Performance Comparison of Intelligent Control of Maximum Power Point Tracking in Photovoltaic System
Wonohadidjojo, Daniel M.
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Abstract In this study, two models of power generation system are developed. They consist of the PV module, boost converter and the controller. The models utilize intelligent controllers, Perturb and Observe algorithm and Fuzzy Logic Controller. The objective of this study is to compare the performance of each controller in the system by using the same input which are the varying solar irradiance and the constant solar temperature. The simulations are undertaken to compare the PV power, the output power and the output voltage as the performance indicators. The results show that the FLC performs better in the developed system. It generates higher PV power, output power and output voltage than the P&O algorithm.