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Dive into the research topics where Kyeonghee Cho is active.

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Featured researches published by Kyeonghee Cho.


ieee international conference on probabilistic methods applied to power systems | 2010

Probabilistic reliability evaluation of composite power systems including wind turbine generators

Jaeseok Choi; Jeongje Park; Kyeonghee Cho; Taegon Oh; Mohammad Shahidehpour

This paper proposes a new methodology for evaluating the probabilistic reliability of a grid constrained composite power system including wind turbine generators(WTG). The proposed model can consider capacity limitations and transmission line forced outage rates. The importance of renewable energy sources has been growing at a high rate as a result of being environment friendly. In particular, wind energy is one of the most successfully utilized such source to produce electrical energy. The random nature of wind speed can be incorporated in the evaluation by representing the WTG by multi state models. A simple case study shows in detail how it is used to perform a reliability evaluation study in proposed model.


Journal of Electrical Engineering & Technology | 2012

Probabilistic Reliability Based Grid Expansion Planning of Power System Including Wind Turbine Generators

Kyeonghee Cho; Jeongje Park; Jaeseok Choi

This paper proposes a new methodology for evaluating the probabilistic reliability based grid expansion planning of composite power system including the Wind Turbine Generators. The proposed model includes capacity limitations and uncertainties of the generators and transmission lines. It proposes to handle the uncertainties of system elements (generators, lines, transformers and wind resources of WTG, etc.) by a Composite power system Equivalent Load Duration Curve (CMELDC)-based model considering wind turbine generators (WTG). The model is derived from a nodal equivalent load duration curve based on an effective nodal load model including WTGs. Several scenarios are used to choose the optimal solution among various scenarios featuring new candidate lines. The characteristics and effectiveness of this simulation model are illustrated by case study using Jeju power system in South Korea.


Journal of International Council on Electrical Engineering | 2011

Probabilistic Reliability Evaluation of Composite Power Systems Including Wind Turbine Generators

Kyeonghee Cho; Jeongje Park; Taegon Oh; Jaeseok Choi; Seongeun Hong; Mohammad Shahidehpour

AbstractThis paper proposes a new methodology for evaluating the probabilistic reliability of a grid constrained composite power system including wind turbine generators(WTG). The proposed model can consider capacity limitations and transmission line forced outage rates. The importance of renewable energy sources has been growing at a high rate as a result of being environment friendly. In particular, wind energy is one of the most successfully utilized such source to produce electrical energy. The random nature of wind speed can be incorporated in the evaluation by representing the WTG by multi state models. A simple case study shows in detail how it is used to perform a reliability evaluation study in proposed model.


international midwest symposium on circuits and systems | 2011

A study on wind speed prediction using artificial neural network at Jeju Island in Korea II

Fengming Zhang; Kyeonghee Cho; Jaeseok Choi; Young-Mi Lee; Kwang Y. Lee

Wind power is one of the most successfully utilized of renewable sources to produce electrical energy. The available wind energy depends on the wind speed, which is a random variable. For the wind-farm operator, this poses difficulty in the system scheduling and energy dispatching, as the schedule of the wind-power availability is not known in advance. This paper proposes to use the two-layered artificial neural networks for predicting the actual wind speed from the previous values of the same variable.


ieee pes innovative smart grid technologies conference | 2010

Web based online realtime information system for reliability of composite power system including wind turbine generators

Jaeseok Choi; Jeongje Park; Kyeonghee Cho; Taeho Song; Junmin Cha

This paper proposes a new methodology for evaluating the probabilistic reliability of a grid constrained composite power system including wind turbine generators(WTG). The proposed model can consider capacity limitations and transmission line forced outage rates. The importance of renewable energy sources has been growing at a high rate as a result of being environment friendly. In particular, wind energy is one of the most successfully utilized such source to produce electrical energy. The random nature of wind speed can be incorporated in the evaluation by representing the WTG by multi state models. Furthermore, web based online real-time reliability integrated information system (WORRIS) was developed with the proposed methodology in this paper. This paper describes architecture of the WORRIS Version 1.0 system developed preliminarily in this study. It is originally a reliability information system based one day go ahead system.


power and energy society general meeting | 2011

Probabilistic reliability criterion for expansion planning of grids including wind turbine generators

