A fuzzy load allocation method for distribution expansion planning

The operational distribution network, short and medium term planning, focuses on the analysis of network evolution under the guidelines set from the long-term planning. The major difficulty that turns out on this analysis is the massive data associated to these systems when compared with transmission and generation systems. Moreover, the actual tendency of the independent production growth, in the MV network, introduces additional problems. This paper presents a methodology to evaluate node data in order to feed a SCADA for distribution and uses a fuzzy methodology to minimise allocation errors. Node injections are estimated taking into account the related uncertainty that derives from basic uncertainty together with the uncertainty introduced by the method. Final results consist of the estimated injections for a given time period and an evaluation of the configuration concerning operational limits.