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Kisuk Kim; Jaewon Kim; Changmu Lee; Joorak Kim; Hansang Lee. Correction to: PSO-Based Initial SOC and Capacity Optimization for Stationary Energy Storage Systems in DC Electric Railway System. Journal of Electrical Engineering & Technology 2021, 16, 2291 -2291.
AMA StyleKisuk Kim, Jaewon Kim, Changmu Lee, Joorak Kim, Hansang Lee. Correction to: PSO-Based Initial SOC and Capacity Optimization for Stationary Energy Storage Systems in DC Electric Railway System. Journal of Electrical Engineering & Technology. 2021; 16 (4):2291-2291.
Chicago/Turabian StyleKisuk Kim; Jaewon Kim; Changmu Lee; Joorak Kim; Hansang Lee. 2021. "Correction to: PSO-Based Initial SOC and Capacity Optimization for Stationary Energy Storage Systems in DC Electric Railway System." Journal of Electrical Engineering & Technology 16, no. 4: 2291-2291.
This paper presents an PSO-based optimization methodology for estimating the capacities and initial SOC of an energy storage systems (ESSs) in a DC electric railway system. The proposed method calculates the optimal solution using the missing capacity caused by the limited storage capacity. The missing capacity can be estimated through continuous-powerflow analysis. In many previous studies, capacities was calculated by assuming the each ESS as an independent device. However, since each storage device affects the charging and discharging operation of each other, this assumption might affect the convergence characteristics. In this paper, to solve this problem, the missing capacity of the ESS at both sides is reflected by using the relating coefficient derived based on the electrical distance between storage devices. The case studies show that the most efficient operation without missing capacity is possible under the derived capacities and initial SOC.
Kisuk Kim; Jaewon Kim; Changmu Lee; Joorak Kim; Hansang Lee. PSO-Based Initial SOC and Capacity Optimization for Stationary Energy Storage Systems in DC Electric Railway System. Journal of Electrical Engineering & Technology 2021, 16, 2281 -2289.
AMA StyleKisuk Kim, Jaewon Kim, Changmu Lee, Joorak Kim, Hansang Lee. PSO-Based Initial SOC and Capacity Optimization for Stationary Energy Storage Systems in DC Electric Railway System. Journal of Electrical Engineering & Technology. 2021; 16 (4):2281-2289.
Chicago/Turabian StyleKisuk Kim; Jaewon Kim; Changmu Lee; Joorak Kim; Hansang Lee. 2021. "PSO-Based Initial SOC and Capacity Optimization for Stationary Energy Storage Systems in DC Electric Railway System." Journal of Electrical Engineering & Technology 16, no. 4: 2281-2289.
Hansang Lee; Jaewon Kim; Changmu Lee; Joorak Kim. Correction to: Novel Cooperative Controller Design of Heterogeneous Energy Storages for Economic Applications in Electric Railway Systems. Journal of Electrical Engineering & Technology 2020, 15, 1481 -1481.
AMA StyleHansang Lee, Jaewon Kim, Changmu Lee, Joorak Kim. Correction to: Novel Cooperative Controller Design of Heterogeneous Energy Storages for Economic Applications in Electric Railway Systems. Journal of Electrical Engineering & Technology. 2020; 15 (3):1481-1481.
Chicago/Turabian StyleHansang Lee; Jaewon Kim; Changmu Lee; Joorak Kim. 2020. "Correction to: Novel Cooperative Controller Design of Heterogeneous Energy Storages for Economic Applications in Electric Railway Systems." Journal of Electrical Engineering & Technology 15, no. 3: 1481-1481.
Owing to the consistently increased request about efficiency improvement through utilization of regenerative energy from braking railway vehicle in the DC electric railway systems, there are a lot of researches about energy storage applications. However, the feasibility of ESS technology application is usually limited by economic factors rather than technical factors of it. Therefore, this paper proposes the application of heterogeneous energy storage system based on ramp-rate-considered cooperative controller in order to improve economics. The heterogeneous combination of energy storage devices with different technical advantages can gives a more economical solution to respond to individual specifications required by the system. A ramp-rate-considered cooperative controller for the heterogeneous ESS application is presented numerically, and effectiveness of the proposed method has been verified through electromagnetic transient simulation.
Hansang Lee; Jaewon Kim; Changmu Lee; Joorak Kim. Novel Cooperative Controller Design of Heterogeneous Energy Storages for Economic Applications in Electric Railway Systems. Journal of Electrical Engineering & Technology 2020, 15, 979 -987.
AMA StyleHansang Lee, Jaewon Kim, Changmu Lee, Joorak Kim. Novel Cooperative Controller Design of Heterogeneous Energy Storages for Economic Applications in Electric Railway Systems. Journal of Electrical Engineering & Technology. 2020; 15 (2):979-987.
