Current Status, Sizing Methodologies, Optimization Techniques, and Energy Management and Control Strategies for Co-Located Utility-Scale Wind–Solar-Based Hybrid Power Plants: A Review

Eng Pub Date : 2024-04-18 DOI:10.3390/eng5020038
S. O. Bade, Ajan Meenakshisundaram, O. Tomomewo
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Abstract

The integration of renewable energy sources, such as wind and solar, into co-located hybrid power plants (HPPs) has gained significant attention as an innovative solution to address the intermittency and variability inherent in renewable systems among plant developers because of advancements in technology, economies of scale, and government policies. However, it is essential to examine different challenges and aspects during the development of a major work on large-scale hybrid plants. This includes the need for optimization, sizing, energy management, and a control strategy. Hence, this research offers a thorough examination of the present state of co-located utility-scale wind–solar-based HPPs, with a specific emphasis on the problems related to their sizing, optimization, and energy management and control strategies. The authors developed a review approach that includes compiling a database of articles, formulating inclusion and exclusion criteria, and conducting comprehensive analyses. This review highlights the limited number of peer-reviewed studies on utility-scale HPPs, indicating the need for further research, particularly in comparative studies. The integration of machine learning, artificial intelligence, and advanced optimization algorithms for real-time decision-making is highlighted as a potential avenue for addressing complex energy management challenges. The insights provided in this manuscript will be valuable for researchers aiming to further explore HPPs, contributing to the development of a cleaner, economically viable, efficient, and reliable power system.
同地公用事业级风光互补发电厂的现状、选型方法、优化技术以及能源管理和控制策略:综述
由于技术进步、规模经济和政府政策的推动,将风能和太阳能等可再生能源整合到同地混合发电厂(HPPs)中,作为解决可再生能源系统固有的间歇性和可变性的创新解决方案,已受到发电厂开发商的极大关注。然而,在开发大型混合电站的主要工作中,必须研究不同的挑战和方面。这包括对优化、规模、能源管理和控制策略的需求。因此,本研究对基于风能和太阳能的同地公用事业级热电厂的现状进行了深入研究,并特别强调了与其规模、优化、能源管理和控制策略相关的问题。作者开发了一种综述方法,包括汇编文章数据库、制定纳入和排除标准以及进行综合分析。本综述强调了经同行评审的有关公用事业规模水力发电厂的研究数量有限,表明有必要开展进一步的研究,尤其是比较研究。本综述强调了机器学习、人工智能和先进优化算法在实时决策中的整合,认为这是应对复杂能源管理挑战的潜在途径。本手稿中提供的见解对旨在进一步探索水力发电厂的研究人员很有价值,有助于开发更清洁、经济可行、高效可靠的电力系统。
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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来源期刊
Eng
Eng
CiteScore
2.10
自引率
0.00%
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0
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