Conference paper
The Potential of Economic MPC for Power Management
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.
| Language: | English |
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| Publisher: | IEEE |
| Year: | 2010 |
| Pages: | 7533-7538 |
| Proceedings: | 49th IEEE Conference on Decision and Control |
| ISBN: | 1424477441 , 9781424477449 , 142447745X , 142447745x , 1424477468 , 9781424477456 and 9781424477463 |
| ISSN: | 25762370 and 07431546 |
| Types: | Conference paper |
| DOI: | 10.1109/CDC.2010.5718175 |
| ORCIDs: | Jørgensen, John Bagterp |
Biological system modeling CHP Cooling Economics Generators Power demand Predictive models Production coal generator economic MPC economic model predictive control economic objective function electric power generation gas fired power generator heat generator linear program linear programming power management power markets power system control predictive control receding horizon controller weighted least squares objective function
