Ph.D Student Technion-Israel Institute of Technology, Israel
Water and power distribution systems (WDS and PDS) are inextricably interconnected, each exerting significant impacts on the other. While WDSs are major consumers of power from PDSs, they also offer flexibility in peak power consumption, aiding in PDS load regulation. Several recent studies have acknowledged this interconnection, advocating for a holistic optimization approach. However, the inherent uncertainties in both systems remain largely unexplored in the context of conjunctive operation. This study introduces an optimization framework that concurrently addresses optimal power dispatch and pump scheduling under various uncertainties, including fluctuating power and water demands, as well as variable renewable power generation. Given the high complexity of modeling each of the systems and the dynamic nature of the control framework, an adjustable robust optimization is suggested as a tractable approach which also allows real-time adjustments as a response to uncertainty realizations. The method is examined through a case study network to illustrate the trade-offs between robustness and optimality and to analyze the impacts of different uncertainty scenarios on the operation of the two systems.