This paper investigates modern control approaches to improve the energy fineness of grid-
connected PV systems. From a two-stage command structure, the first controller regulates …

This paper presents a study on the enhancement of the Maximum Power Point Tracking
algorithm named: Perturb and Observe (P&O). The introduced techniques deal with the …

Maximum Power Point Tracking (MPPT) techniques play an extremely important role in
standalone photovoltaic (PV) systems or connected to distribution grids. PV, delivering …

This paper proposes an experimental validation of two Soft-Computing Techniques (SCT).
Particle Swarm Optimization (PSO) and Adaptive Neuro Fuzzy Inference System (ANFIS) are …

This paper presents a method of intelligent control of a photovoltaic generator (PVG)
connected to a load and a battery. The system consists of charging and discharging a …

This article presents a study based on successful experiences in Ecuador and originating a
systematic study of the use of renewable energy for the Province of Bolivar in Ecuador. The …

With the spread of electric motors in various fields of work, such that they have become the
infrastructure for many aspects of life, it has become necessary to obtain a speed controller …

In this paper, the main objective is to design an adaptive controller based on Artificial Neural
Networks (ANN) to control a Three Phase Inverter (TPI) connected to the grid through a …

Renewable energy-based battery charging systems for Electric Vehicles (EV) have seen
surge in automotive research in last few years. Solar PV-fed EVs are thoroughly examined in …

The microgrid model gained considerable interest in the electricity industry due to increased
financial and environmental benefits. The microgrid views decentralized generation (DG) …