An optimization model of power emergency repair path under typhoon disaster

Abstract

For power system disaster prevention and mitigation, preparing for the deployment of disaster response crew in advance have important scientific significance and engineering value. This paper proposes an optimization model of power emergency repair path under typhoon disaster. It aims to deploy the repair team in advance based on the advance prediction of the power outage. First, the random forest algorithm is used to predict the number of outage users. Then, the genetic algorithm is used to optimize the repair route according to the damage degree. Finally, taking Xuwen County, Guangdong Province, China as an example. And the results show that the optimization of the repair path can help to choose the appropriate compromise solution. The results show that the strategy can improve the user-side objective by 4.12% and the grid-side objective by 23.84%.