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

Autor(es)

Home-Ortiz, Juan M. ^[1] ; Pourakbari-Kasmaei, Mahdi ^[2] ; Lehtonen, Matti ^[2] ; Mantovani, Jose Roberto Sanches ^[1]

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

• 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