Optimal Operation of Smart Microgrids within Local Energy Markets with Uncertainties in Distributed Renewable Resources and Demand

• Grant number: 23/16829-6
• Support Opportunities: Scholarships in Brazil - Doctorate
• Start date: March 01, 2024
• End date: January 31, 2028
• Field of knowledge: Engineering - Electrical Engineering - Power Systems
• Principal Investigator: John Fredy Franco Baquero
• Grantee: Milton Patricio Agudo Guiracocha
• Host Institution: Faculdade de Engenharia (FEIS). Universidade Estadual Paulista (UNESP). Campus de Ilha Solteira. Ilha Solteira , SP, Brazil
• Associated research grant: 22/03161-4 - Novel optimization-based paradigm for the expansion and operational planning of electrical distribution systems with local electricity markets, AP.PNGP.PI

Abstract

Microgrids are promising alternatives to meet local demand and integrate renewable resources such as wind and solar energy, which reduces dependence on the grid. However, its operation is a challenging problem due to the need to adequately coordinate generation units (conventional and renewable), control equipment, and electric vehicles, considering their uncertain characteristics. Mathematical models will be developed for the optimal coordination of smart microgrids considering gas and electricity networks and flexibility options (coordinated charging of electric vehicles and hydrogen generation systems). The problem should be investigated under the context of energy markets (day-ahead market and real-time operation). Optimization techniques such as Stochastic and Robust Programming will be used to deal with uncertainties in the parameters present in the microgrid operation, such as electrical demand, wind and photovoltaic generation, and energy price, to make solutions more realistic. The models developed will contribute to the efficient coordination of modern energy networks, integrating distributed energy resources, which will reduce costs for the user, mitigate the impact on the environment, and improve the quality of service.

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

AGUDO, MILTON PATRICIO; FRANCO, JOHN FREDY; TENESACA-CALDAS, MARCELO; ZAMBRANO-ASANZA, SERGIO; LEITE, JONATAS BOAS. Optimal placement of uPMUs to improve the reliability of distribution systems through genetic algorithm and variable neighborhood search. Electric Power Systems Research, v. 236, p. 11-pg., 2024-07-29. (23/16829-6)