A stochastic mixed-integer convex programming model for long-term distribution system expansion planning considering greenhouse gas emission mitigation

Autor(es)

Home-Ortiz, Juan M. ^[1] ; Melgar-Dominguez, Ozy D. ^{[1, 2]} ; Pourakbari-Kasmaei, Mandi ^[2] ; Sanches Mantovani, Jose Roberto ^[1]

Afiliação do(s) autor(es)

^[1] Sao Paulo State Univ UNESP, Elect Engn Dept, BR-15385000 Ilha Solteira, SP - Brazil

^[2] Aalto Univ, Dept Elect Engn & Automat, Maarintie 8, Espoo 02150 - Finland

• Tipo de documento: Artigo Científico
• Fonte: INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS; v. 108, p. 86-95, JUN 2019.
• Citações Web of Science: 13

Resumo

This paper proposes a multistage convex distribution system planning model to find the best reinforcement plan over a specified horizon. This strategy determines planning actions such as reinforcement of existing substations, conductor replacement of overloaded feeders, and siting and sizing of renewable and dispatchable distributed generation units. Besides, the proposed approach aims at mitigating the greenhouse gas emissions of electric power distribution systems via a monetary form. Inherently, this problem is a non-convex optimization model that can be an obstacle to finding the optimal global solution. To remedy this issue, convex envelopes are used to recast the original problem into a mixed integer conic programming (MICP) model. The MICP model guarantees convergence to optimal global solution by using existing commercial solvers. Moreover, to address the prediction errors in wind output power and electricity demands, a two-stage stochastic MICP model is developed. To validate the proposed model, detail analysis is carried out over various case studies of a 34-node distribution system under different conditions, while to show its potential and effectiveness a 135-node system with two substations is used. Numerical results confirm the effectiveness of the proposed planning scheme in obtaining an economic investment plan at the presence of several planning alternatives and to promote an environmentally committed electric power distribution network. (AU)

• 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