DocumentCode :
2996756
Title :
Automatic Generation Control Strategies under CPS Based on Particle Swarm Optimization Algorithm
Author :
Luo, Weihua ; Shi, Yibin
Author_Institution :
Power Dispatching & Commun. Center, Liaoning Electr. Power Co. Ltd., Shenyang, China
fYear :
2010
fDate :
25-27 June 2010
Firstpage :
3400
Lastpage :
3403
Abstract :
The paper applied PSO (particle swarm optimization) Algorithm to AGC (automatic generation control) Strategy in interconnected power grid in the CPS (Control Performance Standard) standard. Firstly, analyze PSO, ACE (area controlling error) and CPS. Secondly, apply PSO Algorithm to AGC Strategy. The simulations on the practical power grid have shown that this control strategy is promising due to reducing the number of order effectively, improving the AGC performance, and the guarantees of the frequency quality and the safety operation in power system.
Keywords :
particle swarm optimisation; power generation control; power grids; power system interconnection; power system simulation; ACE; AGC; CPS; area controlling error; automatic generation control strategies; control performance standard; frequency quality; interconnected power grid; particle swarm optimization; power system; Automatic generation control; Frequency control; Generators; Optimization; Particle swarm optimization; Power grids; automatic generation control; control performance standa; particle swarm optimization algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Control Engineering (ICECE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6880-5
Type :
conf
DOI :
10.1109/iCECE.2010.830
Filename :
5630708
Link To Document :
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