Optimization Of Equipment Emergency Maintenance Strategy Considering Power Grid Resilience Under Extreme Weather Conditions

The disasters caused by extreme weather conditions are easy to cause the outage of power grid equipment.In order to improve the ability of power grid to withstand extreme weather disasters and give full play to the potential of its resilience,this paper proposes the optimization of equipment emergency maintenance strategy considering power grid resilience under extreme weather conditions.The emergency maintenance of power grid equipment is divided into two stages: pre-disaster preventive maintenance and post-disaster emergency maintenance.It is expected to reduce the economic losses caused by extreme meteorological disasters and improve the ability of power grid to cope with extreme meteorological disasters by means of emergency maintenance.The resilience of power grid usually refers to the resistance of power grid after serious disturbance and its recovery ability.Due to the characteristics of low probability and high risk of extreme weather disasters,it is difficult to calculate the performance change of power grid under extreme weather disaster by traditional reliability index So the concept of grid toughness emerges,and the measures to deal with extreme meteorological disasters are evaluated by the grid resilience.According to the theory of emergency management,this paper proposes that disaster risk resilience and system load recovery efficiency are taken as the evaluation indexes of grid toughness for equipment emergency maintenance.According to the connotation and characteristics of power grid resilience,this paper studies the generation technology of extreme meteorological factors.Taking typhoon as an example,Holland wind field model is used to generate the temporal and spatial distribution of meteorological factors.The optimal load shedding model considering large-scale fault is studied to deal with the possible islanding operation state of large-scale fault.Considering that the damage effect of extreme weather disasters on equipment is a stochastic process,this paper proposes an evaluation framework of grid resilience index based on Monte Carlo simulation.The health of power grid equipment will affect the outage probability of equipment under extreme weather conditions.In this paper,the pre disaster preventive maintenance of power grid is taken as an important measure to enhance the resilience of power grid.In this paper,the fault rate of equipment is improved by combining the existing meteorological index model with the fault rate of equipment.In this paper,a multi-objective and multi-stage optimization model for emergency preventive maintenance of power grid before extreme meteorological disasters is established by comprehensively considering the economy,risk and resilience of power grid before disaster.The combination of NSGA-II and gurobi solver is used to deal with the multiobjective and stochastic characteristics of the model.The optimal compromise solution can improve the resilience of the power grid while taking into account the maintenance risk and economy,so as to help the dispatcher to make a reasonable preventive maintenance plan.After the extreme weather disaster,the damaged power grid equipment should be repaired as soon as possible to restore the power grid performance.In this paper,the optimization of post disaster emergency maintenance strategy for power grid considering the improvement of resilience is proposed.In the process of transmission network emergency maintenance path planning,the model of route time and maintenance time based on uncertainty is adopted.An optimization model of post disaster emergency maintenance strategy for power grid is established considering the improvement of resilience and stochastic time path planning.According to the characteristics of the model,an improved particle swarm optimization algorithm is proposed,which is suitable for the post disaster emergency maintenance optimization model of power grid.An improved particle swarm optimization algorithm is proposed to adapt to the characteristics of collaborative optimization model.The optimal solution can effectively improve the resilience of power grid after disaster,improve the efficiency of power grid recovery after disaster,and reduce the loss caused by load outage.