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Title: The allocation of a variable series reactor considering AC constraints and contingencies

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. Our work 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.

Authors:
 [1];  [2];  [1];  [1];  [2];  [3];  [4];  [5]
  1. Global Energy Interconnection Research Inst. North America (GEIRI), San Jose, CA (United States)
  2. State Grid Jiangsu Electric Power Company, Nanjing (China)
  3. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  4. Univ. of Tennessee, Knoxville, TN (United States)
  5. Univ. of Central Florida, Orlando, FL (United States)
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Office of Electricity Delivery and Energy Reliability (OE)
OSTI Identifier:
1546547
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Accepted Manuscript
Journal Name:
CSEE Journal of Power and Energy Systems
Additional Journal Information:
Journal Volume: 5; Journal Issue: 1; Journal ID: ISSN 2096-0042
Publisher:
Chinese Society for Electrical Engineering (CSEE)
Country of Publication:
United States
Language:
English
Subject:
N − 1 contingencies; optimization; optimal power flow; variable series reactor; transmission network

Citation Formats

Zhang, Xiaohu, Xu, Chunlei, Shi, Di, Wang, Zhiwei, Zhang, Qibing, Liu, Guodong, Tomsovic, Kevin, and Dimitrovski, Aleksandar. The allocation of a variable series reactor considering AC constraints and contingencies. United States: N. p., 2019. Web. doi:10.17775/CSEEJPES.2017.00400.
Zhang, Xiaohu, Xu, Chunlei, Shi, Di, Wang, Zhiwei, Zhang, Qibing, Liu, Guodong, Tomsovic, Kevin, & Dimitrovski, Aleksandar. The allocation of a variable series reactor considering AC constraints and contingencies. United States. doi:10.17775/CSEEJPES.2017.00400.
Zhang, Xiaohu, Xu, Chunlei, Shi, Di, Wang, Zhiwei, Zhang, Qibing, Liu, Guodong, Tomsovic, Kevin, and Dimitrovski, Aleksandar. Thu . "The allocation of a variable series reactor considering AC constraints and contingencies". United States. doi:10.17775/CSEEJPES.2017.00400. https://www.osti.gov/servlets/purl/1546547.
@article{osti_1546547,
title = {The allocation of a variable series reactor considering AC constraints and contingencies},
author = {Zhang, Xiaohu and Xu, Chunlei and Shi, Di and Wang, Zhiwei and Zhang, Qibing and Liu, Guodong and Tomsovic, Kevin and Dimitrovski, Aleksandar},
abstractNote = {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. Our work 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.},
doi = {10.17775/CSEEJPES.2017.00400},
journal = {CSEE Journal of Power and Energy Systems},
number = 1,
volume = 5,
place = {United States},
year = {2019},
month = {3}
}

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