wide project davide barcelli, alberto bemporad (unisi) vicenç...
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![Page 1: WIDE project Davide Barcelli, Alberto Bemporad (UNISI) Vicenç …cse.lab.imtlucca.it/hybrid/wide/Slides/Kickoff WIDE UPC... · 2014. 4. 23. · Meritxell Minoves, Ramon Creus (AGBAR)](https://reader033.vdocuments.site/reader033/viewer/2022051809/6011d7f3f8758649fa275de6/html5/thumbnails/1.jpg)
WIDE project
Davide Barcelli, Alberto Bemporad (UNISI)Vicenç Puig, Gabriela Cembrano (UPC)
Meritxell Minoves, Ramon Creus (AGBAR)
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MPC in Water SystemsMPC in Water Systems
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PLIO: Centralized MPC ControllerPLIO: Centralized MPC Controller
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PLIODB
MONITORING MODEREPRODUCTIONMODE
SIMULATION MODEEDITOR MODE
NETWORK TOPOLOGY EDITION
NETWORKPARAMETRIZATION
MODEL EQUATIONSGENERATION
SIMULATIONPARAMETRIZATION
DATABASE PREPARATION
OFF-LINEOPTIMIZATION
REPORT GENERATION
MONITORINGPARAMETRIZATION
TELECONTROL CONNECTION
ON-LINEOPTIMIZATION
RESULTSVISUALIZATION
SCADAOPTIMIZER
PLIO ArchitecturePLIO Architecture
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Generate optimal control strategies using 24 hourhorizon for...
Reservoirs
Valves
Treatment Plants
Pumps
Gates
PLIO Operation (1)PLIO Operation (1)
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Taking into account...
Network state
Hidraulic restrictions
Transport delays
Operational restrictions
Demand Forecasts
PLIO Operation (2)PLIO Operation (2)
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PLIO real case study: Santiago de Chile
SANTIAGO CITY
THIRD AQUEDUCT
LAGUNA NEGRA AQUEDUCT
PARALLEL AQUEDUCT
MAIPO RIVER
YESO RIVER
MAIPO RIVER
ELYESORESERVOIR
LAGUNA NEGRA AQUEDUCT
LAGUNA NEGRA LAKE
LO ENCAÑADO LAKE
RIVER INTAKE
VIZCACHAS, VIZCACHITAS & TAGLE PLANTS
FLORIDA PLANT
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Supply network
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Production network
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Transport network
75.000 VARIABLES75.000 EQUATIONS60.000 RESTRICTIONS
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WIDE projectWIDE project
WIDE aims at developing a novel rigorous and integrated framework for advanced control and real‐time optimization of large‐scale and spatially distributed processes that exploits wireless sensor networks as a pervasive and highly reconfigurable information gathering system, and at validating the approach on a real city water distribution system.
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Distributed MPC (1/3)Distributed MPC (1/3)
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Distributed MPC (2/3)Distributed MPC (2/3)
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Distributed MPC (3/3)Distributed MPC (3/3)
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Partitioning methodsPartitioning methods
Optimization approach
Sensitivity approach
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Optimization approach (1/3)Optimization approach (1/3)
DMPC controller closed-loop trajectory
ˆ x
CMPC controller closed-looptrajectory
x
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Optimization approach (2/3)Optimization approach (2/3)
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Optimization approach (3/3)Optimization approach (3/3)Complexity Reduction
LQR controller
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Sensitivity approach (1/3)Sensitivity approach (1/3)
Mtot = A B[ ]mi, j ∈ Mtot
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Sensitivity approach (2/3)Sensitivity approach (2/3)
Prefiltering
Magnitude
Correlation
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Sensitivity approach (3/3)Sensitivity approach (3/3)
Utility function
Element magnitude
Usage
Mixed
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Barcelona water systemBarcelona water system
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Barcelona DMPC case study (1/3)Barcelona DMPC case study (1/3)
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Barcelona DMPC case study (2/3)Barcelona DMPC case study (2/3)
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Barcelona DMPC case study (3/3)Barcelona DMPC case study (3/3)
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ConclusionsConclusions
Previous experience/tools on centralized MPC of water networks have been presented. A Barcelona case study to be in the framework of the WIDE project is presented.A automatic partitioning algorithm to identify the subsystems of a large scale system has been presented. Preliminary results in the proposed Barcelona case study are promising.
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Future worksFuture works
Propose the defined case study a the one to be used in the context of WIDE project trying to add/complete those aspects that make it more interesting
Further validation of the partitioning algorithm
Improvement of PLIO tool to include the partioning algorithm and to allow DMPC