Title :
Genetic algorithm based control for VSC HVDC
Author :
Zhaoqing, Hu ; Chengxiong, Mao ; Jiming, Lu ; Man, Chen
Author_Institution :
Coll. of Electr. & Electron. Eng., Huazhong Univ. of Sci. & Technol.
Abstract :
VSC HVDC has a wide application prospect and it has many merits in contrast to conventional HVDC. The models of AC/DC hybrid power system with VSC HVDC are established in this paper. Utilizing the fast power flow adjustment ability of VSC HVDC, a novel control strategy stabilizing AC and DC system synthetically is proposed. A performance index, which is composed of generator and AC system variables, is formed for the optimization of controller parameters by using genetic algorithm (GA). The simulation results illustrate that with the proposed control strategy, the AC and DC system can recover rapidly from a large disturbance; furthermore, they have no negative influence on each other
Keywords :
HVDC power convertors; HVDC power transmission; genetic algorithms; hybrid power systems; optimal control; power system stability; power transmission control; power transmission faults; AC-DC hybrid power system model; AC-DC system stability; control strategy; genetic algorithm based control; optimal control; optimization; performance index; power flow adjustment; power system disturbance; voltage sourced converter HVDC; AC generators; Control systems; Genetic algorithms; HVDC transmission; Lighting control; Optimal control; Power conversion; Power system modeling; Pulse width modulation converters; Voltage control; AC/DC; Genetic Algorithm (GA); VSC HVDC; optimal control strategy;
Conference_Titel :
Transmission and Distribution Conference and Exhibition: Asia and Pacific, 2005 IEEE/PES
Conference_Location :
Dalian
Print_ISBN :
0-7803-9114-4
DOI :
10.1109/TDC.2005.1546806
