Power System Damping Using Hierarchical Fuzzy Multi- Input PSS and Communication Lines Active Power Deviations Input and SVC
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Power System Damping Using Hierarchical Fuzzy Multi- Input PSS and Communication Lines Active Power Deviations Input and SVC

Authors: Mohammad Hasan Raouf, Ahmad Rouhani, Mohammad Abedini, Ebrahim Rasooli Anarmarzi

Abstract:

In this paper the application of a hierarchical fuzzy system (HFS) based on MPSS and SVC in multi-machine environment is studied. Also the effect of communication lines active power variance signal between two ΔPTie-line regions, as one of the inputs of hierarchical fuzzy multi-input PSS and SVC (HFMPSS & SVC), on the increase of low frequency oscillation damping is examined. In the MPSS, to have better efficiency an auxiliary signal of reactive power deviation (ΔQ) is added with ΔP+ Δω input type PSS. The number of rules grows exponentially with the number of variables in a classic fuzzy system. To reduce the number of rules the HFS consists of a number of low-dimensional fuzzy systems in a hierarchical structure. Phasor model of SVC is described and used in this paper. The performances of MPSS and ΔPTie-line based HFMPSS and also the proposed method in damping inter-area mode of oscillation are examined in response to disturbances. The efficiency of the proposed model is examined by simulating a four-machine power system. Results show that the proposed method is performing satisfactorily within the whole range of disturbances and reduces the cost of system.

Keywords: Communication lines active power variance signal, Hierarchical fuzzy system (HFS), Multi-input power system stabilizer (MPSS), Static VAR compensator (SVC).

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1336967

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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] A. R. Roosta; H. Khorsand; M. Nayeripour; "Design and analysis of fuzzy power system stabilizer", IEEE PES, 2010.
[4] A. Al-Hinai, "Dynamic Stability Enhancement using Genetic Algorithm Power System Stabilizer”, International conference on Power system technology, IEEE 2010.
[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] Zhen. Yu, Arthur. Dexter, "Hierarchical fuzzy control of low-energy building systems", Elsevier, Solar Energy, Vol. 84, Issue 4, pp. 538-548, April 2010.
[9] T. Hussein, A. L. Elshafei, A. Bahgat, "Design of a hierarchical fuzzy logic PSS for a multi-machine power system", IEEE, Control & Automation, pp. 1-6, 2007.
[10] Li. Ling-Juan, Liang. Yu-Long, "A hierarchical fuzzy clustering algorithm", IEEE, International Conference on computer Application and System Modeling (ICCASM), Vol. 12, pp. 248-251, 2010.
[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] M. H. Raouf, E. Rasooli Anarmarzi, H. lesani, J. Olamaei, " Power System Damping Using Hierarchical Fuzzy Multi- Input Power System Stabilizer and Static VAR Compensator", International Journal of Electrical and Electronics Engineering, Vol. 14, No.4, pp. 117-123, 2011.
[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, 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.
[23] P. Mitra, S. Chowdhury, S. P. Chowdhury, S. K. Pal, R. N. Lahiri, Y. H. Song, "Performance of A Fuzzy Power System Stabilizer With Tie Line Active Power Deviation Feedback", IEEE PSCE, pp. 884-889, Oct. 2006.