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Yong Cheol Kang
Researcher at Yonsei University
Publications - 142
Citations - 2937
Yong Cheol Kang is an academic researcher from Yonsei University. The author has contributed to research in topics: Wind power & Fault (power engineering). The author has an hindex of 26, co-authored 139 publications receiving 2448 citations. Previous affiliations of Yong Cheol Kang include Chonbuk National University & Gachon University.
Papers
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Short-term load forecasting for special days in anomalous load conditions using neural networks and fuzzy inference method
TL;DR: The purpose of this paper is to propose a new short-term load forecasting method for special days in anomalous load conditions, which uses a hybrid approach of ANN based technique and fuzzy inference method to forecast the hourly loads of special days.
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Releasable Kinetic Energy-Based Inertial Control of a DFIG Wind Power Plant
TL;DR: In this paper, a releasable kinetic energy (KE)-based gain scheme was proposed for a doubly fed induction generator (DFIG) WPP that differentiates the contributions of the WTGs depending on their stored KE.
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Fourier Transform-Based Modified Phasor Estimation Method Immune to the Effect of the DC Offsets
TL;DR: In this paper, a Fourier transform-based modified phasor estimation method is proposed to eliminate the adverse influence of the exponentially decaying dc offsets when discrete Fourier Transform (DFT) is used to calculate the PHASOR of the fundamental frequency component in a relaying signal.
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Dynamic Droop–Based Inertial Control of a Doubly-Fed Induction Generator
TL;DR: In this article, a dynamic droop-based inertial control scheme of a doubly-fed induction generator (DFIG) is proposed to improve the frequency nadir (FN) and ensure stable operation of a DFIG.
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An Algorithm for Compensating Secondary Currents of Current Transformers
TL;DR: In this paper, a technique of estimating the secondary current corresponding to the current transformer ratio under current transformer saturation was proposed to improve the sensitivity of relays to low level internal faults.