Power grids and water systems are highly connected. Water facilities such as pumping stations, desalination, and treatment plants are extensive energy consumers. And at the same time, water systems provide considerable operational flexibility through storage facilities, allowing load-shifting capabilities, essential for power grids. We hypothesize that integrating decision-making for both systems can enhance their overall efficiency and reliability, therefore improving the public utility of these vital systems
Perelman, G., Shmaya, T., Navon, A., Vrachimis, S., Panteli, M., Eliades D. G., Ostfeld, A. (2025). Coordinated operational optimization of water and power systems under emergency conditions. Sustainable Energy, Grids and Networks, 42, 101643
DeePC is a paradigm shift in control theory that offers a model-free approach for real-time optimization of complex systems. In this study, we demonstrate the effectiveness of the method in two water distribution systems applications.
Perelman, G., Ostfeld A. (2025) Data-Enabled Predictive Control (DeePC) for Water Distribution Systems Optimization. Water Resources Research, 61, e2024WR039059.
The main focus of my research is optimizing the performance of water distribution systems while considering the inherent uncertainties of such systems.
Perelman, G., Ostfeld A. (2023) Adjustable Robust Optimization for Water Distribution System Operation Under Uncertainty. Water Resources Research, 59, e2023WR035508.
https://doi.org/10.1029/2023WR035508
Perelman, G., Ostfeld A., and Fishbain, B. (2023) Robust Optimal Operation of Water Distribution Systems. Water 15, 5, 963. https://doi.org/10.3390/w15050963