Allocation of a variable series reactor considering AC constraints and contingencies

Xiaohu Zhang; Chunlei Xu; Di Shi; Zhiwei Wang; Qibing Zhang; Guodong Liu; Kevin Tomsovic; Aleksandar Dimitrovski

doi:10.17775/CSEEJPES.2017.00400

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Allocation of a variable series reactor considering AC constraints and contingencies

更新时间：2025-12-18

- Allocation of a variable series reactor considering AC constraints and contingencies
- CSEE Journal of Power and Energy Systems Vol. 5, Issue 1, Pages: 63-72(2019)
- 作者机构：
  
  1. GEIRI North America,CA,San Jose,USA
  2. State Grid Jiangsu Electric Power Company,Nanjing,China,210024
  3. Oak Ridge National Laboratory, Oak Ridge,TN,US
  4. University of Tennessee Knoxville,,, US,TN,Knoxville
  5. University of Central Florida,,, US,FL,Orlando
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2017.00400
  CLC：
- Published：2019
- 稿件说明：
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Xiaohu Zhang, Chunlei Xu, Di Shi, et al. Allocation of a variable series reactor considering AC constraints and contingencies[J]. CSEE Journal of Power and Energy Systems, 2019, 5(1): 63-72.
DOI：

Xiaohu Zhang, Chunlei Xu, Di Shi, et al. Allocation of a variable series reactor considering AC constraints and contingencies[J]. CSEE Journal of Power and Energy Systems, 2019, 5(1): 63-72. DOI： 10.17775/CSEEJPES.2017.00400.

摘要

Abstract

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.

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