Optimization Strategy of Distribution Network Resilience Enhancement under Extreme Disasters as Heavy Wind and Rain Weather
To improve the prevention,resistance,and rapid response capability of the power system to cope with extreme disasters,a two-phase resilience enhancement optimization strategy for distribution grids is proposed to take into account the probability of line failures under extreme disasters such as heavy wind and rain.First of all,to determine the prone area of heavy rain and wind,based on the K-means algorithm,the clustering analysis of heavy rain and wind occurrence area is carried out to get the probability of occurrence of K types of extreme weather in the area where the distribution network is located.Second,the component failure probability model based on the damage intensity of heavy wind and rain weather is studied,followed by Monte Carlo simulation,which converts the line failure probability under the influence of heavy wind and rain into the scenario probability.At the same time,the number of scenarios is simplified.Under each scenario,the stochastic optimization model is established by considering pre-disaster reinforcement including line reinforcement and distributed power supply deployment,and post-disaster response measures including network reconfiguration and line repair,to minimize the cost expectation of the resilience enhancement strategy,and with the cost constraints of pre-disaster reinforcement,the operational constraints of network reconfiguration considered in the middle of the disaster,and the logic of line repair in the post-disaster period as the constraints.The effectiveness of the model for power system restoration under the influence of various types of extreme weather scenarios is verified through case analysis.The results show that the two-stage resilience improvement optimization strategy combined with the pre-disaster strengthening strategy and the post-disaster recovery strategy can recover the system load faster and better under the influence of various extreme disasters such as strong wind and rain weather,and effectively improve the rapid response ability of the power system to deal with extreme disasters.
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