Kyeonghee Cho; Jeongje Park; Taegon Oh; Jaeseok Choi; A.A. El-Keib; Mohammad Shahidehpour

This paper describes an alternative method, derived from a simulation model, for expansion planning for grids considering wind turbine generators in a composite power system. The proposed model includes capacity limitations and uncertainties of the generators and transmission lines. It proposes to handle the uncertainties of system elements (generators, lines, transformers and wind resources of WTG, etc.) by a Composite power system Equivalent Load Duration Curve (CMELDC)-based model considering wind turbine generators (WTG). The model is derived from a nodal equivalent load duration curve based on an effective nodal load model including WTGs. A heuristic scenario is used to choose the optimal solution among various scenarios featuring new candidate lines. The characteristics and effectiveness of this simulation model are illustrated by several case studies using an 8-bus test system.


ieee international conference on probabilistic methods applied to power systems | 2010

Evaluation of economic impacts of wind turbine and solar cell generators on power system considering CO 2 emission

Jeongje Park; Kyeonghee Cho; Taegon Oh; Jaeseok Choi; A.A. El-Keib

Renewable energy resources such as wind, wave, solar, micro hydro, tidal and biomass among others are becoming more important because of increasingly restricted environmental constraints. This paper develops an algorithm for probabilistic reliability and production cost credit evaluation of a power system added wind turbine(WTG) and solar cell generators (SCG) with multi-state considering CO2 emission. While a two-state model is well suited for modeling conventional generators, a multi-state model is needed for modeling wind turbine and solar cell generators due to the random variation of wind speed and solar radiation. This paper presents a method suited for the purpose of reliability and production cost evaluation study on a power system with wind turbine or solar cell generators. Test results indicate the viability of the method.


power and energy society general meeting | 2010

Grid constrained probabilistic reliability evaluation of power systems including wind turbine generator

Jaeseok Choi; Jeongje Park; Kyeonghee Cho; Mohammad Shahidehpour; R. Billinton

This paper proposes a new methodology for evaluating the probabilistic reliability of grid constrained composite power system including the WTG. The proposed model can consider capacity limitation and forced outage rate of transmission line. The importance of renewable energy sources has been growing at a high rate as a result of being environment friendly. In particular, wind energy is one of the most successfully utilized of such sources to produce electrical energy. Because of the randomness of wind speed, however, the multi-state model is suited for modeling wind turbine generators(WTG). A simple case study using two buses system shows in detail how it is used to perform a reliability evaluation study in proposed model.


ieee international conference on probabilistic methods applied to power systems | 2010

Web based online realtime information system for reliability of electrical energy supply including WTG

Jeongje Park; Kyeonghee Cho; Taeho Song; Jaeseok Choi; Joydeep Mitra; Mohammad Shahidehpour

Web based online real-time reliability integrated information system is asked rapidly for more efficiency and demand response in recent. As the utilization of renewable resources has been receiving considerable attention in recent years, the information system requirement is increased. Specially, the reliability information system is more important for implementing the smart grid. This paper describes architecture of the WORRIS(Web Based Online Real-time Reliability Integrated Information System) Version 1.0 system developed preliminarily in this study. It is originally a reliability information system based one day go ahead system.


The Transactions of the Korean Institute of Electrical Engineers | 2011

Web based Online Real-time Reliability Integrated Information System in Composite Power System Considering Wind Turbine Generators

Kyeonghee Cho; Jaeseok Choi

Web based online real-time reliability integrated information system is asked rapidly for more efficiency and demand response in recent. As the utilization of renewable resources has been receiving considerable attention in recent years, the information system requirement is increased. Specially, the reliability information system is more important for implementing the smart grid. This paper describes architecture of the WORRIS(Web based Online Real-time Reliability Integrated Information System) Version 7.0 system that simulates the reliability indices in composite power system considering wind turbine generators(WTG) developed successfully in this paper. And we had simulated the case study using Jeju island power system data.

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Jaeseok Choi

Gyeongsang National University

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Jeongje Park

Gyeongsang National University

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Taegon Oh

Gyeongsang National University

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Mohammad Shahidehpour

Illinois Institute of Technology

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Dong-Hoon Jeon

Electric Power Research Institute

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Eung-Sang Kim

Korea Electrotechnology Research Institute

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Fengming Zhang

Gyeongsang National University

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Jong-Yul Kim

Korea Electrotechnology Research Institute

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