature chamber, i.e., the power quota reduced due to the derating strategy, needs to be reallocated. For the first The original power allocation for the cabin, i.e., the power task in the economic optimization plan, For the first Power limitation after cabin derating, i.e., the actual usable power after thermal safety constraints. To provide additional output to the diesel generator sets, i.e. to fill the remaining gap after the healthy energy storage compartment has taken over. For the first The available power margin of the health compartment is the power transfer capacity that the high-temperature compartment can handle under overload conditions.

[0069] Performing normal thermal state and progressive output quantifies the actual available energy of the temperature-normal cabin, providing physical boundaries for subsequent cluster optimization: For That is, satisfying The cabin: determined to be "normal temperature," confirming it is within the thermo-electric coupling safety domain, further subdivided into: high-efficiency range: Allow full power Warning zone: Allow power consumption but activate early warning monitoring; available adjustment capabilities for the computing cluster: ;in, The cluster's available adjustable energy under thermal safety constraints is the physical available capacity that combines the temperature state and the state of charge (SOC). The rated energy of a single compartment is the basic unit for calculating the total capacity of the cluster;

[0070] Output parameter package : ;like If so, it is determined to be "thermal boundary safe" and is passed to the determination of heat accumulation and pre-control. (More than half of the cabins are experiencing thermal anomalies), triggering a "cluster thermal crisis," halting the progression of the crisis, and initiating a global conservative mode. The percentage of healthy cabins, i.e., the ratio of the number of cabins with normal temperatures to the total number of cabins. The minimum healthy percentage threshold is the critical condition for determining the safety of the cluster's thermal boundary.

[0071] This embodiment also provides a method for performing heat accumulation and pre-regulation determination, specifically: extracting the output parameter package for performing single-compartment thermal boundary safety determination. ; Obtain historical temperature logs for each energy storage compartment (Time window) =72 hours): ;

[0072] Define temperature proximity function Quantify the current temperature relative to the high temperature warning threshold To enhance the cumulative effect of high-risk zones, an exponential weighting method is used to determine the degree of proximity. ;in, To provide early warning of the starting temperature, below However, we need to start paying attention to the temperature of the cumulative effect. The sensitivity coefficient is used to control the exponential growth rate and determine the sensitivity of risk perception.

[0073] Calculate the heat accumulation index of each compartment within the time window. (Equivalent number of hours of high-temperature exposure): ;in, The number of sampling points. The sampling interval is... For the first Cabin Temperature at each sampling time;

[0074] Set heat accumulation threshold Establish a three-level thermal stress determination system: ;in, For the first Cabin thermal stress level, This indicates severe thermal stress and requires immediate and mandatory intervention. This indicates a warning status and requires close monitoring. This indicates a normal state, with no special restrictions. This is the equivalent number of hours of high-temperature exposure, used to transform temperature history into a standardized indicator that is quantifiable, comparable, and threshold-determinable, thus upgrading from instantaneous temperature monitoring to long-term thermal stress assessment; when At that time, the cabin was determined to be in a state of "thermal stress accumulation," and a marker was set. , This is a marker for accumulated thermal stress; 1 indicates the presence of thermal stress risk.

[0075] Obtain extreme weather warnings issued by meteorological departments Includes: warning types (Cold wave / heat wave); Warning level (Blue, Yellow, Orange, Red); Estimated arrival time (Hours); Extreme Temperature Forecast ;

[0076] Establish a pre-regulation action recording matrix Record the pre-regulation actions that have been performed: : Should preheating be started? Should precooling be started? Pre-regulation start timestamp; Lead time;

[0077] The criteria for determining whether pre-control is in place must simultaneously satisfy both the time lead criterion and the temperature target achievement criterion: The time lead criterion states that pre-control is considered effective only when the actual lead is not less than the minimum requirement; otherwise, it is considered a failure of pre-control. ;in, To minimize the effective lead time and ensure that pre-control measures can be implemented (cold wave warnings need to be issued in advance) =6 hours, high temperature warnings need to be issued in advance =4 hours), This is used to determine the effectiveness of the lead time, and to check whether the pre-regulation start-up is advanced enough. Actual lead time is the time difference between the issuance of a warning and the arrival of extreme weather; temperature target achievement criteria: define the target preheating temperature. (Requires temperature to rise from low to above 20°C), target pre-cooling temperature (The temperature needs to be lowered from high temperature to below 22°C), check the current cabin temperature. Gap from target: ; ;in, This is used to determine whether the preheating target has been achieved, and to check whether the cryogenic chamber has reached the target temperature. To determine whether the pre-cooling target has been achieved, this is used to check whether the high-temperature chamber has been reduced to the target temperature.

[0078] By comprehensively considering the pre-regulation state and integrating both time and temperature criteria, a concise three-state determination is output: ;in, This is a comprehensive assessment of the effectiveness of pre-control measures, specifically a summary output of the criteria for determining the effectiveness of pre-control measures. This indicates a lack of pre-control measures, meaning that extreme weather warnings were issued but the timing or temperature targets were not met. This indicates partial compliance, meaning the time requirement was met, but the temperature of some individual cabins did not meet the standard. This indicates that the pre-control measures are in place, meaning that there is no extreme weather or the temperature and time conditions are met. This represents an empty set, indicating that there is no extreme weather warning. This indicates that the timing is invalid, meaning the lead time was insufficient. This indicates that the temperature setting is invalid, meaning the objective has not been achieved. This indicates that the temperature of some individual cabins did not meet the standard, meaning that the pre-control of some cabins was inadequate. This indicates that the temperature of all cabins has met the standard, meaning that all cabins are under pre-control.

