An optimal stochastic energy management system for resilient microgrids

Autor(es)

Silva, Jessica Alice A. ^[1] ; Lopez, Juan Camilo ^[1] ; Arias, Nataly Banol ^[1] ; Rider, Marcos J. ^[1] ; Silva, Luiz C. P. da ^[1]

Afiliação do(s) autor(es)

^[1] Univ Campinas UNICAMP, Dept Syst & Energy DSE, Ave Albert Einstein, BR-13083852 Campinas, SP - Brazil

• Tipo de documento: Artigo Científico
• Fonte: APPLIED ENERGY; v. 300, OCT 15 2021.
• Citações Web of Science: 0

Resumo

This paper presents a stochastic mixed-integer nonlinear programming model for the optimal energy management system of unbalanced three-phase of alternating current microgrids. The proposed model considers the following random variables: nodal demands, nodal renewable generation and voltage reference at the point of common coupling. Furthermore, the proposed model is aimed at providing resilient energy management system solutions via contingency constraints. The proposed mixed-integer nonlinear programming model is transformed into a mixed-integer linear programming model through a set of linearizations that can be solved via off-the-shelf convex programming solvers. The analyzed microgrid comprises photovoltaic generation, energy storage systems, electric vehicle chargers, direct load control, and non-renewable generation, which operates when the microgrid is in islanded mode. The stochastic nature of the problem is considered through a scenario-based approach. The solution to the model determines the day-ahead operation of the microgrid resources that minimizes the average operational cost. An unexpected islanded operation at any given time is considered via contingency constraints. Tests are performed using data of the real microgrid at the Laboratory of Intelligent Electrical Networks (LabREI), at University of Campinas. Results show that the proposed model produces resilient day-ahead energy management system solutions while minimizing the average operational costs and maximizing the use of local renewable energy sources. (AU)

• 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: 18/23617-7 - Operação ótima de sistemas modernos de distribuição de energia elétrica através da participação ativa de veículos elétricos e baterias estacionárias
• Beneficiário: Maria Nataly Banol Arias
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado
• Processo FAPESP: 19/01906-0 - Restauração ótima distribuída de sistema de distribuição de energia elétrica utilizando o algoritmo da direção alternada de multiplicadores de Lagrange
• Beneficiário: Juan Camilo Lopez Amezquita
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado
• Processo FAPESP: 15/21972-6 - Otimização do planejamento e da operação de sistemas de transmissão e de distribuição de energia elétrica
• Beneficiário: Rubén Augusto Romero Lázaro
• Modalidade de apoio: Auxílio à Pesquisa - Temático