CN-121983942-A - Management system of cluster energy storage equipment

CN121983942ACN 121983942 ACN121983942 ACN 121983942ACN-121983942-A

Abstract

The invention discloses a management system of cluster energy storage equipment, which comprises a data acquisition module, a probability prediction module, a system simulation module, a safety management module and a safety management module, wherein the data acquisition module determines the arrangement state of the energy storage equipment, collects state data of each energy storage equipment unit in real time, the probability prediction module predicts fire risks of the energy storage equipment units, determines various emergency conditions and probability weights corresponding to the various emergency conditions, the system simulation module constructs a simulation model of the cluster energy storage equipment, performs simulation analysis under various emergency conditions through multiple physical fields, determines the spreading trend of disaster conditions under the various emergency conditions, and the safety management module generates a corresponding emergency response plan according to simulation results and controls the safety management equipment deployed on the cluster energy storage equipment when the disaster occurs. The invention provides a cluster energy storage equipment management system capable of real-time monitoring, accurate prediction, scientific simulation and effective management, fills the blank of the prior art, and meets the urgent need of energy storage equipment safety management.

Inventors

CAO XI
WANG YANLING
LI ZHENGRONG
WANG DAPENG
LI YOUDI
HANG NAN
MENG HUILIANG
CHEN JIAN
LIU WEI
CHENG QIAN
YANG CHAORAN
GU YI
PEI JIE
CAO CHUANZHAO
SONG JISHUO
LEI HAODONG
ZHOU LIREN
LI XIAOCHEN
LIU MINGYI
LIU BO
TONG GUOPING
WU JIAN

Assignees

中国华能集团清洁能源技术研究院有限公司
华能国际电力股份有限公司上海石洞口第二电厂
华能陇东能源有限责任公司

Dates

Publication Date: 20260505
Application Date: 20251022

Claims (10)