[0079] when or At that time, it was determined to be "lack of pre-control";

[0080] Establish a composite decision matrix to perform multi-condition coupled decision and branch processing:

[0081] Branch A: Forced recovery of accumulated thermal stress ( Even if the current SOC is sufficient and the instantaneous temperature reading is... Power limiting strategy based on thermal history accumulation: setting a power limit for thermal recovery mode. Considering dynamic adjustment of heat accumulation: ;in, This is the upper limit of power in heat recovery mode, i.e., a dynamic limit based on the degree of heat accumulation. This is the derating factor, used to control the intensity of the power penalty due to heat accumulation. At that time, forced (Standby or very low current maintenance only); Forced activation of thermal recovery mode: Mark the status of this compartment as... (That is, the cabin enters a forced repair state, high-power charging and discharging are prohibited, and the elimination of accumulated thermal stress is prioritized.) Set a recovery timer. During this period: high-power charging and discharging are prohibited; active cooling is forcibly initiated (even if the current temperature is not high, to eliminate accumulated thermal stress); priority is given to cyclically performing low-current cycling on this chamber during low-cost periods to rebuild SEI membrane stability; among which, For the first The cabin operation mode marker is used to identify the current control status. This indicates a heat recovery mode, a special state involving forced power limitation, initiation of cooling, and timed repair; power deficit transfer: the original power allocated to this compartment. Fully transferred to diesel generator sets: ; ;in, This represents the total power deficit of the thermal stress chambers, i.e., the power quota that needs to be transferred to other resources. It provides thermal compensation output for the diesel generator set, that is, it covers the power shortfall caused by the reduction in power output from the thermal stress chamber. This refers to the basic output of the diesel generator set, i.e., the output level in the original economic optimization plan. This refers to the upper limit of the diesel generator set's power, that is, the maximum output determined by its rated capacity. This represents the index of all cabins that meet the thermal accumulation exceedance condition. Perform a traversal summation; the remaining gap is filled by the supercapacitor or overloaded by other healthy energy storage modules (within the safety margin); progressive control: after the thermal stress accumulation judgment is triggered, the cluster thermal distribution equilibrium judgment is not immediately executed, but rather it is checked whether there is a lack of pre-control. If so, the compensation pre-control of branch B will be executed first, and then the process will return to re-evaluation. ;

[0082] Branch B: Pre-regulation deficiency compensation ( Immediately activate compensation and pre-control measures: based on the type of early warning. Emergency temperature control: Cold wave preheating compensation: utilizing waste heat from diesel engine cooling water. With electric heater (If residual heat is insufficient) Combined preheating: The goal is to The temperature will be from Upgraded to =18℃ (lower than optimal but can guarantee basic power): Sacrificing some of the current diesel generator's power output for preheating (reducing...) To improve Accepting short-term economic losses in exchange for subsequent adjustment capabilities; among them, The total preheating power is the heat output from the combined waste heat from diesel fuel and electric heating. The preheating requirement refers to the amount of heat needed to raise the cabin temperature from the current level to the target level. This is the calculated heating power value, i.e., the power required to complete preheating within a given time. The mass of the energy storage compartment is a mass parameter calculated based on its heat capacity. Specific heat capacity, i.e., the heat storage characteristic parameter of a material. Heating efficiency is the coefficient of heat loss during the heat transfer process. The diesel generator set's power output can be reduced to increase waste heat recovery for preheating; high-temperature precooling compensation: start full-power liquid cooling and air conditioning, utilizing surplus photovoltaic power (if it is currently midday) or reducing the grid capacity released by energy storage charging to drive cooling. ;in, =28℃, ;in, This refers to the emergency cooling power, i.e., the cooling power required for high-temperature pre-cooling compensation. The maximum cooling capacity, i.e., the physical upper limit of the refrigeration system. For the first Cabin heat capacity, which is the conversion factor between temperature change and energy input. The remaining time is the time difference between the current moment and the arrival of the extreme weather; post-compensation reassessment: after implementing compensation and pre-control, wait... (Waiting time for reassessment, i.e., the observation period for the effect after the implementation of compensation and pre-control) Resample the temperature; if it reaches... Then update Only if the cluster heat distribution balance determination is executed can the conservative mode be maintained; otherwise, the conservative mode will be maintained.

[0083] Branch C: Thermal-electric coupling safety (normal path), when simultaneously satisfying: for all , (No thermal stress accumulation) and or (In the absence of extreme weather or inadequate pre-control measures), the condition is determined to be "thermal-electric coupling safe," confirming the thermal-electric synergy status: Thermal safety margin calculation: Calculate the energy margin (from a thermal capacity perspective) of each compartment relative to the high-temperature limit: ;in, For the first Cabin thermal safety margin, i.e., the "thermal distance" between the current temperature and the high-temperature limit, quantifies the thermal buffering capacity; Dynamic SOC-temperature coordinated range: Optimizes the allowable SOC range based on the current temperature, and lowers the upper limit at high temperatures to avoid the accumulation of heat generated during charging. ;in, This is a dynamic SOC upper limit, which is an adaptive upper limit optimized based on the current temperature. It is lowered at high temperatures to suppress heat generation during charging. This is the upper limit of the optimal range, i.e., the reference temperature for calculating the dynamic SOC upper limit. =0.1 (The upper limit of SOC is reduced by 10% at high temperatures to suppress charging heat generation);

[0084] Output Enhancement Parameter Packet And perform cluster heat distribution balance determination: ;in, For power limiting in thermal recovery mode, the result is passed to the cluster thermal distribution balancing determination, guiding the exclusion or limitation of high-accumulation chambers during cluster power allocation. To assess the overall thermal buffering capacity of the cluster by considering the thermal distances of each compartment, input is provided for the pre-judgment and scheduling of thermal charging risks.

[0085] Example 4 is an improvement on Example 3. In this example, cluster heat distribution balancing is performed, specifically by extracting the enhanced parameter package from the output of the heat accumulation and pre-regulation determination. ;

[0086] Constructing a comprehensive thermal health index It integrates multi-dimensional thermal-electrical-aging status assessments, including deep cycle fatigue assessment, single-compartment thermal boundary safety assessment, and thermal accumulation and pre-regulation assessment, to achieve comparable, sortable, and optimizable thermal health status of the energy storage compartment. The normalized component is defined as follows: Temperature state score: Heat accumulation health status: Thermal safety margin score: SOC thermal coupling score (to avoid the risk of high temperature and high SOC superposition, referencing the dynamic SOC upper limit for compliance determination of SOC strategic reserves): ;in, For the first The current SOC of the cabin, i.e., the actual observed state of charge. This is a dynamic SOC upper limit, which is an adaptive upper limit optimized based on the current temperature, decreasing at higher temperatures. The temperature is used for early warning and is the temperature threshold that triggers the SOC-temperature coupling constraint. The temperature state score has the highest weight, reflecting the direct impact of instantaneous thermal state on power capability. Heat accumulation health score, with the second highest weighting, reflects the cumulative effect of long-term thermal stress on aging. The thermal safety margin score has a medium weighting and reflects the buffering capacity against temperature rise. The SOC thermal coupling score is assigned the lowest weight to avoid the secondary risk of high temperature and high SOC superposition. The weighting coefficient satisfies the following conditions. ;

[0087] Calculate the coefficient of variation of the thermal health index distribution. (Coefficient of variation), eliminating the influence of dimensions, to achieve comparable evaluation of clusters of different sizes. High indicates that health status varies, with "uneven heating and cooling," providing a quantitative threshold for judging heat distribution imbalance: ;in, The standard deviation of the thermal health index is used to quantify the dispersion of health status across different cabins. The average thermal health index is a measure of the central tendency of the overall health level of the cluster.

