{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T22:42:03Z","timestamp":1776811323912,"version":"3.51.2"},"reference-count":18,"publisher":"European Society of Computational Methods in Sciences and Engineering","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JCM"],"published-print":{"date-parts":[[2020,9,30]]},"abstract":"<jats:p>To meet the requirement of the efficiency and accuracy for fault section location introduced by the construction and development of smart distribution network containing DG, a switching function model which can adapt itself to the change caused by switching of multiple DG is built and a network regional processing solution is raised. A fault section location for distribution network containing DG based on improved binary quantum particle swarm optimization (IBQPSO), which can effectively overcome the problem of global and local search capability imbalance in binary particle swarm optimization (BPSO), is proposed. The fault tolerance, rapidity and accuracy of this method are verified by simulation analysis of IEEE33 node system containing DG.<\/jats:p>","DOI":"10.3233\/jcm-204231","type":"journal-article","created":{"date-parts":[[2020,4,21]],"date-time":"2020-04-21T14:18:58Z","timestamp":1587478738000},"page":"937-949","source":"Crossref","is-referenced-by-count":1,"title":["Fault section location for distribution network containing DG based on IBQPSO"],"prefix":"10.66113","volume":"20","author":[{"given":"Min","family":"Zhao","sequence":"first","affiliation":[]},{"given":"Yan-Fang","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"55691","reference":[{"issue":"6","key":"10.3233\/JCM-204231_ref1","first-page":"52","article-title":"Technical requirements analysis of smart distribution grid","volume":"12","author":"Yang","year":"2013","journal-title":"Journal of North China Electric Power University (Social Sciences)"},{"issue":"3","key":"10.3233\/JCM-204231_ref2","first-page":"863","article-title":"Technical methods for optimizing dynamic characteristics of smart distribution network","volume":"43","author":"Xie","year":"2019","journal-title":"Power System Technology"},{"issue":"8","key":"10.3233\/JCM-204231_ref3","first-page":"1760","article-title":"Application of flexible multi-state switch in intelligent distribution network","volume":"34","author":"Jia","year":"2019","journal-title":"Transactions of China Electrotechnical Society"},{"issue":"4","key":"10.3233\/JCM-204231_ref4","first-page":"9","article-title":"Fault-tolerant algorithm for fault location in distribution network","volume":"38","author":"Wang","year":"2018","journal-title":"Electric Power Automation Equipment"},{"key":"10.3233\/JCM-204231_ref5","unstructured":"Q.Q. Jia et al., A method of fault section location in distribution networks based on fault direction measures, Proceedings of the CSEE 37(20) (2017), 5933\u20135941."},{"key":"10.3233\/JCM-204231_ref6","first-page":"187","article-title":"A unified matrix algorithm for fault segment judgment and isolation of distribution network","volume":"28","author":"Wang","year":"2015","journal-title":"Industrial Engineering"},{"issue":"5","key":"10.3233\/JCM-204231_ref7","first-page":"34","article-title":"An improved general matrix algorithm for fault location of distribution network","volume":"40","author":"Luo","year":"2012","journal-title":"Power System Protection and Control"},{"issue":"9","key":"10.3233\/JCM-204231_ref8","first-page":"25","article-title":"Fault detection and isolation algorithm for distribution network containing distributed generations","volume":"35","author":"Kang","year":"2011","journal-title":"Automation of Electric Power Systems"},{"issue":"14","key":"10.3233\/JCM-204231_ref9","first-page":"21","article-title":"Reactive power optimization of distribution network based on improved particle swarm optimization algorithm","volume":"55","author":"Qiang","year":"2018","journal-title":"Electrical Measurement and Instrumentation"},{"issue":"7","key":"10.3233\/JCM-204231_ref10","first-page":"84","article-title":"The application of improved binary particle swarm optimization in distribution network reconfiguration","volume":"53","author":"Ma","year":"2016","journal-title":"Electrical Measurement and Instrumentation"},{"issue":"9","key":"10.3233\/JCM-204231_ref11","first-page":"83","article-title":"Fault location of distribution network based on particle swarm optimization","volume":"46","author":"Ma","year":"2018","journal-title":"Smart Power"},{"key":"10.3233\/JCM-204231_ref12","unstructured":"H.L. Wang et al., Core backbone network searching based on improved quantum binary particle swarm optimization, Proceedings of the CSEE 34(34) (2014), 6127\u20136133."},{"issue":"4","key":"10.3233\/JCM-204231_ref13","first-page":"22","article-title":"Distribution network reconfiguration with distributed generation based on improved quantum binary particle swarm optimization","volume":"44","author":"Zhang","year":"2016","journal-title":"Power System Protection and Control"},{"issue":"2","key":"10.3233\/JCM-204231_ref14","first-page":"36","article-title":"Fault-section location of distribution network containing distributed generation based on the multiple-population genetic algorithm","volume":"44","author":"Liu","year":"2016","journal-title":"Power System Protection and Control"},{"issue":"5","key":"10.3233\/JCM-204231_ref15","first-page":"280","article-title":"Harmony search algorithm for solving fault location in distribution network with DG","volume":"28","author":"Liu","year":"2013","journal-title":"Transactions of China Electrotechnical Society"},{"key":"10.3233\/JCM-204231_ref16","unstructured":"L. Wu et al., New approach of fault section location in distribution network with DG, Proceedings of the CSU-EPSA 27(5) (2015), 92\u201396."},{"key":"10.3233\/JCM-204231_ref17","first-page":"1","article-title":"Application of improved particle swarm algorithm to power source capacity optimization in multi-energy industrial parks","author":"Xiong","year":"2019","journal-title":"Journal of Intelligent & Fuzzy Systems"},{"issue":"3","key":"10.3233\/JCM-204231_ref18","doi-asserted-by":"crossref","first-page":"557","DOI":"10.3233\/JCM-170742","article-title":"Particle swarm optimization algorithm based on parameter improvements","volume":"17","author":"Wu","year":"2017","journal-title":"Journal of Computational Methods in Sciences and Engineering"}],"container-title":["Journal of Computational Methods in Sciences and Engineering"],"original-title":[],"link":[{"URL":"https:\/\/content.iospress.com\/download?id=10.3233\/JCM-204231","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T22:06:02Z","timestamp":1776809162000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/full\/10.3233\/JCM-204231"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9,30]]},"references-count":18,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.3233\/jcm-204231","relation":{},"ISSN":["1472-7978","1875-8983"],"issn-type":[{"value":"1472-7978","type":"print"},{"value":"1875-8983","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,9,30]]}}}