Title :
Studies on Parameter Identification Using Genetic Algorithm in Power System
Author :
Dongyu, Shi ; Xiaorong, Xie ; Luyuan, Tong
Author_Institution :
Dept. of Electr. Eng., Tsinghua Univ., Beijing
Abstract :
The authors introduced a novel method to identify the model parameters in the range of whole power system. The method records voltages and angles of main buses while the disturbance occurs. Then, the comparison will be made between simulations and recorded dynamics. The model parameters will be gained iteratively by using genetic algorithm. The method has been applied to identify the model parameters in the New-England system. The results are promising
Keywords :
genetic algorithms; power system faults; power system identification; power system simulation; New-England system; genetic algorithm; parameter identification; power system disturbance; power system modeling; Genetic algorithms; Load modeling; Parameter estimation; Power system dynamics; Power system modeling; Power system planning; Power system simulation; Power system stability; Power system transients; Power systems; genetic algorithm; parameter identification; power system modeling; power system stability;
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.2005.1547045
