A new model for optimal electricity distribution planning based on fuzzy set techniques

The new possibilistic planning model of this paper allows for modelling the uncertainty of the data, corresponding to the long term distribution networks planning, using distributions of possibility. Thus, the possibilistic model includes the influence of the range of the future demand scenarios in each planning solution. The application of this model to real life distribution systems has been carried out using an original algorithm, based on the "Tabu Search" technique, that achieves satisfactory solutions in acceptable CPU times for large distribution networks. The computational results also indicate that this planning model achieves solutions with more robustness than the classic deterministic models, also obtaining lower distribution systems expansion costs.