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Your search keyword '"Lee, Jong-Uk"' showing total 9 results
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9 results on '"Lee, Jong-Uk"'

4. Probabilistic modeling of electric vehicle charging load for probabilistic load flow.

Author

Seongbae Kong, Hyung-Chul Cho, Lee, Jong-Uk, and Sung-Kwan Joo

Abstract

With an increasing concern about environmental pollution and rising price of fossil fuels, electric vehicles (EVs) are becoming an important alternative energy source in a transportation sector. A rapid deployment of EVs may have significant impacts on demand for electricity in a power system. Also, a large-scale deployment of EVs can introduce greater uncertainty in EV charging patterns and loads. This paper presents a Stratified Latin Hypercube Sampling (SLHS)-based probabilistic load flow (PLF) method incorporating electric vehicle charging load. In this paper, probabilistic EV charging load is modeled by using the EV penetration level, hourly traffic patterns, and EV charging scenarios. The Monte Carlo Simulation (MCS)-based PLF requires a significant amount of computation time to obtain accurate results. In this paper, SLHS technique is also applied to reduce the computation time of the PLF. A numerical example is presented to show the performance of the proposed method. [ABSTRACT FROM PUBLISHER]

Published
2012
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9. Electric vehicle charging method for smart homes/buildings with a photovoltaic system.

Author

Wi, Young-Min, Lee, Jong-Uk, and Joo, Sung-Kwan

Subjects
*ELECTRIC vehicles, *BATTERY chargers, *PHOTOVOLTAIC cells, *SMART power grids, *COMPUTER scheduling, *ALGORITHMS
Abstract

Due to the increased penetration of electric vehicles (EVs) and photovoltaic (PV) systems, additional application for home/building energy management system (EMS) is needed to determine when and how much to charge an electric vehicle in an individual home/building. This paper presents a smart EV charging method for smart homes/buildings with a PV system. The paper consists of two parts: EV charging scheduling algorithm for smart homes/buildings and implementation of prototype application for home/building EMS. The proposed EV charging algorithm is designed to determine the optimal schedules of EV charging based on predicted PV output and electricity consumption. The implemented prototype application for home/building EMS can provide EV charging schedules according to user preferences. Numerical results are provided to demonstrate the effectiveness of the proposed smart EV charging method. [ABSTRACT FROM PUBLISHER]

Published
2013
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