Title: Automatic generation control of restructured power systems with combined intelligent techniques
Authors: S.K. Sinha, R. Prasad, R.N. Patel
Addresses: Department of Electrical Engineering, Indian Institute of Technology, Roorkee 247667, Uttarakhand, India. ' Department of Electrical Engineering, Indian Institute of Technology, Roorkee 247667, Uttarakhand, India. ' Department of Electrical and Electronics, S.S. College of Engineering and Technology, Bhilai 490020, Chhattisgarh, India
Abstract: In this paper different artificial intelligence techniques have been used for the automatic generation control of two area restructured power system for bilateral contracts. Bio-inspired computation techniques such as genetic algorithm and particle swarm optimisation have been used to optimise the parameters of a fuzzy based controller for a two area power system. An attempt has been made to compare the performances in terms of time taken to damp out oscillations in the two areas. Other parameters for comparison include the final steady state value of frequency, tie-line power interchange and power generated by different generating companies (GENCOs) in the event of load change for different controllers in automatic generation control (AGC) system. The concept of distribution companies (DISCO) participation matrix to simulate bilateral contracts is used in this study.
Keywords: automatic generation control; AGC; bilateral contracts; bio-inspired computation; optimisation; deregulated power systems; DISCO participation matrix; DPM; fuzzy logic; genetic algorithms; GAs; particle swarm optimisation; PSO; restructured power systems; fuzzy control; load change oscillations.
International Journal of Bio-Inspired Computation, 2010 Vol.2 No.2, pp.124 - 131
Available online: 10 Mar 2010 *Full-text access for editors Access for subscribers Purchase this article Comment on this article