A Model Predictive Control Approach to Microgrid Operation Optimization
- Submitting institution
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The University of Manchester
- Unit of assessment
- 12 - Engineering
- Output identifier
- 40545494
- Type
- D - Journal article
- DOI
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10.1109/TCST.2013.2295737
- Title of journal
- I E E E Transactions on Control Systems Technology
- Article number
- -
- First page
- 1813
- Volume
- 22
- Issue
- 5
- ISSN
- 1063-6536
- Open access status
- Out of scope for open access requirements
- Month of publication
- September
- Year of publication
- 2014
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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2
- Research group(s)
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F - EEE
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The control strategy reported in this paper has been implemented in a software platform for industrial microgrids - iEnergy , developed by an Italian technology company, Kesitaly (http://www.kesitaly.it/index.php/en/solutions-and-services/115-ienergy-2) through collaboration on the FP7 European project eGOTHAM, 2012-2015 (https://cordis.europa.eu/project/rcn/107033/factsheet/en). It was tested and validated in the district heating network of Ylivieska (Finland), showing 7.5% cost saving over current systems. The work led to invited talks at United Technology Research Center, Ireland; Honeywell Data-Centric Technology Group, Czech Republic, and Sandia National Laboratories, USA, and to the award of the European EIT project "Microgrid Operation and ICT Solutions" 2013-2014 (110k€).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
