Power System Stability Improvement by Simultaneous Tuning of PSS and SVC Based Damping Controllers Employing Differential Evolution Algorithm
Authors: Sangram Keshori Mohapatra, Sidhartha Panda, Prasant Kumar Satpathy
Abstract:
Power-system stability improvement by simultaneous tuning of power system stabilizer (PSS) and a Static Var Compensator (SVC) based damping controller is thoroughly investigated in this paper. Both local and remote signals with associated time delays are considered in the present study. The design problem of the proposed controller is formulated as an optimization problem, and differential evolution (DE) algorithm is employed to search for the optimal controller parameters. The performances of the proposed controllers are evaluated under different disturbances for both single-machine infinite bus power system and multi-machine power system. The performance of the proposed controllers with variations in the signal transmission delays has also been investigated. The proposed stabilizers are tested on a weakly connected power system subjected to different disturbances. Nonlinear simulation results are presented to show the effectiveness and robustness of the proposed control schemes over a wide range of loading conditions and disturbances. Further, the proposed design approach is found to be robust and improves stability effectively even under small disturbance conditions.
Keywords: Differential Evolution Algorithm, Power System Stability, Power System Stabilizer, Static Var Compensator
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1088780
Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2339References:
[1] P. Kundur, Power System Stability and Control. New York: McGraw- Hill, 1994.
[2] S. Panda, N. P. Padhy, "Robust power system stabilizer design using particle swarm optimization technique,” Int. J. Elect. Systs. Sc. & Engg. vol.1, pp.1–8, 2008.
[3] S. Panda, C. Ardil, "Robust coordinated design of multiple power system stabilizers using particle swarm optimization technique,” Int. J. Elect. Systs. Sc. & Engg., vol1, pp. 41–48, 2008.
[4] S. Panda, C. Ardil, "Real-coded genetic algorithm for robust power system stabilizer design”, Int. J. Elect. Comp. & Syst. Engg. vol.2, 2008, pp.6–14.
[5] N. G. Hingorani, L. Gyugyi, Understanding FACTS: Concepts and Technology of Flexible AC Transmission Systems, IEEE Press, New York, 2000.
[6] Y. H Song, T. A. Johns, Flexible AC Transmission Systems, IEE, London, 2000.
[7] R. M Mathur, R. K. Verma, "Thyristor-based FACTS Controllers for Electrical Transmission Systems,” IEEE Press, Piscataway, 2002.
[8] L. Gyugyi, "Reactive power generation and control by thyristor circuits,” IEEE Trans. Industrial Applications, vol-I, pp.521–532,1979.
[9] L. Gyugyi, "Power electronics in electric utilities: static var compensators,” IEE Proceedings, vol.76, pp.483–494, 1988.
[10] T. Hiyama, W. Hubbi, T. H. Ortmeyer, "Fuzzy logic control scheme with variable gain for static Var compensator to enhance power system stability,” IEEE Trans. Power Systs, vol.14, pp.186–191, 1999.
[11] X. Y. Bian, C. Y. Chunga, K.W. Wang, C.T. Tse, "Choice of SVC location/signal and its controller design by probabilistic method,” Elect. Power Systs. Res. vol.71, pp. 35–40, 2004.
[12] Y. Chang, Z. Xu, "A novel SVC supplementary controller based on wide area signals,” Elect. Power Systs. Res. vol.77, pp.1569–1574, 2008.
[13] SimPowerSystems4.3User’sGuide.Availablefrom:/http://www.mathworks.com
[14] R. Stron, K. Price, "Differential evolution—a simple and efficient adaptive scheme for Global Optimization over continuous spaces,” J. Global Optim. vol.11, pp.341–359, 1995.
[15] S. Panda, "Multi-objective evolutionary algorithm for SSSC-based controller design,” Elect. Power Syst. Res. vol.79, pp. 937–944, 2009.
[16] S. Panda, "Differential evolutionary algorithm for TCSC-based controller design,”Simulation Modelling Pract. Theory vol.17, pp.1618–1634.
[17] S. Panda, "Robust coordinated design of multiple and multi-type damping controller using differential evolution algorithm,” Int. J. Elect. Power & Energy Systs., vol.33, pp.1018–1030, 2011.
[18] S. Panda, "Differential evolution algorithm for SSSC-based damping controller design considering time delay,” J. Franklin Institute, vol.348, no.8 , pp.1903–1926, 2011.
[19] M. Noroozian, et al., "Robust near-optimal control of power system oscillation with fuzzy logic,” IEEE Trans.Power Deliv.,vol.11, pp.393–400, 1996.
[20] S. Mishra, et al., "Genetically optimized neuro-fuzzy IPFC for damping modal oscillations of power system,” IEEE Trans. Power Syst., vol.17, pp. 1140–1147, 2002.