[0088] Set imbalance detection threshold (Exceeding this threshold triggers proactive adjustments to prevent further deterioration) and extreme imbalance thresholds (If the threshold is exceeded, the system is deemed unacceptable and forced to intervene.) Determine if there is uneven heat distribution within the cluster, i.e., whether extreme hot and cold compartments coexist: ;in, This indicates a severe imbalance, necessitating large-scale thermal migration, and the partial withdrawal of some modules from operation. This indicates an imbalance in heat distribution, requiring dynamic allocation of starting power and heat exchange. This indicates a healthy thermal distribution; thermal restrictions are lifted, and routine economic optimization is implemented.

[0089] Check the extreme value difference: ;in, This is the thermal health index. ;like ,even though Even a lower level is considered "structural imbalance" (the coexistence of extreme hot and cold compartments);

[0090] like or If an imbalance in heat distribution is detected, heat distribution imbalance processing will be performed.

[0091] based on right The cabins are sorted in descending order to establish a three-level queue: a thermal health priority queue. (Responsible for high-power tasks): Thermohealth Lower Limit Cohort (Forced heat recovery): ; Hot Health Intermediate Cohort (Basic power): ;

[0092] Dynamic power quota allocation (total power demand) ): Full power release capability for high-priority queues (upper limit after considering heat accumulation and pre-regulation judgment heat recovery limit): Forced limit on the base power for the lower limit queue Priority will be given to charging to utilize the heat generated during charging to balance the subcooled chamber, or low-power discharge will be arranged to utilize Joule heating for self-heating. ;in, To achieve the goal of reaching the intermediate temperature, the supercooled chamber ( Take the positive sign (heat generation during charging), superheated chamber ( Take the negative sign (low-power discharge heat dissipation);

[0093] Power gap transfer calculation: The sum of the upper limit of available power in the high-priority queue and the power reduced in the low-priority queue is the power that needs to be transferred. : This shortfall will be filled by diesel generator sets (prioritized) and the supercapacitor's rapid response (second-level buffer). ; ;in, For the first The original power requirement of the cabin, i.e., the economically optimal allocation value before thermal constraints. For low limit queue The cabin index in the text refers to the high-temperature heat accumulation cabin that requires mandatory restrictions. For high-priority queues The health capsule can be fully released by referring to the capsule index in the database. It compensates for the power output of the diesel generator set cluster, that is, it covers the power shortfall caused by uneven heat distribution. This is the baseline value for thermal compensation of the diesel generator set, i.e., the power transferred from the thermal stress chamber that has already been borne. This refers to the upper limit of diesel generator set power, i.e., the physical capacity constraint. It provides second-level response to compensate for the power of the supercapacitor cluster, that is, to fill the residual gap after the diesel generator set has taken over;

[0094] Heat flow path planning: Establishing a thermal resistance matrix between adjacent compartments Calculate the optimal thermal migration path: high temperature → low temperature direct mutual assistance (when...) and (At time): Through coolant circulation or hot air duct, the cabin... Waste heat transferred to the cabin This enables the cascade utilization of waste heat, avoiding simple discharge into the environment. ;in, For pump efficiency, To minimize the effective temperature difference, For the cabin Arrival cabin The heat transfer power, i.e., the active migration of waste heat from the high-temperature chamber to the low-temperature chamber, For cabin With cabin Thermal resistance is a structural parameter that determines the magnitude of heat flux; the lower the thermal resistance, the easier the heat transfer. High temperature → diesel engine preheating mutual support (when there is no cryogenic chamber to receive heat or the chamber...). Temperature reached target): Transfer the high-temperature chamber residual heat Transferred to the diesel engine cooling water circuit for preheating or maintaining engine temperature: ;in, The waste heat power transferred to the diesel generator set is used for preheating the unit or maintaining its hot state. For the first The heat production rate of the chamber is the total heat generated by electrochemical reactions and Joule heating. For the first The cabin's natural heat dissipation capacity, i.e., the heat flow without active cooling. The waste heat recovery rate determines the share of waste heat that can be recovered and utilized. This reduces the preheating energy consumption of the diesel engine unit itself and achieves "using waste heat to offset cooling".

[0095] Heat pump-assisted enhancement (when temperature difference) However, when there are significant differences in thermal health, and the natural temperature difference is insufficient to drive heat flow, electrical energy is consumed to "force" an increase in the quality of thermal energy, thus achieving heat transfer when the temperature difference is insufficient: a heat pump is used to increase the quality of thermal energy, forcibly pumping heat from the low-health chamber (overheated) to the area requiring preheating. ;in, The coefficient of performance (COP) is the actual cooling efficiency, also known as the heat pump performance efficiency, which measures the ratio of electrical energy input to heat transfer. The heat transferred by the heat pump is the heat flow pumped from a low-temperature heat source to a high-temperature hot end. The electrical energy consumed by the heat pump, i.e., the power input required to drive the compressor. This refers to the high-temperature hot end temperature, i.e., the temperature on the heat receiving side. This refers to the temperature of the low-temperature heat source, i.e., the temperature on the heat extraction side. Mechanical efficiency, i.e., the energy loss coefficient of the compressor and transmission system; sacrificing some electrical energy (from surplus photovoltaic power or the power grid) to drive the heat pump in exchange for a more balanced overall heat distribution;

[0096] Termination of thermal mutual aid: When the cluster temperature variance and When the heat distribution is determined to be balanced, the heat exchange mode is gradually phased out and the normal economic dispatch mode is returned to.

