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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

A Mixed Integer Conic Model for Distribution Expansion Planning: Matheuristic Approach

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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
Linha de fomento: 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
Linha de fomento: Auxílio à Pesquisa - Temático