1. A management system for a clustered energy storage device, comprising: the data acquisition module is used for determining the arrangement state of the energy storage equipment and collecting the state data of each energy storage equipment unit in real time; The probability prediction module is used for predicting the fire risk of the energy storage equipment unit according to the state data of the energy storage equipment unit, and determining various emergency conditions and probability weights corresponding to each emergency condition according to the prediction result; the system simulation module is used for constructing a simulation model of the cluster energy storage equipment according to the arrangement state and state data of the energy storage equipment, performing simulation analysis under various emergency conditions through multiple physical fields based on the simulation model, and determining the diffusion trend of the disaster conditions under various emergency conditions as a simulation result; and the safety management module is used for generating a corresponding emergency response plan according to the simulation result and controlling safety management equipment deployed on the cluster energy storage equipment when a disaster occurs.
2. The system of claim 1, wherein the data collection module comprises: The device information acquisition unit is used for determining each device unit in the cluster energy storage device and respectively determining device data of each device unit, wherein the device data comprises device model, device parameters, connection relation, device construction and arrangement state information; The state information acquisition unit is used for determining state data of each energy storage device unit, wherein the state data comprise temperature, current electric storage capacity, input/output voltage and input/output current; the environment information acquisition unit is used for acquiring environment data around the cluster energy storage equipment, including temperature distribution and airflow direction.
3. The system of claim 1, wherein the probability prediction module performs operations comprising: for any energy storage equipment unit, historical data and test data of equipment of a corresponding model of the energy storage equipment unit are obtained in advance, a fire risk prediction model is built, and the fire risk prediction model is trained by utilizing the historical data and the test data until convergence is achieved; Preprocessing the acquired state data of the energy storage equipment unit, and extracting key characteristics related to fire risks to generate a characteristic set as an input variable of risk prediction, wherein the key characteristics comprise temperature change rate, abnormal pressure fluctuation, voltage and current fluctuation states; Inputting an input variable into a fire risk prediction model to obtain a fire risk prediction result of the energy storage equipment unit; Summarizing and counting fire risk prediction results obtained by prediction corresponding to all energy storage equipment units, and determining various emergency conditions and probability weights corresponding to each emergency condition.
4. The system for managing clustered energy storage devices of claim 1, wherein the system simulation module comprises: the scene construction acquisition unit is used for collecting scene model information of the surrounding environment of the cluster energy storage equipment in a three-dimensional scanning mode and constructing a three-dimensional scene model which is formed by combining the cluster energy storage equipment and the scene relatively based on equipment data, wherein the equipment data comprises equipment model, equipment parameters, connection relation, equipment construction and arrangement state information; the model parameter loading unit is used for loading materials and physical parameters of the equipment at the corresponding position in the three-dimensional scene model according to the equipment data of the equipment to obtain a simulation model; the multi-physical field coupling simulation unit is used for inputting the emergency according to the prediction result of the emergency, and simultaneously carrying out coupling simulation analysis on thermodynamics and hydrodynamics on the simulation model to obtain a simulation analysis result, wherein the emergency comprises short circuit, explosion and deflagration simulation aiming at any selected energy storage equipment; The simulation result generation unit is used for counting simulation analysis results under various emergency conditions with probability weights meeting preset requirements, and obtaining the diffusion trend of the disaster conditions under various emergency conditions as a simulation result.
5. The system of claim 4, wherein the multi-physical field coupling simulation unit performs the following operations: the emergency input is used for selecting any emergency based on probability weights corresponding to each emergency and carrying out short circuit, explosion and deflagration simulation on energy storage equipment corresponding to the emergency; thermal runaway diffusion simulation, namely calculating heat conduction paths and temperature gradient distribution among areas which are divided in advance in a three-dimensional scene model during thermal runaway through FDS software; Gas diffusion simulation, namely calculating diffusion paths and concentration distribution of volatile gas and hot gas flow of the electrolyte by combining FDS software and hydrodynamics; The heat diffusion simulation update is carried out, and the simulation update of the temperature gradient distribution is carried out on the whole three-dimensional scene model according to the temperature gradient distribution, the diffusion path and the concentration distribution of the hot air flow; And (3) carrying out disaster point updating prediction, namely carrying out time integral risk prediction on the energy storage equipment in a high-temperature area based on a temperature gradient updating result and the explosion combustion critical temperature of a key part in the energy storage equipment to obtain the probability of explosion combustion of the energy storage equipment in a plurality of time points predicted subsequently, wherein the time integral risk prediction formula is as follows: Wherein, the Indicating the probability of explosive combustion of the energy storage device within time t, The probability of explosive combustion of the energy storage device in unit time is represented as a risk function, Represents a base risk probability, represents a risk under normal conditions, For the temperature gradient of the energy storage device at time u, The explosion-combustion critical temperature for critical components in the energy storage device, A risk value function for determining a risk value from the temperature gradient and the critical temperature; the disaster point is updated, and an updated prediction result of each energy storage device converted into disaster point equipment in a prediction time period after the disaster is generated is obtained according to a prediction result of time integral risk prediction; and (3) heat energy updating prediction, wherein the heat energy released after explosion combustion is predicted based on the updating prediction result of disaster point equipment and the electric storage capacity of each disaster point equipment, and the calculation formula is as follows: Wherein, the Indicating the amount of heat of explosion, Indicating the efficiency of the energy release, Representing the electrical energy stored by the energy storage device, Representing the equivalent capacitance of the capacitor and, Representing a fault transient voltage; Scene heat distribution update, wherein the explosion heat is fed back to the simulation model to continuously update scene states related to thermodynamics and hydrodynamics.
6. The system of claim 5, wherein during the thermal runaway diffusion simulation, the following operations are performed when the thermal runaway is calculated by the FDS software: Dividing the three-dimensional scene model into areas in advance, respectively calculating a thermal runaway diffusion simulation process of each area by using a multithread channel, determining the temperature distribution on the edge contact surface of the area and the other area in real time in the calculation process by using each thread channel, and simulating the heat exchange and diffusion processes between the areas; in the process of simulating the internal heat conduction of each area, a three-dimensional unsteady heat conduction equation is constructed under the premise of considering a heat source item: Wherein use is made of The temperature distribution of the location x at time t is represented for the temperature field, Representing the material density of each site derived from the device data, As a function of the specific heat capacity of the material, Is the thermal conductivity; And updating time-dependent variables of heat conduction paths and temperature gradient distribution among the areas pre-divided in the three-dimensional scene model through a three-dimensional unsteady state heat conduction equation.
7. The system of claim 1, wherein the security management module performs operations comprising: Determining occurrence probabilities corresponding to various emergency conditions respectively according to simulation results to form a probability set and a spreading trend of disaster conditions under various emergency conditions; Secondarily sequencing the occurrence probability in the probability set from large to small to obtain a sequencing probability set Wherein Indicating the occurrence probability of the ith emergency; And selecting occurrence probability in the ordered probability set by using a greedy algorithm, wherein the selection formula is as follows: Wherein, the Representing sequentially selecting m emergency situations from the ordered probability set, Representing a preset probability threshold; For m emergency situations, determining the diffusion trend of disaster situations under various emergency situations; For any one of the diffusion trends, generating a safety management device management strategy for restraining the temperature from spreading to the fire ignition points by calling the safety management device according to the triggering sequence of a plurality of fire ignition points corresponding to the diffusion trend and the determined safety management device deployed on the cluster energy storage device, and taking the safety management device management strategy as an emergency response plan corresponding to the diffusion trend; Generating m corresponding emergency response plans for all m emergency conditions as reserves, and calling the corresponding emergency response plans to control safety management equipment deployed on the cluster energy storage equipment according to judgment results of the emergency conditions when disasters occur.
8. A method for managing a cluster energy storage device, comprising: determining the arrangement state of energy storage equipment, and collecting state data of each energy storage equipment unit in real time; according to the state data of the energy storage equipment units, carrying out fire risk prediction on the energy storage equipment units, and determining various emergency conditions and probability weights corresponding to each emergency condition according to prediction results; constructing a simulation model of the cluster energy storage equipment according to the arrangement state and state data of the energy storage equipment, performing simulation analysis under various emergency conditions through multiple physical fields based on the simulation model, and determining the diffusion trend of disaster conditions under various emergency conditions as a simulation result; and generating a corresponding emergency response plan according to the simulation result, and controlling safety management equipment deployed on the cluster energy storage equipment when a disaster occurs.
9. An electronic device comprising a processor and a memory communicatively coupled to the processor; the memory stores computer-executable instructions; the processor executes computer-executable instructions stored in the memory to implement the method of claim 8.
10. A computer readable storage medium having stored therein computer executable instructions which when executed by a processor are adapted to implement the method of claim 8.