[0097] like If no cluster heat distribution imbalance is found, then heat distribution health processing is performed:

[0098] Confirm that the thermal health index of each cabin meets the requirements: Interval; Extreme value difference Coefficients of Dispersion ;

[0099] Conventional economic optimization release: Remove power constraints based on thermal state, restoring the original economic optimization scheme determined by the compliance judgment of SOC strategic reserves and the judgment of deep cycle fatigue. ;in, For the first The available power of the cabin indicates that when the thermal distribution is healthy, the restrictions are lifted and full regulation capacity is restored.

[0100] Heat exchanger network standby: Maintain low-speed operation of the coolant circulation pump (to maintain uniform pipeline temperature and reduce energy consumption). ), but does not actively drive large-scale thermal migration, serving only as a monitoring backup; among which, The standby pump power consumption, i.e., the energy consumption to maintain low-speed circulation, is approximately 5% of the rated power consumption. This is the pump's rated power consumption, i.e., the power consumption when running at full speed.

[0101] Output parameter package : If it is determined that there is no uneven heat distribution in the cluster, perform pre-judgment and scheduling of hot charging risks; if it is still determined that there is uneven heat distribution in the cluster and the dispersion coefficient is reduced after heat mutual assistance... If the decrease is slow, a "cluster hot management bottleneck alarm" will be triggered. The current allocation plan will be maintained and the operation and maintenance will be notified. The hot charging risk pre-judgment and scheduling will not be performed until the imbalance is relieved.

[0102] This embodiment also provides a method for performing pre-judgment and scheduling of hot charging risks, specifically: extracting the parameter package output from the cluster hot distribution balance judgment. Extract the parameter package output from the multi-source parameter acquisition and validity determination process. ;

[0103] Calculate net power surplus (future) Time period): ;in, For the first Net power surplus during a given period, which is the remaining power after subtracting the load and diesel generator base output from the wind and solar power output, determines whether energy storage charging is needed. For the first Forecasted photovoltaic output for a specific time period, i.e., the photovoltaic power generation capacity predicted in the very short term. For the first Forecasted wind power output over a short period, i.e., the wind power generation capacity predicted in the very short term. For the first Periodic load demand, i.e., electricity demand forecasts for the very short term. For the first The basic output of the diesel generator set during the time period, i.e. the power of the diesel generator set in the economic optimization plan;

[0104] when When there is no power surplus, no charging is needed, and discharging may even be required; there is no risk of overcharging during this period. At that time, the surplus power needs to be absorbed by energy storage, and the required charging power for each time period needs to be calculated. : ;in, The total charging power for the cluster is the sum of the rated charging power of all energy storage modules, which is the upper limit of the charging capacity.

[0105] Predicting the generation of charging heat (Joule heating and chemical reaction heat): Based on the rate-temperature coupled model established by the deep cycle fatigue assessment, predicting the generation of the first charge cycle. Cabin temperature rise due to charging during certain periods : ;in, For the first Time period Cabin temperature rise prediction, i.e., the temperature rise caused by charging. The heat generated by the electrochemical reaction, specifically the heat of the side reaction during the lithium-ion insertion / extraction process, is positively correlated with the rate of increase. For the first Cabin heat capacity, which is the conversion factor between temperature change and heat input. The time period is the length of the time frame, i.e., the time base for temperature rise calculation. (Charging current, assuming constant voltage approximation). The internal resistance is based on the current temperature. The adiabatic coefficient is the percentage of net temperature rise after heat dissipation from the cooling system; 0 represents complete heat dissipation, and 1 represents complete insulation. It is the rated voltage, i.e., the voltage reference under constant voltage approximation, used for current calculation;

[0106] Predicting natural heat dissipation capacity: based on ambient temperature prediction Calculate the natural cooling rate without active cooling, based on the current cabin temperature. : ;in, Ultra-short-term ambient temperature forecasts from meteorological departments or on-site weather stations are updated simultaneously with wind and solar forecasts. The thermal resistance of the cabin to the environment is a structural parameter that determines its natural heat dissipation capacity. The natural cooling efficiency is an efficiency coefficient that takes into account the combined effects of convection and radiation. For the first The temperature drop during a period of natural cooling, i.e., the temperature decrease without active cooling;

[0107] Projecting Future Temperature Trajectory (Part 1) (Predicted temperature at the end of the period): ;in, For the first End of period Predicted cabin temperature, i.e., the future temperature trajectory after considering both heat generation and dissipation. For the first The current temperature of the cabin, i.e., the predicted starting temperature. For the first The temperature rise during the heat generation period, that is, the cumulative temperature rise up to the [number]th period. Total heat production during the period For the first Heat dissipation and cooling during specific time periods, i.e., accumulated until the [number]th [period]. Total heat dissipation over time period For accumulative indexing, use it to range from 1 to... Time period traversal, The target time period is the predicted future time.

