基于灾害预测的配电网多时段供电弹性提升策略

Disaster Prediction-based Resilience Enhancement Strategy for Multi-hour Power Supply in Distribution Networks

考虑配电网所面临的极端灾害风险,提出一种基于灾害预测的配电网弹性供电策略。首先,分析灾害预测对配电网弹性供电的提升作用。其次,基于灾害预测信息,考虑应急电源车的优化部署与电能转运,提出配电网面临灾害时的预防、抵御和恢复3个阶段的供电弹性提升模型。第三,采用二阶锥松弛方法,将所构建的非凸非线性模型转化为混合整数二阶锥规划模型并求解。最后,通过改进的69节点配电系统进行算例仿真,验证了所提策略的有效性和优越性。

Considering the extreme disaster risk faced by the distribution network,a disaster prediction-based resilience enhancement power supply strategy for the distribution network was proposed.Firstly,the effect of disaster prediction on improving the flexible power supply of the distribution network was analyzed.Secondly,considering the optimal deployment of emergency power vehicles and the transfer of electric energy,a three-stage power supply elasticity improvement model for distribution network disaster prevention,resistance,and recovery was proposed based on the disaster prediction information.Thirdly,the constructed non-convex nonlinear model was transformed into a mixed integer second-order cone programming model and solved by using the second-order cone relaxation method.Finally,the effectiveness and superiority of the proposed strategy are verified through the example simulation of the improved 69-node power distribution system.