G1-CRITIC组合赋权云模型下的储能电站火灾风险评价  

Fire risk evaluation of energy storage power station based on G1-CRITIC combination weighting cloud model

作　　者：刘纪坤 袁雪颖 梁栋 王翠霞 LIU Jikun;YUAN Xueying;LIANG Dong;WANG Cuixia(College of Safety Science and Engineering,Xi’an University of Science and Technology,Xi’an 710054,China;China Certification&Inspction Group West Testing Co.,Ltd.,Xi’an 710032,China)

机构地区：[1]西安科技大学安全科学与工程学院,陕西西安710054 [2]中检西部检测有限公司,陕西西安710032

出　　处：《西安科技大学学报》2024年第3期447-455,共9页Journal of Xi’an University of Science and Technology

基　　金：国家自然科学基金项目(5220041722)。

摘　　要：锂离子电池储能电站火灾事故频繁发生且损失严重,对锂离子电池储能电站火灾风险开展研究可有效预防火灾的发生。首先根据物理-事理-人理(WSR)理论,构建锂电池特性、消防设施、安全管理和人员因素4个一级指标、12个二级指标和32个三级指标的锂离子电池储能电站火灾风险评价指标体系;然后运用序关系分析(G1)法确定各评价指标的主观权重,采用CRITIC法(Criteria Importance Though Intercriteria Correlation,CRITIC)确定客观权重,基于拉格朗日乘法优化后的最小信息熵原理确定组合权重,并结合云模型理论建立锂离子电池储能电站火灾风险评价模型。以某磷酸铁锂储能电站为例开展火灾风险等级评价,结果表明:储能电站火灾风险综合云特征值为(71.3104,1.2142,0.2568),火灾风险等级处于“中风险”,在运行环境和防火设计等方面存在较严重的问题并亟需改进。评价结果与实际火灾风险等级相符,实例证明锂离子电池储能电站火灾风险评价模型能够较准确地反映储能电站火灾风险情况,为锂离子电池储能电站火灾预防与风险管控提供参考。Fire accidents in lithium-ion battery energy storage power stations occur frequently with the losses serious,and the evaluation research on the fire risk of lithium-ion battery energy storage power stations can effectively prevent the occurrence of fire.Firstly,according to the theory of WSR,a fire risk assessment index system of lithium-ion battery energy storage power station was constructed,including such 4 primary indicators as lithium-ion battery characteristics,fire protection facilities,safety management and personnel factors,12 secondary indicators and 32 tertiary indicators.Then the subjective weights of the evaluation indicators were determined using the G1 method,and objective weights were determined using the CRITIC method.Finally,the combination weights were determined based on the principle of minimum information entropy after Lagrange multiplier optimization.The fire risk evaluation model of lithium-ion energy battery storage power station was established by using the theory of cloud model.The fire risk level evaluation was carried out with an energy storage power station as an example.The results of the evaluation show that the combined cloud eigenvalue of the fire risk of the energy storage plant is(71.3104,1.2142,0.2568).The fire risk level is“medium risk”.There exist more serious problems with an urgent need for improvement in areas such as the operating environment and fire protection design.The evaluation results are consistent with the actual fire risk level,which prove that the fire risk evaluation system of lithium-ion battery energy storage power station can reflect the fire risk situation of the storage power station in a more comprehensive way.The research provides reference for the fire prevention and risk management of lithium-ion battery storage power stations.

关 键 词：储能电站 火灾风险评价 序关系分析法 CRITIC法 云模型 

分 类 号：X928.7[环境科学与工程—安全科学]