Multiobjective optimal power flow using interior search algorithm: A case study on a real‐time electrical network
Author:
Affiliation:
1. Kalasalingam Academy of Research and Education Krishnankoil India
Publisher
Wiley
Subject
Artificial Intelligence,Computational Mathematics
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/coin.12312
Reference53 articles.
1. Modified differential evolution algorithm for optimal power flow with non-smooth cost functions
2. Polyphyletic migration operator and orthogonal learning aided biogeography-based optimization for dynamic economic dispatch with valve-point effects
3. Multi-objective optimal electric power planning in the power system using Gaussian bare-bones imperialist competitive algorithm
4. Application of imperialist competitive algorithm with its modified techniques for multi-objective optimal power flow problem: A comparative study
5. Optimal power flow using moth swarm algorithm
Cited by 22 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. Optimal design of PV-SMES systems for power quality enhancement using pelicon optimized multi-level inverter model;Computers and Electrical Engineering;2024-09
2. Boosting cuckoo optimization algorithm via Gaussian mixture model for optimal power flow problem in a hybrid power system with solar and wind renewable energies;Heliyon;2024-06
3. Optimal stochastic power flow using enhanced multi-objective mayfly algorithm;Heliyon;2024-03
4. Application of Covariance Matrix Adaptation‐Evolutionary Strategy for Modified Constrained Optimal Power Flow Problem Incorporating Valve Point and Emission Effect;International Transactions on Electrical Energy Systems;2024-01
5. Applications of whale migration algorithm in optimal power flow problems of power systems;Handbook of Whale Optimization Algorithm;2024
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