Fault location of distribution network with distributed generations using electrical synaptic transmission-based spiking neural P systems
Author:
Affiliation:
1. School of Electrical Engineering and Electronic Information, Xihua University, Chengdu, People’s Republic of China
Funder
National Natural Science Foundation of China
Publisher
Informa UK Limited
Subject
Computer Networks and Communications,Software
Link
https://www.tandfonline.com/doi/pdf/10.1080/17445760.2019.1682145
Reference35 articles.
1. Adequacy Evaluation of Distribution System Including Wind/Solar DG During Different Modes of Operation
2. High Frequency Impedance Based Fault Location in Distribution System With DGs
3. High-Impedance Fault Identification on Distribution Networks
4. A New Single-Ended Fault-Location Scheme for Utilization in an Integrated Power System
Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Application For The Analysis Of Low Impedance Fault Location Algorithms In Distribution Systems With Distributed Generation;J APPL SCI ENG;2024
2. A fault segment location method for distribution networks based on spiking neural P systems and Bayesian estimation;Protection and Control of Modern Power Systems;2023-09-21
3. Fault Diagnosis for Distribution Networks Based on Hierar-chical Fuzzy Reasoning Spiking Neural P Systems;2023 Panda Forum on Power and Energy (PandaFPE);2023-04
4. Intelligent Fault Location Algorithms for Distributed Generation Distribution Networks: A Review;PRZEGLĄD ELEKTROTECHNICZNY;2022-07-01
5. Improved binary gaining–sharing knowledge-based algorithm with mutation for fault section location in distribution networks;Journal of Computational Design and Engineering;2022-02-25
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3