Novel Segmentation Technique for Measured Three-Phase Voltage Dips
Isabel M. Moreno-Garcia,
Antonio Moreno-Munoz,
Aurora Gil- de-Castro,
Math Bollen and
Irene Y. H. Gu
Additional contact information
Isabel M. Moreno-Garcia: Electronic Technology Area, University of Cordoba, Cordoba 14002, Spain
Antonio Moreno-Munoz: Electronic Technology Area, University of Cordoba, Cordoba 14002, Spain
Aurora Gil- de-Castro: Electronic Technology Area, University of Cordoba, Cordoba 14002, Spain
Math Bollen: Electric Power Engineering, Department of Engineering Sciences and Mathematics, Luleå University of Technology, Skellefteå 931 87, Sweden
Irene Y. H. Gu: Department of Signals and Systems, Chalmers University of Technology, Göteborg 412 58, Sweden
Energies, 2015, vol. 8, issue 8, 1-20
Abstract:
This paper focuses on issues arising from the need to automatically analyze disturbances in the future (smart) grid. Accurate time allocation of events and the sequences of events is an important part of such an analysis. The performance of a joint causal and anti-causal (CaC) segmentation method has been analyzed with a set of real measurement signals, using an alternative detection technique based on a cumulative sum (CUSUM) algorithm. The results show that the location in time of underlying transitions in the power system can be more accurately estimated by combining CaC segmentation methods.
Keywords: electric power distribution; electric power transmission; power quality (PQ); smart grids; cumulative sum (CUSUM); voltage-dip (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:8:y:2015:i:8:p:8319-8338:d:53784
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