Application of Coordinated SOFC and SMES Robust Control for Stabilizing Tie-Line Power

Wind power causes fluctuations in power systems and introduces issues concerning system stability and power quality because of the lack of controllability of its discontinuous and intermittent resources. This paper presents a coordinated control strategy for solid oxide fuel cells (SOFCs) and superc...

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Main Authors: Wei Liu, Haojun Yu, Wei Gu, Ning Zhang
Format: Article
Language:English
Published: MDPI AG 2013-04-01
Series:Energies
Subjects:
Online Access:http://www.mdpi.com/1996-1073/6/4/1902
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spelling doaj-166ee7d25f15463f96b21f9c4bda1f5b2020-11-24T22:55:53ZengMDPI AGEnergies1996-10732013-04-01641902191710.3390/en6041902Application of Coordinated SOFC and SMES Robust Control for Stabilizing Tie-Line PowerWei LiuHaojun YuWei GuNing ZhangWind power causes fluctuations in power systems and introduces issues concerning system stability and power quality because of the lack of controllability of its discontinuous and intermittent resources. This paper presents a coordinated control strategy for solid oxide fuel cells (SOFCs) and superconducting magnetic energy storage (SMES) to match the intermittent wind power generation and compensate for the rapid load changes. An optimal H∞ control method, where the weighting function selection is expressed as an optimization problem, is proposed to mitigate tie-line power fluctuations and the mixed-sensitivity approach is used to deal with the interference suppression. Simulation results show that the proposed method significantly improves the smoothing effect of wind power fluctuations. Compared with the conventional control method, the proposed method has better anti-interference performance in various operating situations.http://www.mdpi.com/1996-1073/6/4/1902H∞ optimal controlmicrogridsolid oxide fuel cellsuperconducting magnetic energy storagemixed-sensitivity problemparticle swarm optimization (PSO)
collection DOAJ
language English
format Article
sources DOAJ
author Wei Liu
Haojun Yu
Wei Gu
Ning Zhang
spellingShingle Wei Liu
Haojun Yu
Wei Gu
Ning Zhang
Application of Coordinated SOFC and SMES Robust Control for Stabilizing Tie-Line Power
Energies
H∞ optimal control
microgrid
solid oxide fuel cell
superconducting magnetic energy storage
mixed-sensitivity problem
particle swarm optimization (PSO)
author_facet Wei Liu
Haojun Yu
Wei Gu
Ning Zhang
author_sort Wei Liu
title Application of Coordinated SOFC and SMES Robust Control for Stabilizing Tie-Line Power
title_short Application of Coordinated SOFC and SMES Robust Control for Stabilizing Tie-Line Power
title_full Application of Coordinated SOFC and SMES Robust Control for Stabilizing Tie-Line Power
title_fullStr Application of Coordinated SOFC and SMES Robust Control for Stabilizing Tie-Line Power
title_full_unstemmed Application of Coordinated SOFC and SMES Robust Control for Stabilizing Tie-Line Power
title_sort application of coordinated sofc and smes robust control for stabilizing tie-line power
publisher MDPI AG
series Energies
issn 1996-1073
publishDate 2013-04-01
description Wind power causes fluctuations in power systems and introduces issues concerning system stability and power quality because of the lack of controllability of its discontinuous and intermittent resources. This paper presents a coordinated control strategy for solid oxide fuel cells (SOFCs) and superconducting magnetic energy storage (SMES) to match the intermittent wind power generation and compensate for the rapid load changes. An optimal H∞ control method, where the weighting function selection is expressed as an optimization problem, is proposed to mitigate tie-line power fluctuations and the mixed-sensitivity approach is used to deal with the interference suppression. Simulation results show that the proposed method significantly improves the smoothing effect of wind power fluctuations. Compared with the conventional control method, the proposed method has better anti-interference performance in various operating situations.
topic H∞ optimal control
microgrid
solid oxide fuel cell
superconducting magnetic energy storage
mixed-sensitivity problem
particle swarm optimization (PSO)
url http://www.mdpi.com/1996-1073/6/4/1902
work_keys_str_mv AT weiliu applicationofcoordinatedsofcandsmesrobustcontrolforstabilizingtielinepower
AT haojunyu applicationofcoordinatedsofcandsmesrobustcontrolforstabilizingtielinepower
AT weigu applicationofcoordinatedsofcandsmesrobustcontrolforstabilizingtielinepower
AT ningzhang applicationofcoordinatedsofcandsmesrobustcontrolforstabilizingtielinepower
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