Application of Economic Model Predictive Control in Integrated Energy System. Issue 1 (March 2021)
- Record Type:
- Journal Article
- Title:
- Application of Economic Model Predictive Control in Integrated Energy System. Issue 1 (March 2021)
- Main Title:
- Application of Economic Model Predictive Control in Integrated Energy System
- Authors:
- Yang, H L
Shen, J
Jin, Y H
Zhang, J L - Abstract:
- Abstract: Due to the uncertainty of the energy supply and the power demand, the stability and economic performance of the integrated energy system has become a key problem. In this paper, economic model predictive control with augmented model was directly applied to optimize the performance index while responding power demand. Based on the prices of power and hot water, the economic objective function was designed and two modes of operation of heating have been studied which include providing domestic hot water and space heating. The simulation result shows, compared with traditional model predictive control, economic model predictive control could improve economic performance of system by 20% while providing domestic hot water, and showed similar performance while working on space heating.
- Is Part Of:
- IOP conference series. Volume 701:Issue 1(2021)
- Journal:
- IOP conference series
- Issue:
- Volume 701:Issue 1(2021)
- Issue Display:
- Volume 701, Issue 1 (2021)
- Year:
- 2021
- Volume:
- 701
- Issue:
- 1
- Issue Sort Value:
- 2021-0701-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-03
- Subjects:
- Earth sciences -- Periodicals
Environmental sciences -- Congresses
Environmental sciences -- Periodicals
550.5 - Journal URLs:
- http://iopscience.iop.org/1755-1315 ↗
http://ioppublishing.org/ ↗ - DOI:
- 10.1088/1755-1315/701/1/012028 ↗
- Languages:
- English
- ISSNs:
- 1755-1307
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4565.243000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 25220.xml