Solar Mppt

A Study on Maximum Power Point Tracking Algorithms for Photovoltaic Systems

A Study on Maximum Power Point Tracking Algorithms for Photovoltaic Systems
Ting-Chung Yu Yu-Cheng Lin

Department of Electrical Engineering Lunghwa University of Science and Technology Abstract
The purpose of this paper is to study and compare three maximum power point tracking (MPPT) algorithms in a photovoltaic simulation system. The Matlab/Simulink is used in this paper to establish a model of photovoltaic system with MPPT function. This system is developed by combining the models of established solar module and DC-DC buck-boost converter with the algorithms of perturbation and observation (P&O), incremental conductance (INC) and hill climbing (HC), respectively. The system is simulated under different climate conditions and MPPT algorithms. According to the comparisons of the simulation results, it can be observed that the photovoltaic simulation system can track the maximum power accurately using the three MPPT algorithms discussed in this paper. P&Q MPPT algorithm possesses fast dynamic response and well regulated PV output voltage than hill climbing algorithm. Since the deterministic process of INC algorithm is more complicated than the other two algorithms, therefore, the simulation time spent by INC algorithm is also a little longer than the other two algorithms.

Keywords: Maximum power point tracking (MPPT), perturbation and observation, incremental conductance, hill climbing.

1. Introduction
According to numerous use of the fossil fuel, the reserves of petroleum substantially and rapidly reduced and will be depleted in a few decades. In Taiwan, ninety-five percentages of the needed energy resources is imported from abroad. Since the crisis of energy depletion won’t happen in a short period of time, however, researchers and scientists have done a lot of researches for the development of alternative energy sources. Solar energy is one of the alternative clean energy

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