The Variable Series Reactors(VSRs)can efficiently control the power flow through the adjustment of the line reactance.When they are appropriately allocated in the power network,the transmission congestion and generati...The Variable Series Reactors(VSRs)can efficiently control the power flow through the adjustment of the line reactance.When they are appropriately allocated in the power network,the transmission congestion and generation cost can be reduced.This paper proposes a planning model to optimally allocate VSRs considering AC constraints and multi-scenarios including base case and contingencies.The planning model is originally a non-convex large scale mixed integer nonlinear program(MINLP),which is generally intractable.The proposed Benders approach decomposes the MINLP model into a mixed integer linear program(MILP)master problem and a number of nonlinear subproblems.Numerical case studies based on IEEE 118-bus demonstrate the high performance of the proposed approach.展开更多
基金This work was supported in part by the Advanced Research Projects Agency-Energy(ARPA-E)the Engineering Research Center Program of the National Science Foundation+2 种基金the Department of Energy under NSF Award Number EEC-1041877the CURENT Industry Partnership Programthe Science and Technology Project of State Grid Corporation of China(Project Analysis Techniques for Coordinated Development of New Energy,Distributed Generation,Energy Storage and Power Grid to Meet Global Energy Interconnection Demand).
文摘The Variable Series Reactors(VSRs)can efficiently control the power flow through the adjustment of the line reactance.When they are appropriately allocated in the power network,the transmission congestion and generation cost can be reduced.This paper proposes a planning model to optimally allocate VSRs considering AC constraints and multi-scenarios including base case and contingencies.The planning model is originally a non-convex large scale mixed integer nonlinear program(MINLP),which is generally intractable.The proposed Benders approach decomposes the MINLP model into a mixed integer linear program(MILP)master problem and a number of nonlinear subproblems.Numerical case studies based on IEEE 118-bus demonstrate the high performance of the proposed approach.
