Stochastic Microgrid Sizing Considering Electric Vehicle Charging Demand

Author(s)

Magalhaes, Marcelo Montandon ; Terada, Lucas Zenichi ; Cortez, Juan Carlos ; Soares, Joao ; Rider, Marcos J. ; Vale, Zita

• Document type: Journal article
• Source: 2024 INTERNATIONAL CONFERENCE ON SMART ENERGY SYSTEMS AND TECHNOLOGIES, SEST 2024; v. N/A, p. 6-pg., 2024-01-01.

Abstract

Microgrids represent a pivotal shift in energy technology, offering a suite of advantages over conventional power grids, such as improved reliability, cost efficiency, and environmental benefits due to their ability to integrate renewable sources and provide flexible energy solutions, underscoring the urgent need for grid modernization and strategic planning. This paper presents a stochastic economic model of linear programming (LP) for microgrid sizing, considering the charging scheduling profiles of electric vehicles (EVs) within a grid. The model is based on linear approximation techniques for the operation of EV and battery energy storage system (BESS). The model also incorporates the injection of energy from EV into energy distributions system (EDS) using vehicle-to-grid (V2G) technology, which considers compensation for the owners. (AU)

• FAPESP's process: 23/13121-2 - A python framework for optimal sizing and allocation of distributed energy resources
• Grantee: Marcelo Montandon Magalhães
• Support Opportunities: Scholarships abroad - Research Internship - Scientific Initiation
• FAPESP's process: 22/12677-4 - Optimal Sizing and Allocation of Distributed Energy Resources in Microgrids
• Grantee: Marcelo Montandon Magalhães
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• FAPESP's process: 21/11380-5 - CPTEn - São Paulo Center for the Study of Energy Transition
• Grantee: Luiz Carlos Pereira da Silva
• Support Opportunities: Research Grants - Science Centers for Development