考虑随机可再生能源的最优潮流求解技术研究:综述与分析

IF 1.5 Q4 ENERGY & FUELS

Wind Engineering Pub Date : 2022-10-17 DOI:10.1177/0309524X221124000

Ankur Maheshwari, Y. Sood, Supriya Jaiswal

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引用次数: 3

摘要

由于可再生能源的不确定性和不可调度性，可再生能源在电力系统网络中的渗透率不断提高，给系统规划和管理带来了一些挑战。因此，本文以知名期刊上发表的多篇同行评议的研究论文为基础，对近年来解决包含随机RESs的最优潮流(OPF)问题的解决方法进行了全面而精确的回顾。讨论并实现了基于教学的优化算法来解决考虑太阳能光伏、风力发电和潮汐能系统的OPF问题。威布尔、对数正态和冈贝尔概率密度函数分别表示与风速、太阳辐照度和潮汐能系统的可用性相关的不确定性。实验结果验证了该技术在运行成本最小化、输电线路损耗、电压分布增强和电压稳定性等OPF问题上的新颖性。在改进的IEEE 30总线测试系统上对所提出的OPF问题求解技术进行了测试。因此，本研究有助于新研究人员理解该领域的OPF问题，并提供了在定义的测试系统上实现自然启发的优化算法来解决OPF问题的想法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Investigation of optimal power flow solution techniques considering stochastic renewable energy sources: Review and analysis

Increased penetration of renewable energy sources (RESs) in power system networks poses several challenges in system planning and management due to their uncertain and non-dispatchable nature. Consequently, this paper presents a thorough and precise review of recent solution methodologies for solving the optimal power flow (OPF) problems incorporated with stochastic RESs based on multiple peer-reviewed research publications in reputed journals. The Teaching Learning Based Optimization algorithm has been discussed and implemented to solve the OPF problem considering solar photovoltaic, wind turbine, and tidal energy systems. Weibull, Lognormal, and Gumbel probability density functions representing the uncertainty associated with the availability of wind speed, solar irradiance, and tidal energy systems, respectively. The results obtained from the proposed technique validate its novelty regarding OPF problems like minimization of operating cost, power loss in transmission lines, enhancement of voltage profile, and voltage stability. The proposed solution technique for OPF problems is tested on a modified IEEE 30-bus test system. Thus, this study assists in understanding the OPF problem for new researchers concerned with this domain and also gives the idea of implementing nature-inspired optimization algorithms on a defined test system to solve the OPF problem.

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来源期刊

Wind Engineering ENERGY & FUELS-

CiteScore

4.00

自引率

13.30%

发文量

期刊介绍： Having been in continuous publication since 1977, Wind Engineering is the oldest and most authoritative English language journal devoted entirely to the technology of wind energy. Under the direction of a distinguished editor and editorial board, Wind Engineering appears bimonthly with fully refereed contributions from active figures in the field, book notices, and summaries of the more interesting papers from other sources. Papers are published in Wind Engineering on: the aerodynamics of rotors and blades; machine subsystems and components; design; test programmes; power generation and transmission; measuring and recording techniques; installations and applications; and economic, environmental and legal aspects.