A Self-Tuning Fuzzy PI Controller for PV-Wind-Diesel-Battery

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A Self-Tuning Fuzzy PI Controller for PV-Wind-Diesel-Battery Powered By Docstoc
					         A SELF-TUNING FUZZY PI CONTROLLER FOR
     PV-WIND-DIESEL-BATTERY HYBRID ENERGY SYSTEMS.

                                         Eng. Emad Sweelem*
                                      Electronics Research Institute
                                             NRC Buildings
                                              El-Tahrir St.
                                               Dokki, Giza
                                                  Egypt
                                        Tel./Fax: 002023351631
                                       emadsweelem@yahoo.com

                                         Dr. Abd-El shafy Nafeh
                                      Electronics Research Institute
                                             NRC Buildings
                                              El-Tahrir St.
                                               Dokki, Giza
                                                  Egypt
                                        Tel./Fax: 002023351631
                                        abdelshafyn@yahoo.com

                                         Prof. Dr. Faten Hosney
                                      Electronics Research Institute
                                              NRC Buildings
                                               El-Tahrir St.
                                               Dokki, Giza
                                                  Egypt
                                        Tel./Fax: 002023351631
                                             faten@eri.sci.eg

Abstract:

An autonomous PV-Wind-Diesel-Battery (PVWDB) hybrid energy systems have many applications
especially for sites which are far from conventional supply grid. But, the components of these systems
are, usually, non-linear having a parameter variation problem. Therefore, this paper presents a robust self-
tuning PI-type fuzzy logic controller (FLC). Depending on the process trend, the output scaling factor
(SF) of the controller is modified on-line by an updating factor (r). The value of r is determined from a
rule-base defined on error (E) and change of error (ΔE) of the controller variable. The proposed self-
tuning controller is designed using a very simple control rule-base and the most natural and unbiased
membership functions (MF). The proposed scheme is tested for a different numbers of membership
functions with using Matlab-Simulink. Also, the compartive between FLC and the self-tuning fuzzy PI
controller is cleared. The results show that our scheme gives results better than normal FLC with few
trials of SF’s.