Title :
Distributed control for load frequency of power networks based on iterative gradient methods
Author :
Kato, Taichiro ; Namerikawa, Toru
Author_Institution :
Dept. of Syst. Design Eng., Keio Univ., Yokohama, Japan
Abstract :
This paper deals with a distributed control for load frequency of power networks based on iterative gradient methods. The control objective is to minimize the quadratic cost function of load frequency control problem, and we apply this distributed control methodology to complicated large scale electrical power networks by using iterative gradient methods. Finally, simulation results of distributed large scale power network systems including distributed generations, batteries, and renewable energies in order to show the effectiveness of the load frequency control compared with decentralized control and centralized control.
Keywords :
centralised control; decentralised control; distributed control; distributed power generation; frequency control; gradient methods; large-scale systems; load regulation; power distribution control; power generation control; renewable energy sources; centralized control; decentralized control; distributed battery; distributed control methodology; distributed generation; distributed large scale power network system; iterative gradient method; load frequency control problem; power network; quadratic cost function minimization; renewable energy; Distributed control; Frequency control; Generators; Gradient methods; Mathematical model; Power systems; Water heating; Distributed Generator; Distributed control; Gradient Methods; Load Frequency; Power Network;
Conference_Titel :
SICE Annual Conference (SICE), 2011 Proceedings of
Conference_Location :
Tokyo
Print_ISBN :
978-1-4577-0714-8