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Digital Library of the
European Council for Modelling and Simulation |
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Title: |
Optimal Pump Scheduling By NLP For Large Scale Water Transmission
System |
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Authors: |
Jacek Blaszczyk, Krzysztof Malinowski, Alnoor Allidina |
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Published in:
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(2014).ECMS 2014 Proceedings edited
by: Flaminio Squazzoni,
Fabio Baronio, Claudia Archetti,
Marco Castellani European Council for
Modeling and Simulation. doi:10.7148/2014 ISBN:
978-0-9564944-8-1 28th
European Conference on Modelling and Simulation, Brescia,
Italy, May 27th – 30th,
2014 |
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Citation
format: |
Jacek Blaszczyk, Krzysztof Malinowski, Alnoor
Allidina (2014). Optimal
Pump Scheduling By NLP For Large Scale Water Transmission System, ECMS 2014
Proceedings edited by: Flaminio Squazzoni,
Fabio Baronio, Claudia Archetti,
Marco Castellani European Council for Modeling and Simulation. doi:10.7148/2014-0501 |
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DOI: |
http://dx.doi.org/10.7148/2014-0501 |
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Abstract: |
In this paper an operational control
for the Toronto’s Transmission Water System (TWS) is considered. The main objective
of the ongoing Transmission Operations Optimizer (TOO) project consists in
developing an advanced optimization and control tool for providing such
pumping schedules for 153 pumps, that all quantitative requirements (such as
pressure, flow, water level and water quality) with respect to the system operation
are met, while the energy costs of delivering fresh water are minimized. We describe here, in general, the
concept of TOO system and the large-scale non-linear, so-called Full Model
(FM), based on system of hydraulic equations. The FM model is, in fact, a
simplified version of EPANET hydraulic simulator with hourly hydraulic
time-step, implemented as a complex NLP optimization model and usually solved
over 24-hour horizon to deliver the aggregated optimal solution. To solve the
resulting large-scale NLP we use the nonlinear interior-point method implemented
in general-purpose large-scale IPOPT solver. Finally, we included the typical
numerical example of application of the TOO Optimizer to solve the 24-hour and
7- day FM problems, and compared obtained optimal FM results with results of
hydraulic simulation performed under EPANET simulator. |
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