[0108] Define two criteria for risk assessment: Criterion 1: Absolute temperature exceedance risk (any time period exceeding) ) ;in, The absolute temperature exceedance risk indicator is set as "true," indicating that the predicted temperature in a certain cabin at a certain time exceeds [a certain threshold]. , This indicates the 8 time periods, Each cabin is traversed, as long as any... If the combination meets the temperature limit requirement, an absolute risk is determined; Criterion 2: Risk of depletion of thermal safety margin (based on the determination of heat accumulation and pre-regulation). (Cumulative consumption) defines the time period Cumulative thermal stress increment : ;when Accumulated risk is triggered at any time: ;in, For the first Time period The accumulated thermal stress in the cabin, which represents the proportion of thermal safety margin consumed, quantifies the degree of erosion of thermal buffering capacity. For the first Cabin thermal safety margin is the "thermal distance" between the current temperature and the high-temperature limit. This is the thermal stress threshold, which is the maximum allowable proportion of heat margin to be consumed; exceeding this threshold triggers cumulative risk. This is an indicator of the risk of depletion of the thermal safety margin; a true value indicates that a cabin has accumulated more than 80% of its thermal margin depletion. This means that if any combination of accumulated thermal stress exceeds the limit across all time periods and cabin dimensions, a cumulative risk is identified; a comprehensive thermal charging risk assessment is performed, and the risk level is quantified. ; ;in, To comprehensively assess the risk of overheating, a dual-criteria AND logic is used, triggering pre-scheduling only when both high charging power and overheating risk are simultaneously satisfied. To ensure thermal safety during charging, a charging power threshold is set to avoid heat generation during high-rate charging. To address the risk of exceeding temperature limits, i.e., the first criterion output, For the risk of depletion of the thermal safety margin, i.e., the output of criterion two, This means that as long as the charging power exceeds the thermal safety threshold at any given time, the high-power charging condition is met. To quantify the risk level, This indicates a critical level, meaning the predicted temperature is critical for thermal runaway or the thermal margin has been completely exhausted, requiring immediate shutdown. This indicates a high level of severity, meaning the absolute temperature has exceeded the limit and the cluster's thermal distribution is healthy, requiring mandatory pre-cooling. This is a medium-level situation, meaning there is only accumulating risk without any absolute breakthrough, requiring power limitation. The risk level is low, meaning there is no significant risk and the system is operating normally. This is the critical temperature for thermal runaway, an absolute safety threshold; exceeding it may trigger thermal runaway. That is, there exists any Make , That is, for all All , That is, there exists any Make ;

[0109] Execution of branch determination and scheduling: Branch A: Pre-scheduling of hot charging risk ( Target temperature setting: To ensure that the temperature does not exceed [a certain value] after charging. The cabin temperature needs to be lowered before charging. : ;in, For the first The target pre-cooling temperature for the charging chamber is the temperature it needs to reach before charging, ensuring that it does not exceed the set temperature after charging. , The safety margin acts as a buffer between the target temperature and the high-temperature limit, addressing prediction errors; active cooling power calculation (based on the liquid cooling model for single-compartment thermal boundary safety determination): needs to be performed within... (Current moment) to (The first high-charging-power period) time window Inside, the temperature will be changed from Down to : ;like If the maximum cooling capacity is not met, precooling is deemed infeasible, triggering a power limiting strategy; among which, For the first Cabin precooling power, that is, in The cabin temperature will be reduced to Required cooling power The current ambient temperature is the heat dissipation boundary condition for the pre-cooling calculation. This refers to the thermal resistance of the cabin to the environment, i.e., its natural heat dissipation capacity. The maximum cooling capacity, i.e., the physical upper limit of the refrigeration system, is considered unfeasible if exceeded; thermally constrained charging upper limit: limiting the power during future high-risk charging periods to the thermal safety factor. : Priority is given to thermal health index High cabin (performing cluster thermal distribution equilibrium determination) ) undertakes the charging task, The lower compartments are prohibited from charging or must be switched to low-power discharge for heat dissipation; among them, The thermal safety charging rate refers to the maximum allowable charging rate during periods of high temperature risk. For the first Time period The upper limit of thermally constrained charging in the cabin, which is the actual allowable charging power after considering the comprehensive thermal health index and the rate limit, For the first Total charging demand during a given period, i.e., the power to be absorbed determined by the net power surplus; power deficit transfer: insufficient absorption of surplus power due to restricted charging is balanced by diesel generator load reduction or solar power curtailment (if permitted). ; ;like (Minimum technical output) will trigger the light-wasting strategy: ;in, For the first The power absorption gap during a given period refers to the surplus power that cannot be absorbed after thermal limitation. The sum of the thermally constrained charging capabilities of the cluster, i.e., the actual power that can be absorbed after the constraints of each compartment. For the first During certain periods, the diesel generator sets reduce their output, i.e., decrease power generation to increase the space for photovoltaic power consumption. The power output for the diesel generator set foundation is the original economically optimized plan value. This is the minimum technical output, which is the lower limit for diesel generator unit operation; if it falls below this level, the unit must be shut down. For the first Curtailment of power during peak charging periods is the last resort when power cannot be absorbed or reduced; power reduction during current peak charging periods refers to power cuts made before the predicted peak charging period arrives. Reduce the current operating power of each cabin to Reduce heat generation during operation and utilize natural heat dissipation to lower the base temperature: The reduced power demand will be temporarily met by diesel generator sets. ;in, This refers to the pre-scheduling lead time, i.e., the power reduction window before the peak charging period. This refers to standby power, which is the extremely low operating power reduced to during the pre-scheduling period. For the first The current power reduction value of the cabin, that is, the actual operating power during the pre-scheduling period. This is to temporarily increase the power output of the diesel generator set, i.e., to meet the power demand after the energy storage reduction. The basic compensation value for the diesel generator set cluster is the already undertaken compensation for heat distribution imbalance; pre-start of the heat exchange pipeline network: start the high-speed circulation of coolant in advance, utilizing the cryogenic chamber ( The heat absorption capacity of the high-temperature chamber is... Preheating: ;in, This refers to the heat transfer during the pre-cooling period, i.e., the heat transferred by the heat pipe network in advance. The average temperature of the cryogenic chamber serves as the cold end temperature reference for heat exchange. The thermal resistance of the circulation loop is a parameter representing the heat transfer capacity of the heat pipe network. Pump efficiency, i.e., thermal cycle drive efficiency. This represents an index of all cabins whose current temperature exceeds the warning threshold. Perform a traversal and summation, i.e., the set of high-temperature chambers;

[0110] Branch B: Thermally Stable Conventional Scheduling When the following conditions are met simultaneously: maximum predicted temperature in the next 2 hours Cumulative thermal stress For all , Establishment, or When there is no thermal risk during low-rate charging, it is determined to be "thermally stable," and the thermal constraint is released. For the first Cabin Time-based temperature forecast, i.e., the future temperature trajectory. As a safety margin, a temperature buffer is used to determine thermal stability. For the first Cabin The cumulative thermal stress over a period of time, i.e., the proportion of heat margin consumed. The thermal safety charging power threshold is the benchmark for determining whether low-rate charging poses no thermal risk. Full economic optimization is achieved by adopting the operating layer capacity determined by compliance assessments of the SOC strategic reserve. Power allocation of health cabins in accordance with the cluster thermal distribution balance determination Dispatch according to the principle of minimum marginal cost: ;in, The cost of diesel fuel is the cost coefficient for economic optimization. For the first The output of the diesel generator set during specific time periods is used to optimize decision variables. This refers to the depreciation cost of energy storage, which is the cost factor inherited from the deep cycle fatigue life accounting. For the first Time period Cabin energy storage power is used to optimize decision variables; cooling system standby: active cooling power is reduced to standby level. (5-10% of rated power) to maintain only the basic cycle, reducing energy consumption. This refers to the standby power of the cooling system, i.e., the low-energy-consumption operating mode under healthy conditions.

