Optimal siting and sizing of renewable energy sources, storage devices, and reactive support devices to obtain a sustainable electrical distribution systems

Autor(es)

Melgar Dominguez, Ozy D. ; Kasmaei, Mahdi Pourakbari ; Lavorato, Marina ; Sanches Mantovani, Jose R.

• Tipo de documento: Artigo Científico
• Fonte: ENERGY SYSTEMS-OPTIMIZATION MODELING SIMULATION AND ECONOMIC ASPECTS; v. 9, n. 3, p. 22-pg., 2018-08-01.

Resumo

This paper presents an integrated planning framework to optimally determine the location and allocation of renewable-based distributed generation (DG) units, energy storage systems (ESSs), and capacitor banks (CBs). This planning aim at improving the performance of electrical distribution systems (EDSs). In the proposed model, the cost of energy delivered by the substation and the investment costs are minimized. The environmental aspects are taken into account to obtain an efficient environmentally committed plan. The uncertainties due to PV generation and demand profile are considered via external uncertainty indexes in a deterministic environment. The proposed model is a mixed-integer nonlinear programming (MINLP) problem, which is recast to a mixed-integer linear programming (MILP) problem using appropriate linearization techniques. This approximated MILP model is implemented in the mathematical language AMPL, while the commercial solver CPLEX is used to obtain the global optimal solutions. The proposed model is validated by testing on a medium voltage distribution system with 135 nodes under different conditions and topologies. (AU)

• Processo FAPESP: 14/22828-3 - Desenvolvimentos de modelos de programação não linear inteira mista para solução de problema de fluxo de potência ótimo ativo e reativo para sistemas com geradores multi-combustíveis considerando restrições ambientais
• Beneficiário: Mahdi Pourakbari Kasmaei
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado
• Processo FAPESP: 16/14319-7 - Alocação on-line de pegada de carbono (carbon footprint): um modelo integrado para gerenciar a redução de emissão de gases de efeito estufa e a demanda de energia elétrica
• Beneficiário: Mahdi Pourakbari Kasmaei
• Modalidade de apoio: Bolsas no Exterior - Estágio de Pesquisa - Pós-Doutorado