The Potential of Economic MPC for Power Management

被引:43
作者
Hovgaard, Tobias Gybel [1 ]
Edlund, Kristian [2 ]
Jorgensen, John Bagterp [3 ]
机构
[1] Danfoss AS, Nordborgvej 81, DK-6430 Nordborg, Denmark
[2] DONG Energy AS, DK-7000 Fredericia, Denmark
[3] Tech Univ Denmark, DTU Informat, DK-2800 Lyngby, Denmark
来源
49TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC) | 2010年
关键词
D O I
10.1109/CDC.2010.5718175
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Economic Model Predictive Control is a receding horizon controller that minimizes an economic objective function rather than a weighted least squares objective function as in Model Predictive Control (MPC). We use Economic MPC to operate a portfolio of power generators and consumers such that the cost of producing the required power is minimized. The power generators are controllable power generators such as combined heat and power generators (CHP), coal and gas fired power generators, as well as a significant share of uncontrollable power generators such as parks of wind turbines. In addition, some of the power consumers are controllable. In this paper, the controllable power consumers are exemplified by large cold rooms or aggregations of super markets with refrigeration systems. We formulate the Economic MPC as a linear program. By simulation, we demonstrate the performance of Economic MPC for a small conceptual example.
引用
收藏
页码:7533 / 7538
页数:6
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