[0111] Output parameter package And execute control command generation and closed-loop feedback: ;in, This is a power absorption gap sequence used to guide diesel generator set load reduction or solar power curtailment decisions. This is a sequence of discarded optical power, used as a final means of elimination.

[0112] This embodiment also provides execution control command generation and closed-loop feedback, specifically: extracting all parameter packages and constructing a full-state fusion vector: ;

[0113] Generate energy storage compartment charge / discharge power curves Future based on hot charging risk prediction and scheduling =8 time periods and real-time control (second-level) two-layer architecture: day-to-day layer (15-minute granularity, ): ;in, For the first Time period The upper limit of thermally constrained charging in the cabin is the day-to-day inner-layer power benchmark. For the first The cabin thermal health index is a power allocation weight. For the first Cabin rated power, i.e., maximum capacity. For the first The charging / discharging symbol for a given period is derived from the net power surplus. The sign is determined (positive for charging, negative for discharging), and is subject to fatigue constraints imposed by the deep cycle fatigue determination: ;in, For the first Net power surplus during a given period is used to determine the direction of charging and discharging. For the first Time period SOC prediction for the cabin, used for boundary checks to prevent overcharging and over-discharging. For the first The upper limit of cabin dynamic SOC, i.e., the upper limit constraint on the reduction under high temperature. This refers to the lower limit of SOC during the repair period, i.e., the lower limit of discharge under fatigue conditions; real-time control layer (second-level, ): Residual power after second-level fluctuation smoothing by introducing supercapacitors Real-time tracking via energy storage: ;in, The residual power fluctuation is on the order of seconds, meaning the residual fluctuation after being smoothed out by the supercapacitor, requiring real-time tracking by energy storage. For the first The cabin's real-time power output is the superposition of the planned output and second-level fluctuations. For the first Cabin dynamic power distribution coefficient, based on real-time thermal health index Deviation from SOC: ;in, For the first The cabin's real-time thermal health index, i.e., its dynamically updated health status, is measured in real time. For the first The target SOC of the cabin, i.e., the SOC trajectory target determined by economic optimization, For the first The cabin's real-time SOC, i.e., the current state of charge. This is the set of currently available cabins;

[0114] Determine the start-up, shutdown, and power output plan for the diesel generator set. Start / Stop Status Determination: ;in, For the first Status of the diesel generator set during the specified time period. This indicates a shutdown state, meaning a complete shutdown when there is no demand and the SOC is sufficient. For the first The required output of the diesel generator set during a given period, i.e., the calculated value of the system power balance. To contribute the minimum technical effort, i.e., to implement the lower bound constraint. This is a sign of cyclic fatigue, i.e., a triggering condition for forced heat engine standby. This is a check of the energy storage support capacity for cluster SOC, i.e., the determination of shutdown. This is the emergency SOC threshold; below this value, shutdown is prohibited and diesel fuel support is required. This indicates the idling state, a low-power standby mode used when there is no demand but the engine needs to be warmed up for standby. Indicates operating status, whether generating power normally or compensating for power shortfall; power output plan synthesis: ;in, For the first The combined output of the diesel engines during different time periods refers to the final output after incorporating multi-step compensation. This refers to the upper limit of power, i.e., the rated capacity constraint. The base value for cluster compensation, i.e., the power borne by the imbalance in heat distribution. This refers to the temporary power increase, i.e., the power that is reduced by energy storage during the pre-dispatch period. This refers to the power used for thermal compensation, i.e., the power transferred within the thermal stress chamber. The temporary load increase demand caused by pre-cooling for hot charging risk prediction and scheduling, i.e., the additional power driving the cooling system: ;in, For the first Cabin pre-cooling power, i.e., cooling energy consumption requirements. This refers to the end of the pre-cooling process, i.e., the duration of the pre-cooling requirement. The waste heat utilization efficiency of the diesel engine unit is the efficiency coefficient of using waste heat from cooling water for preheating.

[0115] Determine the task of smoothing second-level fluctuations in supercapacitors High-frequency component extraction (for net power) (Decompose the time scale) Using a high-pass filter (cutoff frequency) =1 / 60Hz, corresponding to a 1-minute period) Extracting second-level fluctuations: ;in, for Net power at any given time is the power required for regulation after subtracting wind and solar power output and curtailment from the load. for Real-time load, i.e., real-time electricity demand. for Real-time photovoltaic power output, i.e., real-time photovoltaic power generation. for Real-time wind power output, i.e., real-time wind power generation. for Curtailed solar power, i.e., the reduction in photovoltaic power that cannot be absorbed. for The target power of the supercapacitor at any given time is the second-level fluctuation component extracted by the high-pass filter. This is a high-pass filter operator, i.e., a time-scale decomposition tool for separating high-frequency fluctuations. The integral variable is the smoothing time constant. Historical power within, =60 seconds is the smoothing time constant;

[0116] Energy Constraint and Recovery: Available energy of the supercapacitor obtained through multi-source parameter acquisition and validity determination. With maximum response power constraint: ;when At this time, low-speed recovery charging is triggered: ;in, for The actual power of a supercapacitor at any given time is an operational value constrained by energy and power requirements. This refers to the maximum power of the supercapacitor, which is the upper limit of its physical response capability. for The available energy of a supercapacitor at any given time, that is, the total amount of electrical energy that can be released at any given moment. The demand duration serves as the time base for energy constraint calculations. This is the minimum energy threshold, i.e., the lower limit of the SOC that triggers recovery charging. This restores the charging power of the supercapacitor, i.e., the low-speed recharge power when the energy is insufficient. This refers to the rated power of the supercapacitor, which is the upper limit of its ability to recover and recharge. This refers to the rated energy of the supercapacitor, i.e., the total energy in a fully charged state. This refers to the recovery time requirement, i.e., the allowed duration of energy recharging;

