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Dispatch-aware planning for feasible power system operation

Christianson, Nicolas and Werner, Lucien and Wierman, Adam and Low, Steven H. (2022) Dispatch-aware planning for feasible power system operation. Electric Power Systems Research, 212 . Art. No. 108597. ISSN 0378-7796. doi:10.1016/j.epsr.2022.108597.

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Maintaining stable energy production with increasing penetration of variable renewable energy requires sufficient flexible generation resources and dispatch algorithms that accommodate renewables’ uncertainty. In this work, we study the feasibility properties of real-time economic dispatch (RTED) algorithms and establish fundamental limits on their performance. We propose a joint methodology for resource procurement and online economic dispatch with guaranteed feasibility. Our algorithm, Feasible Fixed Horizon Control (FFHC) is a regularized form of Receding Horizon Control (RHC) that balances exploitation of good near-term demand predictions with feasibility requirements. Empirical evaluation of FFHC in comparison to the standard RHC on realistic load profiles highlights that FFHC achieves near-optimal performance while ensuring feasibility in high-ramp scenarios where RHC becomes infeasible.

Item Type:Article
Related URLs:
URLURL TypeDescription
Christianson, Nicolas0000-0001-8330-8964
Wierman, Adam0000-0002-5923-0199
Low, Steven H.0000-0001-6476-3048
Additional Information:The authors are supported by the NSF Graduate Research Fellowship, USA (DGE-1745301), Resnick Sustainability Institute Graduate Fellowship, USA, Pimco Graduate Fellowship in Data Science, USA, NSF, USA grants CNS-2106403, NGSDI-2105648, ECCS 1931662, and CPS ECCS 1932611, and Amazon AWS, USA.
Group:Resnick Sustainability Institute
Funding AgencyGrant Number
NSF Graduate Research FellowshipDGE-1745301
Resnick Sustainability InstituteUNSPECIFIED
Amazon Web ServicesUNSPECIFIED
Record Number:CaltechAUTHORS:20221011-128968500.6
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:117352
Deposited By: Research Services Depository
Deposited On:12 Oct 2022 23:27
Last Modified:12 Oct 2022 23:27

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