Description

Management system of cluster energy storage equipment Technical Field The invention belongs to the technical field of energy storage safety, and particularly relates to a management system of cluster energy storage equipment. Background With the rapid development of energy storage technology, the cluster energy storage equipment is increasingly widely applied to power systems, and the safety of the cluster energy storage equipment is also receiving more and more attention. Clustered energy storage devices are typically composed of a plurality of energy storage units, and factors such as arrangement, operation, and ambient conditions of the energy storage units may affect the safety of the overall system. In the actual operation process, the energy storage equipment may face various emergency conditions, such as fire, explosion and the like, and the emergency conditions not only can cause equipment damage, but also can cause serious safety accidents, so that casualties and property loss are caused. Existing energy storage device management systems suffer from a number of functional and technical deficiencies. For example, some systems can only realize basic data acquisition and monitoring functions, and cannot accurately predict and evaluate fire risks, while some systems have a certain risk prediction capability, they lack comprehensive consideration and detailed analysis of various emergency conditions, and some systems are not intelligent and efficient enough in emergency response, and cannot timely and effectively control the development of disaster conditions. Disclosure of Invention The present invention aims to solve at least one of the technical problems in the related art to some extent. To this end, a first object of the present invention is to propose a management system for clustered energy storage devices. The second objective of the present invention is to provide a method for managing cluster energy storage devices. A third object of the present invention is to propose an electronic device. A fourth object of the present invention is to propose a computer readable storage medium. A fifth object of the invention is to propose a computer programme product. To achieve the above object, an embodiment of a first aspect of the present invention provides a management system for a cluster energy storage device, including: the data acquisition module is used for determining the arrangement state of the energy storage equipment and collecting the state data of each energy storage equipment unit in real time; The probability prediction module is used for predicting the fire risk of the energy storage equipment unit according to the state data of the energy storage equipment unit, and determining various emergency conditions and probability weights corresponding to each emergency condition according to the prediction result; the system simulation module is used for constructing a simulation model of the cluster energy storage equipment according to the arrangement state and state data of the energy storage equipment, performing simulation analysis under various emergency conditions through multiple physical fields based on the simulation model, and determining the diffusion trend of the disaster conditions under various emergency conditions as a simulation result; and the safety management module is used for generating a corresponding emergency response plan according to the simulation result and controlling safety management equipment deployed on the cluster energy storage equipment when a disaster occurs. Optionally, the data acquisition module includes: The device information acquisition unit is used for determining each device unit in the cluster energy storage device and respectively determining device data of each device unit, wherein the device data comprises device model, device parameters, connection relation, device construction and arrangement state information; The state information acquisition unit is used for determining state data of each energy storage device unit, wherein the state data comprise temperature, current electric storage capacity, input/output voltage and input/output current; the environment information acquisition unit is used for acquiring environment data around the cluster energy storage equipment, including temperature distribution and airflow direction. Optionally, the probability prediction module performs operations including: for any energy storage equipment unit, historical data and test data of equipment of a corresponding model of the energy storage equipment unit are obtained in advance, a fire risk prediction model is built, and the fire risk prediction model is trained by utilizing the historical data and the test data until convergence is achieved; Preprocessing the acquired state data of the energy storage equipment unit, and extracting key characteristics related to fire risks to generate a characteristic set as an input variable of risk prediction, wherein