Multi-scenario Model Predictive Control of Combined Sewer Overflows in Urban Drainage Networks

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Abstract

Urban drainage networks (UDN) are among the most vital infrastructures within the natural water cycle. The most widely applied Real Time Control (RTC) on these systems is Model Predictive Control (MPC), which typically incorporates transport time delays and the effect of disturbances explicitly in the objectives and in the constraints. One of the greatest challenges in the control of UDNs is to formulate multiple control criteria regarding the operational requirements. Furthermore, MPC also faces the challenge of handling uncertainty caused by disturbances, e.g. weather predictions. One way to incorporate the uncertainty in the decision making is to consider multiple scenarios, i.e. to generate different ensembles based on rain forecasts. To this end, we propose a Multi-scenario MPC (MS-MPC) approach, that deals with uncertainty in the expected inflow. First, a generic multi-objective MPC is established which deals with the time delays explicitly in the optimization. Then, this framework is extended to our formulation of the multiple scenario problem. The algorithm is verified through a case study by interfacing a high- fidelity simulator model of a sewer network as virtual reality.
Original languageEnglish
Title of host publication2020 IEEE Conference on Control Technology and Applications (CCTA)
Number of pages6
PublisherIEEE
Publication date28 Sep 2020
Pages1042-1047
ISBN (Print)978-1-7281-7141-8
ISBN (Electronic)978-1-7281-7140-1
DOIs
Publication statusPublished - 28 Sep 2020
Event2020 IEEE Conference on Control Technology and Applications (CCTA) - Montreal, Canada
Duration: 24 Aug 202026 Aug 2020

Conference

Conference2020 IEEE Conference on Control Technology and Applications (CCTA)
CountryCanada
CityMontreal
Period24/08/202026/08/2020

Keywords

  • multi-scenario
  • MPC
  • Urban Drainage Systems
  • Stochastic Process
  • ensemble
  • Mike Urban
  • Runoff
  • Flow (Dynamics)
  • Time delays
  • Transport delays
  • Uncertainty
  • Real Time Control

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