Network reconfiguration and loss allocation in a deregulated environment of distribution systems

• Autor(a) principal: Oliveira, Marcelo E. [UNESP]
• Data de Publicação: 2005
• Outros Autores: Ochoa, Luis F. [UNESP], Padilha-Feltrin, Antonio [UNESP], Mantovani, José R. S. [UNESP]
• Tipo de documento: Artigo de conferência
• Idioma: eng
• Título da fonte: Repositório Institucional da UNESP
• Texto Completo: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5427990; http://hdl.handle.net/11449/68693
• topic: Electric generators; Electric losses; Electric power generation; Electric switches; Heuristic methods; Problem solving; Distributed generators; Loss allocation; Network reconfiguration; Reconfiguration problems; Electric power distribution

Low flexibility and reliability in the operation of radial distribution networks make those systems be constructed with extra equipment as sectionalising switches in order to reconfigure the network, so the operation quality of the network can be improved. Thus, sectionalising switches are used for fault isolation and for configuration management (reconfiguration). Moreover, distribution systems are being impacted by the increasing insertion of distributed generators. Hence, distributed generation became one of the relevant parameters in the evaluation of systems reconfiguration. Distributed generation may affect distribution networks operation in various ways, causing noticeable impacts depending on its location. Thus, the loss allocation problem becomes more important considering the possibility of open access to the distribution networks. In this work, a graphic simulator for distribution networks with reconfiguration and loss allocation functions, is presented. Reconfiguration problem is solved through a heuristic methodology, using a robust power flow algorithm based on the current summation backward-forward technique, considering distributed generation. Four different loss allocation methods (Zbus, Direct Loss Coefficient, Substitution and Marginal Loss Coefficient) are implemented and compared. Results for a 32-bus medium voltage distribution network, are presented and discussed.