CN-121983991-A - Energy storage unit direct control method, equipment, medium and product based on frequency modulation mileage

CN121983991ACN 121983991 ACN121983991 ACN 121983991ACN-121983991-A

Abstract

The application provides an energy storage unit direct control method, equipment, medium and product based on frequency modulation mileage, which comprises the following steps of establishing and updating a heterogeneous battery unit state model of an energy storage power station, recording the current charge state, the health state and the historical accumulated frequency modulation mileage of each battery unit by the model, extracting time-frequency domain characteristics of a received automatic power generation control frequency modulation instruction, decomposing the instruction into a plurality of frequency modulation subtasks comprising different frequency components in a time dimension according to the time-frequency domain characteristics, calculating load balance values corresponding to the historical accumulated frequency modulation mileage, combining the health state and the current charge state, calculating to obtain comprehensive evaluation scores, determining matched target battery units according to the scores, generating a power execution instruction, driving the target battery units to execute the instruction, and accumulating the frequency modulation mileage generated by the execution. By implementing the technical scheme provided by the application, the adaptive distribution and balanced control of the frequency modulation task can be realized, and the frequency modulation response precision and the operation life of the energy storage system are improved.

Inventors

PAN YINGCHAO
DUAN XIAOHAN

Assignees

北京如实智慧电力科技有限公司

Dates

Publication Date: 20260505
Application Date: 20260202

Claims (10)

1. The energy storage unit direct control method based on the frequency modulation mileage is characterized by comprising the following steps of: Establishing and updating a heterogeneous battery unit state model of the energy storage power station, wherein the heterogeneous battery unit state model records the current state of charge, the health state and the historical accumulated frequency modulation mileage of each battery unit; Responding to a received automatic power generation control frequency modulation instruction, extracting a time-frequency domain characteristic of the automatic power generation control frequency modulation instruction, and decomposing the automatic power generation control frequency modulation instruction into a plurality of frequency modulation subtasks comprising different frequency components in a time dimension according to the time-frequency domain characteristic; calculating a load balance value corresponding to the historical accumulated frequency modulation mileage, and integrating the load balance value, the health state and the current state of charge to obtain a comprehensive evaluation score of each battery unit; determining a target battery unit matched with each frequency modulation subtask from the battery units according to the comprehensive evaluation scores, and generating a power execution instruction for controlling the target battery unit; and driving the target battery unit to execute the power execution instruction, and accumulating the frequency modulation mileage generated by the current execution to the historical accumulated frequency modulation mileage of the target battery unit.
2. The method according to claim 1, wherein the building and updating of the heterogeneous cell state model of the energy storage power station comprises: establishing a state model of each heterogeneous battery unit by using basic physical parameters of each battery unit, wherein the basic physical parameters comprise maximum charge and discharge power; Collecting dynamic operation parameters of each battery unit, and updating the heterogeneous battery unit state model in real time by utilizing the dynamic operation parameters, wherein the dynamic operation parameters comprise real-time temperature and the current state of charge; And after each time of completing the frequency modulation subtask, updating a life statistical record in the heterogeneous battery unit state model according to the accumulated cycle times, the using days and the historical accumulated frequency modulation mileage of the battery unit.
3. The method according to claim 1, wherein the decomposing the automatic power generation control tuning instruction into a plurality of tuning subtasks including different frequency components in a time dimension according to the time-frequency domain features, specifically comprises: Counting the number of zero crossing points and the number of power direction change times of the automatic power generation control frequency modulation instruction in a preset time window, and determining the frequency type category of the automatic power generation control frequency modulation instruction based on the number of zero crossing points and the number of power direction change times; If the frequency type class is judged to be a high-frequency signal meeting a preset high-frequency condition, a interception window is built according to the preset time window length, the interception window is translated on a time axis of the automatic power generation control frequency modulation instruction according to a preset overlapping step length, and a plurality of short-time frequency modulation subtasks are intercepted in sequence based on the translated interception window; if the frequency type class is judged to be a low-frequency signal meeting a preset low-frequency condition, performing equipartition decomposition on the automatic power generation control frequency modulation instruction according to a preset fixed segmentation number or a preset long-period time interval to obtain a plurality of long-time energy subtasks; If the frequency type class is judged to be a mixed signal, identifying power zero crossing point moments in the automatic power generation control frequency modulation command, acquiring command fragments between two adjacent power zero crossing point moments, and respectively constructing each command fragment into a mixed frequency modulation subtask.
4. The method of claim 1, wherein the calculating the load balancing value corresponding to the historical accumulated fm mileage specifically comprises: Acquiring statistical distribution characteristics of the historical accumulated frequency modulation mileage of all the battery units participating in frequency modulation in the energy storage power station; Calculating the deviation degree of the historical accumulated frequency modulation mileage of each battery unit from a preset mean value index in the statistical distribution characteristic; if the historical accumulated frequency modulation mileage is lower than the mean value index, calculating to obtain the load balance value with the value larger than a preset reference value based on the deviation degree; and if the historical accumulated frequency modulation mileage is higher than or equal to the mean value index, calculating to obtain the load balancing value with the value smaller than or equal to the preset reference value based on the deviation degree.
5. The method of claim 4, wherein the calculating the composite evaluation score of each battery unit by integrating the load balancing value, the health status, and the current state of charge comprises: calculating an absolute value of a difference value between the current state of charge and a preset target state of charge, and generating a state of charge preference score based on the absolute value; generating a health score indicative of the degree of aging of the battery cell based on the cycle number parameter and the calendar life parameter in the state of health; Acquiring the real-time temperature of the battery unit, and calculating a temperature deviation score based on the real-time temperature, wherein the temperature deviation score represents the approaching degree of the real-time temperature and a preset optimal operation temperature interval; Respectively distributing corresponding preset weight coefficients for the load balancing numerical value, the state of charge preference score, the health score and the temperature deviation score; And carrying out summation calculation on the weighted load balancing numerical value, the weighted charge state preference score, the weighted health score and the weighted temperature deviation score to obtain the comprehensive evaluation score.
6. The method of claim 5, wherein determining a target battery cell from the battery cells that matches each of the frequency modulated subtasks based on the composite evaluation score, and generating power execution instructions for controlling the target battery cell, comprises: Ranking the battery units according to the order of the comprehensive evaluation scores from high to low; Sequentially selecting the battery units ranked at the front as the target battery units according to the sequencing result until the total power requirement of the frequency modulation subtask is met by the adjustable power sum of all the selected target battery units; And distributing the total power demand of the frequency modulation subtask to each target battery unit according to the maximum charge and discharge power of each target battery unit and the duty ratio of the comprehensive evaluation score, and generating the corresponding power execution instruction.
7. The method according to claim 1, wherein the method further comprises: monitoring the current running state of the battery unit and a current task queue in real time; When the current running state is detected to be in an idle state and the current task queue is empty, judging whether the current state of charge deviates from a preset healthy charge interval or not; if the current charge state deviates from the healthy charge interval, generating a charging instruction or a discharging instruction with a power value equal to a preset maintenance power value according to the deviation direction, and taking the charging instruction or the discharging instruction as an active balance control instruction; And driving the battery unit to execute the active equalization control instruction, and stopping executing the active equalization control instruction when the current state of charge is monitored to be in the healthy charge interval.
8. An electronic device comprising a processor and a memory; the memory is for storing computer program code comprising computer instructions that the processor invokes to cause the electronic device to perform the method of any of claims 1-7.
9. A computer readable storage medium storing computer instructions which, when run on an electronic device, cause the electronic device to perform the method of any one of claims 1-7.
10. A computer program product, characterized in that the computer program product, when run on an electronic device, causes the electronic device to perform the method of any of claims 1-7.

