Intelligent Control of Maximum Power Point Tracking (MPPT) of Grid-Connected Photovoltaic Installations

Abstract

The objective of the research was to determine within the intelligent control algorithms for monitoring the Maximum Power Point, which is the most efficient for photovoltaic installations connected to the network. The technical and descriptive methodology planned the design of the microgrid. In addition, the simulation was proposed using the MATLAB/Simulink software, an intelligent control algorithm, based on Fuzzy logic for monitoring the maximum power point. The electric microgrid model and its energy management in the case study, proposes an area made up of 25 houses that is located in a climatic zone that provides ideal conditions. For reasons of availability of a renewable energy resource, photovoltaic energy is considered as a source of energy supply. In the design of the fuzzy controller, the inputs and outputs of the system were analyzed, variables were established, the respective universe of discourse and membership functions were proposed, so that they were better adjusted to the maximum power algorithm. The variables were defined, where the characteristic curves P vs V and I vs V of the solar modules were taken as reference, being the inputs to control the error (E) and the error variation (CE), and the output of the fuzzy controller (D) is the converter control signal, the same one that suffered increases and decreases to regulate that the system works at its maximum power point.