Economic Model Predictive Control of Water Distribution Systems with Solar Energy and Batteries
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2023-01-01
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Proceedings of the ... IEEE Conference on Decision & Control / IEEE Control Systems Society. IEEE Conference on Decision & Control
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IEEE
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Electrical and Electronic Engineering
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Zheng, X., Wang, Y., Weyer, E. & Manzie, C. (2023). Economic Model Predictive Control of Water Distribution Systems with Solar Energy and Batteries. Proceedings of the IEEE Conference on Decision and Control, 00, pp.265-270. IEEE. https://doi.org/10.1109/CDC49753.2023.10383248.
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Abstract
Pumping in water distribution systems (WDSs) consumes a significant amount of power from the grid and may incur large electricity cost. WDSs with solar panels and batteries can greatly reduce the electricity cost by displacing the use of grid-based electricity with solar or stored energy, while also utilising water storage elements to allow selective pumping. A novel economic model predictive control (EMPC) scheme is proposed in this paper to facilitate optimal operation of pumps, batteries and solar panels in the WDSs. The proposed EMPC controller seeks to minimize the energy cost for water pumping while keeping the water levels in tanks and the battery state of charge within restricted limits. The EMPC is applied to an EPANET model of the Richmond Pruned Network, a Doyle Fuller Newman model of a lithium-ion battery, and simulated output from solar panels to to determine the efficacy of the proposed scheme.