Analysis of Electrical Energy Demand Due to the Insertion of Microgrids with Photovoltaic Generation Based on Optimal Demand Response

This project addresses the transition from centralized electrical systems to distributed models, focusing on the growing interest in Distributed Generation (DG), particularly through photovoltaic microgrids, as a solution to increasing demand and supply capacity issues. The core problem is evaluating the effect of photovoltaic self-generation, incentivized by Ecuadorian regulations (ARCONEL), on the net demand perceived by the distribution company. The methodology employed is descriptive, deductive, experimental, and inductive. Initially, a review of the state-of-the-art is conducted to identify models for evaluating impacts on the demand curve. Subsequently, historical consumption data collection and the modeling and simulation of microgrids using specialized software are performed. These simulations will explore scenarios such as variations in energy contributions and active management of the microgrids under different climatic conditions (summer/winter). Developed algorithms will be tested in MATLAB®. Finally, the results obtained will be contrasted with ARCONEL's regulatory projections to verify the actual impact on the Ecuadorian electrical system's demand curve, aiming to generalize conclusions for various scenarios.<br/><br/><b>Goal</b>: <br/>The main objective of this project is to analyze the impact on the electrical energy demand of the National Electric System (SEP) due to the insertion of microgrids with photovoltaic generation, based on the optimal implementation of Demand Response (DR) policies. The goal is to determine how self-generation and regulatory incentives affect the demand curve from the distributor's perspective.<br/><br/><b>Research lines</b>: <br/>Planning and management of electrical systems