Switch Allocation Problem in Power Distribution Systems with Distributed Generation

Gustavo Pacheco Epifanio (), José Federico Vizcaíno González (), Fábio Luiz Usberti (), Luís Tarrataca () and Laura Silva Assis ()
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Gustavo Pacheco Epifanio: Federal Center of Technological Education of Rio de Janeiro - CEFET/RJ
José Federico Vizcaíno González: São Paulo State University - UNESP/SP
Fábio Luiz Usberti: University of Campinas - UNICAMP/SP
Luís Tarrataca: Federal Center of Technological Education of Rio de Janeiro - CEFET/RJ
Laura Silva Assis: Federal Center of Technological Education of Rio de Janeiro - CEFET/RJ

SN Operations Research Forum, 2023, vol. 4, issue 3, 1-24

Abstract: Abstract Research on distributed generation in power systems is of great interest due to its potential benefits in reducing environmental impact and improving overall system reliability and efficiency. The switch allocation problem (SAP) encompasses a series of decision-making faced by power distribution utilities concerning: (i) the number; (ii) type (manual or remote-controlled); (iii) capacity; and (iv) location of switches in a network to minimize operational costs while maintaining acceptable levels of reliability. This work proposes an efficient solution methodology for SAP that can solve large networks with distributed generation. The methodology is based on memetic algorithms embedded with a hierarchical population and local search procedures. Statistical analysis is conducted to determine the optimal values of hyperparameters. A case study on a real-life network (5523 nodes) from the state of São Paulo (Brazil) shows the methodology providing substantial cost reductions compared to the real-world solution implemented by the utility, and the potential benefits resulting from the presence of distributed generation. Also, the proposed approach was evaluated with six well-known instances present in the literature. The proposed methodology solved most of these instances in under minutes and achieved a substantial reduction of the reliability index metric employed, namely, SAIDI.

Keywords: Combinatorial optimization; Switch allocation problem; Network reliability; Distributed energy resources; Memetic algorithms (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s43069-023-00236-1

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