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Power System Damping Using Hierarchical Fuzzy Multi- Input Power System Stabilizer and Static VAR Compensator

Authors: Mohammad Hasan Raouf, Ebrahim Rasooli Anarmarzi, Hamid Lesani, Javad Olamaei

Abstract:

This paper proposes the application of a hierarchical fuzzy system (HFS) based on multi-input power system stabilizer (MPSS) and also Static Var Compensator (SVC) in multi-machine environment.The number of rules grows exponentially with the number of variables in a conventional fuzzy logic system. The proposed HFS method is developed to solve this problem. To reduce the number of rules the HFS consists of a number of low-dimensional fuzzy systems in a hierarchical structure. In fact, by using HFS the total number of involved rules increases only linearly with the number of input variables. In the MPSS, to have better efficiency an auxiliary signal of reactive power deviation (ΔQ) is added with ΔP+ Δω input type Power system stabilizer (PSS). Phasor model of SVC is described and used in this paper. The performances of MPSS, Conventional power system stabilizer (CPSS), hierarchical Fuzzy Multi-input Power System Stabilizer (HFMPSS) and the proposed method in damping inter-area mode of oscillation are examined in response to disturbances. By using digital simulations the comparative study is illustrated. It can be seen that the proposed PSS is performing satisfactorily within the whole range of disturbances.

Keywords: Power system stabilizer (PSS), hierarchical fuzzysystem (HFS), Static VAR compensator (SVC)

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1333368

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References:


[1] P. M. Anderson, A. A. Fouad, "Power system control and stability", Iowa State University Press, Ames, Iowa, 1977.
[2] P. Tulpule and A. Feliachi, "Online learning neural network based PSS with adaptive training parameters", IEEE, 2007.
[3] M. Gonzalez, O. P. Malik, "Power system stabilizer design using an online adaptive neurofuzzy controller with adaptive input link weights", IEEE Trans. Energy Convers. Vol. 23, No. 3, pp. 914-922, Sep. 2008.
[4] K. Sebaa and M. Boudour, "Optimal locations and tuning of robust power system stabilizer using genetic algorithms", Elsevier on Electrical Power Systems Research, 2008.
[5] S. Panda and N. P. Padhy, "Comparison of particle swarm optimization and genetic algorithm for FACTS-based controller design", Elsevier on Soft Computing, 2008.
[6] Y. Kitauchi, H. Taniguchi, T. Shirasaki, Y. Ichikawa, M. Amano , M. Banjo, "Experimental verification of multi-input PSS with reactive power input for damping low frequency power swing", IEEE Trans. Energy Convers. Vol. 14, No. 4, pp. 1124-1130, Dec 1999.
[7] M. Ozaki, M. Mizutani, "A design method of multi-input PSS using high speed genetic algorithm ", IEEE. Power System Technology, Vol. 3, pp. 1287-1291, 2000.
[8] H. Kikuchi, A. Otake, S. Nakanishi, "Functional completeness of hierarchical fuzzy modeling", Information Science, Vol. 110, No. 1-2, pp. 51-60, Sept. 1998.
[9] M. Lee, H. Chung, F. Yu, "Modeling of hierarchical fuzzy systems", Elsevier, Fuzzy Sets and Systems, Vol. 138, pp. 343-361, 2003.
[10] R. Hammell, T. Sudkamp, "Adaptivity in a hierarchical fuzzy model", IEEE. Annual Conference of the North American Fuzzy Information Processing Society, pp. 151-156, 1995.
[11]. C. France, L. Richard, "Designing a hierarchical fuzzy logic controller using the differential evolution approach", Elsevier, Applied Soft Computing, Vol. 7, pp. 481-491, 2007.
[12]. Mustafa, N. Magaji, "Design of Power Oscillation Damping Controller for SVC Device", Proc. of the 2nd IEEE International Conference on Power and Energy (PECon 08), Dec. 2008.
[13]. E. Rasooli A, M. FEYZI, M. Tarafdar HAGH, "Hierarchical fuzzy controller applied to multi-input power system stabilizer", Turk J Elec Eng & Comp Sci, Vol.18, No.4, pp. 541-551 2010.
[14]. P. Kundur, "Power system stability and control", McGraw-Hill, New York, 1994.
[15]. D. E. Kvasov, D. Menniti, A. Pinnarell, Y.D. Sergeyev, N. Sorrentino, "Tuning fuzzy power-system stabilizers in multi-machine systems by global optimization algorithms based on efficient domain partitions", Elsevier on Electrical Power Systems Research, pp. 1217-1229, January 2008.
[16]. G. Hyun Hwang, Dong-Wan Kim, Jae-Hyun Lee, Young-Joo An, "Design of fuzzy power system stabilizer using adaptive evolutionary algorithm", Elsevier on Engineering Applications of Artificial Intelligence, pp. 86-96, 2008.
[17]. C. W. Tao, J. S. Taur, C. M. Wang, U. S. Chen, "Fuzzy hierarchical swing-up and sliding position controller for the inverted pendulum-cart system", Elsevier on Fuzzy Sets and Systems, pp. 1-22, February 2008.
[18]. H. A. Toliyat, J. Sadeh, R. Ghazi, "Design of augmented fuzzy logic power system stabilizers to enhance power systems stability", IEEE Trans. Energy Convers. Vol. 11, pp. 97-103, March 1996.
[19]. L. Wang, "Analysis and design of hierarchical fuzzy systems", IEEE Trans. Fuzzy System, Vol. 7, pp. 617-624, Oct. 1999.
[20]. H. Li, S. Tso, "Higher order fuzzy control structure for higher order or time-delay systems", IEEE Trans. Fuzzy System, Vol. 7, pp. 540-552, Oct. 1999.
[21]. Narain G. Hingorani, Laszlo Gyugyi, and Understanding FACTS, Concepts and Technology of Flexible AC Transmission Systems New York: IEEE Press.
[22]. Recommended practice for excitation system models for power system stability studies, IEEE standard 421.5-1992, August 1992.