@article{Wright:2015:10.1002/2015WR017466, author = {Wright, R and Abraham, E and Parpas, P and Stoianov, I}, doi = {10.1002/2015WR017466}, journal = {Water Resources Research}, pages = {9925--9941}, title = {Control of water distribution networks with dynamic DMA topology using strictly feasible sequential convex programming}, url = {http://dx.doi.org/10.1002/2015WR017466}, volume = {51}, year = {2015} }
TY - JOUR AB - The operation of water distribution networks (WDN) with a dynamic topology is a recently pioneered approach for the advanced management of district metered areas (DMA) that integrates novel developments in hydraulic modelling, monitoring, optimization and control. A common practice for leakage management is the sectorization of WDNs into small zones, called DMAs, by permanently closing isolation valves. This facilitates water companies to identify bursts and estimate leakage levels by measuring the inlet flow for each DMA. However, by permanently closing valves, a number of problems have been created including reduced resilience to failure and suboptimal pressure management. By introducing a dynamic topology to these zones, these disadvantages can be eliminated whilst still retaining the DMA structure for leakage monitoring. In this paper, a novel optimization method based on sequential convex programming (SCP) is outlined for the control of a dynamic topology with the objective of reducing average zone pressure (AZP). A key attribute for control optimization is reliable convergence. To achieve this, the SCP method we propose guarantees that each optimization step is strictly feasible, resulting in improved convergence properties. By using a null space algorithm for hydraulic analyses, the computations required are also significantly reduced. The optimized control is actuated on a real WDN operated with a dynamic topology. This unique experimental programme incorporates a number of technologies set up with the objective of investigating pioneering developments in WDN management. Preliminary results indicate AZP reductions for a dynamic topology of up to 6.5% over optimally controlled fixed topology DMAs. AU - Wright,R AU - Abraham,E AU - Parpas,P AU - Stoianov,I DO - 10.1002/2015WR017466 EP - 9941 PY - 2015/// SN - 0043-1397 SP - 9925 TI - Control of water distribution networks with dynamic DMA topology using strictly feasible sequential convex programming T2 - Water Resources Research UR - http://dx.doi.org/10.1002/2015WR017466 UR - https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2015WR017466 UR - http://hdl.handle.net/10044/1/28220 VL - 51 ER -
Transition to Zero Pollution is a flagship initiative of the Imperial's Academic Strategy, with a vision to realise a sustainable zero pollution future. The initiative brings researchers from different disciplines together to take a systems approach to tackling pollution in all its forms.