Multi-objective generation expansion and retirement planning using chaotic grasshopper optimisation algorithm-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Multi-objective generation expansion and retirement planning using chaotic grasshopper optimisation algorithm

Published:2019-06-12 Issue:3 Volume:16 Page:136-148
ISSN:1448-837X
Container-title:Australian Journal of Electrical and Electronics Engineering
language:en
Short-container-title:Australian Journal of Electrical and Electronics Engineering

Author:

Suriya Ponnambalam¹,Subramanian Srikrishna¹,Ganesan Sivarajan²,Hariprasath Manoharan³

Affiliation:

1. Department of Electrical Engg, Annamalai University, Chidambaram, Tamil Nadu, India

2. Department of Electrical and Electronics Engg., Government College of Engineering, Salem, Tamil Nadu, India

3. Department of Electronics and Comunication Engg, Annamalai University, Chidambaram, Tamil Nadu, India

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/1448837X.2019.1627738

Reference14 articles.

1. An emission-constrained approach to power system expansion planning

2. Forecasting methods in energy planning models

3. An application of a tent map initiated Chaotic Firefly algorithm for optimal overcurrent relay coordination

4. Multistage generation expansion planning incorporating large scale energy storage systems and environmental pollution

5. Application of NSGA-II Algorithm to Generation Expansion Planning

Cited by 4 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. Collaborative Planning for Retirement of Coal-Fired Power Plants and Energy Storage Considering Frequency Security Constraints;2023 IEEE 7th Conference on Energy Internet and Energy System Integration (EI2);2023-12-15

2. Recuperation based multi-objective generation expansion planning for a real-world power system;Journal of Intelligent & Fuzzy Systems;2023-10-04

3. Decarbonizing the power system by co-planning coal-fired power plant transformation and energy storage;Journal of Energy Storage;2023-08

4. A Deep Learning-Based Approach for Generation Expansion Planning Considering Power Plants Lifetime;Energies;2021-12-01

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