alexa PSO Optimized Load Frequency Control of Two Area Power System in Deregulated Environment
ISSN: 2332-0796

Journal of Electrical & Electronic Systems
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PSO Optimized Load Frequency Control of Two Area Power System in Deregulated Environment

Muthuraman S1*, Ajitha Priyadarsini S2 and Arumugom S3

1Higher College of Technology, Muscat, Oman

2Narayanaguru College of Engineering, Tamilnadu, India

3AR College of Engineering, Tamilnadu, India

*Corresponding Author:
Muthuraman S
Professor, Higher college of Technology
Muscat, Oman
Tel: +968 24 473600
E-mail: [email protected]

Received Date: December 16, 2016; Accepted Date: December 22, 2016; Published Date: December 29, 2016

Citation: Muthuraman S, Ajitha Priyadarsini S, Arumugom S (2016) PSO Optimized Load Frequency Control of Two Area Power System in Deregulated Environment. J Electr Electron Syst 5: 210. doi:10.4172/2332-0796.1000210

Copyright: © 2016 Muthuraman S, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.



The Load frequency control (LFC) of power systems is one of the challenges faced under deregulated conditions. To attain the LFC optimal tuning of the controller is needed. This article proposes a solution for the LFC of two area thermalthermal power systems under deregulated conditions. The controller used is Particle Swarm Optimization (PSO) tuned fuzzy logic controller (FLC). The regions are interrelated by means of standard AC tie-lines. The effects of bilateral agreements between distribution companies and generation companies are also considered. To enhance optimization synthesis and to minimize the fuzzy system work the membership functions of the FLC are tuned by PSO technique. The optimal tuning is obtained by optimizing the scaling gains of the FLC. The proposed controller is evaluated under various operating conditions in a deregulated two area environments. The simulation is carried out using Simulink/MATLAB. The PSO tuned controller showed better performance with respect to conventional Proportional Integral (PI) controller and non-tuned FLC controller.


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