Comparative Study of P&O and Fuzzy MPPT Controllers and Their Optimization Using PSO and GA to Improve Wind Energy System

Many academics have recently focused on wind energy installations. WECS (wind energy conversion system) is a renewable energy source that has seen significant development in recent years. Furthermore, compared to the use of power grid supply, the use of the WECS in the water pumping field is a cost-free option (economically). The purpose of this study is to demonstrate a wind-powered pumping mechanism. To obtain the best option, it considers and contrasts four distinct approaches. This research aims to improve the system\u27s performance and the quality of the generated power. The objective of the control of WECS with a permanent magnet synchronous generator (PMSG) is to carefully maximize power generation. Finally, this research employed the fuzzy logic control (FLC) and particle swarm optimization (PSO) algorithms improved using a genetic algorithm (GA). The proposed system\u27s performance was tested using the generated output voltage, current, and power waveforms, as well as the intermediate circuit voltage waveform and generator speed. The provided data show that the control technique used in this study was effective

An efficient, intelligent PSO-P&O-PI MPPT mechanism for Photovoltaic Systems under variable climatic conditions

In recent years, there has been a global challenge in developing MPPT algorithms that provide maximum power efficiency. This paper deals with a novel P&O-PI MPPT mechanism where the soft computing technique called particle swarm optimization (PSO) is used to tune the PI parameters. The proposed approach was designed to improve the tracking response time of MPP with high efficiency. This MPPT is applied to two types of PV systems: tracking systems and fixed systems. The energy gain of a dual-axis tracker was compared to that of a fixed system. Simulation results were carried out in Matlab and Simulink environments to demonstrate the effectiveness of the suggested control strategy in terms of productivity, efficiency, and oscillations under different fast environmental conditions. We can see that the recommended technique shows excellent performance in terms of power overshoot, low oscillation, and response time. The PSO-P&O-PI-algorithm offers a considerable improvement in tracking efficiency of 99.90% and a time response of 0.023 s. We have demonstrated the significance of involving the sun-tracker PV system regarding produced power (acquired power) with around 25% energy gain, particularly during the less sunny hours

Measurement and Simulation of 2.25 kWp grid-connected amorphous photovoltaic station in a hot desert environment

This work investigates measurements and simulations of a 2.25 kWp grid-connected amorphous photovoltaic power plant mounted on a parked car in a hot desert environment. This power station is located at applied research unit field (URAER), in the Ghardaia region, southern region. The simulation is carried out using PVSYS software. This includes evaluation of meteorological and electrical parameters performance of studied PV system such as reference PV system, PV array yield (YA), Final yield (YF), PV array and system losses, array and system efficiency, performance ratio (PR). The array nominal energy estimated at STC is 5695 kWh/year. The energy estimated injected into the grid is 4648 kWh/year

Etude et Commande Adaptative par les Techniques Intelligentes Des Systèmes Non linéaires Application aux Systèmes Photovoltaïques

Ce travail porte sur l’optimisation de la chaîne de conversion d’une installation photovoltaïque (PV) raccordée au réseau de distribution d’électricité testée dans les conditions du milieu saharien (région de Ghardaïa). L’objectif est l’étude et l’évaluation de l’effet des conditions météorologiques sur la performance du système ainsi que l’extraction des puissances maximales fournies par le générateur photovoltaïque, afin d'obtenir un bon rendement en utilisant des lois de commande basées sur des techniques intelligentes telles que les réseaux de neurones, neuro-floue, le mode glissant floue et P&O-PI optimisé par la technique PSO, ainsi que l’injection de cette puissance dans un réseau de distribution via un système de conversion à deux étages .Ce travail concerne également l’optimisation des systèmes photovoltaïques connectés au réseau obtenues par un système de poursuite du soleil à deux axes. L’objectif est l’amélioration du gain en énergie électrique de la poursuite solaire à deux axes du panneau solaire par rapport au système fixe. Nous avons montré l'importance de leur utilisation en terme de puissance générée qui apporte un gain en énergie significatif de l’ordre de 30% par rapport à un plan fixe, notamment aux heures de la journée les moins ensoleillées