Abstract：A mathematical model which is based on fuzzy chance-constrained bi-level programming is presented in this paper. Comparing with traditional models, this model characterizes as the uncertain elements analysis in distribution network maintenance scheduling optimization problem (DMSOP). Credibility theory is adopted to describe those uncertainties such as maintenance resource, load forecast and upper bound of power flow in the process of maintenance scheduling optimization. At the same time, the fuzzy function, which takes into consideration of maintenance expense and the load transfer during different time period, is applied to describe the total maintenance cost. Additionally, the hybrid intelligent algorithm based on fuzzy simulation is put forward to solve this model. At last, an IEEE-RBTS computation example is attached to illustrate the efficiency of the model and the algorithm, from which a robust distribution network maintenance scheduling schemes can be derived.
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2010, Vol. 25 
