Deferrable Load Scheduling under Demand Charge: A Block Model-Predictive Control Approach
Optimal scheduling of deferrable electrical loads can reshape the aggregated load profile to achieve higher operational efficiency and reliability. This paper studies deferrable load scheduling under demand charge that imposes a penalty on the peak consumption over a billing period. Such a terminal...
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Main Authors | , , , |
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Format | Journal Article |
Language | English |
Published |
29.12.2020
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Subjects | |
Online Access | Get full text |
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Summary: | Optimal scheduling of deferrable electrical loads can reshape the aggregated
load profile to achieve higher operational efficiency and reliability. This
paper studies deferrable load scheduling under demand charge that imposes a
penalty on the peak consumption over a billing period. Such a terminal cost
poses challenges in real-time dispatch when demand forecasts are inaccurate. A
block model-predictive control approach is proposed by breaking demand charge
into a sequence of stage costs. The problem of charging electric vehicles is
used to illustrate the efficacy of the proposed approach. Numerical examples
show that the block model-predictive control outperforms benchmark methods in
various settings. |
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DOI: | 10.48550/arxiv.2012.14624 |