Designing an Intelligent Control Philosophy in Reservoirs of Water Transfer Networks in Supervisory Control and Data Acquisition System Stations

doi:10.1007/s11633-021-1284-1

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	Designing an Intelligent Control Philosophy in Reservoirs of Water Transfer Networks in Supervisory Control and Data Acquisition System Stations
	Ali Dolatshahi Zand, Kaveh Khalili-Damghani, Sadigh Raissi
发表期刊	International Journal of Automation and Computing
ISSN	1476-8186
	2021
卷号	18 期号:5 页码:694-717
摘要	In this paper, a hybrid neural-genetic fuzzy system is proposed to control the flow and height of water in the reservoirs of water transfer networks. These controls will avoid probable water wastes in the reservoirs and pressure drops in water distribution networks. The proposed approach combines the artificial neural network, genetic algorithm, and fuzzy inference system to improve the performance of the supervisory control and data acquisition stations through a new control philosophy for instruments and control valves in the reservoirs of the water transfer networks. First, a multi-core artificial neural network model, including a multi-layer perceptron and radial based function, is proposed to forecast the daily consumption of the water in a reservoir. A genetic algorithm is proposed to optimize the parameters of the artificial neural networks. Then, the online height of water in the reservoir and the output of artificial neural networks are used as inputs of a fuzzy inference system to estimate the flow rate of the reservoir inlet. Finally, the estimated inlet flow is translated into the input valve position using a transform control unit supported by a nonlinear autoregressive exogenous model. The proposed approach is applied in the Tehran water transfer network. The results of this study show that the usage of the proposed approach significantly reduces the deviation of the reservoir height from the desired levels.
关键词	Water demand forecasting water transfer network supervisory control and data acquisition water management, multi-core artificial neural network, fuzzy inference system
DOI	10.1007/s11633-021-1284-1
引用统计	被引频次：4[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/45458
专题	学术期刊_Machine Intelligence Research
作者单位	Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran 1151863411, Iran
推荐引用方式 GB/T 7714	Ali Dolatshahi Zand, Kaveh Khalili-Damghani, Sadigh Raissi. Designing an Intelligent Control Philosophy in Reservoirs of Water Transfer Networks in Supervisory Control and Data Acquisition System Stations[J]. International Journal of Automation and Computing,2021,18(5):694-717.
APA	Ali Dolatshahi Zand, Kaveh Khalili-Damghani, Sadigh Raissi.(2021).Designing an Intelligent Control Philosophy in Reservoirs of Water Transfer Networks in Supervisory Control and Data Acquisition System Stations.International Journal of Automation and Computing,18(5),694-717.
MLA	Ali Dolatshahi Zand, Kaveh Khalili-Damghani, Sadigh Raissi."Designing an Intelligent Control Philosophy in Reservoirs of Water Transfer Networks in Supervisory Control and Data Acquisition System Stations".International Journal of Automation and Computing 18.5(2021):694-717.

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