Making full use of abundant renewable solar energy through the development of photovoltaic (PV) technology is an effective means to solve the problems such as difficulty in electricity supply and energy shortages in remote rural areas. In order to improve the electricity generating efficiency of PV cells, it is necessary to track the maximum power point of PV array, which is difficult to make u...

Due to nonlinear P-V characteristics of photovoltaic generator, a maximum power point tracking(MPPT) algorithm is needed to optimize the performance of photovoltaic (PV) system.In this paper, an adaptive fuzzy proportional integral derivative (AFPID) control based maximum power point tracking strategy for photovoltaic system is proposed. The proposed adaptive fuzzy PID method integrates two lev...

In this paper, using artificial neural network ANN for tracking of maximum power point is discussed. Error back propagation method is used in order to train neural network. Neural network has advantages of fast and precisely tracking of maximum power point. In this method neural network is used to specify the reference voltage of maximum power point under different atmospheric conditions. By pr...

A partial shading condition (PSC) is one of the most common problems in photovoltaic (PV) system. It causes output power a PV system drastically decrease. Meta-heuristic algorithms (MHA) can track maximum point power-voltage curve with multiple peaks. Grey wolf optimization (GWO) algorithm new based on MHA. has been used to solve many applications including MPPT for However, accuracy and tracki...

Introduction. Extracting maximum possible power from solar energy is a hot topic of the day as other sources have become costly and lead to pollution. Problem. Dependency on sunlight for generation makes it unfeasible extract power. Environmental conditions like shading, partial shading weak are major aspect due which output photovoltaic systems greatly affected. Partial most known issue. Goal....