An induction machine‐based drive system and supervisory control for application to smart water‐pumped storage and networks

Abstract The authors present an effective induction machine (IM) drive system and intelligent supervisory control for application to smart water‐pumped storage and networks. The main IM drive unit comprises reduced voltage starter, regenerative clutch/variable speed mode fluid coupling and reversibl...

Full description

Saved in:
Bibliographic Details
Main Authors: O. S. Ebrahim, M. A. Badr
Format: Article
Language:English
Published: Wiley 2024-12-01
Series:IET Electric Power Applications
Subjects:
Online Access:https://doi.org/10.1049/elp2.12440
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1850101563253587968
author O. S. Ebrahim
M. A. Badr
author_facet O. S. Ebrahim
M. A. Badr
author_sort O. S. Ebrahim
collection DOAJ
description Abstract The authors present an effective induction machine (IM) drive system and intelligent supervisory control for application to smart water‐pumped storage and networks. The main IM drive unit comprises reduced voltage starter, regenerative clutch/variable speed mode fluid coupling and reversible pump to allow bidirectional power flow. Under the wide umbrella of supervisory control, the following objectives are achieved: (1) Recurrent neural network (RNN) and RNN‐aided Kalman filter are proposed for wired and wireless sensor fault‐tolerant control of the plant based on Wald's likelihood ratio test. (2) Cheap fuzzy logic‐based availability assessment scheme is presented and deployed on cloud to arrange for preventive maintenance of the starter. (3) Robust energy saving mode decision‐making algorithm is developed for best energetic cost reduction. (4) Remote synchronisation method of multi‐motor starting with a mechanically switched capacitor is introduced to minimise voltage dip. Further, an auxiliary inverter fed pump unit is adopted to improve system availability and revenue. The validity and superiority of the proposed drive system and control are confirmed through theoretical analysis, computer simulations, cost study, efficiency evaluation and application example to a single‐pump water network during motor and generator operational modes using preliminary test results.
format Article
id doaj-art-2c3fc35a443043398c13d30cc011eb5b
institution DOAJ
issn 1751-8660
1751-8679
language English
publishDate 2024-12-01
publisher Wiley
record_format Article
series IET Electric Power Applications
spelling doaj-art-2c3fc35a443043398c13d30cc011eb5b2025-08-20T02:39:59ZengWileyIET Electric Power Applications1751-86601751-86792024-12-0118121921193810.1049/elp2.12440An induction machine‐based drive system and supervisory control for application to smart water‐pumped storage and networksO. S. Ebrahim0M. A. Badr1Faculty of Engineering Ain Shams University Cairo EgyptFuture University in Egypt New Cairo Cairo EgyptAbstract The authors present an effective induction machine (IM) drive system and intelligent supervisory control for application to smart water‐pumped storage and networks. The main IM drive unit comprises reduced voltage starter, regenerative clutch/variable speed mode fluid coupling and reversible pump to allow bidirectional power flow. Under the wide umbrella of supervisory control, the following objectives are achieved: (1) Recurrent neural network (RNN) and RNN‐aided Kalman filter are proposed for wired and wireless sensor fault‐tolerant control of the plant based on Wald's likelihood ratio test. (2) Cheap fuzzy logic‐based availability assessment scheme is presented and deployed on cloud to arrange for preventive maintenance of the starter. (3) Robust energy saving mode decision‐making algorithm is developed for best energetic cost reduction. (4) Remote synchronisation method of multi‐motor starting with a mechanically switched capacitor is introduced to minimise voltage dip. Further, an auxiliary inverter fed pump unit is adopted to improve system availability and revenue. The validity and superiority of the proposed drive system and control are confirmed through theoretical analysis, computer simulations, cost study, efficiency evaluation and application example to a single‐pump water network during motor and generator operational modes using preliminary test results.https://doi.org/10.1049/elp2.12440artificial intelligenceenergy savingfault tolerant controlinduction machineinternet of thingspower quality
spellingShingle O. S. Ebrahim
M. A. Badr
An induction machine‐based drive system and supervisory control for application to smart water‐pumped storage and networks
IET Electric Power Applications
artificial intelligence
energy saving
fault tolerant control
induction machine
internet of things
power quality
title An induction machine‐based drive system and supervisory control for application to smart water‐pumped storage and networks
title_full An induction machine‐based drive system and supervisory control for application to smart water‐pumped storage and networks
title_fullStr An induction machine‐based drive system and supervisory control for application to smart water‐pumped storage and networks
title_full_unstemmed An induction machine‐based drive system and supervisory control for application to smart water‐pumped storage and networks
title_short An induction machine‐based drive system and supervisory control for application to smart water‐pumped storage and networks
title_sort induction machine based drive system and supervisory control for application to smart water pumped storage and networks
topic artificial intelligence
energy saving
fault tolerant control
induction machine
internet of things
power quality
url https://doi.org/10.1049/elp2.12440
work_keys_str_mv AT osebrahim aninductionmachinebaseddrivesystemandsupervisorycontrolforapplicationtosmartwaterpumpedstorageandnetworks
AT mabadr aninductionmachinebaseddrivesystemandsupervisorycontrolforapplicationtosmartwaterpumpedstorageandnetworks
AT osebrahim inductionmachinebaseddrivesystemandsupervisorycontrolforapplicationtosmartwaterpumpedstorageandnetworks
AT mabadr inductionmachinebaseddrivesystemandsupervisorycontrolforapplicationtosmartwaterpumpedstorageandnetworks