面向自愈的智能配电网免疫力评估方法
摘要：自愈是智能配电网区别于传统配电网的显著特征，为提高各项自愈技术实用化水平，需要准确掌握智能配电网整体免疫力水平。因此，借鉴人体免疫系统机理，提出了智能配电网免疫系统，包括免疫耐受、免疫自稳、免疫识别、免疫应答和免疫恢复5类功能，在此基础上，提出了基于改进层次分析法与逼近理想解距离法相结合的智能配电网免疫力评估模型构建方法，并构建了智能配电网免疫力评估指标体系以及智能配电网免疫力评估模型。此评估模型能够全面且多层次地考虑影响智能配电网免疫力强弱的各类因素，在实际应用中为智能配电网精细化运维检修和管理提供理论参考。
Abstract:Self-healing is a distinguishing feature, by which the smart distribution network differs from traditional distribution network. To improve the practical level of various self-healing technologies it is necessary to accurately master overall immunity level of smart distribution network. For this reason, learning from the mechanism of human immune system, an immune system for smart distribution network, in which five immune functions such as immune tolerance, immune self-stabilization, immune recognition, immune response and immune recovery were included, was proposed. On this basis, a method to build an immunity assessment model based on the combination of the improved analytic hierarchy process (abbr. IAHP) with technique for order preference by similarity to ideal solution (abbr. TOPSIS) was put forward, and an immunity evaluation index system for smart distribution network and an immunity evaluation model for smart distribution network were constructed. The constructed evaluation model can overall consider various kinds of factors impacting the strength of immunity of smart distribution network and provide theoretical reference for elaborative operation, maintenance and management of smart distribution network in practical application.
标题：面向自愈的智能配电网免疫力评估方法
英文标题：A Self-healing Oriented Immunity Evaluation Method for Smart Distribution Network
作者：张瑜, 高菲, 皮谭昕, 姚丽娟, 武昕,
关键词：配电网免疫力, 评估指标, 评估模型, 改进层次分析法(improved analytic hierarchy process), 逼近理想解距离法(technique for order preference by similarity to ideal solution，TOPSIS),
发表日期：2023-06-10
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