Transmission lines de-icing optimal scheduling considering system risk

A model of transmission lines de-icing optimal scheduling was proposed in this paper to reduce the system risk during the ice storm. The ice and wind loads on lines could be calculated by weather and icing forecast. The time-variable forced outage rates of lines could be calculated by the load-strength interference model and it was the component outage model to evaluate the system risk during the ice storm. Considering the ice thickness constraints and system operating level, a dynamic 0-1 integer optimization problem for transmission lines de-icing scheduling, which was with the variables of lines de-icing outage scheme and the objective function of minimizing the value of expected energy not supplied, was proposed and the genetic algorithm was used to solve the programming problem. The proposed model was tested on the IEEE-RTS, and two cases of empirical de-icing scheme were designed to compare with the de-icing scheduling solution solved by the proposed model. The results indicate that under the premise that all three cases guarantee lines' safety, the proposed model gives an appropriate de-icing scheme with minimum system risk. This model can be used as a tool to develop the de-icing scheme before the ice storm.