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Ingeniare. Revista chilena de ingeniería

versão On-line ISSN 0718-3305

Resumo

MONTOYA G., Oscar D.; GRAJALES O., Alejandro; HINCAPIE I., Ricardo A.  e  GRANADA E., Mauricio. A new approach to solve the distribution system planning problem considering automatic reclosers. Ingeniare. Rev. chil. ing. [online]. 2017, vol.25, n.3, pp.415-429. ISSN 0718-3305.  http://dx.doi.org/10.4067/S0718-33052017000300415.

This article describes two new methodologies for optimal distribution system planning considering automatic reclosers to improve reliability indices. The first methodology proposed in this paper employs a two-stage cascade strategy to solve the problem. In the first stage a mono-objective Tabu Search (TS) algorithm is used to find the optimal distribution system topology. The installation cost of new elements, increasing capacity on existing elements and operational costs associated with technical losses are considered. In the second stage a Non-Dominated Sorting Genetic Algorithm known as NSGA II is employed, considering the optimal distribution system topology found by the first stage, and thus, solving the problem of optimal location of automatic reclosers in distribution systems. The non-supplied energy level of the network and installation cost of reclosers are considered as objective functions; and the min-max criterion to select a point on the optimal Pareto front is used. In the second methodology, a master-slave based optimization algorithm is used to find the best network topology including the associated to automatic reclosers. Master algorithm is a TS algorithm which is responsible to direct the optimization process through solution space, whereby, for each neighbor generated, the slave algorithm NSGA II is applied and min-max criterion is used to determine a configuration of reclosers for actual network topology. The proposed methodologies are applied on three-phase version of IEEE 34 nodes test feeder, with high quality results.

Palavras-chave : Distribution systems; min-max criterion; multi-objective optimization; NSGA-II Algorithm; reclosers; reliability.

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