Optimal Real-Time Operation of Urban Water Distribution Systems Using Reduced Models
Publication: Journal of Water Resources Planning and Management
Volume 134, Issue 2
Abstract
A method for near-optimal real-time on-line operation of urban water distribution system is presented and demonstrated. It uses a reduced model (RM) of the network which reproduces its performance over time with high fidelity with optimization by a genetic algorithm (GA). The RM-GA software uses network data, forecasted demands for an operational planning time-horizon ( ahead), field data from a SCADA on the current status of the network, time-of-day energy cost data, and operator-imposed constraints on tank water levels and demand junctions pressures. The GA looks for the near-least-cost operation plan for the whole time horizon, using the reduced network model, and activates the first hour of the plan through the SCADA. At the end of the hour, the status of the network is updated from field data, the time horizon is rolled ahead by , and the process repeated. The software was developed for and demonstrated on the distribution system of Haifa. Experiments were conducted, in which the operation which simulates the operators' set-point operation is compared with that obtained by the RM-GA, and energy cost savings of 8 and 10% were calculated for a summer and winter month, respectively.
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Acknowledgments
Our work arose from the POWADIMA project, which was funded by the European Union.EU The writers are grateful to their colleagues in that project, led by Derek Jamieson, for the productive cooperation. The work reported herein has been funded by the Haifa Municipality, through the Water, Sewage and Drainage Division, headed by Engineer Yaron Ben-Ari, whose leadership and foresight made this project possible. Useful suggestions were received from Fernando Martinez.
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Information
Published In
Journal of Water Resources Planning and Management
Volume 134 • Issue 2 • March 2008
Pages: 181 - 185
Copyright
© 2008 ASCE.
History
Received: Jul 14, 2006
Accepted: Oct 26, 2006
Published online: Mar 1, 2008
Published in print: Mar 2008
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