Optimizing energy storage for electric grids: Advances in hybrid technologies

The increasing integration of renewable energy sources and the rising demand for efficient and reliable power supply have positioned Hybrid Energy Storage Systems (HESS) as a pivotal innovation in modern electric grids. HESS synergistically combine multiple energy storage technologies, such as batteries, supercapacitors, and flywheels, to leverage their complementary strengths in energy and power density, response time, and cycle life. This review comprehensively explores the critical role of HESS in addressing contemporary grid challenges, including variability in renewable generation, peak load management, and grid stability. The paper begins by elucidating the components of HESS, emphasizing the contributions of advanced batteries, supercapacitors, flywheels, and emerging storage technologies in enhancing performance metrics. Subsequently, it delves into the design considerations necessary for HESS optimization, including configuration strategies, control methodologies, and scalability. Technological advancements, such as the integration of artificial intelligence, machine learning, and smart grid compatibility, are highlighted as transformative enablers for efficient energy management and predictive maintenance in HESS applications. Real-world implementations of HESS in grid-connected systems and microgrids are analyzed to showcase their practicality and impact in diverse energy ecosystems. Moreover, the economic and environmental dimensions of HESS are critically examined, with a focus on cost-benefit analyses and ecological considerations. Challenges, including technical, regulatory, and economic hurdles, are discussed alongside future directions for research and innovation, underscoring the need for policy alignment and sustained technological development. Looking forward, the evolution of HESS is poised to redefine energy storage paradigms, playing a central role in the global transition toward sustainable and resilient power systems. By addressing the multifaceted challenges of grid modernization, HESS hold the promise of revolutionizing energy storage, fostering greater renewable energy adoption, and securing a low-carbon energy future.

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Publication Details

Journal
World Journal of Advanced Engineering Technology and Sciences
Published
2025-02-20
DOI
https://doi.org/10.30574/wjaets.2025.14.2.0053
Citations
14
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
17.00
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article

Optimizing energy storage for electric grids: Advances in hybrid technologies

Victor Ikechukwu Stephen, ALIF FAKHRI MUHAMMAD ALIF FAKHRI MUHAMMAD, Damola Habeeb Adebayo, Joshua Adenrele Ajiboye et al.
14 citations
World Journal of Advanced Engineering Technology and Sciences
Microgrid Control and Optimization
17.00
article

Optimizing energy storage for electric grids: Advances in hybrid technologies

Victor Ikechukwu Stephen, ALIF FAKHRI MUHAMMAD ALIF FAKHRI MUHAMMAD, Damola Habeeb Adebayo, Joshua Adenrele Ajiboye, Ugochukwu Daniel Okwor, Chikadibia Daniel Ugwuijem, Emmanuel Kenechukwu Agbo
article en
14 citations

Abstract

The increasing integration of renewable energy sources and the rising demand for efficient and reliable power supply have positioned Hybrid Energy Storage Systems (HESS) as a pivotal innovation in modern electric grids. HESS synergistically combine multiple energy storage technologies, such as batteries, supercapacitors, and flywheels, to leverage their complementary strengths in energy and power density, response time, and cycle life. This review comprehensively explores the critical role of HESS in addressing contemporary grid challenges, including variability in renewable generation, peak load management, and grid stability. The paper begins by elucidating the components of HESS, emphasizing the contributions of advanced batteries, supercapacitors, flywheels, and emerging storage technologies in enhancing performance metrics. Subsequently, it delves into the design considerations necessary for HESS optimization, including configuration strategies, control methodologies, and scalability. Technological advancements, such as the integration of artificial intelligence, machine learning, and smart grid compatibility, are highlighted as transformative enablers for efficient energy management and predictive maintenance in HESS applications. Real-world implementations of HESS in grid-connected systems and microgrids are analyzed to showcase their practicality and impact in diverse energy ecosystems. Moreover, the economic and environmental dimensions of HESS are critically examined, with a focus on cost-benefit analyses and ecological considerations. Challenges, including technical, regulatory, and economic hurdles, are discussed alongside future directions for research and innovation, underscoring the need for policy alignment and sustained technological development. Looking forward, the evolution of HESS is poised to redefine energy storage paradigms, playing a central role in the global transition toward sustainable and resilient power systems. By addressing the multifaceted challenges of grid modernization, HESS hold the promise of revolutionizing energy storage, fostering greater renewable energy adoption, and securing a low-carbon energy future.

World Journal of Advanced Engineering Technology and SciencesVol. 14(2)
Openalex Percentile: Top 1%
Microgrid Control and Optimization
17.00
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