Optimal Operation of a Benchmark Simulation Model for Sewer Networks Using a Qualitative Distributed Model Predictive Control Algorithm

Abstract

This article presents a distributed model predictive control algorithm including fuzzy negotiation among subsystems and a dynamic setpoint generation method, applied to a simulated sewerage network. The methodology considers WWTP as an additional objective of control. To improve the performance of a DMPC using a hydraulic model for prediction, a more detailed model has been considered including suspended solids concentration (TSS). The results obtained with the proposed methodology have been validated on a benchmark simulation model for sewer systems developed to test and compare methodologies, showing good performance.

A review of pollution-based real-time modelling and control for sewage systems

“…The study compares five optimal control strategies using these metrics. Multiple pollutants [12] 2023 Simplified model Decentralised MPC + Fuzzy Distributed model predictive control algorithm including fuzzy negotiation among subsystems and a dynamic set-point generation method, applied to a simulated sewerage network using a hydraulic and water quality model for prediction. TSS …”