Optimal Network Topology for Node-Breaker Representations With AC Power Flow Constraints

Park, Byungkwon; Demarco, Christopher L.

doi:10.1109/ACCESS.2020.2984521

Title: Optimal Network Topology for Node-Breaker Representations With AC Power Flow Constraints

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Abstract

It has been demonstrated that network topology optimization (NTO) may change the topology of power system networks, and consequently, provide additional flexibility to reduce network congestion and violations. Most NTO problems are formulated based on the bus-branch model in which it is challenging to represent a realistic picture of all substation configurations. In this paper, we explore advantages of substation reconfiguration modeling based on node-breaker representations for NTO problem with full nonlinear alternating current power flow. It also proposes a tailored solution algorithm to solve this nonconvex mixed-integer nonlinear programming through the outer approximation method. The proposed solution approach iterates between a mixed-integer linear programming and a nonlinear subproblem. Additional enhancements to further accelerate the iteration process are illustrated. Numerical case studies demonstrate the relative economic and operational impact of optimal network topology with node-breaker representations.

Authors:

^[1]; Demarco, Christopher L. ^[2]

Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Univ. of Wisconsin, Madison, WI (United States)

Publication Date:: 2020-03-31

Research Org.:: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

Sponsoring Org.:: USDOE

OSTI Identifier:: 1616825

Grant/Contract Number:: AC05-00OR22725

Resource Type:: Accepted Manuscript

Journal Name:: IEEE Access

Additional Journal Information:: Journal Volume: 8; Journal Issue: NA; Journal ID: ISSN 2169-3536

Publisher:: IEEE

Country of Publication:: United States

Language:: English

Subject:: 42 ENGINEERING; network topology optimization; node-breaker model; outer approximation; power system modeling; Sparse Tableau Formulation

Citation Formats


                    Park, Byungkwon, and Demarco, Christopher L. Optimal Network Topology for Node-Breaker Representations With AC Power Flow Constraints.  United States: N. p., 2020. 
Web.  doi:10.1109/ACCESS.2020.2984521.

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                    Park, Byungkwon, & Demarco, Christopher L. Optimal Network Topology for Node-Breaker Representations With AC Power Flow Constraints.  United States.  https://doi.org/10.1109/ACCESS.2020.2984521

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                    Park, Byungkwon, and Demarco, Christopher L. Tue .  
"Optimal Network Topology for Node-Breaker Representations With AC Power Flow Constraints".  United States.  https://doi.org/10.1109/ACCESS.2020.2984521.  https://www.osti.gov/servlets/purl/1616825.

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@article{osti_1616825,

  title        = {Optimal Network Topology for Node-Breaker Representations With AC Power Flow Constraints},

  author       = {Park, Byungkwon and Demarco, Christopher L.},

  abstractNote = {It has been demonstrated that network topology optimization (NTO) may change the topology of power system networks, and consequently, provide additional flexibility to reduce network congestion and violations. Most NTO problems are formulated based on the bus-branch model in which it is challenging to represent a realistic picture of all substation configurations. In this paper, we explore advantages of substation reconfiguration modeling based on node-breaker representations for NTO problem with full nonlinear alternating current power flow. It also proposes a tailored solution algorithm to solve this nonconvex mixed-integer nonlinear programming through the outer approximation method. The proposed solution approach iterates between a mixed-integer linear programming and a nonlinear subproblem. Additional enhancements to further accelerate the iteration process are illustrated. Numerical case studies demonstrate the relative economic and operational impact of optimal network topology with node-breaker representations.},

  doi          = {10.1109/ACCESS.2020.2984521},

  journal      = {IEEE Access},

  number       = NA,

  volume       = 8,

  place        = {United States},

  year         = {2020},

  month        = {3}

}

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