Abstract
In this paper we present simulations of Economic Model Predictive Control (EMPC) for control of the energy system in a smart home. The energy system in a smart home consists of a stationary battery, photo voltaic solar cells on the roof, a heat pump for heating, and an electrical vehicle battery that is charged. Using weather forecasts, thermal comfort and driving profiles, the EMPC coordinates this energy system and its interaction with the external energy system by purchasing and selling electricity at prices that are announced in advance. The EMPC is a linear program with soft constraints for the output constraints and an objective function that represents the cost of energy. In contrast to existing methods, the key novelties in the present paper is the use of multi-level soft constraints and an objective function that accounts not only for the cost of energy used during the prediction horizon but also for the value of energy stored at the end of the prediction horizon. We demonstrate by simulation, that these novelties are important for well-behaved closed-loop performance of the EMPC.
| Original language | English |
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| Title of host publication | Proceedings of 2019 IEEE Conference on Control Technology and Applications |
| Publisher | IEEE |
| Publication date | 2019 |
| Pages | 598-604 |
| ISBN (Print) | 9781728127668 |
| DOIs | |
| Publication status | Published - 2019 |
| Event | 2019 IEEE Conference on Control Technology and Applications - City University of Hong Kong, Hong Kong, China Duration: 19 Aug 2019 → 21 Aug 2019 Conference number: 3 https://ccta2019.ieeecss.org/ |
Conference
| Conference | 2019 IEEE Conference on Control Technology and Applications |
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| Number | 3 |
| Location | City University of Hong Kong |
| Country/Territory | China |
| City | Hong Kong |
| Period | 19/08/2019 → 21/08/2019 |
| Sponsor | City University of Hong Kong, Hong Kong Automatic Control Association, IEEE |
| Internet address |