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