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The Allocation of a Variable Series Reactor Considering AC Constraints and Contingencies

Optimization and Control · Submitted 30 Dec 2017

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim Numerical case studies based on IEEE 118-bus demonstrate the high performance of the proposed approach.

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arXiv ID1801.00172 (version 1)
Pith IDUMEMJMJK, Pith's permanent record of this paper and its review
CitationAleksandar Dimitrovski, Chunlei Xu, Di Shi, Guodong Liu, Kevin Tomsovic, Qibing Zhang, Xiaohu Zhang, Zhiwei Wang. "The Allocation of a Variable Series Reactor Considering AC Constraints and Contingencies." arXiv:1801.00172 (2017). https://pith.science/paper/UMEMJMJK
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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 4,858 input tokens.

What the abstract itself states, as probabilities: claims first 0.04 · states limitation 0.45 · human participants 0.01 · controlled comparison 0.09 · randomized assignment 0.01 · states quantitative result 0.09 · compares with prior results 0.10 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

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.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 The Variable Series Reactors (VSRs) can efficiently control the power flow through the adjustment of the line reactance. background 1.00 0.09 0.03 asserted 0.94
s1 When they are appropriately allocated in the power network, the transmission congestion and generation cost can be reduced. background 1.00 0.08 0.08 asserted 0.58
s2 This paper proposes a planning model to optimally allocate VSRs considering AC constraints and multi-scenarios including base case and contingencies. contribution 0.99 0.92 0.21 asserted 1.00
s3 The planning model is originally a non-convex large scale mixed integer nonlinear program (MINLP), which is generally intractable. background 0.71 0.36 0.03 asserted 1.00
s4 The proposed Benders approach decomposes the MINLP model into a mixed integer linear program (MILP) master problem and a number of nonlinear subproblems. method 0.98 0.90 0.08 asserted 1.00
s5 Numerical case studies based on IEEE 118-bus demonstrate the high performance of the proposed approach. result 0.97 0.93 0.49 asserted 1.00

What kind of paper the classifier reports this is: method or tool 1.00 · evidence from simulation or computation 1.00.

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Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original 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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