Adaptive Optimization of High-voltage Equipment Maintenance Plan Based on Improved Adaptive Particle Swarm Optimization
To ensure the stable operation of the power grid during the maintenance process of high-voltage equipment,an adap-tive optimization method for high-voltage equipment maintenance plan based on improved adaptive particle swarm optimization algorithm is proposed.The fuzzy inference rule algorithm is used to evaluate the operating status of high-voltage equipment,based on the evaluation results,the objective function of minimizing the risk of power grid operation is determined as the opti-mization of high-voltage equipment maintenance,and five constraint conditions such as simultaneous constraint and maintenance resource constraint are determined.Improved adaptive particle swarm optimization is used to solve the objective function,and the optimized high-voltage equipment maintenance plan result is outputted.The test results show that the difference between the maximum voltage and minimum voltage during maintenance by using this method is 0.105 pu,which is relatively stable.
万方数据
维普
