A Fault Recovery Strategy Based on Robust Mixed Integer Second Order Cone Programming for Power Distribution Networks
To enhance the resilience and reliability of distribution networks and enhance their ability to recover from faults,a fault recov-ery strategy for distribution networks based on robust mixed integer second-order cone programming is proposed.Firstly,a convex sec-ond-order cone model of the branch flow equation of the distribution network is established to facilitate the calculation of the optimal so-lution of the model.Secondly,the optimization problem is established with the goal of minimizing the power loss load and the number of switch actions,and the main constraints are power flow constraints,branch flow constraints,bus voltage balance constraints,bus voltage safety constraints,branch current constraints,and radiation operation constraints.Finally,simulation analysis is conducted on three tes-ting systems,and the results show that the distribution network fault recovery strategy based on robust mixed integer second-order cone programming method can achieve the minimization of switching times and load outage time,providing a fast and reliable power supply recovery solution for the fault recovery of the distribution network.
power distribution networkfault recoverymixed integer second-order cone programmingconvex optimization