Application of Prediction-Based Heuristic Rules for Microgrid Management

• Grant number: 24/03161-0
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: August 01, 2024
• End date: July 31, 2025
• Field of knowledge: Engineering - Electrical Engineering - Power Systems
• Principal Investigator: Marcos Julio Rider Flores
• Grantee: Ana Luíza Félix de Souza
• Host Institution: Faculdade de Engenharia Elétrica e de Computação (FEEC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
• Associated research grant: 21/11380-5 - CPTEn - São Paulo Center for the Study of Energy Transition, AP.CCD

Abstract

Technological advancement enables continuous improvement of power systems worldwide, particularly with the advent of Distributed Energy Resources (DERs). The integration of DERs, such as photovoltaic generation systems, wind power, and energy storage systems, into the distribution system is greatly emphasized in this scenario as it defers major investments. Microgrids, in this context, facilitate the intelligent integration of DERs, ensuring that with an energy management system, it's possible to coordinate different resources to achieve robust and reliable operation. In this sense, energy storage systems play a fundamental role, ensuring system operation during failures in the main electrical grid. Furthermore, in grid-connected operation, battery energy storage systems can operate to enhance microgrid operation and strengthen its resilience and robustness through coordinated operation between generation sources, demand management, and the storage system. Different approaches have been proposed to overcome these issues, but they increase the complexity of their control. This scientific research project aims to implement heuristic rules based on demand and photovoltaic generation forecasting in the steady-state operation of LabREI, enabling reliable, efficient, and robust microgrid operation, considering different load scenarios, photovoltaic generation, and operating modes, through the R&D project MERGE - Microgrids for Efficient, Reliable and Greener Energy, and considering integration into the ongoing thematic project FAPESP 2021/11380-5.