基于前兆信息的可重构梯次电池储能系统安全风险评估

为实现对可重构梯次电池储能系统的安全风险评估,需对其相关安全风险进行识别和排序,从而找出威胁性最大的安全风险信息,进行针对性预防.通过引入前兆信息理论,对其可能触发安全事故的前兆信息进行识别;为消除TOPSIS算法在对多决策指标进行排序时存在的人为因素和主观因素而引起的随机性,对基础的云模型进行改进.将云模型决策矩阵的...

SECURITY RISK ASSESSMENT OF RECONFIGURABLE SECONDARY BATTERY ENERGY STORAGE SYSTEM BASED ON PRECURSOR INFORMATION

In order to assess the security risk of the energy storage system based on the reconfigurable secondary battery, it is necessary to identify and prioritize the related risks, and thereby find out the most threatening risk information to carry out targeted prevention. In this paper, the precursory information theory is introduced to identify the precursor information that may trigger a security incident, and the basic cloud analytic model are improved to eliminate the randomness caused by human and subjective factors existing in the TOPSIS algorithm when sorting multiple decision indicators. Three indicators "predictability", "urgency" and "flexibility" are added to the evaluation information of the cloud analytic decision matrix from "probability" and "impact", and a TOPSIS algorithm based on an improved cloud analytic model and combined weighting is developed to sort the precursory information under multiple decision indicators. Finally, the simulation is conducted, and the sorting results are analyzed and compared, which show that the proposed algorithm is more accurate in sorting the precursor information of the reconfigurable secondary battery energy storage system, overcomes the drawbacks of the traditional TOPSIS algorithm.