Description

Energy storage unit direct control method, equipment, medium and product based on frequency modulation mileage Technical Field The application relates to the technical field of power systems, in particular to an energy storage unit direct control method, equipment, medium and product based on frequency modulation mileage. Background Along with the continuous improvement of the construction of a novel power system and the permeability of new energy, the fluctuation and randomness of the power grid frequency are increasingly enhanced, and higher requirements are put on the adjusting capability of the automatic power generation control (Automatic Generation Control, AGC) of the power grid. The high-capacity energy storage power station has become an important regulation resource which participates in the electric auxiliary service market and ensures the stable frequency of the power grid by virtue of the advantages of high response speed and high regulation precision. How to finely schedule massive battery units in an energy storage power station so as to meet the high-frequency AGC instruction of a power grid and simultaneously give consideration to the service life and safety of the battery, has become a core requirement for improving the operation benefit and the full life cycle management level of the energy storage power station. In the prior art, when a plurality of electrochemical energy storage power stations are aggregated to participate in frequency modulation, a virtual power plant or a dispatching system usually regards the energy storage power stations as a single whole to carry out black box control, and for an AGC instruction from a power grid, a simple average distribution or sequential distribution strategy is adopted to distribute the AGC instruction to each battery cluster or each battery unit. For example, the total power demand is directly apportioned to all batteries in a rated capacity ratio. However, the rough control method in the prior art ignores objective differences Of different battery units in real-time State Of Charge (SOC), state Of Health (SOH), adjustable space and historical accumulated frequency-modulated mileage. In the AGC frequency modulation instruction scene of actually accepting high frequency and large fluctuation, because the heterogeneous characteristic and real-time state difference of the battery units are not fully considered in the prior art, the non-self-adaptive power distribution mode is difficult to ensure the accurate matching of task demands and battery capacity, and often causes that part of battery units are aged too early due to excessive circulation times because of bearing excessive regulation tasks or run under the working condition of deviating from a healthy charge state interval for a long time, thereby aggravating the consistency discrete degree in a battery cluster and having the risk of causing the excessively fast attenuation of the whole available capacity of an energy storage power station and the shortening of the service life of the whole life cycle. Disclosure of Invention In view of the above, the present application provides a method, apparatus, medium and product for directly controlling an energy storage unit based on frequency modulation mileage, so as to solve the above-mentioned problems. In a first aspect, a method for directly controlling an energy storage unit based on frequency modulation mileage is provided, the method comprising: establishing and updating a heterogeneous battery unit state model of the energy storage power station, wherein the heterogeneous battery unit state model records the current state of charge, the health state and the historical accumulated frequency modulation mileage of each battery unit; Responding to the received automatic power generation control frequency modulation command, extracting the time-frequency domain characteristics of the automatic power generation control frequency modulation command, and decomposing the automatic power generation control frequency modulation command into a plurality of frequency modulation subtasks comprising different frequency components in the time dimension according to the time-frequency domain characteristics; Calculating a load balance value corresponding to the historical accumulated frequency modulation mileage, and comprehensively calculating the load balance value, the health state and the current state of charge to obtain the comprehensive evaluation score of each battery unit; determining a target battery unit matched with each frequency modulation subtask from the battery units according to the comprehensive evaluation scores, and generating a power execution instruction for controlling the target battery unit; And driving the target battery unit to execute the power execution instruction, and accumulating the frequency modulation mileage generated by the execution to the historical accumulated frequency modulation mileage of the target battery unit.