Control of Pumps of Water Supply Network under Hydraulic and Energy Optimisation Using Artificial Intelligence

Entropy (Basel). 2020 Sep 11;22(9):1014. doi: 10.3390/e22091014.

Abstract

This article presents several algorithms for controlling water supply system pumps. The aim of having control is the hydraulic optimisation of the network, i.e., ensuring the desired pressure in its recipient nodes, and minimising energy costs of network operation. These two tasks belong to the key issues related to the management and operation of water supply networks, apart from the reduction in water losses caused by network failures and ensuring proper water quality. The presented algorithms have been implemented in an Information and Communications Technology (ICT) system developed at the Systems Research Institute of the Polish Academy of Sciences (IBS PAN) and implemented in the waterworks GPW S.A. in Katowice/Poland.

Keywords: cost optimisation; fuzzy sets; genetic algorithm; hydraulic optimisation; pump control algorithms; water supply network.