| Texto completo | |
| Autor(es): |
Do Carmo Yamaguti, Lucas
;
Home-Ortiz, Juan M.
;
Pourakbari-Kasmaei, Mahdi
;
Sanches Mantovani, Jose Roberto
;
IEEE
Número total de Autores: 5
|
| Tipo de documento: | Artigo Científico |
| Fonte: | 2022 IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2022 IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC / I&CPS EUROPE); v. N/A, p. 6-pg., 2022-01-01. |
| Resumo | |
The Optimal Power Flow (OPF) problem is commonly formulated considering one central operator manager (centralized approach). However, in practice, the power system is structured by interconnected areas, controlled by several system operators, which are dependent on their neighbors and must exchange sensitive data with each other. In addition, some generation units must be restricted in some zones of operation to avoid negative operational effects. This paper proposes a mixed-integer nonlinear programming model to solve the decentralized AC-OPF considering prohibited operation zones (POZ). A matheuristic algorithm based on the variable neighborhood descent heuristic method is used to deal with the integer variables of the problem, while a non-linear optimization solver is used to solve the optimal power flow with continuous variables. The proposed model and solution technique are validated using the IEEE 118-bus system, ensuring that the decentralized model determines solutions close to the centralized model without and with POZ constraints. (AU) | |
| Processo FAPESP: | 19/01841-5 - Planejamento de Sistemas de Distribuição de Energia Elétrica Resilientes |
| Beneficiário: | Juan Manuel Home Ortiz |
| 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 |