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Optimal Configuration Method of Power-Energy Hybrid Storage Systems for Renewable Power Plants

  • 2025
  • OriginalPaper
  • Chapter
Published in:
Authors
Yanda Huo
Jiahui Qu
Yang Wang
Hua Jiang
Published in
Advances in Energy Power and Automation Engineering
Publisher
Springer Nature Singapore

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Abstract

This chapter delves into the optimal configuration methods for power-energy hybrid storage systems (PEHSSs) in renewable power plants (RPPs). It begins by addressing the challenges posed by the volatile and random output of renewable energy sources, emphasizing the need for hybrid energy storage systems (HESSs) to improve grid-related performance. The chapter introduces a framework for optimizing the configuration of HESSs, utilizing empirical mode decomposition (EMD) to separate high-frequency and low-frequency components of renewable energy output. High-frequency fluctuations are managed through power-type energy storage, while low-frequency components are addressed with energy-type storage. The text also discusses various types of energy storage systems, including lithium-ion batteries, flow batteries, and supercapacitors, highlighting their technical features and maturity levels. Case studies are presented to demonstrate the effectiveness of the proposed configuration methods, showing significant reductions in power fluctuations and improved system stability. The chapter concludes by emphasizing the importance of reasonable and effective configuration of HESS capacity for the economic and secure operation of renewable energy plants.
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previous chapter Load Forecasting Based on SABO-PSO-ELM Hybrid Algorithm
next chapter Integrated Optimal Operation of Rural Microgrid Production Management Considering Photovoltaic Outputs
Title
Optimal Configuration Method of Power-Energy Hybrid Storage Systems for Renewable Power Plants
Authors
Yanda Huo
Jiahui Qu
Yang Wang
Hua Jiang
Copyright Year
2025
Publisher
Springer Nature Singapore
Book
Advances in Energy Power and Automation Engineering

Print ISBN: 978-981-9690-08-4

Electronic ISBN: 978-981-9690-09-1

Copyright Year: 2025

DOI
https://doi.org/10.1007/978-981-96-9009-1_16
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