DocumentCode
26222
Title
Modelling robustness for a flexible grid-tied photovoltaic generation system
Author
Peng Li ; Ziheng Yin ; Jing Zhang ; Duo Xu
Author_Institution
State Key Lab. of Alternate Electr. Power Syst. with Renewable Energy Sources, North China Electr. Power Univ., Baoding, China
Volume
9
Issue
4
fYear
2015
fDate
5 2015
Firstpage
315
Lastpage
322
Abstract
Robustness to modelling inaccuracy is a vital characteristic of a controller, because no matter how accurate a model is, modelling inaccuracies always exist. However, it is difficult to achieve satisfactory nominal and robust performance of a grid-tied photovoltaic (PV) generation system at the same time, using traditional controller design methods. To solve this problem, a μ-synthesis control method combined with the application of linear fraction transformation (LFT) is proposed in this study. The proposed method is designed with object transforming and implemented with DK iteration. The μ-analysis and simulation results prove that the objective can be achieved under various microgrid conditions, determined by factors such as grid connection point voltage, load conditions and component parameter perturbations. Compared with traditional controller design methods, the grid-tied PV generation system under μ-synthesis control exhibits comparatively large perturbation margin for nominal performance and robust stability, and simultaneously is capable of guaranteeing the preset perturbation range for robust performance.
Keywords
control system synthesis; distributed power generation; photovoltaic power systems; power grids; robust control; μ-analysis; μ-synthesis control method; DK iteration; LFT; PV generation system; component parameter perturbation; controller design methods; flexible grid-tied photovoltaic generation system; grid connection point voltage; linear fraction transformation; microgrid; robust stability;
fLanguage
English
Journal_Title
Renewable Power Generation, IET
Publisher
iet
ISSN
1752-1416
Type
jour
DOI
10.1049/iet-rpg.2014.0098
Filename
7084784
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