LAPSE:2023.24415
Published Article
LAPSE:2023.24415
Condition-Monitoring System for Identification and Representation of the Capability Diagram Limits for Multiple Synchronous Generators in a Hydro Power-Plant
Boris Glavan, Zlatko Hanić, Marinko Kovačić, Mario Vražić
March 28, 2023
This paper presents an experience in the design and implementation of the condition-monitoring system for the synchronous generators whose primary purpose is to record data for the identification of the capability limits of the P−Q diagram of three generators in hydro power-plant. Paper presents details about the monitoring system, the underlying theory of the identification of the synchronous generator model with a focus on the calculation of the capability limits in the P−Q diagram. Furthermore, a computationally efficient method for the representation of capability limits suitable for the implementation within the industrial automation and control system of the power-plant is described in detail. Finally, the capability diagrams for three generators were implemented in the power-plant supervisory control and data acquisition system (SCADA) system.
Keywords
data-based techniques, hydro power-plant, model-based techniques, operational limits, P–Q diagram, synchronous generator
Suggested Citation
Glavan B, Hanić Z, Kovačić M, Vražić M. Condition-Monitoring System for Identification and Representation of the Capability Diagram Limits for Multiple Synchronous Generators in a Hydro Power-Plant. (2023). LAPSE:2023.24415
Author Affiliations
Glavan B: HEP-Proizvodnja d.o.o., Hydro Power Plant Vinodol, Sušik 15, 51243 Tribalj, Croatia
Hanić Z: Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, 10000 Zagreb, Croatia
Kovačić M: Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, 10000 Zagreb, Croatia
Vražić M: Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, 10000 Zagreb, Croatia
Journal Name
Energies
Volume
13
Issue
15
Article Number
E3800
Year
2020
Publication Date
2020-07-24
Published Version
ISSN
1996-1073
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Original Submission
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PII: en13153800, Publication Type: Journal Article
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LAPSE:2023.24415
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doi:10.3390/en13153800
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Mar 28, 2023
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