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Reactive power compensation in electric arc furnaces using prediction intervals
journal contribution
posted on 2017-07-01, 00:00 authored by A Kavousi-Fard, Abbas KhosraviAbbas Khosravi, Saeid NahavandiThis paper proposes a probabilistic method to model the uncertainty of reactive power compensation by static VAr compensators (SVCs) in electric arc furnaces (EAFs). The time-varying characteristics of EAF accentuate the voltage fluctuations and produce flicker in power lines as well as neighboring loads. In order to solve this issue, quick and accurate response of SVC within a half-cycle ahead is required. This paper proposes a nonparametric approach based on lower upper bound estimation method to construct prediction intervals (PIs) for the reactive power in EAFs. Due to the nonlinear nature of reactive power signals in EAFs, a set of PIs are produced and combined to find an optimal aggregated PI. The proposed prediction method provides a faster-than-real-time monitoring of SVC, which aims at high speed and efficient reactive power compensation. In order to find the most satisfying PIs with high coverage probability and low average width, an optimization algorithm is developed to improve the training process of neural networks. The appropriate performance of the proposed method is examined on the practical data gathered from the Mobarakeh Steel Company, Iran.
History
Journal
IEEE transactions on industrial electronicsVolume
64Issue
7Pagination
5295 - 5304Publisher
Institute of Electrical and Electronics EngineersLocation
Piscataway, N.J.Publisher DOI
ISSN
0278-0046eISSN
1557-9948Language
engPublication classification
C1 Refereed article in a scholarly journalCopyright notice
2017, IEEEUsage metrics
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No categories selectedKeywords
Electric arc furnace (EAF)prediction interval (PI)reactive power compensationstatic VAr compensator (SVC)Probabilistic logicVoltage fluctuationsAutoregressive processesScience & TechnologyTechnologyAutomation & Control SystemsEngineering, Electrical & ElectronicInstruments & InstrumentationEngineeringALGORITHMMODEL
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