An improved version of salp swarm algorithm for solving optimal power flow problem
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
http://link.springer.com/content/pdf/10.1007/s00500-020-05431-4.pdf
Reference90 articles.
1. Abbassi R, Abbassi A, Heidari AA, Mirjalili S (2019) An efficient salp swarm-inspired algorithm for parameters identification of photovoltaic cell models. Energy Convers Manag 179:362–372
2. Abdo M, Kamel S, Ebeed M, Yu J, Jurado F (2018) Solving non-smooth optimal power flow problems using a developed grey wolf optimizer. Energies 11(7):1692
3. Abido MA (2002a) Optimal power flow using tabu search algorithm. Electric Power Comp Syst 30(5):469–483
4. Abido MA (2002b) Optimal power flow using particle swarm optimization. Int J Electric Power Energy Syst 24(7):563–571
5. Abou El Ela AA, Abido MA, Spea SR (2010) Optimal power flow using differential evolution algorithm. Electric Power Syst Res 80(7):878–885
Cited by 79 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. A memory-guided Jaya algorithm to solve multi-objective optimal power flow integrating renewable energy sources;Applied Soft Computing;2024-10
2. Meta-transfer learning-based method for multi-fault analysis and assessment in power system;Applied Intelligence;2024-09-10
3. Optimized the locations and sizes of FACTS devices on electrical network involving wind power using a new hybrid stochastic algorithm;Engineering Research Express;2024-08-22
4. An in-depth examination of artificial intelligence-based methods for optimal power flow solutions;Neural Computing and Applications;2024-08-10
5. Chaotic-quasi-oppositional-phasor based multi populations gorilla troop optimizer for optimal power flow solution;Energy;2024-08
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