Optimal Simulation of Overload Risk Assessment in Distribution Network Based on Digital Twins
With the rapid development of distribution network technology,the pressure of power transmission is gradually increasing,and the demand of maintenance staff for overload risk assessment of distribution network is also increasing.In order to solve the problems of low accuracy and poor timeliness of current risk assessment algorithms,this paper proposes a distribution network comprehensive overload risk assessment algorithm based on digital twins.Firstly,the algorithm uses digital twinning technology to build the distribution network overload risk assessment sys-tem,which synchronizes the grid entity and virtual platform in real time,and improves the timeliness of monitoring and operation;Then,Markov algorithm is used to calculate the overload risk probability,and the risk of each part of the distribution network is weighted and summed,and Monte Carlo algorithm is used to evaluate the comprehensive risk index;Finally,the overload risk and comprehensive risk are represented to improve the accuracy of the overload risk assessment of the distribution network.The experimental results show that compared with other baseline models,in terms of risk assessment,the performance of the model built in this paper has improved by 4.28%,effectively impro-ving the accuracy of distribution network overload risk assessment,improving the security of distribution network,and the combination of grid entities and virtual platforms has improved the timeliness of staff configuration of the grid.
Digital twinsDistribution networkRisk assessmentMonte Carlo method
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