Optimal Decision-making Model for Power Grid Maintenance Scheduling Considering Comprehensive Supply-Demand Factors

Power grid outage decision-making for maintenance significantly affects the power supply reliability and customer’s satisfactions. The actual maintenance schedule for power grid is subjected to the subjective experience decision-making which is suitable for single maintenance outage plan. However, this method is difficult to achieve the optimal decision-making for multiple outage events, and the existing scheme only considers reducing the amount of outage power, instead of the interests of both the maintenance side and the user side. Therefore, we propose an optimal decision-making method for multiple outage events with consideration of the comprehensive supply-demand factors. Firstly, an outage decision-making model is established for optimal power grid maintenance scheduling with consideration of multiple outage events. In this model, the multi-objective function is constructed with minimized power outage (at grid side), minimized disappointment degree of user’s power consumption (user side) and maximized difference degree of equipment outage time (maintenance side), and the constraints of outage power and special events are used as constraint functions. Secondly, in order to improve the optimization efficiency, a single-objective function optimization model is constructed for optimal power grid outage decision-making based on the proportional coefficient method. Thirdly, a fitness optimization model is constructed based on the penalty function, and the genetic algorithm is used to solve the optimal outage decision-making problem. Finally, a real power grid case is used for simulation analysis, which has verified the correctness and effectiveness of the proposed model and algorithm.