6533b861fe1ef96bd12c4226

RESEARCH PRODUCT

Service restoration in compensated distribution networks using a hybrid genetic algorithm

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description

In this paper a genetic algorithm (GA) based approach to the service restoration (SR) problem in automated distribution networks is presented. Normal operation within the network comprises both automatic reconfiguration and compensation so as to reduce power losses, allow load balancing and improve the voltage profile. In the restorative state, the reconfiguration is performed together with compensation, taking mainly into account the load supply requirement and secondarily, the losses reduction requirement. After a general discussion on the restoration problem together with a short review of recent papers on the topic, a solution strategy is proposed. Then, a short account about classical GA searching mechanism is reported in order to emphasize the difficulties arising from the application of a classical GA to the restoration problem. Therefore, the hybridization strategy of the GA is presented in depth, with particular regard to the description of some new operators, of the objective function and of the constraints expression. Finally, test results and concluding remarks are reported.