[0117] Determine the start / stop status of thermal management equipment Multi-mode collaborative control: ;in, For the first Time period Cabin thermal management mode This indicates the preheating mode, where the cryogenic chamber utilizes waste heat from multiple energy sources to raise its temperature. This indicates a pre-cooling mode, meaning the high-temperature risk chamber is actively cooled in advance. This indicates the thermal recovery mode, which is a forced repair of the overloaded thermal chamber. This indicates the heat exchange mode, i.e., the heat flow migration between high and low temperature chambers. This indicates standby mode, i.e., low-power monitoring during a healthy state. The low temperature threshold is the condition for determining preheating start-up. This is a time-period index used for checking the warm-up time window. Preheating must be completed before the arrival of the cold wave. For the first Predicted temperature for the time period, i.e., the predicted trigger condition for pre-cooling start. The minimum effective temperature difference is the temperature threshold for the start-up of the heat exchanger; Power setting: Preheating mode: Pre-cooling mode: Heat recovery: Heat exchange: ;in, For the first Cabin heating power, i.e., output power in preheating mode. Waste heat from the diesel engine cooling water serves as a multi-energy synergistic heat source. Waste heat recovery rate, which is the proportion of waste heat that is actually usable. Heating efficiency, i.e., the heat transfer loss coefficient, The rated cooling power is the benchmark for the cooling capacity in heat recovery mode. This is a temperature-sensitive derating factor, a temperature-based correction for cooling power. For cabin To the cabin The pump power, i.e., the cycle drive power in the heat exchange mode, and For cabin ,cabin Temperature is the driving force of temperature difference in the mutual exchange of heat;

[0118] Constructing a timing control instruction matrix Distribute to the executors of each subsystem: ;in, The target temperature for the diesel engine cooling water. This is the supercapacitor enable flag;

[0119] Execution cycle: closed-loop feedback and next round of progressive triggering Next, actual operating data is collected: the actual SOC is obtained through high-precision coulomb counting by the BMS, denoted as... The actual temperature is obtained through distributed fiber optic / infrared sensors and denoted as... The actual power is obtained through a power transmitter. , , Actual thermal management power consumption: , Communication status: Detect the communication validity of each sensor; calculate the power tracking error: ;like The module was marked as "execution abnormal," and adjustments to the multi-source parameter acquisition and validity determination will be made in the next round of execution. or ; Calculate the temperature prediction error: ;use Update thermal generation model parameters or heat dissipation thermal resistance ; Calculate the SOC estimation error (correcting the ampere-hour measurement): ;like If the value remains too high, it triggers the execution of multi-source parameter acquisition and validity determination, coulomb counter reset, or SOC-OCV joint calibration. A feedback data package is then constructed. This is mapped to the input parameters used for multi-source parameter acquisition and validity determination: New cycle parameter initialization: Update the current SOC distribution for multi-source parameter acquisition and validity determination. Update the real-time temperature field for multi-source parameter acquisition and validity determination: Update the deep loop counter H for multi-source parameter acquisition and validity determination: if And the duration is greater than 1 hour. ;in, This is a deep loop equivalent accumulation used for updating the loop counter. , , The weights are depth, temperature, and magnification, respectively; the heat accumulation index for performing heat accumulation and pre-control determination is updated. The state of charge of the supercapacitor is updated via a sliding window to perform multi-source parameter acquisition and validity determination. Progressive loop closure: ;in, The input parameter package for acquiring and validating multi-source parameters in the new cycle is used for progressive loop restart. A new round of progressive judgments will be initiated for ultra-short-term forecasts that are updated on a rolling basis.

[0120] In this embodiment, through segmented SOC strategic reserves and deep cycle fatigue management technology, the energy safety boundary of the energy storage system is refined and dynamically controlled, and the equipment cycle life is significantly extended. Through the construction of thermal-electric coupling safety domain and cluster thermal load spatiotemporal migration optimization technology, the system achieves efficient utilization of thermal resources in a tiered manner and comprehensive prevention and control of thermal runaway risk. Through ultra-short-term wind and solar power prediction-driven thermal charging risk pre-scheduling and multi-timescale collaborative closed-loop feedback control technology, the system achieves adaptive optimization adjustment of renewable energy output uncertainty and long-term safe, stable and economical operation of multi-energy systems.

[0121] In the embodiments, all All mean "and", that is, all conditions must be met. "All" means "or", meaning that any one of the conditions must be met; all of them... These are all indicator functions; they take the value 1 if the condition in parentheses is true, and 0 otherwise.

Claims

1. A method for intelligent coordinated control among wind, solar, diesel, and energy storage, characterized in that: include: Perform multi-source parameter acquisition and validity determination, obtain key data, and determine whether the key data is complete and valid; To determine the compliance of SOC strategic reserves, based on the uncertainty level of wind and solar forecasts, check whether the strategic SOC reserves meet the corresponding thresholds. Perform a deep cycle fatigue assessment and check whether the energy storage deep charge-discharge cycle counter for the past 24 hours exceeds the set threshold. Perform a single-compartment thermal boundary safety assessment and check whether the temperature of each energy storage compartment is within the optimal electrochemical range of 15-35℃. Perform heat accumulation and pre-control judgment, check whether the heat accumulation counter exceeds the limit, and check whether the extreme weather pre-control is in place; Perform cluster thermal distribution balance determination, and check whether there is thermal imbalance within the cluster based on the thermal health index of each cabin; Perform risk assessment and scheduling for hot charging, and check whether there will be a situation where a large amount of photovoltaic power generation requires high-power charging of energy storage and the current temperature of each compartment is too high. The execution control command generation and closed-loop feedback, combined with the results of the aforementioned seven steps, generate the final control command. After execution, the actual SOC, temperature, power, and thermal health index data are fed back to the execution multi-source parameter acquisition and validity determination, and the next progressive determination cycle is started.

2. The intelligent coordinated control method among wind, solar, diesel, and storage energy sources according to claim 1, characterized in that: Perform multi-source parameter acquisition and validity determination, specifically as follows: Establish a multi-dimensional parameter input space and define the system state observation vector; Establish a triple judgment criterion of communication validity, numerical rationality, and logical consistency; If the data is determined to be invalid, the fixed conservative mode is triggered; If the data is determined to be ready, a standardized parameter package is output.

