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A Renewable Energy (RE) system efficiently generates clean energy to fulfill energy demands, significantly contributing to enhancing power system quality, reliability, and economy. This approach diverges from exclusive reliance on non-renewable energy sources. This study delves into multiple criteria encompassing financial, technical, environmental, and social aspects to identify optimal decision-making parameters for designing RE systems with various combinations. The paper explores the utilization of different storage systems, including chemical, electro-chemical, mechanical, and thermal, to mitigate the stochastic nature of renewable energy sources. Emphasis is placed on the crucial aspect of optimal sizing for HRES, applicable to both on-grid and off-grid configurations. The document introduces cutting-edge sizing methodologies, encompassing artificial intelligence, conventional techniques, traditional approaches, and existing software utilities. Comprehensive analyses of diverse control tactics for energy governance in integrated energy systems, such as MAS, DSM, decentralized regulators, centralized regulators, and hybrid regulators, are presented. Moreover, the research delves into unresolved matters within HRES/IRES, presenting prospective resolutions to tackle documented difficulties.

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Advancements in Optimization Strategies for Hybrid Renewable Energy Systems: Recent Trends, and Future Directions

  • 会议论文

  • 发表日期：

    2025年

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  • Sudip Chowdhury,
  • Aashish Kumar Bohre,
  • Mohan Lal Kolhe,
  • M. Deva Brinda

摘要

A Renewable Energy (RE) system efficiently generates clean energy to fulfill energy demands, significantly contributing to enhancing power system quality, reliability, and economy. This approach diverges from exclusive reliance on non-renewable energy sources. This study delves into multiple criteria encompassing financial, technical, environmental, and social aspects to identify optimal decision-making parameters for designing RE systems with various combinations. The paper explores the utilization of different storage systems, including chemical, electro-chemical, mechanical, and thermal, to mitigate the stochastic nature of renewable energy sources. Emphasis is placed on the crucial aspect of optimal sizing for HRES, applicable to both on-grid and off-grid configurations. The document introduces cutting-edge sizing methodologies, encompassing artificial intelligence, conventional techniques, traditional approaches, and existing software utilities. Comprehensive analyses of diverse control tactics for energy governance in integrated energy systems, such as MAS, DSM, decentralized regulators, centralized regulators, and hybrid regulators, are presented. Moreover, the research delves into unresolved matters within HRES/IRES, presenting prospective resolutions to tackle documented difficulties.