Modelado y simulación de una micro-red inteligente aplicando control fuzzy-genético para la óptima gestión energética en escenarios prosumers.

Abstract

The objective of this research work was to model and simulate a micro-smart grid applying a fuzzy-genetic controller for optimal energy management in environments including prosumer users. For theprocess, a residential load profile study was carried out, Obtaining data of irradiance and temperatura for the dimensioning of a micro-smart grid with photovoltaic technology operating in grid-on mode, interconnected to the network. According to the simulation, the Matlab/Simulink 2018b software was used to implement the elements that make up a micro-smart grid. The intelligent control implemented is a fuzzygenetic developed in a script, applying a fuzzy controller type Mamdani and a generic genetic algorithm to validate was compared with a base rule control for energy management and optimization. The control fuzzy-genetic with the AGs maximizes the power parameters, obtaining a dynamic behavior in a quarter hour. The fuzzy controller manages the state of battery charge, having a charge in hours [7:30 to 17:30], discharge from 17:30 covering a maximum demand from [18:00 to 22:00]h with a power range of [95 - 116]W and connection to the distribution network. However, the rule base control sets rules obtaining an oscillatory load state and a linear load profile with a behavior static. It is concluded that the fuzzy-genetic control implemented in the micro-network manages the consumption and generation, solving in the time of greater prosumer demand, obtaining a minimization of energy cost. However, the base rule control is an on-off, getting poor management in the area of greatest demand, obtaining an optimization of 5%. It is recommended in the research that variables of energy cost and time of greater demand are applied to visualize the energy management and transactions carried out by a user.