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XU Aoran,GU Cailian,GAO Jing,LIU Baoliang,SUN Zhuo,LI Shan.Small Disturbance Stability Analysis of Independent Microgrid in Droop Control Mode[J].JOURNAL OF POWER SUPPLY,2021,19(2):100-111
Small Disturbance Stability Analysis of Independent Microgrid in Droop Control Mode
Received:March 01, 2019  Revised:February 13, 2021
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DOI:10.13234/j.issn.2095-2805.2021.2.100
Keywords:independent microgrid system  droop control  small disturbance linearization  eigenvalue analysis  Lyapunov criterion  root locus  experimental verification
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AuthorInstitutionEmail
XU Aoran School of Electric Power, Shenyang Institute of Engineering, Shenyang , China 656085652@qq.com
GU Cailian School of Electric Power, Shenyang Institute of Engineering, Shenyang , China
GAO Jing School of Electric Power, Shenyang Institute of Engineering, Shenyang , China
LIU Baoliang School of Electric Power, Shenyang Institute of Engineering, Shenyang , China
SUN Zhuo State Grid Liaoyang Power Supply Company, Liaoyang , China
LI Shan Zhongzhou Converter Station of State Grid Corporation of China, Zhengzhou , China
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Abstract:
      Starting from the principle of power system operation, the study of the operation stability of independent microgrid system is of significance to promoting its stable operation. Aimed at the operation stability of independent microgrid system, its small disturbance problem in droop control mode is analyzed on the basis of the Lyapunov criterion and eigenvalue analysis method. First, the mathematical model of independent microgrid system in droop control mode is constructed, and small disturbance linearization analysis is performed based on the linearization theory, thus obtaining the system's small disturbance linearization state matrix. Second, based on the Lyapunov criterion theory, the eigenvalues of this matrix are analyzed, and the root locus of these eigenvalues is obtained by changing the range of system parameters one by one. Finally, based on the eigenvalue root locus of the state matrix, the preliminary optimization results of system parameters are determined, and the eigenvalue distributions of the system state matrix before and after optimization are compared. The theoretical analysis and experimental verification show that the reliability of system operation after the preliminary optimization is enhanced. The research results of this paper can provide ideas and methods for the optimal selection of microgrid control parameters.
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