In this paper the problem of scheduling execution of tree pruning under the distribution network is formulated as a binary programming model. This model seeks reducing the fault rates due to the vegetation and the optimized allocation of the annual financial and human resources available by the utilities to maintain the trees under the feeders without violating the financial resources constraints and the reliability index. The reliability index due to the vegetation causes are obtained by regression techniques of historical data from the faults occurred in each feeder. To solve the optimization model it is proposed a dedicated Chu-Beasley genetic algorithm. The proposed methodology is tested for an aerial distribution system of a medium size city.
Vegetation Maintenance; Distribution Systems; Chu-Beasley Genetic Algorithm