3. The intelligent coordinated control method among wind, solar, diesel, and storage energy sources according to claim 1, characterized in that: The compliance determination for implementing SOC strategic reserves is as follows: Extract standardized parameter packages and strategic reserve demand coefficients; Extract the state-of-charge distribution matrix of the energy storage system; Calculate the conservative equivalent charge state of the cluster; Calculate the total available energy for the current cluster; Based on the strategic reserve demand coefficient determined by the current uncertainty rating, the energy boundaries of the strategic layer and the operational layer are defined. Establish a reserve adequacy determination function to assess the compliance of strategic reserves; If the output of the reserve adequacy determination function is 0, it is determined as a "boundary warning", and the strategic reserve gap is calculated. Execute a forced compression strategy for the runtime layer; Execution power limiting and functional isolation; Implement a strategy to shift to a strategy based on significant price fluctuations; Output conservative mode instruction set; If the reserve adequacy determination function outputs 1, the system is deemed "reserve is safe," and the tiered capacity allocation scheme is confirmed. Locking in strategic layer capacity; Release runtime layer capacity; Calculate the adjustment margin; Unlimit power permissions; Update the system status parameter package; Perform deep cyclic fatigue assessment.

4. The intelligent coordinated control method among wind, solar, diesel, and storage energy sources according to claim 1, characterized in that: Perform deep cyclic fatigue assessment, specifically as follows: Extract the updated system status parameter package; Calculate the depth weight for a single loop; Calculate the temperature stress correction factor; Calculate the magnification stress correction factor; Calculate the equivalent depth cycle accumulation over 24 hours; Perform fatigue threshold determination and condition classification; If the risk of cyclic fatigue is determined, then the SOC operating range will be forcibly contracted. Perform power limiting and function stripping; Re-implement the SOC strategic reserve compliance determination trigger mechanism; Execute the repair period lockout timer; If the cycle is determined to be healthy, then perform a full power regulation capability verification. Output the final allocation scheme; Output the enhanced parameter package and perform single-compartment thermal boundary safety determination; Perform dynamic decay of accumulated fatigue.

5. The intelligent coordinated control method among wind, solar, diesel, and storage energy sources according to claim 1, characterized in that: The single-compartment thermal boundary safety determination is performed as follows: Extract the enhanced parameter package; Establish a temperature state determination threshold system; Calculate the temperature deviation of each compartment; The energy storage compartment is divided into three mutually exclusive subsets; Count the number of elements in each set; Calculate the percentage of healthy cabins; Perform low-temperature limitation assessment and multi-energy waste heat preheating; Perform high-temperature criticality determination and derating cooling; Perform normal thermal state and progressive output.

6. The intelligent coordinated control method among wind, solar, diesel, and storage energy sources according to claim 1, characterized in that: The determination of heat accumulation and pre-regulation is performed as follows: Extract the output parameter package for single-compartment thermal boundary safety determination; Obtain historical temperature logs for each energy storage compartment; Define a temperature proximity function to quantify how close the current temperature is to the high-temperature warning threshold; Calculate the heat accumulation index of each compartment within the time window; Set a heat accumulation threshold and establish a three-level thermal stress determination system; Obtain extreme weather warnings issued by meteorological departments; Establish a pre-regulation action recording matrix to record the pre-regulation actions that have been executed; Define the criteria for determining whether pre-control measures are in place; Comprehensive pre-regulation status; Establish a composite decision matrix to perform multi-condition coupled decision and branching processing.

7. The intelligent coordinated control method among wind, solar, diesel, and storage energy sources according to claim 1, characterized in that: Perform cluster heat distribution balance determination, specifically as follows: Extract the enhanced parameter package from the output of the heat accumulation and pre-regulation determination; Construct a comprehensive thermal health index that integrates the multi-dimensional thermal-electrical-aging state, including the determination of deep cycle fatigue, the determination of single-compartment thermal boundary safety, and the determination of thermal accumulation and pre-regulation. Calculate the coefficient of variation of the thermal health index distribution; Set imbalance judgment threshold and extreme imbalance threshold to determine whether there is an uneven distribution of heat in the cluster, that is, whether there is a coexistence of extreme hot and cold compartments; Check the extreme value difference; If it is determined that there is an uneven distribution of heat in the cluster, heat distribution imbalance processing is performed. If it is determined that there is no uneven cluster heat distribution, perform heat distribution health processing; Output parameter package; If it is determined that there is no uneven distribution of cluster heat, perform hot charging risk pre-judgment and scheduling; If it is still determined that there is an uneven distribution of heat in the cluster and the dispersion coefficient decreases slowly after heat mutual assistance, then the "cluster heat management bottleneck alarm" will be triggered, the current allocation plan will be maintained and the operation and maintenance will be notified, and the heat charging risk pre-judgment and scheduling will not be performed until the imbalance is relieved.

8. The intelligent coordinated control method among wind, solar, diesel, and storage energy sources according to claim 1, characterized in that: Perform hot charging risk prediction and scheduling, specifically as follows: Extract the parameter package from the output of the cluster heat distribution balance determination; Extract the parameter package output from the multi-source parameter acquisition and validity determination process; Calculate net power surplus; Perform charging heat generation prediction; Predicting natural heat dissipation capacity; Projecting future temperature trajectories; Define dual criteria for risk assessment; Conduct a comprehensive assessment of thermal charging risks and quantify the risk level; Execute branch determination and scheduling; Output parameter package and execute control command generation and closed-loop feedback.

9. The intelligent coordinated control method among wind, solar, diesel, and energy storage as described in claim 1, characterized in that: The execution of control command generation and closed-loop feedback is as follows: Extract all parameter packets and construct a full-state fusion vector; Generate the charge / discharge power curve of the energy storage compartment; Determine the start-up, shutdown, and power output plan for the diesel generator set; The task of smoothing out second-level fluctuations in supercapacitors was determined. Determine the start / stop status of the thermal management equipment; Construct a timing control instruction matrix and distribute it to the actuators of each subsystem; Execute closed-loop feedback and trigger the next round of progressive execution.

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