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基于模糊综合评价的电动汽车充电安全风险评估

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为了定量评估电动汽车充电过程中的安全水平,对电动汽车充电过程中诱发充电安全事故的因素进行了分析,并采用模糊综合评价方法设计了电动汽车充电安全风险评估方案;提出了一种综合赋权的方法来改进灰色关联度主观赋权存在的指标权重不确定的问题,保证了评估结果的合理性与可靠性;首先统计分析指标诱发充电事故的频率获得客观权重,然后经过基于灰色关联度的专家经验判断得到主观权重,最后通过标准离差求出主观权重与客观权重的分配系数;该方法既保留了主观权重中专家的权威性,又充分体现了数据本身所具有的客观特征;其次,将充电安全划分为5个等级并且设定合理的阈值,构建梯形分布的隶属度函数;经过对某充电站充电数据的分析,验证了该风险评估方案的可行性和正确性。
Electric Vehicle Charging Safety Risk Assessment Method Based on Fuzzy Integrated Evaluation
In order to quantitatively assess the safety level in the charging process of electric vehicles,this paper studies the fac-tors that induce charging safety accidents in the charging process of electric vehicles,and designs a safety risk assessment scheme for electric vehicle charging by using a fuzzy comprehensive evaluation method.A comprehensive weighting method is proposed to im-prove the uncertainty of indicator weights in the subjective weighting of grey correlation degree,and ensure the reasonableness and re-liability of the assessment results.Firstly,the frequency of charging accidents induced by indicators is statistically analyzed to obtain the objective weights.Then,subjective weights are obtained by the experience judgement of the experts based on the grey correlation.Finally,the allocation coefficients of subjective and objective weights are derived by the standard deviation.The method retains the subjective suggestions of the experts in the subjective weights,while fully reflecting the objective characteristics of the data itself.Then,the charging safety is divided into five levels and reasonable thresholds are set to construct a trapezoidal distribution on the af-filiation function.After analyzing the charging data of a certain charging station,the feasibility and correctness of this risk assessment method is verified.

fuzzy integrated evaluationcharging safetyindicator evaluation systemgrey correlation

赵公豪、刘鸿鹏、袁单、陈良亮、窦真兰

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东北电力大学电气工程学院现代电力系统仿真控制与绿色电能新技术教育部重点实验室,吉林吉林 132012

南瑞集团(国网电力科学研究院)有限公司,南京 211106

国网上海市电力公司,上海 200433

模糊综合评价 充电安全 指标评价体系 灰色关联度

国家电网科技项目

52094021N00S

2024

计算机测量与控制
中国计算机自动测量与控制技术协会

计算机测量与控制

CSTPCD
影响因子:0.546
ISSN:1671-4598
年,卷(期):2024.32(4)
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