Utilization of Model Predictive Control to Improve Optimization-Simulation Models for Managing Water Transfer Systems: Case Study of Zarinehrood Water Transfer Line to Tabriz

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Javan Salehi M.; ZARGHAMI M.; KEIGHOBADI J.

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Paper Information

Journal: IRAN-WATER RESOURCES RESEARCH Year:2020 | Volume:15 | Issue:4 Page(s): 18-24

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Title

Utilization of Model Predictive Control to Improve Optimization-Simulation Models for Managing Water Transfer Systems: Case Study of Zarinehrood Water Transfer Line to Tabriz

Author(s)

Javan Salehi M. | ZARGHAMI M. | KEIGHOBADI J. | Issue Writer Certificate

Keywords

Model Predictive ControlQ1

Water Transfer LineQ1

SimulationQ3

OptimizationQ2

Linear Quadratic Integral Control AlgorithmQ1

Abstract

This paper studies the performance of Model Predictive Control (MPC) algorithm in improving the management of reservoirs in Water Transfer Line. MPC is an optimal modern control which due to its proper function against sudden disturbances has been developed for engineering control problems. One of the main capabilities of the predictive control algorithm is the prediction modeling of the system in Optimization function. This feature makes the designed controller for the system, with aware of the condition of system, in the future intervals, set the appropriate inputs to get the system’ s goals. In this research with using a predictive control algorithm while applying the constraints regarding reservoir and pump stations capacity, an optimal controller is designed for the Zarinehrood Water Transfer Line to Tabriz. This network contains a total pipe length of 180 kms with 24 branches which is known as the largest transfer line in the Middle East. In this research the designed controller has been solved for the two objective functions, maintaining the safety water in the reservoirs and reducing the fluctuations in the pump stations. To evaluate the predictive control algorithm performance, the results of the MPC were compared with operator data (observed) and another control method called Linear Quadratic Integral Control Algorithm (LQI). The obtained results show that the predictive control has been able to perform better than operator data and linear quadratic integral control. While yields high capability to satisfy all constraints while fluctuations in pumping stations have been decreased about 22% and the water in the reservoir tanks maintain the lowest error in the vicinity of the desired volume. Furthermore, the total amount of pumped water over the length of the transmission line has been decreased by 8% which indicates the better performance of the proposed controller.

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APA: Copy

Javan Salehi, M., ZARGHAMI, M., & KEIGHOBADI, J.. (2020). Utilization of Model Predictive Control to Improve Optimization-Simulation Models for Managing Water Transfer Systems: Case Study of Zarinehrood Water Transfer Line to Tabriz. IRAN-WATER RESOURCES RESEARCH, 15(4 ), 18-24. SID. https://sid.ir/paper/369990/en

Vancouver: Copy

Javan Salehi M., ZARGHAMI M., KEIGHOBADI J.. Utilization of Model Predictive Control to Improve Optimization-Simulation Models for Managing Water Transfer Systems: Case Study of Zarinehrood Water Transfer Line to Tabriz. IRAN-WATER RESOURCES RESEARCH[Internet]. 2020;15(4 ):18-24. Available from: https://sid.ir/paper/369990/en

IEEE: Copy

M. Javan Salehi, M. ZARGHAMI, and J. KEIGHOBADI, “Utilization of Model Predictive Control to Improve Optimization-Simulation Models for Managing Water Transfer Systems: Case Study of Zarinehrood Water Transfer Line to Tabriz,” IRAN-WATER RESOURCES RESEARCH, vol. 15, no. 4 , pp. 18–24, 2020, [Online]. Available: https://sid.ir/paper/369990/en

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