Distributed Weight Adaptive Control for Frequency Regulation of Islanded Microgrid
Guoxing Yu,
Huihui Song,
Meng Liu,
Zongxun Song and
Yanbin Qu
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Guoxing Yu: School of New Energy, Harbin Institute of Technology, Weihai 264209, China
Huihui Song: School of New Energy, Harbin Institute of Technology, Weihai 264209, China
Meng Liu: Electric Power Research Institute, State Grid Shandong Electric Power Company, Jinan 250000, China
Zongxun Song: State Grid Weihai Supply Company, Weihai 264200, China
Yanbin Qu: School of New Energy, Harbin Institute of Technology, Weihai 264209, China
Energies, 2022, vol. 15, issue 11, 1-16
Abstract:
The consensus control method based on a multi-agent system has been widely applied in the distributed control and optimization of microgrids. However, the following drawbacks are still common in current research: (1) ignoring the influence of consensus control commands on the synchronization stability of the physical grid under primary control; (2) only focusing on improving one property ofcontrol performance, lacking comprehensive considerations of multiple properties. With the aim of solving these problems, in this paper we propose a weight-adaptive robust control strategy for implementing distributed frequency regulation of islanded microgrids. Firstly, the frequency synchronization stability of the physical layer is analyzed by means of a coupled oscillator theory and the design objectives of the controllable parameters for the information layer are formed. Subsequently, the relationship between the weight coefficients and the two important control performances of convergence speed and delay robustness is strictly analyzed. Based on this, an adaptive coefficient that can be autonomously adjusted according to the frequency deviation is designed to achieve a trade-off between convergence speed and delay robustness. Finally, three simulation studies are presented to verify the effectiveness of the proposed control strategy.
Keywords: adaptive control; distributed control; frequency regulation; islanded microgrid; multi-agent system (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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