A rolling horizon approach for optimal management of microgrids under stochastic uncertainty
- Submitting institution
-
University College London
- Unit of assessment
- 12 - Engineering
- Output identifier
- 10373
- Type
- D - Journal article
- DOI
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10.1016/j.cherd.2017.09.013
- Title of journal
- Chemical Engineering Research and Design
- Article number
- -
- First page
- 293
- Volume
- 131
- Issue
- -
- ISSN
- 0957-5820
- Open access status
- Compliant
- Month of publication
- September
- Year of publication
- 2017
- URL
-
-
- Supplementary information
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-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
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3
- Research group(s)
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-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work focuses on optimal management of distributed energy resources subject to uncertainty. A novel hybrid framework is proposed, which is based on a rolling horizon solution scheme coupled with two-stage stochastic programming thus combining reactive and proactive approaches to cope with uncertainty on energy generation and demand. This research has resulted in a new industrial PhD research project with Shell on economic dispatch under uncertainty (3.5 years since Oct 2020; Wayne Jones; email: wayne.w.jones@shell.com).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -