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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Online Access: | http://www.mdpi.com/1996-1073/6/4/1902 |
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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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