Design of robust PSS to improve stability of composed LFC and AVR using ABC in deregulated environment

This paper presents the robust design of a Power System Stabilizer (PSS) to improve the stability in the composed two-area Load Frequency Control (LFC) and Automatic Voltage Regulator (AVR) using Artificial Bee Colony (ABC) in a restructured environment. The coupling effects of the LFC and AVR loops are studied by extending the linearized Automatic Generation Control (AGC) system to include the excitation system. The proposed method is tested on the two-area power system. The simulation results show that adding a coordinative PSS on this model can improve the dynamic stability of the power system and effectively suppresses the low frequency oscillation. The effectiveness of the proposed method is compared with twoarea system in a deregulated environment without AVR using Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) techniques. Keywords; Artificial Bee Colony, PSS, Load Frequency Control, AVR, Two-Area Power System.

[1]  M. A. Abido,et al.  A particle-swarm-based approach of power system stability enhancement with unified power flow controller , 2007 .

[2]  Hossein Shayeghi,et al.  A Genetic Algorithm Based AGC of a Restructured Power System , 2006, IC-AI.

[3]  E. Rakhshani,et al.  Application of power system stabilizer in a combined model of LFC and AVR loops to enhance system stability , 2010, 2010 International Conference on Power System Technology.

[4]  Kumars Rouzbehi,et al.  A New Combined Model for Simulation of Mutual Effects between LFC and AVR Loops , 2009, 2009 Asia-Pacific Power and Energy Engineering Conference.

[5]  Hossein Shayeghi,et al.  Design Rule-Base of Fuzzy Controller in Multimachine Power System Stabilizer Using Genetic Algorithm , 2010, IC-AI.

[6]  Mohammad S. Naderi,et al.  Optimal tuning of multi-machine Power System Stabilizer parameters using Genetic-Algorithm , 2010, 2010 International Conference on Power System Technology.

[7]  Siba K. Udgata,et al.  Artificial bee colony algorithm for small signal model parameter extraction of MESFET , 2010, Eng. Appl. Artif. Intell..

[8]  Amin Safari,et al.  A robust PSSs design using PSO in a multi-machine environment , 2010 .

[9]  Om P. Malik,et al.  Robust decentralized neural networks based LFC in a deregulated power system , 2007 .

[10]  Dervis Karaboga,et al.  AN IDEA BASED ON HONEY BEE SWARM FOR NUMERICAL OPTIMIZATION , 2005 .

[11]  Dervis Karaboga,et al.  A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm , 2007, J. Glob. Optim..

[12]  H. Shayeghi,et al.  PSO BASED NEURO-FUZZY CONTROLLER FOR LFC DESIGN INCLUDING COMMUNICATION TIME DELAYS , 2011 .

[13]  Shengwei Mei,et al.  Optimal load-frequency control in restructured power systems , 2003 .

[14]  Gi-Hyun Hwang,et al.  Design of fuzzy power system stabilizer using adaptive evolutionary algorithm , 2008, Eng. Appl. Artif. Intell..

[15]  S. Sumathi,et al.  Particle Swarm Optimization Based LFC and AVR of Autonomous Power Generating System , 2010 .