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Optimal scheduling of deferrable electrical loads can reshape the aggregatedload profile to achieve higher operational efficiency and reliability. Thispaper studies deferrable load scheduling under demand charge that imposes apenalty on the peak consumption over a billing period. Such a terminal costposes challenges in real-time dispatch when demand forecasts are inaccurate. Ablock model-predictive control approach is proposed by breaking demand chargeinto a sequence of stage costs. The problem of charging electric vehicles isused to illustrate the efficacy of the proposed approach. Numerical examplesshow that the block model-predictive control outperforms benchmark methods invarious settings.

Deferrable Load Scheduling under Demand Charge: A Block Model-Predictive Control Approach