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ABSTRACT: 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
Power Engineering Society Summer Meeting, 1999. IEEE; 02/1999
