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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

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

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Author(s):
Home-Ortiz, Juan M. [1] ; Pourakbari-Kasmaei, Mahdi [2] ; Lehtonen, Matti [2] ; Mantovani, Jose Roberto Sanches [1]
Total Authors: 4
Affiliation:
[1] Sao Paulo State Univ, Dept Elect Engn, BR-15385000 Ilha Solteira - Brazil
[2] Aalto Univ, Dept Elect Engn & Automat, Espoo 02150 - Finland
Total Affiliations: 2
Document type: Journal article
Source: IEEE TRANSACTIONS ON SMART GRID; v. 11, n. 5, p. 3932-3943, SEPT 2020.
Web of Science Citations: 0
Abstract

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)

FAPESP's process: 19/01841-5 - Planning of Resilient Electric Power Distribution Systems
Grantee:Juan Manuel Home Ortiz
Support Opportunities: Scholarships in Brazil - Post-Doctoral
FAPESP's process: 15/21972-6 - Optimization of the operation and planning in transmission and distribution systems
Grantee:Rubén Augusto Romero Lázaro
Support Opportunities: Research Projects - Thematic Grants