On the operational optimization of pump storage systems in water supply systems using PATs and time-differentiated energy prices

Abstract

Power generation from fossil fuels has long had a negative impact on the environment. Nowadays, a paradigm shift in power generation is being witnessed, with increasing investment in renewable energy sources. Despite this progress, efficient energy storage is still limited. Given this challenge, pumped storage technology can be one of the viable solutions. This involves storing gravitational energy by pumping water into a reservoir at a higher altitude, which is later converted into electrical energy using a turbine. This paper studies a pump hydro storage system (PHS) operation in water supply systems (WSSs), with the aim of minimizing operating costs and evaluating its effectiveness. Replacing conventional pumps with pump-as-turbines (PATs) provides a flexible and cost-effective approach. The proposed methodology aims to optimize the operation of these PATs considering dynamic energy prices. The developed computational model was applied to different operational scenarios and analyzed in terms of cost-effectiveness. The results show that the lower the average ratio between time-differentiated purchase and fixed sell energy tariffs, the greater the optimization potential of using PAT. In the WSS case study analyzed, energy cost reductions of 43.4–68.1% were achieved, demonstrating the effectiveness of PHS in WSS particularly for energy tariffs with large variations. HIGHLIGHTS The management of a pumped storage system integrated into water supply systems is still little explored.; The integration of dynamic energy pricing with PAT operation represents an opportunity for water utilities to reduce their costs.; The computational model developed using optimization algorithms allows for efficient operation of PAT in WSSs.;

Keywords

• computational model
• dynamic energy tariffs
• operational optimization
• pump-as-turbines
• pump hydro storage
• water supply systems