Maximum power point tracking techniques for photovoltaic systems: a comparative study

Abstract

Photovoltaic systems (PV) are one of the most important renewable energy resources (RER). It has limited energy efficiency leading to increasing the number of PV units required for certain input power i.e. to higher initial cost. To overcome this problem, maximum power point tracking (MPPT) controllers are used. This work introduces a comparative study of seven MPPT classical, artificial intelligence (AI), and bio-inspired (BI) techniques: perturb and observe (P&O), modified perturb and observe (M-P&O), incremental conductance (INC), fuzzy logic controller (FLC), artificial neural network (ANN), adaptive neuro-fuzzy inference system (ANFIS), and cuckoo search (CS). Under the same climatic conditions, a comparison between these techniques in view of some criteria’s: efficiencies, tracking response, implementation cost, and others, will be performed. Simulation results, obtained using MATLAB/SIMULINK program, show that the MPPT techniques improve the lowest efficiency resulted without control. ANFIS is the highest efficiency, but it requires more sensors. CS and ANN produce the best performance, but CS provided significant advantages over others in view of low implementation cost, and fast computing time. P&O has the highest oscillation, but this drawback is eliminated using M-P&O. FLC has the longest computing time due to software complexity, but INC has the longest tracking time.

Design and modeling of solar water pumping system in Diyala region

“…In the development of modern technology and the urgent need for a control system, scientists had to develop light sensors to become more suitable. It is a specific type used to sense light and consumes less energy and gives a signal to the motor in order to change its direction as in Figure 10, Here we are using four sensors to track sun position [22].…”

MPPT Based Artificial Neural Network Versus Pertub & Observe For Photovoltaic Energy Conversion System

“…The DC-DC converter acts as an interface between the PV array and the load to boost voltage at PV terminal. The bloc Boost is depicted in fig1 and it consists mainly of inductor, transistor switch, diode and filter capacitor [4]. The voltage conversion ratio of the boost converter can be expressed as in (2) [9]:…”

“…To maintain supplying load under variables irradiation the current and voltage are adjusted to maximum power available for climatic conditions, MPPT techniques are used for extracting the maximum power from the PV arrays at different environmental conditions such as temperature and solar irradiance. Many MPPT algorithms have been used in the literature [1][2][3][4][5]. MPPT techniques are clustered into two major groups: the conventional and intelligent techniques.…”

“…These techniques show obvious shortcomings, such as low tracking efficiency during quickly changing solar irradiation and fluctuations about the point of maximum power. The intelligent techniques, including fuzzy logic controller (FLC) [3,4], artificial neural network (ANN) [5], particle swarm optimization (PSO) [1], genetic algorithm (GA) [6]. These algorithms present many advantages, such as low oscillations around the point of maximum power and a speedy tracking response to changing conditions.…”

Wireless Network Access and Emotion Recognition of Online English Translation Teaching System from the Perspective of Artificial Intelligence

“…As an important driving force of the current industrial revolution, artificial intelligence (AI) is constantly changing people's lifestyles. Human society will further develop into a new era of human-machine integration, cocreation and sharing, and intelligence [1,2]. AI is the core technology of the current scientific and technological revolution, and it is a general trend to apply it to the field of education and teaching.…”