DVR Control by Optimized Fuzzy System with Genetic Algorithm
Abstract
DVR is one of the important Custom Power Device to compensate sag or swell of voltage in the distribution network that precision of voltage compensation depends on the ability of the PWM design, the appropriate controller and the selection of the filter parameters. Traditional controllers such as PI, PID and smart controllers such as fuzzy controller can be used to control the DVR. Fuzzy controllers are nonlinear controllers with specific structure. The fuzzy controller acts like an expert human when controlling. The disadvantage of these controllers is their inability to learn that genetic algorithms, neural networks and etc are used to solve this problem. In this paper, a genetic algorithm is used to optimize the fuzzy membership functions of the fuzzy controller.
References
[2] J.SH.R Jang, C.Tsai Sun, E.Mizutani, “Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence”, Prentice Hall K. Elissa, “Title of paper if known,” unpublished.
[3] C.C.Lee,”Fuzzy Logic in control Systems: Fuzzy Logic Controller-Part 1”, IEEE, Trans.Syst.Man Cybern. Vol. 20, pp.404-435/ Mar/Apr.1990.
[4] Y. Yorozu, M. Hirano, K. Oka, and Y. Tagawa, “Electron spectroscopy studies on magneto-optical media and plastic substrate interface,” IEEE Transl. J. Magn. Japan, vol. 2, pp. 740-741, August 1987 [Digests 9th Annual Conf. Magnetics Japan, pp. 301, 1982].
[5] D.Goldberg, “Genetic Algorithms in Search, Optimization and Machine Learning”, Addison-Wesley,1989.
[6] L.Magdalena, “Ten Years of Genetic Fuzzy Systems: Current Frame work and New Trends”, Dept.Computer Science and A.I, University of Granada.
[7] A.Bonarini, “Evolutionary Learning of Fuzzy Rules: Competition and Cooperation” In W.Pedrycz, Editor, Fuzzy Modelling: Paradigms and Practice, pp.265-284. Kluwer Academic Press, Norwell,MA,1996
[8] D.T.Pham, D.Karaboga,”Optimum Design of Fuzzy Logic Controllers Using Genetic Algorithm”, Journal of Systems Engineering, Vol. 1, pp. 114-118, 1991
[9] A.Gonzalez, R.Perez, “A Genetic Learning System Based on an Iterative Approach”, IEEE Transaction on Fuzzy Systems, 1999.
[10] Reviewing the improvement of power quality in distribution systems using Custom Power devices, Nemat Moshtaghian, The 9th Iranian Student Engineering Conference.
[11] H.P.Tiwari,Sunil kumar Gupta,”Dynamic Voltage Restorer Based on Load Condition” , International Journal of Innovation, Management and Technology, Vol.1, April 2010, ISSN: 2010-0248
[12] Hamid Karimi, Mesam Ayoubi,Alireza Mozafari, Ali Amiri, Hamidreza Moeini, “Dynamic Voltage Restorer Based On Load Condition”, First National Conference of New Ideas Electrical Engineering, Islamic Azad University of Khorasgan, Isfahan, December 2012
[13] Samira DIB, Brahim FERDI, Chell ali BENACHAIBA, “Adaptive Neuro-Fuzzy Inference Based DVR Controller Design”, Leonardo Electronic journal of Practices and Technologies, ISSN 1583-1078, Issue 18, January-June 2011 pp.49-64, 2011.
