Sopasakis, Pantelis and Sampathirao, Ajay Kumar and Bemporad, Alberto and Patrinos, Panagiotis Uncertainty-aware demand management of water distribution networks in deregulated energy markets. Environmental Modelling & Software, 101. pp. 10-22. ISSN 1364-8152 (2018)
Full text not available from this repository.Abstract
We present an open-source solution for the operational control of drinking water distribution networks which accounts for the inherent uncertainty in water demand and electricity prices in the day-ahead market of a volatile deregulated economy. As increasingly more energy markets adopt this trading scheme, the operation of drinking water networks requires uncertainty-aware control approaches that mitigate the effect of volatility and result in an economic and safe operation of the network that meets the consumers’ need for uninterrupted water supply. We propose the use of scenario-based stochastic model predictive control: an advanced control methodology which comes at a considerable computation cost which is overcome by harnessing the parallelization capabilities of graphics processing units (GPUs) and using a massively parallelizable algorithm based on the accelerated proximal gradient method.
| Item Type: | Article |
|---|---|
| Identification Number: | https://doi.org/10.1016/j.envsoft.2017.11.035 |
| Uncontrolled Keywords: | Drinking water networks; Bid-based energy market; Stochastic model predictive control; Graphics processing units; Scenario trees; Open-source software |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
| Research Area: | Computer Science and Applications |
| Depositing User: | Caterina Tangheroni |
| Date Deposited: | 16 Jan 2018 10:14 |
| Last Modified: | 16 Jan 2018 10:14 |
| URI: | http://eprints.imtlucca.it/id/eprint/3863 |
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