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WIDE project Davide Barcelli, Alberto Bemporad (UNISI) Vicen Puig, - - PowerPoint PPT Presentation
WIDE project Davide Barcelli, Alberto Bemporad (UNISI) Vicen Puig, - - PowerPoint PPT Presentation
WIDE project Davide Barcelli, Alberto Bemporad (UNISI) Vicen Puig, Gabriela Cembrano (UPC) Meritxell Minoves, Ramon Creus (AGBAR) MPC in Water Systems MPC in Water Systems PLIO: Centralized MPC Controller PLIO: Centralized MPC Controller
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PLIO: Centralized MPC Controller PLIO: Centralized MPC Controller
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PLIO DB
MONITORING MODE REPRODUCTION MODE SIMULATION MODE EDITOR MODE
NETWORK TOPOLOGY EDITION NETWORK PARAMETRIZATION MODEL EQUATIONS GENERATION SIMULATION PARAMETRIZATION DATABASE PREPARATION OFF-LINE OPTIMIZATION REPORT GENERATION MONITORING PARAMETRIZATION TELECONTROL CONNECTION ON-LINE OPTIMIZATION RESULTS VISUALIZATION
SCADA OPTIMIZER
PLIO Architecture PLIO Architecture
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Generate optimal control strategies using 24 hour horizon 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 ELYESO RESERVOIR 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 VARIABLES 75.000 EQUATIONS 60.000 RESTRICTIONS
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WIDE project WIDE 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 methods Partitioning 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-loop trajectory
x
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Optimization approach (2/3) Optimization approach (2/3)
fmove
i
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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 system Barcelona 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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Conclusions Conclusions
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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