Mathematical optimization versus Metaheuristic tec... - BV FAPESP
Advanced search
Start date
Betweenand
Related content
(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Mathematical optimization versus Metaheuristic techniques: A performance comparison for reconfiguration of distribution systems

Full text
Author(s):
Silveira, Christoffer L. Bezao [1] ; Tabares, Alejandra [1] ; Faria, Lucas Teles [2] ; Franco, John F. [2]
Total Authors: 4
Affiliation:
[1] Sao Paulo State Univ UNESP, Dept Elect Engn, Ilha Solteira, SP - Brazil
[2] Sao Paulo State Univ UNESP, Sch Energy Engn, Av Barrageiros 1881, Rosana, SP - Brazil
Total Affiliations: 2
Document type: Journal article
Source: Electric Power Systems Research; v. 196, JUL 2021.
Web of Science Citations: 0
Abstract

Reconfiguration is a complex combinatorial problem in which the topology of distribution systems is modified by the opening/closing of interconnection switches aiming techno-economic benefits (e.g., minimization of losses). Numerous optimization methods have been developed to solve the reconfiguration problem, although a comparative analysis of their performances is still a challenging task due to the nature of the methods, differences in their implementation, and used computational equipment. To fulfill that gap, this paper assesses classical models along with metaheuristics already applied in the specialized literature considering the reported losses and computational effort. To eliminate differences due to implementation and equipment, two proposed metrics are assessed using a reference specialized power flow: `equivalent time' and `equivalent number of power flows'. The quality of the solutions was compared for standard test systems (33, 136, and 417 buses) and a ranking of the methods was produced. It was concluded that linear and conic programming models find the optimal solution for low and medium-size systems; moreover, the linear model requires lower computational effort than the conic and the nonlinear programming formulations. On the other hand, it was verified that metaheuristics need lower computational effort and provide better solutions for large-size systems compared to classical optimization. (AU)

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
FAPESP's process: 17/02831-8 - Application of optimization methods to the planning of electrical distribution systems
Grantee:John Fredy Franco Baquero
Support Opportunities: Regular Research Grants
FAPESP's process: 18/20990-9 - New optimization models to solve the distribution system planning problem in the context of active networks
Grantee:Alejandra Tabares Pozos
Support Opportunities: Scholarships in Brazil - Post-Doctoral
FAPESP's process: 18/18659-2 - Comparative Analysis of optimization methods applied to the solution of the reconfiguration of electrical distribution systems
Grantee:Christoffer Lucas Bezão Silveira
Support Opportunities: Scholarships in Brazil - Master