Energy storage system modeling and control for power grid services

The fast growth of energy demand, the incorporation of renewable energy sources, and the necessity to ensure a reliable and stable power supply have brought significant challenges to the existing load frequency control (LFC) systems. In the context of modern power networks, LFC systems are required...

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Autor principal: Zhou, Qidi
Outros Autores: Xu Yan
Formato: Thesis-Master by Coursework
Idioma:English
Publicado em: Nanyang Technological University 2023
Assuntos:
Acesso em linha:https://hdl.handle.net/10356/168095
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author Zhou, Qidi
author2 Xu Yan
author_facet Xu Yan
Zhou, Qidi
author_sort Zhou, Qidi
collection NTU
description The fast growth of energy demand, the incorporation of renewable energy sources, and the necessity to ensure a reliable and stable power supply have brought significant challenges to the existing load frequency control (LFC) systems. In the context of modern power networks, LFC systems are required to maintain the balance between generated and consumed power to guarantee stable frequency and secure operation of the interconnected grids. Incorporating energy storage systems (ESS) into LFC schemes has emerged as a promising solution to address these challenges, thereby improving the overall system performance. In this paper, we first introduce the principles and concepts of primary and secondary frequency control, and analyze their impacts on power system frequency stability. Then, we formulate models for the load frequency control system components. Subsequently, based on the energy storage system’s characteristics including the internal structure, equivalent circuit structure, and frequency regulation ability in LFC system, three common energy storage system models for LFC are investigated: Li-ion Battery Energy Storage System, Superconducting Magnetic Energy Storage System, and Redox Flow Battery. In particular, we established the Linear incremental models for these three batteries and developed corresponding simulation models in Simulink. Finally, load frequency control models using these three energy storage sources are established for a single-area control system and simulated in MATLAB/Simulink. We compare and analyze the frequency fluctuation with and without the connection of the battery models, as well as the settling time. The state-of-charge of the batteries is also compared.
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spelling ntu-10356/1680952023-07-04T16:16:23Z Energy storage system modeling and control for power grid services Zhou, Qidi Xu Yan School of Electrical and Electronic Engineering xuyan@ntu.edu.sg Engineering::Electrical and electronic engineering::Electric power::Auxiliaries, applications and electric industries Engineering::Electrical and electronic engineering::Electric power::Production, transmission and distribution The fast growth of energy demand, the incorporation of renewable energy sources, and the necessity to ensure a reliable and stable power supply have brought significant challenges to the existing load frequency control (LFC) systems. In the context of modern power networks, LFC systems are required to maintain the balance between generated and consumed power to guarantee stable frequency and secure operation of the interconnected grids. Incorporating energy storage systems (ESS) into LFC schemes has emerged as a promising solution to address these challenges, thereby improving the overall system performance. In this paper, we first introduce the principles and concepts of primary and secondary frequency control, and analyze their impacts on power system frequency stability. Then, we formulate models for the load frequency control system components. Subsequently, based on the energy storage system’s characteristics including the internal structure, equivalent circuit structure, and frequency regulation ability in LFC system, three common energy storage system models for LFC are investigated: Li-ion Battery Energy Storage System, Superconducting Magnetic Energy Storage System, and Redox Flow Battery. In particular, we established the Linear incremental models for these three batteries and developed corresponding simulation models in Simulink. Finally, load frequency control models using these three energy storage sources are established for a single-area control system and simulated in MATLAB/Simulink. We compare and analyze the frequency fluctuation with and without the connection of the battery models, as well as the settling time. The state-of-charge of the batteries is also compared. Master of Science (Power Engineering) 2023-05-26T05:57:18Z 2023-05-26T05:57:18Z 2023 Thesis-Master by Coursework Zhou, Q. (2023). Energy storage system modeling and control for power grid services. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/168095 https://hdl.handle.net/10356/168095 en application/pdf Nanyang Technological University
spellingShingle Engineering::Electrical and electronic engineering::Electric power::Auxiliaries, applications and electric industries
Engineering::Electrical and electronic engineering::Electric power::Production, transmission and distribution
Zhou, Qidi
Energy storage system modeling and control for power grid services
title Energy storage system modeling and control for power grid services
title_full Energy storage system modeling and control for power grid services
title_fullStr Energy storage system modeling and control for power grid services
title_full_unstemmed Energy storage system modeling and control for power grid services
title_short Energy storage system modeling and control for power grid services
title_sort energy storage system modeling and control for power grid services
topic Engineering::Electrical and electronic engineering::Electric power::Auxiliaries, applications and electric industries
Engineering::Electrical and electronic engineering::Electric power::Production, transmission and distribution
url https://hdl.handle.net/10356/168095
work_keys_str_mv AT zhouqidi energystoragesystemmodelingandcontrolforpowergridservices