A Hybrid Heuristic and Evolutionary Algorithm for Distribution Substation Planning

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Data

2015-12-01

Autores

Mazhari, Seyed Mahdi
Monsef, Hassan
Romero, Ruben [UNESP]

Título da Revista

ISSN da Revista

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Editor

Ieee-inst Electrical Electronics Engineers Inc

Resumo

This paper presents an enhanced evolutionary algorithm to solve the static distribution substation planning problem within large distribution networks. It is based on a deterministic heuristic algorithm to find the approximate substation service areas for each substation and an expert selection strategy that increases the convergence chance to a global optimal solution. The introduced algorithm takes different electrical constraints such as voltage drops, power flow, radial flow constraints, and all prevalent cost indices into consideration. In addition, effects of unreliability within network feeders and substations are investigated on the obtained layouts. The developed method is applied to four benchmark test systems and an actual large-scale distribution system with about 140 000 customers, followed by a discussion on results.

Descrição

Palavras-chave

Distribution expansion planning (DEP), evolutionary algorithm (EA), heuristic algorithm, substation planning

Como citar

Ieee Systems Journal. Piscataway: Ieee-inst Electrical Electronics Engineers Inc, v. 9, n. 4, p. 1396-1408, 2015.