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Model Prediction Control For Water Management Using Adaptive Prediction Accuracy

Title: Model Prediction Control For Water Management Using Adaptive Prediction Accuracy
Authors: Tian, Xin; Negenborn, Rudy; van Overloop, Peter-Jules; Mostert, Erik
Source: International Conference on Hydroinformatics
Publisher Information: CUNY Academic Works
Publication Year: 2014
Collection: City University of New York: CUNY Academic Works
Subject Terms: 2014 International Conference on Hydroinformatics HIC; Optimizing Short Term Reservoir Operations; model predictive control; Water management; Dutch water system; drought management; S7-01; Special Session Optimizing Short Term Reservoir Operations I; Environmental Sciences; Physical Sciences and Mathematics; Water Resource Management
Description: In the field of operational water management, Model Predictive Control (MPC) has gained popularity owing to its versatility and flexibility. The MPC controller, which takes predictions, time delay and uncertainties into account, can be designed for multi-objective management problems and for large-scale systems. Nonetheless, a critical obstacle, which needs to be overcome in MPC, is the large computational burden when a large-scale system is considered or a long prediction horizon is involved. In order to solve this problem, we use an adaptive prediction accuracy (APA) approach that can reduce the computational burden almost by half. The proposed MPC scheme with this scheme is tested on the northern Dutch water system, which comprises Lake IJssel, Lake Marker, the River IJssel and the North Sea Canal. The simulation results show that by using the MPC-APA scheme, the computational time can be reduced to a large extent and a flood protection problem over longer prediction horizons can be well solved.
Document Type: conference object
File Description: application/pdf
Language: English
Relation: https://academicworks.cuny.edu/cc_conf_hic/52; https://academicworks.cuny.edu/context/cc_conf_hic/article/1051/viewcontent/1183.pdf
Availability: https://academicworks.cuny.edu/cc_conf_hic/52; https://academicworks.cuny.edu/context/cc_conf_hic/article/1051/viewcontent/1183.pdf
Accession Number: edsbas.FC7D3944
Database: BASE