TY - GEN
T1 - VSC Based Controller for Damping SSR in Multigenerator System Using Genetic Algorithm and Simulated Annealing
AU - Yuan, Xiaotian
AU - Li, Yujun
AU - Wu, Xiaofang
AU - Gao, Shuai
AU - Zeng, Feng
AU - Du, Zhengchun
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/8/2
Y1 - 2020/8/2
N2 - Sub-synchronous resonance (SSR) has become a serious potential threat for both generators and power grid in the modern power system. To deal with this problem, a voltage source converter (VSC) based controller named sub-synchronous resonance dynamic suppressor (SSRDS) is proposed and designed by genetic algorithm and simulated annealing (GA-SA). The control strategy of the SSRDS and its mechanism of damping SSR are presented and analyzed in this study. To improve the robustness and the damping effect of the SSRDS in the multi-mode and multi-generator system, the GA-SA is adopted to obtain the optimal control parameters. Based on the defined fitness function, the mathematical model of the optimization problem of the SSRDS is established and well solved by GA-SA in MATLAB. The nonlinear simulations based on a real multi-generator system in western China is performed in PSCAD to investigate the effectiveness of the proposed control strategy.
AB - Sub-synchronous resonance (SSR) has become a serious potential threat for both generators and power grid in the modern power system. To deal with this problem, a voltage source converter (VSC) based controller named sub-synchronous resonance dynamic suppressor (SSRDS) is proposed and designed by genetic algorithm and simulated annealing (GA-SA). The control strategy of the SSRDS and its mechanism of damping SSR are presented and analyzed in this study. To improve the robustness and the damping effect of the SSRDS in the multi-mode and multi-generator system, the GA-SA is adopted to obtain the optimal control parameters. Based on the defined fitness function, the mathematical model of the optimization problem of the SSRDS is established and well solved by GA-SA in MATLAB. The nonlinear simulations based on a real multi-generator system in western China is performed in PSCAD to investigate the effectiveness of the proposed control strategy.
KW - Genetic algorithm and simulated annealing
KW - Optimal based control
KW - Sub-synchronous resonance (SSR)
KW - Voltage source converter (VSC)
UR - https://www.scopus.com/pages/publications/85099127814
U2 - 10.1109/PESGM41954.2020.9282130
DO - 10.1109/PESGM41954.2020.9282130
M3 - 会议稿件
AN - SCOPUS:85099127814
T3 - IEEE Power and Energy Society General Meeting
BT - 2020 IEEE Power and Energy Society General Meeting, PESGM 2020
PB - IEEE Computer Society
T2 - 2020 IEEE Power and Energy Society General Meeting, PESGM 2020
Y2 - 2 August 2020 through 6 August 2020
ER -
