Abstract
The Robust Optimization (RO) methodology (Ben-Tal et al., 2009) is applied to optimize the operation of a water supply system (WSS) which supplies water from aquifers with uncertain recharge and desalination plants through a network to consumers. The objective is to minimize the total cost of multiyear operation, while satisfying operational and physical constraints. The RO methodology optimizes the uncertain problem by requesting that the uncertain parameters reside within a user-defined uncertainty set. The static ("here and now") version of RO is called Robust Counterpart (RC), in which the original problem is converted into a deterministic equivalent problem. A generic RC model for optimal operation of a WSS is developed and demonstrated. The policies obtained by the RO methodology, each requiring a different reliability, are compared with other decision making approaches.
| Original language | English |
|---|---|
| Title of host publication | Risk in Water Resources Management |
| Pages | 183-190 |
| Number of pages | 8 |
| State | Published - 2011 |
| Externally published | Yes |
| Event | Symposium H03 on Risk in Water Resources Management, Held During the 25th General Assembly of the International Union of Geodesy and Geophysics, IUGG 2011 - Melbourne, VIC, Australia Duration: 28 Jun 2011 → 7 Jul 2011 |
Publication series
| Name | IAHS-AISH Publication |
|---|---|
| Volume | 347 |
| ISSN (Print) | 0144-7815 |
Conference
| Conference | Symposium H03 on Risk in Water Resources Management, Held During the 25th General Assembly of the International Union of Geodesy and Geophysics, IUGG 2011 |
|---|---|
| Country/Territory | Australia |
| City | Melbourne, VIC |
| Period | 28/06/11 → 7/07/11 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 6 Clean Water and Sanitation
Keywords
- Optimal operation
- Robust Counterpart
- Robust Optimization
- Uncertain recharge
- Water supply systems
ASJC Scopus subject areas
- General Earth and Planetary Sciences
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