{"title":"基于关键节点识别的配电系统弹性增强规划方法","authors":"Lei Liu, Xin-wei Lu, Xiaoting Yang, Xiaoqiang Ma, Jianchun Xu, Qi Zhao","doi":"10.1109/AEEES54426.2022.9759405","DOIUrl":null,"url":null,"abstract":"This paper proposes a resilience enhancement planning method for distribution systems based on key nodes identification. The key nodes that make a greater difference to distribution system resilience are found based on nodes sensitivity analysis. The perturbation method is applied to quantify the influence of the equipment of gas turbines in each node on system resilience. The distribution system resilience will be improved when these key nodes equipped with gas turbines. A multi-objective model is built to optimize the location and capacity of gas turbines. The goal is to make a tradeoff between resilience enhancement and economic benefits. The optimization goal of system resilience is transferred to economic cost, such that the multi-objective optimization problem degenerates to a single-objective one to be solved efficiently. The effectiveness of the proposed method is verified on a modified IEEE 33-bus distribution system.","PeriodicalId":252797,"journal":{"name":"2022 4th Asia Energy and Electrical Engineering Symposium (AEEES)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Resilience Enhancement Planning Method for Distribution Systems Based on Key Nodes Identification\",\"authors\":\"Lei Liu, Xin-wei Lu, Xiaoting Yang, Xiaoqiang Ma, Jianchun Xu, Qi Zhao\",\"doi\":\"10.1109/AEEES54426.2022.9759405\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a resilience enhancement planning method for distribution systems based on key nodes identification. The key nodes that make a greater difference to distribution system resilience are found based on nodes sensitivity analysis. The perturbation method is applied to quantify the influence of the equipment of gas turbines in each node on system resilience. The distribution system resilience will be improved when these key nodes equipped with gas turbines. A multi-objective model is built to optimize the location and capacity of gas turbines. The goal is to make a tradeoff between resilience enhancement and economic benefits. The optimization goal of system resilience is transferred to economic cost, such that the multi-objective optimization problem degenerates to a single-objective one to be solved efficiently. The effectiveness of the proposed method is verified on a modified IEEE 33-bus distribution system.\",\"PeriodicalId\":252797,\"journal\":{\"name\":\"2022 4th Asia Energy and Electrical Engineering Symposium (AEEES)\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-03-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 4th Asia Energy and Electrical Engineering Symposium (AEEES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AEEES54426.2022.9759405\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 4th Asia Energy and Electrical Engineering Symposium (AEEES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AEEES54426.2022.9759405","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Resilience Enhancement Planning Method for Distribution Systems Based on Key Nodes Identification
This paper proposes a resilience enhancement planning method for distribution systems based on key nodes identification. The key nodes that make a greater difference to distribution system resilience are found based on nodes sensitivity analysis. The perturbation method is applied to quantify the influence of the equipment of gas turbines in each node on system resilience. The distribution system resilience will be improved when these key nodes equipped with gas turbines. A multi-objective model is built to optimize the location and capacity of gas turbines. The goal is to make a tradeoff between resilience enhancement and economic benefits. The optimization goal of system resilience is transferred to economic cost, such that the multi-objective optimization problem degenerates to a single-objective one to be solved efficiently. The effectiveness of the proposed method is verified on a modified IEEE 33-bus distribution system.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
