Allocation of a variable series reactor considering AC constraints and contingencies

• Main Authors: Xiaohu Zhang, Chunlei Xu, Di Shi, Zhiwei Wang, Qibing Zhang, Guodong Liu, Kevin Tomsovic, Aleksandar Dimitrovski
• Format: Article
• Language: English
• Published: China electric power research institute 2019-03-01
• Series: CSEE Journal of Power and Energy Systems
• Online Access: https://ieeexplore.ieee.org/document/8661891

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.