临界峰值定价下输送带系统的最优调度

2012 10th International Power & Energy Conference (IPEC) Pub Date : 2012-11-01 DOI:10.1109/ASSCC.2012.6523285

T. Mathaba, X. Xia, Jiangfeng Zhang

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引用次数: 17

摘要

研究了临界峰值定价(CPP)下输送带的最优调度问题。采用模型预测控制(MPC)对皮带的运行进行优化。本文评估了MPC预测范围和存储规模对负荷分布的影响，以及由此产生的能源成本。结果表明，MPC算法适用于CPP下的CB调度。论证了存储空间大小和MPC预测层长度对实现成本节约的重要意义。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Optimal scheduling of conveyor belt systems under Critical Peak Pricing

We consider the optimal scheduling of conveyor belts (CB) under Critical Peak Pricing (CPP) tariff. The operation of the belts is optimized using Model Predictive Control (MPC). The paper assesses the effects of MPC prediction horizon and storage size on the load profile, as well as the resulting energy cost. The results show that MPC is suitable for CB scheduling under CPP. The significance of storage size and the length of MPC prediction horizon in achieving cost saving is demonstrated.

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2012 10th International Power & Energy Conference (IPEC)

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