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Nonlinear robust control design for SSSC to improve damping ...

Nonlinear robust control design for SSSC to improve damping oscillations and transient stability of power system

作     者:Bangjun Lei Xiang Wu Shumin Fei 

作者单位:Key Laboratory of power big data of Guizhou ProvinceCollege of Electrical and Information EngineeringGuizhou Institute of Technology School of Mathematical SciencesGuizhou Normal University Key Laboratory of Measurement and Control of Complex Systems of EngineeringMinistry of EducationSchool of AutomationSoutheast University 

会议名称:《第36届中国控制会议》

会议届次:36

主办单位:Dalian University of Technology;Systems Engineering Society of China (SESC);Technical Committee on Control Theory (TCCT), Chinese Association of Automation (CAA)

会议日期:2017年

学科分类:080802[工学-电力系统及其自动化] 0808[工学-电气工程] 08[工学] 

基  金:supported by project of Science and Technology Department of Guizhou province natural fund(No.Qiankehe Jzi2070,Qiankehejichu1064) the Chinese National Natural Science Foundation under Grant No.61563011 the Ph.D research fund of Guizhou Normal University under Grant No.11904-0514170 High level talent research project of Guizhou Institute of Technology(No.XJGC20150405) 

关 键 词:SSSC nonlinear robust control Hamiltonian function method oscillations damping transient stability 

摘      要:In this article, a nonlinear robust(NR) control is designed for static synchronous series compensator(SSSC) to improve transient stability and oscillation damping of power system. By taking the parameter deviations, external disturbances and unmodeled dynamics into account, the nonlinear dynamic model of SSSC can be changed into a Hamiltonian structure with the help of coordinate transformation. Based on the Hamiltonian structure of SSSC, a nonlinear robust control is designed for SSSC. Numerical simulation results on the two-area four-machine power system demonstrate the robustness and effectiveness of the proposed nonlinear robust control in comparison with the direct feedback linearization(FL) control. The study results show that the nonlinear robust control has better performance than the FL control.

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