A State-of-the-Art Review on Optimization Methods and Techniques for Economic Load Dispatch with Photovoltaic Systems: Progress, Challenges, and Recommendations

Author:

Fahim Khairul Eahsun1ORCID,Silva Liyanage C. De1,Hussain Fayaz1ORCID,Yassin Hayati1

Affiliation:

1. Faculty of Integrated Technologies, Universiti Brunei Darussalam, Bandar Seri Begawan 1410, Brunei

Abstract

Fossil fuel is considered to be the primary power generation source. As this source is not that eco- and environmentally friendly, researchers are constantly searching for an alternative source for power generation. Renewable energy has drawn much attention in this regard in recent times. For solving economic load dispatch issues, numerous operational constraints must be considered. Due to the restructuring of the power sector, there is competition between different power systems organizations. Increasing fossil fuel costs drive power-producing utilities to adopt a cost-effective technique for dispatching actual power output. Due to the presence of nonlinearity and non-convexity in the fuel of cost function of generators, the economic load dispatch is often considered a complex optimization problem. Many researchers have been optimizing fuel costs to solve the economic power dispatch problem. This paper offers a critical analysis of ELD that takes into account both traditional and non-traditional energy sources. The review covers a variety of algorithms, including hybrid algorithms for integrating renewable energy sources (RES). The paper also focuses on several restricted optimization techniques and contemporary algorithms including PSO, Jaya, GWO, SMO, TLBO, Rao, MRao-2, and MFO to reduce the fuel cost of generation units using large-scale solar PV. Moreover, this paper provides a comprehensive overview of the current state of economic load dispatch and provides valuable insights for electricity researchers and practitioners. It also discusses future technologies and next steps in the field of ELD, emphasizing the need for more environmentally friendly and cost-effective power generation and distribution solutions. Overall, the paper demonstrates the benefits of renewable energy sources as well as optimization techniques for creating a more sustainable and efficient power generation system.

Funder

Universiti Brunei Darussalam, Faculty of Integrated Technologies

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

Reference147 articles.

1. Reducing fuel cost and enhancing the resource utilization rate in energy economic load dispatch problem;Chen;J. Clean. Prod.,2022

2. Kabir, A.M., Kamal, M., Ahmad, F., Ullah, Z., Albogamy, F.R., Hafeez, G., and Mehmood, F. (2021). Optimized economic load dispatch with multiple fuels and valve-point effects using hybrid genetic–artificial fish swarm algorithm. Sustainability, 13.

3. El-Gallad, A., El-Hawary, M., Sallam, A., and Kalas, A. (2002, January 12–15). Particle swarm optimizer for constrained economic dispatch with prohibited operating zones. Proceedings of the IEEE CCECE2002 Canadian Conference on Electrical and Computer Engineering. Conference Proceedings (Cat. No.02CH37373), Winnipeg, MB, Canada.

4. Happ, H. (1975, January 17–22). Optimal power dispatch. Proceedings of the 1975 Engineering Foundation Conference on Systems Engineering for Power: Status and Prospects, Henniker, NH, USA.

5. A survey of the optimal power flow literature;Huneault;IEEE Trans. Power Syst.,1991

Cited by 3 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

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