论文标题
需求收费下的延期负载调度：一种模型预测的控制方法
Deferrable Load Scheduling under Demand Charge: A Block Model-Predictive Control Approach
论文作者
论文摘要
最佳的延迟电气负载可以重塑汇总负载曲线，以实现更高的操作效率和可靠性。本文研究了根据需求费的延期延期负载计划，该计划在计费期内对高峰消费施加了罚款。当需求预测不准确时，这种终端成本在实时调度中构成了挑战。通过将需求费用分为一系列阶段成本，提出了模型预测的控制方法。充电电动汽车的问题用于说明拟议方法的功效。数值示例表明，在各种设置中，块模型预测性控制优于基准方法。
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.
