On Distributed PV Hosting Capacity Estimation, Sensitivity Study, and Improvement

Ding, Fei; Mather, Barry

doi:10.1109/TSTE.2016.2640239

Title: On Distributed PV Hosting Capacity Estimation, Sensitivity Study, and Improvement

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Abstract

This paper first studies the estimated distributed PV hosting capacities of seventeen utility distribution feeders using the Monte Carlo simulation based stochastic analysis, and then analyzes the sensitivity of PV hosting capacity to both feeder and photovoltaic system characteristics. Furthermore, an active distribution network management approach is proposed to maximize PV hosting capacity by optimally switching capacitors, adjusting voltage regulator taps, managing controllable branch switches and controlling smart PV inverters. The approach is formulated as a mixed-integer nonlinear optimization problem and a genetic algorithm is developed to obtain the solution. Multiple simulation cases are studied and the effectiveness of the proposed approach on increasing PV hosting capacity is demonstrated.

Authors:: Ding, Fei; Mather, Barry

Publication Date:: Sat Jul 01 00:00:00 EDT 2017

Research Org.:: National Renewable Energy Lab. (NREL), Golden, CO (United States)

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office

OSTI Identifier:: 1369125

Report Number(s):: NREL/JA-5D00-67598
Journal ID: ISSN 1949-3029

DOE Contract Number:: AC36-08GO28308

Resource Type:: Journal Article

Journal Name:: IEEE Transactions on Sustainable Energy

Additional Journal Information:: Journal Volume: 8; Journal Issue: 3; Journal ID: ISSN 1949-3029

Publisher:: IEEE

Country of Publication:: United States

Language:: English

Subject:: 14 SOLAR ENERGY; 24 POWER TRANSMISSION AND DISTRIBUTION; photovoltaic; hosting capacity; voltage improvement; distribution network management; smart inverter; voltage regulation; network reconfiguration; genetic algorithm

Citation Formats


                    Ding, Fei, and Mather, Barry. On Distributed PV Hosting Capacity Estimation, Sensitivity Study, and Improvement.  United States: N. p., 2017. 
        Web.  doi:10.1109/TSTE.2016.2640239.

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                    Ding, Fei, & Mather, Barry. On Distributed PV Hosting Capacity Estimation, Sensitivity Study, and Improvement.  United States.  https://doi.org/10.1109/TSTE.2016.2640239

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                    Ding, Fei, and Mather, Barry. 2017.  
        "On Distributed PV Hosting Capacity Estimation, Sensitivity Study, and Improvement".  United States.  https://doi.org/10.1109/TSTE.2016.2640239.

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@article{osti_1369125,

  title        = {On Distributed PV Hosting Capacity Estimation, Sensitivity Study, and Improvement},

  author       = {Ding, Fei and Mather, Barry},

  abstractNote = {This paper first studies the estimated distributed PV hosting capacities of seventeen utility distribution feeders using the Monte Carlo simulation based stochastic analysis, and then analyzes the sensitivity of PV hosting capacity to both feeder and photovoltaic system characteristics. Furthermore, an active distribution network management approach is proposed to maximize PV hosting capacity by optimally switching capacitors, adjusting voltage regulator taps, managing controllable branch switches and controlling smart PV inverters. The approach is formulated as a mixed-integer nonlinear optimization problem and a genetic algorithm is developed to obtain the solution. Multiple simulation cases are studied and the effectiveness of the proposed approach on increasing PV hosting capacity is demonstrated.},

  doi          = {10.1109/TSTE.2016.2640239},

  url          = {https://www.osti.gov/biblio/1369125},
  journal      = {IEEE Transactions on Sustainable Energy},

  issn         = {1949-3029},

  number       = 3,

  volume       = 8,

  place        = {United States},

  year         = {Sat Jul 01 00:00:00 EDT 2017},

  month        = {Sat Jul 01 00:00:00 EDT 2017}

}

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