Comparative Application of Model Predictive Control and Particle Swarm Optimization in Optimum Operation of a Large-Scale Water Transfer System

Salehi, Maryam Javan; Shourian, Mojtaba

doi:10.1007/s11269-020-02755-6

Cited by 10 publications

(1 citation statement)

References 22 publications

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“…The experimental results show that the controller has high performance and strong robustness to various model uncertainties. Maryam Jaban Salehi et al [13] proposed a comparison of real-time control effects based on MPC and particle swarm optimization (PSO) algorithm in large open channels. The MPC model has a higher effect on multi-variable optimization than the PSO optimization algorithm, but the solution of the MPC algorithm model is more complex and requires higher accuracy.…”

Section: Introductionmentioning

confidence: 99%

Study of a Control Algorithm with the Disturbance of Massive Discharge on an Open Channel

Shen

Kang

Tao

et al. 2022

Water

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The diversion of large flows of water in open channels, which exceed safe water levels, into water storage systems is the focus of this paper. We focused upon the middle route of the South-to-North Water Transfer Project and the ancient canal gate 4 drainage pool. We estimated the water storage quantity and the amount of compensation this offered. We used the improved PID algorithm to the study 20 disturbance flow water pipe heads. The results show that the storage compensation algorithm can suppress the fluctuation of water level to a certain extent, but, for the disturbance caused by large flows, the maximum fluctuation of water level in front of Shahei sluice gate that the storage compensation control algorithm is capable of is more than 0.3 m, which is much larger than the water level constraint of the middle line channel pool, where the rate of the drop in water level should not exceed 0.15 m per hour. However, in the case of large flow disturbance, the variation of water level in front of all the control gates in the study area is not more than 0.1 m, which meets the severe water level constraint of the middle line project, and the water level control effect is good, which protects the operation safety of the canal pool.

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Section: Introductionmentioning

confidence: 99%

Study of a Control Algorithm with the Disturbance of Massive Discharge on an Open Channel

Shen

Kang

Tao

et al. 2022

Water

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Utilizing Matrix Completion for Simulation and Optimization of Water Distribution Networks

Housh

Jamal

2021

Water Resour Manage

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Simulation of Water Distribution Networks (WDNs) constitutes a key element for the planning and management of water supply systems. This simulation involves estimating the flows and pressures by solving a linear set of mass conservation equations and a nonlinear set of energy conservation equations. The literature presents different formulations of heads-flows equations to derive the flows and heads in WDN. These formulations differ in terms of dimensionality, computational cost, and solution accuracy. Whereas this problem has been the subject of active research in the past, in the last decades a state of stagnation was reached and no new formulations were introduced. In this study, we propose a novel formulation that utilizes a matrix completion technique to construct a reduced-size nonlinear system of equations that guarantees both mass and energy conservation. Unlike former formulations that rely on the

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Model Predictive Control of water resources systems: A review and research agenda

Castelletti

Ficchì

Cominola

et al. 2023

Annual Reviews in Control

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Comparative Application of Model Predictive Control and Particle Swarm Optimization in Optimum Operation of a Large-Scale Water Transfer System

Cited by 10 publications

References 22 publications

Study of a Control Algorithm with the Disturbance of Massive Discharge on an Open Channel

Study of a Control Algorithm with the Disturbance of Massive Discharge on an Open Channel

Utilizing Matrix Completion for Simulation and Optimization of Water Distribution Networks

Model Predictive Control of water resources systems: A review and research agenda

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