Review on Comparison of Various Maximum Power Point Tracking Algorithms

Abstract

Tracking the maximum power operating point (MPPT) is emphasized most heavily during the designing of an efficient PV system. When considering the field of power optimization in case of photovoltaic cells, a lot many number of maximum power points tracking techniques may exist. Some of these techniques include: the perturb and observe (P&O) one, the algorithms based on fuzzy logic and the ones using a neural network approaches. P&O is one of the most widely used MPPT control techniques due to its simple implementation. However, the lack of accuracy of this technique due to oscillations/perturbations around the maximum power poses as a major drawback. Hence, in this paper we propose an original optimization of the P&O MPPT control technique leading to a significant reduction of the oscillations around the MPP. Keywords: MPPT, P&O, Optimization, PV panel, perturbation I.INTRODUCTION In the present world where new developments and inventions of technologies is taking place, there has been a significant increase the use of renewable energies due to fast depletion of exhaustible sources of energy like fossil fuels, coal, timber etc. Among the renewable sources, the solar one is becoming increasingly adopted due to the decrease of the fossil energies, and to their adverse environmental impact. In effect renewable energies are known as "clean" and favourable to the environment. However extraction of power through solar sources is an expensive method due to number of advanced hardware and technology used. So it is necessary to extract the maximum power for greater efficiency. One of the existing solutions to improve the solar energy use consists of exploiting the photovoltaic panels at an optimal rate. Power generated by solar cells can face losses. These losses can be due to various environmental conditions like decreased irradiance levels, adverse weather conditions from cloudy or rainy days, temperature changes etc. At times the MPPT method which is adopted for power regulation can cause energy losses in the solar cells [1]. Fine tuning is required for all solar designs so as to produce maximum output power throughout a period of time. In the recent times most solar panel designs use maximum power point tracking for maximum power generation regardless of the weather condition limitations and their effects on solar modules. A lot many different algorithm methods that are available can be applied for MPPT. These methods of MPPT implementation can be distinguished based on factors such as complexity of implementation, , number of sensors required, cost etc. [1]. The most familiar method is perturb and observe (P&O) [3][4][5]. Maximum power point tracking (MPPT) is a technique used with wind turbines and photovoltaic (PV) solar systems to maximize power output. With the help of analysis on the I-V curve of the solar cell output it is found that solar cells have a complex relationship between temperature and total resistance that produces a non-linear output efficiency. Hence, the role of an MPPT system is to sam...