Design and Scrutiny of Maiden PSS for Alleviation of Power System Oscillations Using RCGA and PSO Techniques

In this paper, a novel and robust Power System Stabilizer (PSS) is proposed as an effective approach to improve stability in electric power systems. The dynamic performance of proposed PSS has been thoroughly compared with Conventional PSS (CPSS). Both the Real Coded Genetic Algorithm (RCGA) and Particle Swarm Optimization (PSO) techniques are applied to optimum tune the parameter of both the proposed PSS and CPSS in order to damp-out power system oscillations. Due to the high sufficiency of both the RCGA and PSO techniques to solve the very non-linear objective, they have been employed for solution of the optimization problem. In order to verify the dynamic performance of these devices, different conditions of disturbance are taken into account in Single Machine Infinite Bus (SMIB) power system. Moreover, to ensure the robustness of proposed PSS in damping the power system multi-mode oscillations, a Multi Machine (MM) power system under various disturbances are considered as a test system. The results of nonlinear simulation strongly suggest that the proposed PSS significantly enhances the power system dynamic stability in both of the SMIB and MM power system as compared to CPSS.

[1]  Jong-Keun Park,et al.  Impacts of Wind Power Integration on Generation Dispatch in Power Systems , 2013 .

[2]  Sidhartha Panda,et al.  Multi-objective evolutionary algorithm for SSSC-based controller design , 2009 .

[3]  Devendra K. Chaturvedi,et al.  Generalized neuron-based PSS and adaptive PSS , 2005 .

[4]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[5]  P. Kundur,et al.  Power system stability and control , 1994 .

[6]  I. Sen,et al.  Robust pole placement stabilizer design using linear matrix inequalities , 2000 .

[7]  B. C. Pal,et al.  Robust pole placement versus root-locus approach in the context of damping interarea oscillations in power systems , 2002 .

[8]  Ali Darvish Falehi.  Simultaneous Coordinated Design of TCSC-Based Damping Controller and AVR Based on PSO Technique , 2012 .

[9]  James D. McCalley,et al.  Damping controller design for power system oscillations using global signals , 1996 .

[10]  Narayana Prasad Padhy,et al.  Optimal location and controller design of STATCOM for power system stability improvement using PSO , 2008, J. Frankl. Inst..

[11]  Byongjun Lee,et al.  Hybrid PSO-Complex Algorithm Based Parameter Identification for a Composite Load Model , 2013 .

[12]  Luis Rouco,et al.  An eigenvalue sensitivity approach to location and controller design of controllable series capacito , 1997 .

[13]  A. M. El-Zonkoly,et al.  Optimal tunning of lead-lag and fuzzy logic power system stabilizers using particle swarm optimization , 2009, Expert Syst. Appl..

[14]  T.F. Laskowski,et al.  Concepts of power system dynamic stability , 1975, IEEE Transactions on Power Apparatus and Systems.

[15]  Sakti Prasad Ghoshal,et al.  Application of capacitive energy storage for transient performance improvement of power system , 2009 .

[16]  P. K. Dash,et al.  Genetically Optimized Neuro-Fuzzy IPFC for Damping Modal Oscillations of Power Systems , 2002 .

[17]  S. J. Cheng,et al.  Evolutionary optimization techniques for optimal location and parameter settings of TCSC under single line contingency , 2008, 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century.

[18]  Zbigniew Lubosny.  DUAL INPUT QUASI-OPTIMAL PSS FOR GENERATING UNIT WITH STATIC EXCITATION SYSTEM , 2006 .

[19]  M. A. Abido,et al.  Pole placement technique for PSS and TCSC-based stabilizer design using simulated annealing , 2000 .

[20]  Akhtar Kalam,et al.  Optimization of fuzzy controllers as real-time power system stabilizers , 1994 .

[21]  Vincent Del Toro,et al.  Electric Power Systems , 1991 .

[22]  Xiongxiong He,et al.  Modeling identification of power plant thermal process based on PSO algorithm , 2005, Proceedings of the 2005, American Control Conference, 2005..

[23]  A. D. Falehi,et al.  Transient Stability Analysis of Power System by Coordinated PSS-AVR Design Based on PSO Technique , 2011 .