Optimal Power Flow Techniques under Characterization of Conventional and Renewable Energy Sources: A Comprehensive Analysis

Author:

Khan Baseem1ORCID,Singh Pawan2ORCID

Affiliation:

1. School of Electrical and Computer Engineering, Hawassa University Institute of Technology, Hawassa, Ethiopia

2. School of Informatics, Hawassa University Institute of Technology, Hawassa, Ethiopia

Abstract

The exhaustive knowledge of optimal power flow (OPF) methods is critical for proper system operation and planning, since OPF methods are utilized for finding the optimal state of any system under system constraint conditions, such as loss minimization, reactive power limits, thermal limits of transmission lines, and reactive power optimization. Incorporating renewable energy sources optimized the power flow of system under different constraints. This work presents a comprehensive study of optimal power flows methods with conventional and renewable energy constraints. Additionally, this work presents a progress of optimal power flow solution from its beginning to its present form. Authors classify the optimal power flow methods under different constraints condition of conventional and renewable energy sources. The current and future applications of optimal power flow programs in smart system planning, operations, sensitivity calculation, and control are presented. This study will help the engineers and researchers to optimize power flow with conventional and renewable energy sources.

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Hardware and Architecture,Mechanical Engineering,General Chemical Engineering,Civil and Structural Engineering

Cited by 57 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. Multi-objective optimal power flow with wind–solar–tidal systems including UPFC using Adaptive Improved Flower Pollination Algorithm(AIFPA);Smart Science;2024-06-04

2. Feasible Selection of Candidate Wind Farms’ Capacity for Generation Expansion Planning;2023 2nd International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE);2023-11-27

3. Metaheuristic Algorithms in Optimal Power Flow Analysis: A Qualitative Systematic Review;International Journal on Artificial Intelligence Tools;2023-11

4. Model for Forecasting and Planning Solar Energy Production Using an Artificial Neural Network;2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME);2023-07-19

5. Jaya-AEO: An Innovative Hybrid Optimizer for Reactive Power Dispatch Optimization in Power Systems;Electric Power Components and Systems;2023-07-04

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