Optimal power flow with stochastic solar power using barnacles mating optimizer-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Optimal power flow with stochastic solar power using barnacles mating optimizer

Published:2021-03-09 Issue:5 Volume:31 Page:
ISSN:2050-7038
Container-title:International Transactions on Electrical Energy Systems
language:en
Short-container-title:Int Trans Electr Energ Syst

Author:

Sulaiman Mohd Herwan¹^ORCID,Mustaffa Zuriani²,Mohamad Ahmad Johari¹,Saari Mohd Mawardi¹,Mohamed Mohd Rusllim³^ORCID

Affiliation:

1. Faculty of Electrical & Electronics Engineering Technology Universiti Malaysia Pahang (UMP) Pekan Pahang Malaysia

2. Faculty of Computing Universiti Malaysia Pahang (UMP) Pekan Pahang Malaysia

3. College of Engineering Universiti Malaysia Pahang (UMP) Gambang Pahang Malaysia

Funder

Ministry of Higher Education, Malaysia

Universiti Malaysia Pahang

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Modeling and Simulation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/2050-7038.12858

Reference40 articles.

1. Optimal power flow with emission and non-smooth cost functions using backtracking search optimization algorithm

2. Optimal power flow using the AMTPG-Jaya algorithm

3. Optimal Power Flow Using the Jaya Algorithm

4. Single- and multi-objective optimal power flow frameworks using Jaya optimization technique

5. Optimal power flow solutions incorporating stochastic wind and solar power

Cited by 28 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 Modified Artificial Hummingbird Algorithm for solving optimal power flow problem in power systems;Energy Reports;2024-06

2. A modified white shark optimizer for optimal power flow considering uncertainty of renewable energy sources;Scientific Reports;2024-02-06

3. Gaussian bare-bones Levy circulatory system-based optimization for power flow in the presence of renewable units;Engineering Science and Technology, an International Journal;2023-11

4. An application of improved salp swarm algorithm for optimal power flow solution considering stochastic solar power generation;e-Prime - Advances in Electrical Engineering, Electronics and Energy;2023-09

5. A Comprehensive Review on Stochastic Optimal Power Flow Problems and Solution Methodologies;IETE Technical Review;2023-06-20

同舟云学术

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