Prof. Dr. Gilsoo Jang
Korea University
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Academic Career Length
29Years (1998-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications31 January 2005 in IEEE Transactions on Power Systems
Journal Article
KSKyung-Bin Song
Kyung-Bin Song
YBYoung-Sik Baek
Young-Sik Baek
DHDug Hun Hong
Dug Hun Hong
Gilsoo JangAverage load forecasting errors for the holidays are much higher than those for weekdays. So far, many studies on the short-term load forecasting have been made to improve the prediction accuracy using various methods such as deterministic, stochastic, artificial neural net (ANN) and neural network-fuzzy methods. In order to reduce the load forecasting error of the 24 hourly loads for the holidays, the concept of fuzzy regression analysis is employed in the short-term load forecasting problem. According to the historical load data, the same type of holiday showed a similar trend of load profile as in previous years. The fuzzy linear regression model is made from the load data of the previous three years and the coefficients of the model are found by solving the mixed linear programming problem. The proposed algorithm shows good accuracy, and the average maximum percentage error is 3.57% in the load forecasting of the holidays for the years of 1996-1997.
11 December 2009 in IEEE Transactions on Power Delivery
Journal Article
Recently, many signal-processing techniques, such as fast Fourier transform, short-time Fourier transform, wavelet transform (WT), and wavelet packet transform (WPT), have been applied to detect, identify, and classify power-quality (PQ) disturbances. For research on PQ analysis, it is critical to apply the appropriate signal-processing techniques to solve PQ problems. In this paper, a new time-frequency analysis method, namely, the Gabor-Wigner transform (GWT), is introduced and applied to detect and identify PQ disturbances. Since GWT is an operational combination of the Gabor transform (GT) and the Wigner distribution function (WDF), it can overcome the disadvantages of both. GWT has two advantages which are that it has fewer cross-term problems than the WDF and higher clarity than the GT. Studies are presented which verify that the merits of GWT make it adequate for PQ analysis. In the case studies considered here, the various PQ disturbances, including voltage swell, voltage sag, harmonics, interharmonics, transients, voltage changes with multiple frequencies and voltage fluctuation, or flicker, will be thoroughly investigated by using this new time-frequency analysis method.
20 April 2009
Book
CKChan‐Ki Kim
Chan‐Ki Kim
VSVijay K. Sood
Vijay K. Sood
Gilsoo JangSLSeong‐Joo Lim
Seong‐Joo Lim
SLSeok‐Jin Lee
Seok‐Jin Lee
Click on the title to browse this book
27 March 2006 in IEEE Transactions on Power Delivery
Journal Article
This paper presents a harmonic analysis model for the Korean high-speed railway. Since the harmonic current flows through the catenary system, the catenary system must be modeled exactly to analyze harmonic current amplifications and the total harmonic distortion. In the present work, the line constants of five conductors in the catenary system were calculated by the reduction method, and each subsystem, which consisted of the Korean high-speed railway system, was modeled by the eight-port representation. Simulation results using the proposed model were compared to field test data of the Korean high-speed railway system, and the accuracy of the harmonic analysis model was verified. Also, the harmonic characteristics of the Korean high-speed railway system are presented.
10 August 2012 in IEEE Transactions on Power Electronics
Journal Article
GBGilsung Byeon
Gilsung Byeon
TYTaeyoung Yoon
Taeyoung Yoon
SOSeaseung Oh
Seaseung Oh
Gilsoo JangIn this paper, a new energy management strategy (EMS) for a dc distribution system in buildings is being proposed. The dc distribution system is considered as a prospective system according to the increase of dc loads and dc output type distribution energy resources (DERs) such as photovoltaic (PV) systems and fuel cells. Since the dc distribution system has many advantages such as feasible connection of DERs and electric vehicles (EVs), reduction of conversion losses between dc output sources and loads, no reactive power issues, it is very suitable for industrial and commercial buildings interfaced with DERs and EVs. The establishment of an appropriate EMS based on the economic point of view can reduce energy costs of buildings and provide benefits to participants in energy management. Applicable elements for the dc distribution system are identified and the real-time decision-making-based algorithm for minimizing operating costs is proposed in this paper. The EV service model for the EMS to offer incentive to EV owners who participate in battery discharging is described. To verify the performances of the proposed algorithm, computer simulation and economic analysis are being performed where the results show that the proposed EMS reduces energy costs, motivates EV owners, and can be applied to the dc distribution buildings.
9 March 2016 in IEEE Transactions on Energy Conversion
Journal Article
JLJinsik Lee
Jinsik Lee
Gilsoo JangEMEduard Muljadi
Eduard Muljadi
Frede Blaabjerg
Zhe ChenYKYong Cheol Kang
Yong Cheol Kang
For the fixed-gain inertial control of wind power plants (WPPs), a large gain setting provides a large contribution to supporting system frequency control, but it may cause over-deceleration for a wind turbine generator that has a small amount of kinetic energy (KE). Further, if the wind speed decreases during inertial control, even a small gain may cause over-deceleration. This paper proposes a stable inertial control scheme using adaptive gains for a doubly fed induction generator (DFIG)-based WPP. The scheme aims to improve the frequency nadir (FN) while ensuring stable operation of all DFIGs, particularly when the wind speed decreases during inertial control. In this scheme, adaptive gains are set to be proportional to the KE stored in DFIGs, which is spatially and temporally dependent. To improve the FN, upon detecting an event, large gains are set to be proportional to the KE of DFIGs; to ensure stable operation, the gains decrease with the declining KE. The simulation results demonstrate that the scheme improves the FN while ensuring stable operation of all DFIGs in various wind and system conditions. Further, it prevents over-deceleration even when the wind speed decreases during inertial control.
About Me
Gilsoo Jang’s interests lie in power-system dynamics and controls, application of power electronics to power systems, and grid integration of renewable-energy resources. From its launch in 2000, his research group has focused on the field of power systems, while securing more than 100 related research grants.
Dr. Jang received his BE and MS from the Department of Electrical Engineering, Korea University, Korea and a doctoral degree in Electrical Engineering from Iowa State University, USA. He was a visiting scientist in the Department of Electrical and Computer Engineering, Iowa State University, a senior researcher at Korea Electric Power Research Institute, Korea, and a visiting professor in the Department of Electrical Engineering, Cornell University, USA.
Dr. Jang has been a professor in the School of Electrical Engineering, Korea University since 2000. Within the university, he has held several senior leadership positions such as Vice President for Planning and Budget. Prior to this position, he was an associate dean of the College of Engineering and the Dean of the School of Electrical Engineering. He was selected as one of the World’s Top 2% Scientists by Stanford University (2023). In 2023, he received an Engineering Research Center grant from the National Research Foundation of Korea to establish and serve as the founding director of the Resilient Autonomous Grid Research Center.