Perturbation Observer Based Fractional-Order Control for SMES Systems Based on Jellyfish Search Algorithm

The electric energy storage system (EESS) is considered as an efficient and promising tool to alleviate the power imbalance of grid-connected microgrid with distributed generation (DG). This work develops a perturbation observer-based fractional-order control (POFOC) strategy for superconducting mag...

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Autores principales:	Ke Luo, Yingying Jiao, Jiawei Zhu
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	superconducting magnetic energy storage systems distributed generation fractional-order control jellyfish search algorithm perturbation observer General Works A
Acceso en línea:	https://doaj.org/article/aff93c94f88d436cac6cab14e57c4790
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spelling	oai:doaj.org-article:aff93c94f88d436cac6cab14e57c47902021-11-12T08:22:26ZPerturbation Observer Based Fractional-Order Control for SMES Systems Based on Jellyfish Search Algorithm2296-598X10.3389/fenrg.2021.781774https://doaj.org/article/aff93c94f88d436cac6cab14e57c47902021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fenrg.2021.781774/fullhttps://doaj.org/toc/2296-598XThe electric energy storage system (EESS) is considered as an efficient and promising tool to alleviate the power imbalance of grid-connected microgrid with distributed generation (DG). This work develops a perturbation observer-based fractional-order control (POFOC) strategy for superconducting magnetic energy storage (SMES) system. Initially, a high-gain state and perturbation observer (HGSPO) is designed for reliable estimation of the combined impact of the nonlinearities, parameter uncertainties, unmodeled dynamics, and external disturbances of SMES. Then the storage function of an SMES system is designed, which takes favorable terms into serious consideration to sufficiently utilize the physical properties of the SMES system. Moreover, a fractional-order control framework is applied for complete compensation for the estimated perturbation and adopted as the attached input to boost its dynamical responses. Furthermore, a newly proposed jellyfish search algorithm (JSA) is utilized to realize optimization and tuning of control gains of the developed strategy, upon which high-quality global optimum can be obtained to ensure prominent controlling performance. Case studies, e.g., active power and reactive power supply and system restoration capability under power grid fault effectively validate the effectiveness and reliability of the POFOC strategy compared with traditional PID control and interconnection and damping assignment passivity-based controller (IDA-PBC). In particular, the overshoot of PID is 115.264% of the rated value, while POFOC has no overshoot.Ke LuoYingying JiaoJiawei ZhuFrontiers Media S.A.articlesuperconducting magnetic energy storage systemsdistributed generationfractional-order controljellyfish search algorithmperturbation observerGeneral WorksAENFrontiers in Energy Research, Vol 9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	superconducting magnetic energy storage systems distributed generation fractional-order control jellyfish search algorithm perturbation observer General Works A
spellingShingle	superconducting magnetic energy storage systems distributed generation fractional-order control jellyfish search algorithm perturbation observer General Works A Ke Luo Yingying Jiao Jiawei Zhu Perturbation Observer Based Fractional-Order Control for SMES Systems Based on Jellyfish Search Algorithm
description	The electric energy storage system (EESS) is considered as an efficient and promising tool to alleviate the power imbalance of grid-connected microgrid with distributed generation (DG). This work develops a perturbation observer-based fractional-order control (POFOC) strategy for superconducting magnetic energy storage (SMES) system. Initially, a high-gain state and perturbation observer (HGSPO) is designed for reliable estimation of the combined impact of the nonlinearities, parameter uncertainties, unmodeled dynamics, and external disturbances of SMES. Then the storage function of an SMES system is designed, which takes favorable terms into serious consideration to sufficiently utilize the physical properties of the SMES system. Moreover, a fractional-order control framework is applied for complete compensation for the estimated perturbation and adopted as the attached input to boost its dynamical responses. Furthermore, a newly proposed jellyfish search algorithm (JSA) is utilized to realize optimization and tuning of control gains of the developed strategy, upon which high-quality global optimum can be obtained to ensure prominent controlling performance. Case studies, e.g., active power and reactive power supply and system restoration capability under power grid fault effectively validate the effectiveness and reliability of the POFOC strategy compared with traditional PID control and interconnection and damping assignment passivity-based controller (IDA-PBC). In particular, the overshoot of PID is 115.264% of the rated value, while POFOC has no overshoot.
format	article
author	Ke Luo Yingying Jiao Jiawei Zhu
author_facet	Ke Luo Yingying Jiao Jiawei Zhu
author_sort	Ke Luo
title	Perturbation Observer Based Fractional-Order Control for SMES Systems Based on Jellyfish Search Algorithm
title_short	Perturbation Observer Based Fractional-Order Control for SMES Systems Based on Jellyfish Search Algorithm
title_full	Perturbation Observer Based Fractional-Order Control for SMES Systems Based on Jellyfish Search Algorithm
title_fullStr	Perturbation Observer Based Fractional-Order Control for SMES Systems Based on Jellyfish Search Algorithm
title_full_unstemmed	Perturbation Observer Based Fractional-Order Control for SMES Systems Based on Jellyfish Search Algorithm
title_sort	perturbation observer based fractional-order control for smes systems based on jellyfish search algorithm
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/aff93c94f88d436cac6cab14e57c4790
work_keys_str_mv	AT keluo perturbationobserverbasedfractionalordercontrolforsmessystemsbasedonjellyfishsearchalgorithm AT yingyingjiao perturbationobserverbasedfractionalordercontrolforsmessystemsbasedonjellyfishsearchalgorithm AT jiaweizhu perturbationobserverbasedfractionalordercontrolforsmessystemsbasedonjellyfishsearchalgorithm
_version_	1718431072563232768

Perturbation Observer Based Fractional-Order Control for SMES Systems Based on Jellyfish Search Algorithm

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