Błaszczyk, J; Malinowski, K; Allidina, A
In this paper an operational control for the Toronto’s Transmission Water System(TWS) is considered. The main objective of the ongoing Transmission Operations timizer (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.