Solar Mppt

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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 sources which are paid close attention by humans. Taiwan is located in the subtropical region, and possesses excellent sunshine conditions. It is very suitable for Taiwan to develop photovoltaic power generation. 27

However, in addition to the excellent geographical conditions, it is very important to have an effective and appropriate maximum power point tracking (MPPT) algorithm for the photovoltaic system. If there is a good irradiance condition, the photovoltaic system can generate maximum power efficiently while an effective MPPT algorithm is used with the system. A lot of MPPT algorithms have been developed by researchers and industry delegates all over the world. They are voltage feedback method, perturbation and observation method, linear approximation method, incremental conductance method, hill climbing method, actual measurement method, fuzzy control method and so on [1]-[5]. In the literature proposed by C.


Hua, J. Lin and C. Shen [2], they used DSP chips to implement the function of MPPT in order that the output of solar modules can approach its maximum power by continuous perturbing and observing. In the research [3] proposed by Fangrui Liu, Yong Kang, Yu Zhang and Shanxu Duan, the response speed and applicability of the perturbation and observation and hill climbing methods are compared for the grid connected system. Moreover, C. C. Hua, J. R. Lin [4] and W. Xiao [5] improve the efficiency of the perturbation and observation and hill climbing methods in their researches. The requirements of implementing maximum performance of a photovoltaic system are not only good weather conditions, but also with the appropriate MPPT method [6]-[8]. The purpose of this paper is to study and compare advantages, shortcomings and execution efficiency for three power-feedback type MPPT methods, including perturbation & observation (P&O), incremental conductance (INC) and hill climbing (HC) methods. Matlab/Simulink is used in this paper to...
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