An Incentive-based Online Optimization Framework for Distribution Grids

Zhou, Xinyang; Dall'Anese, Emiliano; Chen, Lijun; Simonetto, Andrea

doi:10.1109/TAC.2017.2760284

Title: An Incentive-based Online Optimization Framework for Distribution Grids

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Abstract

This article formulates a time-varying social-welfare maximization problem for distribution grids with distributed energy resources (DERs) and develops online distributed algorithms to identify (and track) its solutions. In the considered setting, network operator and DER-owners pursue given operational and economic objectives, while concurrently ensuring that voltages are within prescribed limits. The proposed algorithm affords an online implementation to enable tracking of the solutions in the presence of time-varying operational conditions and changing optimization objectives. It involves a strategy where the network operator collects voltage measurements throughout the feeder to build incentive signals for the DER-owners in real time; DERs then adjust the generated/consumed powers in order to avoid the violation of the voltage constraints while maximizing given objectives. Stability of the proposed schemes is analytically established and numerically corroborated.

Authors:

Zhou, Xinyang ^[1]; Dall'Anese, Emiliano ^[2]; Chen, Lijun ^[3]; Simonetto, Andrea ^[4]

Univ. of Colorado, Boulder, CO (United States). Interdisciplinary Telecommunication Program
National Renewable Energy Lab. (NREL), Golden, CO (United States). Power Systems Engineering Center
Univ. of Colorado, Boulder, CO (United States). Computer Science and Telecommunications
IBM Research Ireland, Mulhuddart (Ireland)

Publication Date:: 2017-10-09

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

Sponsoring Org.:: USDOE Office of Electricity (OE)

OSTI Identifier:: 1409162

Report Number(s):: NREL/JA-5D00-68133
Journal ID: ISSN 0018-9286

Grant/Contract Number:: AC36-08GO28308

Resource Type:: Accepted Manuscript

Journal Name:: IEEE Transactions on Automatic Control

Additional Journal Information:: Journal Volume: 63; Journal Issue: 7; Journal ID: ISSN 0018-9286

Publisher:: IEEE

Country of Publication:: United States

Language:: English

Subject:: 24 POWER TRANSMISSION AND DISTRIBUTION; voltage regulation; real-time pricing; social welfare maximization; distribution networks; time-varying optimization

Citation Formats


                    Zhou, Xinyang, Dall'Anese, Emiliano, Chen, Lijun, and Simonetto, Andrea. An Incentive-based Online Optimization Framework for Distribution Grids.  United States: N. p., 2017. 
Web.  doi:10.1109/TAC.2017.2760284.

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                    Zhou, Xinyang, Dall'Anese, Emiliano, Chen, Lijun, & Simonetto, Andrea. An Incentive-based Online Optimization Framework for Distribution Grids.  United States.  https://doi.org/10.1109/TAC.2017.2760284

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                    Zhou, Xinyang, Dall'Anese, Emiliano, Chen, Lijun, and Simonetto, Andrea. Mon .  
"An Incentive-based Online Optimization Framework for Distribution Grids".  United States.  https://doi.org/10.1109/TAC.2017.2760284.  https://www.osti.gov/servlets/purl/1409162.

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@article{osti_1409162,

  title        = {An Incentive-based Online Optimization Framework for Distribution Grids},

  author       = {Zhou, Xinyang and Dall'Anese, Emiliano and Chen, Lijun and Simonetto, Andrea},

  abstractNote = {This article formulates a time-varying social-welfare maximization problem for distribution grids with distributed energy resources (DERs) and develops online distributed algorithms to identify (and track) its solutions. In the considered setting, network operator and DER-owners pursue given operational and economic objectives, while concurrently ensuring that voltages are within prescribed limits. The proposed algorithm affords an online implementation to enable tracking of the solutions in the presence of time-varying operational conditions and changing optimization objectives. It involves a strategy where the network operator collects voltage measurements throughout the feeder to build incentive signals for the DER-owners in real time; DERs then adjust the generated/consumed powers in order to avoid the violation of the voltage constraints while maximizing given objectives. Stability of the proposed schemes is analytically established and numerically corroborated.},

  doi          = {10.1109/TAC.2017.2760284},

  journal      = {IEEE Transactions on Automatic Control},

  number       = 7,

  volume       = 63,

  place        = {United States},

  year         = {2017},

  month        = {10}

}

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