Optimizations of PID gains by particle swarm optimizations in fuzzy based automatic generation control

[1]  S. P. Ghoshal,et al.  Application of GA/GA-SA based fuzzy automatic generation control of a multi-area thermal generating system , 2004 .

[2]  Sakti Prasad Ghoshal,et al.  Application of GA based optimal integral gains in fuzzy based active power-frequency control of non-reheat and reheat thermal generating systems , 2003 .

[3]  Yoshikazu Fukuyama,et al.  A hybrid particle swarm optimization for distribution state estimation , 2003, 2003 IEEE Power Engineering Society General Meeting (IEEE Cat. No.03CH37491).

[4]  J. Teng,et al.  A Novel ACS-Based Optimum Switch Relocation Method , 2002, IEEE Power Engineering Review.

[5]  Yuhui Shi,et al.  Particle swarm optimization: developments, applications and resources , 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).

[6]  Jawad Talaq,et al.  Adaptive fuzzy gain scheduling for load frequency control , 1999 .

[7]  P. J. Angeline,et al.  Using selection to improve particle swarm optimization , 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).

[8]  Russell C. Eberhart,et al.  Parameter Selection in Particle Swarm Optimization , 1998, Evolutionary Programming.

[9]  Michael Negnevitsky,et al.  Fuzzy tuning in electric power generation control , 1997 .

[10]  James Kennedy,et al.  Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.

[11]  Allen J. Wood,et al.  Power Generation, Operation, and Control , 1984 .

[12]  B. L. Kaul,et al.  Automatic generation control of an interconnected power system , 1978 .