Iterative Learning Pressure Control in Water Distribution Networks

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

Resumé

Proper management of pressure in water distribution networks is important, since leakages are more likely to occur if the pressure in the network is unnecessarily high with the consequence that the produced water is wasted. Furthermore, too low pressure will lead to reduced comfort of end-users and a potential increased risk of pollutants entering the network. In this paper, we investigate control actions for management of pressure in water distribution networks with multiple inlets. In particular, the problem of controlling the pressure at the network inlets to accommodate pressure requirements at designated network vertices, where the pressure is measured, is addressed. In this paper, we propose an Iterative Learning type control structure, as the behaviour of the consumers in water distribution networks is typically periodic in nature. Numerical and experimental results show that the proposed controller is able to fulfil the requirements.

OriginalsprogEngelsk
Titel2018 IEEE Conference on Control Technology and Applications (CCTA)
Antal sider6
ForlagIEEE
Publikationsdato2018
Sider583-588
Artikelnummer8511513
ISBN (Trykt)978-1-5386-7699-8
ISBN (Elektronisk)978-1-5386-7698-1
DOI
StatusUdgivet - 2018
Begivenhed2018 IEEE Conference on Control Technology and Applications (CCTA) - The Scandic Hotel Copenhagen, Copenhagen, Danmark
Varighed: 21 aug. 201824 aug. 2018

Konference

Konference2018 IEEE Conference on Control Technology and Applications (CCTA)
LokationThe Scandic Hotel Copenhagen
LandDanmark
ByCopenhagen
Periode21/08/201824/08/2018
NavnIEEE Conference on Control Technology and Applications (CCTA)

Fingerprint

Pressure control
Electric power distribution
Water
Controllers

Citer dette

Jensen, T. N., Kallesøe, C. S., Bendtsen, J. D., & Wisniewski, R. (2018). Iterative Learning Pressure Control in Water Distribution Networks. I 2018 IEEE Conference on Control Technology and Applications (CCTA) (s. 583-588). [8511513] IEEE. IEEE Conference on Control Technology and Applications (CCTA) https://doi.org/10.1109/CCTA.2018.8511513
Jensen, Tom Nørgaard ; Kallesøe, Carsten Skovmose ; Bendtsen, Jan Dimon ; Wisniewski, Rafal. / Iterative Learning Pressure Control in Water Distribution Networks. 2018 IEEE Conference on Control Technology and Applications (CCTA). IEEE, 2018. s. 583-588 (IEEE Conference on Control Technology and Applications (CCTA)).
@inproceedings{6a6fb42e143f4623b83c0dd9cdf08454,
title = "Iterative Learning Pressure Control in Water Distribution Networks",
abstract = "Proper management of pressure in water distribution networks is important, since leakages are more likely to occur if the pressure in the network is unnecessarily high with the consequence that the produced water is wasted. Furthermore, too low pressure will lead to reduced comfort of end-users and a potential increased risk of pollutants entering the network. In this paper, we investigate control actions for management of pressure in water distribution networks with multiple inlets. In particular, the problem of controlling the pressure at the network inlets to accommodate pressure requirements at designated network vertices, where the pressure is measured, is addressed. In this paper, we propose an Iterative Learning type control structure, as the behaviour of the consumers in water distribution networks is typically periodic in nature. Numerical and experimental results show that the proposed controller is able to fulfil the requirements.",
author = "Jensen, {Tom N{\o}rgaard} and Kalles{\o}e, {Carsten Skovmose} and Bendtsen, {Jan Dimon} and Rafal Wisniewski",
year = "2018",
doi = "10.1109/CCTA.2018.8511513",
language = "English",
isbn = "978-1-5386-7699-8",
series = "IEEE Conference on Control Technology and Applications (CCTA)",
publisher = "IEEE",
pages = "583--588",
booktitle = "2018 IEEE Conference on Control Technology and Applications (CCTA)",
address = "United States",

}

Jensen, TN, Kallesøe, CS, Bendtsen, JD & Wisniewski, R 2018, Iterative Learning Pressure Control in Water Distribution Networks. i 2018 IEEE Conference on Control Technology and Applications (CCTA)., 8511513, IEEE, IEEE Conference on Control Technology and Applications (CCTA), s. 583-588, 2018 IEEE Conference on Control Technology and Applications (CCTA), Copenhagen, Danmark, 21/08/2018. https://doi.org/10.1109/CCTA.2018.8511513

Iterative Learning Pressure Control in Water Distribution Networks. / Jensen, Tom Nørgaard; Kallesøe, Carsten Skovmose; Bendtsen, Jan Dimon; Wisniewski, Rafal.

2018 IEEE Conference on Control Technology and Applications (CCTA). IEEE, 2018. s. 583-588 8511513 (IEEE Conference on Control Technology and Applications (CCTA)).

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

TY - GEN

T1 - Iterative Learning Pressure Control in Water Distribution Networks

AU - Jensen, Tom Nørgaard

AU - Kallesøe, Carsten Skovmose

AU - Bendtsen, Jan Dimon

AU - Wisniewski, Rafal

PY - 2018

Y1 - 2018

N2 - Proper management of pressure in water distribution networks is important, since leakages are more likely to occur if the pressure in the network is unnecessarily high with the consequence that the produced water is wasted. Furthermore, too low pressure will lead to reduced comfort of end-users and a potential increased risk of pollutants entering the network. In this paper, we investigate control actions for management of pressure in water distribution networks with multiple inlets. In particular, the problem of controlling the pressure at the network inlets to accommodate pressure requirements at designated network vertices, where the pressure is measured, is addressed. In this paper, we propose an Iterative Learning type control structure, as the behaviour of the consumers in water distribution networks is typically periodic in nature. Numerical and experimental results show that the proposed controller is able to fulfil the requirements.

AB - Proper management of pressure in water distribution networks is important, since leakages are more likely to occur if the pressure in the network is unnecessarily high with the consequence that the produced water is wasted. Furthermore, too low pressure will lead to reduced comfort of end-users and a potential increased risk of pollutants entering the network. In this paper, we investigate control actions for management of pressure in water distribution networks with multiple inlets. In particular, the problem of controlling the pressure at the network inlets to accommodate pressure requirements at designated network vertices, where the pressure is measured, is addressed. In this paper, we propose an Iterative Learning type control structure, as the behaviour of the consumers in water distribution networks is typically periodic in nature. Numerical and experimental results show that the proposed controller is able to fulfil the requirements.

UR - https://ieeexplore.ieee.org/document/8511513

U2 - 10.1109/CCTA.2018.8511513

DO - 10.1109/CCTA.2018.8511513

M3 - Article in proceeding

SN - 978-1-5386-7699-8

T3 - IEEE Conference on Control Technology and Applications (CCTA)

SP - 583

EP - 588

BT - 2018 IEEE Conference on Control Technology and Applications (CCTA)

PB - IEEE

ER -

Jensen TN, Kallesøe CS, Bendtsen JD, Wisniewski R. Iterative Learning Pressure Control in Water Distribution Networks. I 2018 IEEE Conference on Control Technology and Applications (CCTA). IEEE. 2018. s. 583-588. 8511513. (IEEE Conference on Control Technology and Applications (CCTA)). https://doi.org/10.1109/CCTA.2018.8511513