| Texto completo | |
| Autor(es): |
Home-Ortiz, Juan M.
[1]
;
Pourakbari-Kasmaei, Mahdi
[2]
;
Lehtonen, Matti
[2]
;
Mantovani, Jose Roberto Sanches
[1]
Número total de Autores: 4
|
| Afiliação do(s) autor(es): | [1] Sao Paulo State Univ, Dept Elect Engn, BR-15385000 Ilha Solteira - Brazil
[2] Aalto Univ, Dept Elect Engn & Automat, Espoo 02150 - Finland
Número total de Afiliações: 2
|
| Tipo de documento: | Artigo Científico |
| Fonte: | IEEE TRANSACTIONS ON SMART GRID; v. 11, n. 5, p. 3932-3943, SEPT 2020. |
| Citações Web of Science: | 0 |
| Resumo | |
This paper presents a mixed-integer conic programming model (MICP) and a hybrid solution approach based on classical and heuristic optimization techniques, namely matheuristic,to handle long-term distribution systems expansion planning (DSEP) problems. The model considers conventional planning actions as well as sizing and allocation of dispatchable/renewable distributed generation (DG) and energy storage devices (ESD).The existing uncertainties in the behavior of renewable sources and demands are characterized by grouping the historical data via the k-means. Since the resulting stochastic MICPis a convex-based formulation, finding the global solution of the problem using a commercial solver is guaranteed while the computational efficiency in simulating the planning problem of medium- or large-scale systems might not be satisfactory. To tackle this issue, the subproblems of the proposed mathematical model are solved iteratively via a specialized optimization technique based on variable neighborhood descent (VND) algorithm. To show the effectiveness of the proposed model and solution technique, the 24-node distribution system is profoundly analyzed, while the applicability of the model is tested on a 182-node distribution system.The results reveal the essential requirement of developing specialized solution techniques for large-scale systems where classical optimization techniques are no longer an alternative to solve such planning problems. (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 |