An IoT-based energy management system for AC microgrids with grid and security constraints

Autor(es)

Silva, Jessica Alice A. ; Lopez, Juan Camilo ; Guzman, Cindy Paola ; Arias, Nataly Banol ; Rider, Marcos J. ; da Silva, Luiz C. P.

• Tipo de documento: Artigo Científico
• Fonte: APPLIED ENERGY; v. 337, p. 16-pg., 2023-03-01.

Resumo

This paper proposes an Internet-of-Things (IoT) based energy management system (EMS) for the optimal operation of unbalanced three-phase AC microgrids. The system utilizes a software architecture based on microservices, which includes a stochastic economic dispatch optimizer (EDO), a database, a web-based graphical user interface (GUI), and an application programming interface (API). The EDO uses a mixed-integer linear programming (MILP) model to ensure the day-ahead dispatch of the distributed energy resources (DERs) in the microgrid while adhering to grid constraints such as voltage, current, and power limits. Additionally, the optimization module takes into account security constraints for unplanned islanded operation, as well as stochastic scenarios of local demand and renewable generation. To assess the performance of the proposed IoT-based EMS, tests are conducted using a real-time simulator in a software-in-the-loop (SIL) experimental setup. Actual data from a microgrid located at the State University of Campinas (UNICAMP) in Brazil is utilized for the tests. The microgrid consisted of a photovoltaic (PV) system, a battery energy storage system (BESS), a thermal generation unit, and variable demands. Results indicated the effectiveness of the proposed IoT-based EMS in monitoring the operation of the microgrid and defining the optimal day-ahead dispatch of local DERs. (AU)

• Processo FAPESP: 21/11380-5 - CPTEn - Centro Paulista de Estudos da Transição Energética
• Beneficiário: Luiz Carlos Pereira da Silva
• Modalidade de apoio: Auxílio à Pesquisa - Centros de Ciência para o Desenvolvimento
• Processo FAPESP: 16/08645-9 - Pesquisas interdisciplinares em redes inteligentes de energia elétrica
• Beneficiário: João Bosco Ribeiro do Val
• Modalidade de apoio: Auxílio à Pesquisa - Temático
• Processo FAPESP: 21/11310-7 - Aplicação de técnicas heurísticas para o tratamento de variáveis binárias no problema de restauração ótima
• Beneficiário: Juan Camilo Lopez Amezquita
• Modalidade de apoio: Bolsas no Exterior - Estágio de Pesquisa - Pós-Doutorado
• Processo FAPESP: 19/17306-1 - Desenvolvimento e implementação de técnicas de controle centralizadas e distribuídas para o gerenciamento ótimo de microrredes
• Beneficiário: Jéssica Alice Alves da Silva
• Modalidade de apoio: Bolsas no Brasil - Doutorado