Abstract
Combined heat and power (CHP) is a typical community owned distributed generation solution in microgrid development. In this work, the ratio between the electricity output and the thermal output is controlled, along with the demand side load management, so as to minimize the overall microgrid operational cost. A model is established for the energy cost of a smart building system, which includes factors such as the real time electricity pricing, the capacity and constraints within CHP operation, the operating condition of heating, ventilation, and air - conditioning (HVAC), and the indoors air temperature of the smart building. Efficient CHP operation and HVAC load management under demand response (DR) are determined through optimization. A case study is carried out to examine the effectiveness of the proposed strategy.
| Original language | English |
|---|---|
| Title of host publication | 15th IEEE International Conference on Control and Automation - Proceedings |
| Place of Publication | Piscataway, NJ |
| Publisher | IEEE |
| Pages | 1073-1078 |
| Number of pages | 6 |
| Publication status | Published - 16 Jul 2019 |
| Event | The 15th IEEE International Conference on Control & Automation - Edinburgh, United Kingdom Duration: 16 Jul 2019 → 19 Jul 2019 Conference number: 15th http://www.ieee-icca.org |
Conference
| Conference | The 15th IEEE International Conference on Control & Automation |
|---|---|
| Abbreviated title | IEEE ICCA 2019 |
| Country/Territory | United Kingdom |
| City | Edinburgh |
| Period | 16/07/19 → 19/07/19 |
| Internet address |
Keywords
- combined heat power (CHP)
- heating ventilation and air-conditioning (HVAC)
- microgrid
- optimization
- demand response (DR)
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Perturbed stochastic fractal search for solar PV parameter estimation
Chen, X., Yue, H. & Yu, K., 15 Dec 2019, In: Energy. 189, 16 p.Research output: Contribution to journal › Article › peer-review
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