Improvement of Electrical Power System Dynamic Stability Using Fuzzy Logic

Paulus Setiawan


This research has an aim to know the effectiveness of fuzzy logic which takes over the controlling of Proportional Integral Derivative (PID) in repairing the dynamic stability of electrical power system. This research begins with making the mathematic model of electrical power system into a circumstances variable equation and the plant system diagram block model. The structure of fuzzy logic controller system is designed by using 2-input which has three, five, and seven membership functions. The formed system work test is conducted by giving a disruption of increase and decrease electric power, to perceive the result of dynamic order on system variable to rotor speed deviation, angle rotor, voltage terminal, and power electric. Fuzzy logic can increase PIDPSS performance in repairing the electrical power system dynamic stability. The overshoot value decrease to 73.881% - 89.069% and settling time is 57.81% - 67.01% to the rotor speed deviation.


PID, PIDPSS, fuzzy logic

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Lim, C. M., & Elangovan, S. (1985). A new stabiliser design technique for multimachine power systems. IEEE transactions on power apparatus and systems, (9), 2393-2400.

Yu, Y. N. (1983). Electric power system dynamics. ACADEMIC PRESS, INC., 111 FIFTH AVE., NEW YORK, NY 10003, USA, 1983, 256.

Wolovich, W., A., (1994), Automatic Control System Basic Analysis and Design, Saunders College Publishing, Florida.

Kuo, B., C., (1995), Automatic Control Systems, Prentice-Hall Inc, New Jersey.

Emami, M. R., Turksen, I. B., & Goldenberg, A. A. (1998). Development of a systematic methodology of fuzzy logic modeling. IEEE Transactions on Fuzzy Systems, 6(3), 346-361.

Hiyama, T., Kugimiya, M., & Satoh, H. (1994). Advanced PID type fuzzy logic power system stabilizer. IEEE Transactions on Energy Conversion, 9(3), 514-520.

Hiyama, T. (1994). Robustness of fuzzy logic power system stabilizers applied to multimachine power system. IEEE Transactions on Energy conversion, 9(3), 451-459.

Hoang, P., & Tomsovic, K., (1996), Design and Analysis of an Adaptive Fuzzy Power System Stabilizer, IEEE Transactions on Energy Conversion, 11 (2), 445-461.

Hsu, Y. Y., & Liou, K. L. (1987). Design of self-tuning PID power system stabilizers for synchronous generators. IEEE Transactions on Energy conversion, (3), 343-348.

Hu, B., Mann, G. K., & Gosine, R. G. (1999). New methodology for analytical and optimal design of fuzzy PID controllers. IEEE Transactions on Fuzzy Systems, 7(5), 521-539.

Hu, B., G., Mann, G., K., I., & Gosine, R., G., (2001), A Systematic Study of Fuzzy PID Controllers Fuction Based Evaluation Approach, IEEE Transactions on Fuzzy Systems, 9 (5), 669-712.

Jamshidi, M., Vadiee, N., & Ross, T. (1993). Fuzzy logic and control: software and hardware applications (Vol. 2). Pearson Education.

Kim, D., & Rhee, S. (2001). Design of an optimal fuzzy logic controller using response surface methodology. IEEE Transactions on Fuzzy Systems, 9(3), 404-412.

Li, W. (1998). Design of a hybrid fuzzy logic proportional plus conventional integral-derivative controller. IEEE Transactions on Fuzzy Systems, 6(4), 449-463.

Li, H. X. (1997). A comparative design and tuning for conventional fuzzy control. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 27(5), 884-889.

Malki, H. A., Li, H., & Chen, G. (1994). New design and stability analysis of fuzzy proportional-derivative control systems. IEEE Transactions on Fuzzy Systems, 2(4), 245-254.

Ogata, K., & Yang, Y. (2002). Modern control engineering (Vol. 4). India: Prentice hall.

Padiyar, K., R., (1984), Power System Dynamics Stability and Control, John Wiley & Sons (Asia) Pte Ltd, Singapore.

Robandi, I., (2002), The Fuzzy Rules and Weighting Matrices Automatic Tunning Strategy on Optimal Fuzzy Logic Power System Stabilizer By Using Genetic Algorithm, Proceeding Seminar Sistem Tenaga Listrik III, Institut Teknologi Sepuluh Nopember, Surabaya, hal. II-31 – II-41.

Toliyat, H. A., Sadeh, J., & Ghazi, R. (1996). Design of augmented fuzzy logic power system stabilizers to enhance power systems stability. IEEE Transactions on Energy Conversion, 11(1), 97-103.

Wakimin, (2001), Studi Power System Stabilizer dengan PID berbasis Logika Fuzzy, Skripsi Sarjana, Jurusan Teknik Elektro Fakultas Teknik Universitas Gadjah Mada, Yogyakarta.

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