高电压技术2025，Vol.51Issue(10)：5103-5113,中插12-中插13,13.DOI:10.13336/j.1003-6520.hve.20250764
基于ICEM与NM-TDO-BP的变电站气象灾害风险评估
Meteorological Disaster Risk Assessment of Substations Based on ICEM and NM-TDO-BP
李源 1尹纯亚 2商侨晏3
作者信息
- 1. 国网浙江省电力有限公司龙游县供电公司,衢州 324400
- 2. 新疆大学电气工程学院,乌鲁木齐 830017
- 3. 国网浙江省电力有限公司义乌市供电公司,金华 322000
- 折叠
摘要
Abstract
The occurrence of meteorological disasters will affect the safe operation of substations.To improve the level of meteorological disaster prevention in substations,a meteorological disaster risk assessment model for substations based on the improved combined empowerment method(ICEM)and niching meth-tasmanian devil optimization-BP(NM-TDO-BP)is proposed.Firstly,the risk factors of meteorological disasters in substations are sorted out and analyzed,and it is proposed to construct an all-round risk assessment index system.Based on zero-mean processing,normalization,and composition ratio,the entropy weight method and coefficient of variation method are combined to achieve the weighting of indicators.Secondly,the improved tasmanian devil optimization(TDO)algorithm integrating niche tech-nology is introduced into the BP neural network algorithm to construct the NM-TDO-BP model to achieve the risk assessment of meteorological disasters in substations.Finally,the feasibility and superiority of the proposed model are verified through case analysis.关键词
气象灾害/变电站/风险评估/改进组合赋权法/小生境技术/袋獾优化算法/BP神经网络算法Key words
meteorological disasters/substation/risk assessment/improving combinatorial empowerment method/niching methods/tasmanian devil optimization algorithm/BP neural network algorithm引用本文复制引用
李源,尹纯亚,商侨晏..基于ICEM与NM-TDO-BP的变电站气象灾害风险评估[J].高电压技术,2025,51(10):5103-5113,中插12-中插13,13.
