Demand response for chemical manufacturing using Economic MPC
Demand response for chemical manufacturing using Economic MPC
复制标题
使用经济 MPC 进行化学品制造的需求响应
DOI：
10.1109/acc.2013.6580884
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发表时间：
2013
期刊：
影响因子：
--
通讯作者：
D. Chmielewski
中科院分区：
文献类型：
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作者：
David I. Mendoza;D. Chmielewski
电力系统中的需求响应的概念是使用时变电价结构来鼓励消费者跟踪发电可用性。具体而言，当由于高需求或缺乏可再生能源而导致可用发电量低时，提高电价旨在鼓励智能电网参与者减少消费。同样，当在线发电高于需求时，智能电网参与者可能会从低电价中受益。虽然许多人认为智能电网的参与者是住宅消费者，但商业建筑和工业部门可能会导致电网影响与实施成本的比率更高。在这项工作中，我们调查潜在的需求响应机制，从化学制造业。它将显示，根据所选择的升级硬件的类型，智能电网的操作策略将是实时优化（RTO）或经济模型预测控制（EMPC）的应用程序。在EMPC的情况下，将突出预测范围大小的影响。
The notion of demand response in electric power systems is to use time varying electricity price structures to encourage consumers to track generation availability. Specifically, when available generation is low, either due to high demand or a lack of renewable sources, an increase in electricity rates is intended to encourage smart grid participants to reduce consumption. Similarly, when on-line generation is higher than demand, smart grid participants may benefit from low electricity rates. While many think of smart grid participants as residential consumers, the commercial building and industrial sectors will likely result in a higher grid impact to implementation cost ratio. In this work we investigate potential demand response mechanisms from the chemical manufacturing industry. It will be shown that depending on the type of upgrade hardware selected the smart grid operating policy will either be an application of Real-Time Optimization (RTO) or Economic Model Predictive Control (EMPC). In the case of EMPC the impact of prediction horizon size will be highlighted.