Water Cycle Algorithm Based Power System Stabilizer Robust Design for Power Systems

Navid Ghaffarzadeh

doi:10.1515/jee-2015-0014

Abstract

Power System Stabilizers (PSSs) are used to enhance damping of power system oscillations. This paper presents a new fast algorithm to develop PSS. According to this regard, Water Cycle Algorithm (WCA) is used to detect optimum Power System Stabilizer parameters. For this purpose, the design problem of PSS is formulated as an optimization problem and WCA by forming three subsidiary objective functions is employed to search for optimal power system stabilizer’s parameters to minimize the maximum overshoot and settling time together. In order to show the efficiency of the proposed algorithm, a comparison between WCA and without PSS condition has been done, and the results of proposed algorithm show that it detects optimum parameters in reasonable computation time to increase the power system stability.

References

[1] LARSEN, E.-SWANN, D. : IEEE Trans. Power App. 100 (1981), 3017-3046.
Search in Google Scholar
[2] SIDHARTHA PANDA-PADHY, N. P. : Robust Power Sys- tem Stabilizer Design using Particle Swarm Optimization Tech- nique, International Journal of Electrical Systems Science and Engineering 1 No. 1.
Search in Google Scholar
[3] USMAN, J.-MUSTAFA, M. W.-ALIYA, G. : Design of AVR and PSS for Power System Stability based on Iteration Particle Swarm Optimization, International Journal of Engineering and Innovative Technology (IJEIT) 2 No. 6 (Dec 2012).
Search in Google Scholar
[4] ABIDO, M. A. : Optimal Design of Power System Stabilizers Using Particle Swarm Optimization, IEEE Transactions on En- ergy Conversion 17 No. 3 (2002).10.1109/TEC.2002.801992
Search in Google Scholar
[5] SOLIMAN, H. M.-BAYOUMI, E. H. E.-HASSAN, M. F. : PSO-Based Power System StabIlizer for Minimal Overshoot and Control ConstraintsJOUR Journal of Electrical Engineering.
Search in Google Scholar
[6] LEE, S. : Optimal Decentralised Design for Output-Feedback Power System Stabilizers, IEE Proc. Generation Transmission and Distribution 152 No. 4 (2005), 494-502.
Search in Google Scholar
[7] FRAILE-ARDANUY, J.-ZUFIRIA, P. J. : Design and Com- parison of Adaptive Power System Stabilizers based on Neural Fuzzy Networks and Genetic Algorithms, J. Neurocomputing 70 (2007), 2902-2912.10.1016/j.neucom.2006.06.014
Search in Google Scholar
[8] SEGAL, R.-SHARMA, A.-KOTHARI, M. L. : A Self Tuning Power System Stabilizer based on Artificial Neural Network, Electric. Power Energy Systems 26 (2004), 423-430.10.1016/j.ijepes.2003.11.010
Search in Google Scholar
[9] SAOUDI, K.-HARMAS, M. N. : Enhanced Design of an Indi- rect Adaptive Fuzzy Sliding Mode Power System Stabilizer for Multi-Machine Power Systems, International journal of Electri- cal Power and Energy Systems 54 (2014), 425-431.10.1016/j.ijepes.2013.07.034
Search in Google Scholar
[10] ALKHATIB, H.-DUVEAU, J. : Dynamic Genetic Algorithms for Robust Design of Multimachine Power System Stabilizers, International journal of Electrical Power and Energy Systems 45 (2013), 242-251.10.1016/j.ijepes.2012.08.080
Search in Google Scholar
[11] ABDEL-MAGID, Y. L.-ABIDO,M. A. : Optimal Multi Objec- tive Design of Robust Power System Stabilizers using Genetic Algorithms, IEEE Trans. on Power Systems 18 No. 3 (2003), 1125-1132.10.1109/TPWRS.2003.814848
Search in Google Scholar
[12] ABIDO, M. A. : Robust Design of Multimachine Power Sys- tem Stabilizers using Simulated Annealingjour IEEE Trans. on Energy Conversion.
Search in Google Scholar
[13] REKHA, S. S. : Multi Machine Power System Stabilizer De- sign Using Particle Swarm Optimization Technique, Interna- tional Journal of Engineering Inventions 2 No. 6 (Apr 2013), 102-106.
Search in Google Scholar
[14] DUBEY, M.-DUBEY, A.-SHRIVASTAVA, A. : PSO Based Power System Stabilizer To Improve Power System Stability, 2nd International Conference on Mechanical, Electronics and Mechatronics Engineering; 17-18 2013 June London.
Search in Google Scholar
[15] SEDIGHIZADEH, M.-MINOOIE, B.-SARVI, M. : Power System Stability Enhancement using a NSPSO Designed UPFC Damping Controller, International Journal on Technical and Physical Problems of Engineering (IJTPE) 14 No. 5 (2013), 1-8.
Search in Google Scholar
[16] SHAYEGHI, H.-SHAYANFAR, H. A.-GHASEMI, A. : Ar- tificial Bee Colony Based Power System Stabilizer Design for a Turbo-Generator in a Single-Machine Power System.
Search in Google Scholar
[17] ESKANDARI, H.-SADOLLAH, A.-BAHREININEJAD, A. -HAMDI, M. : Water Cycle Algorithm-A Novel Metaheuristic Optimization Method for Solving Constrained Engineering Op- timization Problems, J. Computer and Structures 110 (2012), 151-166.10.1016/j.compstruc.2012.07.010
Search in Google Scholar
[18] SHAYEGHI, H.-JALILI, A.-SHAYANFAR, H. A. : Multi- Stage Fuzzy Load Frequency Control using PSO, Energy Con- version and Management 49 (2008), 2570-2580.10.1016/j.enconman.2008.05.015
Search in Google Scholar

Water Cycle Algorithm Based Power System Stabilizer Robust Design for Power Systems

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