Optimization of Maintenance Time Window Scheduling Suitable for Active Distribution Network

With the rapid development of active distribution networks, the access of a large number of distributed generations has brought about the problems of power flow fluctuations and increased uncertainty, and it challenges the maintenance scheduling of power grid. A mathematical model is established for the optimization of the distribution network maintenance time window scheduling in which various constraints of maintenance schedule are considered. Taking the minimum electricity quantity caused by power supply interruption and the maximum consumption of distributed generations as objective function, the constraints are implemented by equation processing and penalty coefficients, by use of improved genetic algorithm with elitist preservation strategy the optimization problem is solved. Results of calculation examples verifies the feasibility of the model, show that the optimal maintenance scheduling can be obtained and the power supply interruption loss and the DG consumption loss can be reduced.