A Hierarchical Modeling for Reactive Power Optimization With Joint Transmission and Distribution Networks by Curve Fitting

Ding, Tao; Li, Cheng; Huang, Can; Yang, Yongheng; Li, Fangxing; Blaabjerg, Frede

doi:10.1109/JSYST.2016.2642218

Title: A Hierarchical Modeling for Reactive Power Optimization With Joint Transmission and Distribution Networks by Curve Fitting

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Abstract

Here, in order to solve the reactive power optimization with joint transmission and distribution networks, a hierarchical modeling method is proposed in this paper. It allows the reactive power optimization of transmission and distribution networks to be performed separately, leading to a master–slave structure and improves traditional centralized modeling methods by alleviating the big data problem in a control center. Specifically, the transmission-distribution-network coordination issue of the hierarchical modeling method is investigated. First, a curve-fitting approach is developed to provide a cost function of the slave model for the master model, which reflects the impacts of each slave model. Second, the transmission and distribution networks are decoupled at feeder buses, and all the distribution networks are coordinated by the master reactive power optimization model to achieve the global optimality. Finally, numerical results on two test systems verify the effectiveness of the proposed hierarchical modeling and curve-fitting methods.

Authors:

Ding, Tao ^[1]; Li, Cheng ^[1]; Huang, Can ^[2]; Yang, Yongheng ^[3]; Li, Fangxing ^[4]; Blaabjerg, Frede ^[3]

Xi'an Jiaotong University (China). State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Aalborg University (Denmark). Department of Energy Technology
Univ. of Tennessee, Knoxville, TN (United States). Department of Electrical Engineering and Computer Science

Publication Date:: Mon Jan 09 00:00:00 EST 2017

Research Org.:: Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)

Sponsoring Org.:: USDOE; National Science Foundation (NSF)

OSTI Identifier:: 1357395

Report Number(s):: LLNL-JRNL-716920
Journal ID: ISSN 1932-8184

Grant/Contract Number:: AC52-07NA27344; 51607137

Resource Type:: Accepted Manuscript

Journal Name:: IEEE Systems Journal

Additional Journal Information:: Journal Volume: 12; Journal Issue: 3; Journal ID: ISSN 1932-8184

Publisher:: IEEE

Country of Publication:: United States

Language:: English

Subject:: 24 POWER TRANSMISSION AND DISTRIBUTION; reactive power optimization; Curve fitting; decomposition; hierarchical modeling; joint networks

Citation Formats


                    Ding, Tao, Li, Cheng, Huang, Can, Yang, Yongheng, Li, Fangxing, and Blaabjerg, Frede. A Hierarchical Modeling for Reactive Power Optimization With Joint Transmission and Distribution Networks by Curve Fitting.  United States: N. p., 2017. 
Web.  doi:10.1109/JSYST.2016.2642218.

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                    Ding, Tao, Li, Cheng, Huang, Can, Yang, Yongheng, Li, Fangxing, & Blaabjerg, Frede. A Hierarchical Modeling for Reactive Power Optimization With Joint Transmission and Distribution Networks by Curve Fitting.  United States.  https://doi.org/10.1109/JSYST.2016.2642218

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                    Ding, Tao, Li, Cheng, Huang, Can, Yang, Yongheng, Li, Fangxing, and Blaabjerg, Frede. Mon .  
"A Hierarchical Modeling for Reactive Power Optimization With Joint Transmission and Distribution Networks by Curve Fitting".  United States.  https://doi.org/10.1109/JSYST.2016.2642218.  https://www.osti.gov/servlets/purl/1357395.

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@article{osti_1357395,

  title        = {A Hierarchical Modeling for Reactive Power Optimization With Joint Transmission and Distribution Networks by Curve Fitting},

  author       = {Ding, Tao and Li, Cheng and Huang, Can and Yang, Yongheng and Li, Fangxing and Blaabjerg, Frede},

  abstractNote = {Here, in order to solve the reactive power optimization with joint transmission and distribution networks, a hierarchical modeling method is proposed in this paper. It allows the reactive power optimization of transmission and distribution networks to be performed separately, leading to a master–slave structure and improves traditional centralized modeling methods by alleviating the big data problem in a control center. Specifically, the transmission-distribution-network coordination issue of the hierarchical modeling method is investigated. First, a curve-fitting approach is developed to provide a cost function of the slave model for the master model, which reflects the impacts of each slave model. Second, the transmission and distribution networks are decoupled at feeder buses, and all the distribution networks are coordinated by the master reactive power optimization model to achieve the global optimality. Finally, numerical results on two test systems verify the effectiveness of the proposed hierarchical modeling and curve-fitting methods.},

  doi          = {10.1109/JSYST.2016.2642218},

  journal      = {IEEE Systems Journal},

  number       = 3,

  volume       = 12,

  place        = {United States},

  year         = {Mon Jan 09 00:00:00 EST 2017},

  month        = {Mon Jan 09 00:00:00 EST 2017}

}

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