Control of water distribution networks (WDNs) can be represented by an optimization problem with hydraulic models describing the nonlinear relationship between head loss, water flow, and demand. The problem is difficult to solve due to the non-convexity in the equations governing water flow. Previous methods used to obtain WDN controls (i.e., operational schedules for pumps and valves) have adopted simplified hydraulic models. One common assumption found in the literature is the modification of WDN topology to exclude loops and assume a known water flow direction. In this paper, we present a new geometric programming-based model predictive control approach, designed to solve the water flow equations and obtain WDN controls. The paper considers the nonlinear difference algebraic equation (DAE) form of the WDN dynamics, and the GP approach amounts to solving a series of convex optimization problems and requires neither the knowledge of water flow direction nor does it restrict the water network topology. A case study is presented to illustrate the performance of the proposed method.
@article{arxiv.1902.06026,
title = {Geometric Programming-Based Control for Nonlinear, DAE-Constrained Water Distribution Networks},
author = {Shen Wang and Ahmad F. Taha and Nikolaos Gatsis and Marcio Giacomoni},
journal= {arXiv preprint arXiv:1902.06026},
year = {2019}
}
Comments
To Appear in 2019 American Control Conference, July 10--12, Philadelphia, PA