Multi-objective Optimal Power Flow Model Considering Cascading Trip
The operation mode and structure of the power system are becoming more and more complex,and the probability of blackout caused by source fault is also increasing.In order to prevent the occurrence of cascading trip accidents,this paper proposes a multi-objective optimal power flow model considering cascading trip.Firstly,according to the action behavior of backup protection in the power system,the study establishes the safety margin index of the power grid by using branch electrical parameters.Secondly,with the goal of maximizing safety margin and minimizing power generation cost,and considering the constraints related to the power grid,it builds a multi-objective optimal power flow model considering safety and economy.Aiming at this model,this paper combines particle swarm optimization(PSO)algorithm to give a specific solution algorithm and its flow.Finally,it uses the IEEE 39 node system for simulation verification.The simulation results show that the proposed model can take into account the requirements of security and economy at the same time,that is to say,the power flow operation status obtained by this method can not only reduce power generation costs,but also improve the safety of the power grid against cascading trips.
power systemcascading trippower generation costsafety marginmulti-objective optimal power flow
万方数据
维普