Chicago/Turabian StyleHansang Lee; Jaewon Kim; Changmu Lee; Joorak Kim. 2020. "Novel Cooperative Controller Design of Heterogeneous Energy Storages for Economic Applications in Electric Railway Systems." Journal of Electrical Engineering & Technology 15, no. 2: 979-987.
Electric railways use a single-phase system, with the line comprising a trolley wire (TF) that supplies power to the load with a neutral wire and an autotransformer (AF) feeder to absorb the return current of the rail. Testing the performance of the protective relay that detects the fault of the traction power-supply system (TPSS) and operates the circuit breaker is very important. Until now, the performance test of protective relays for the TPSS has been conducted via a simple-steady test or using an expensive real-time simulator. However, under a fast-moving environment in which the load consumes a large amount of power, the protective relay must always detect faults and operate properly. This paper proposes a digital simulator that enables the dynamic testing of protective relays without using any steady test and expensive real-time simulators. This simulator includes both external waveform import and internal waveform generation functions. Users can test the operation of the protective relay by entering the waveform generated externally or internally into the protective relay. Additionally, it has the ability to monitor the operating protection elements and pickup time when the protective relay detects a fault and orders the circuit breaker trip.
Joorak Kim; Gyu-Jung Cho; Jaewon Kim; Kim. Development of Railway Protective Relay Simulator for Real-Time Applications. Applied Sciences 2019, 10, 191 .
AMA StyleJoorak Kim, Gyu-Jung Cho, Jaewon Kim, Kim. Development of Railway Protective Relay Simulator for Real-Time Applications. Applied Sciences. 2019; 10 (1):191.
Chicago/Turabian StyleJoorak Kim; Gyu-Jung Cho; Jaewon Kim; Kim. 2019. "Development of Railway Protective Relay Simulator for Real-Time Applications." Applied Sciences 10, no. 1: 191.
This paper deals with the onboard Fast Energy Conversion System (FECS) that is installed in a Wireless Railway Train (WRT), which receives electrical energy not from the wayside device but from the onboard device when traveling between stations, after getting such energy stored by fast charging during its stopping time at a station. The adopted the Input-Series and Output-Independent (ISOI) architecture and the interleaving topology can reduce the size and weight of on-board FECS for 1,500 V, which is double the operating voltage of the existing 750 V operating voltage.This allows 1,200 V class IGBT applications to increase switching frequency and reduce passive component volume.In addition, in order to secure system stability, which is important in any transportation system, a WRT must operate on the basis of simple control.Through simple and efficient balance control based on a variable current limiter, the input voltage unbalance caused by input voltage sharing is resolved.Also, it can control charging and discharging based on the energy moving characteristic of the train operation pattern and connection with a high power Energy Storage Pack (ESP). The performance of the onboard FECS at 1,500 V with the proposed method was experimentally verified on a 600 kW prototype system.
Jaewon Kim; Joonhyoung Ryu; Gildong Kim; Jaebum Lee; Sanghoon Chang; Changmu Lee; Joorak Kim; Yongkuk Oh; Hansang Lee; Jooha Kim. A Proposed Fast Charging and High-Power System for Wireless Railway Trains Adopting the Input Voltage Sharing Topology and the Balancing Control Scheme. IEEE Transactions on Industrial Electronics 2019, 67, 6407 -6417.
AMA StyleJaewon Kim, Joonhyoung Ryu, Gildong Kim, Jaebum Lee, Sanghoon Chang, Changmu Lee, Joorak Kim, Yongkuk Oh, Hansang Lee, Jooha Kim. A Proposed Fast Charging and High-Power System for Wireless Railway Trains Adopting the Input Voltage Sharing Topology and the Balancing Control Scheme. IEEE Transactions on Industrial Electronics. 2019; 67 (8):6407-6417.
Chicago/Turabian StyleJaewon Kim; Joonhyoung Ryu; Gildong Kim; Jaebum Lee; Sanghoon Chang; Changmu Lee; Joorak Kim; Yongkuk Oh; Hansang Lee; Jooha Kim. 2019. "A Proposed Fast Charging and High-Power System for Wireless Railway Trains Adopting the Input Voltage Sharing Topology and the Balancing Control Scheme." IEEE Transactions on Industrial Electronics 67, no. 8: 6407-6417.
Although electric railway systems have gone through many technological innovations in their electrical, mechanical and structural engineering since the energy paradigm conversion to electrical energy, the conventional feeding system based on the catenary contact is still being applied. In order to solve the problems of the contact-based feeding system that arise and to build up the energy-sustainable electric railway system simultaneously, this paper considers the wireless railway train (WRT), which is fed by storages mounted on the board without catenary contact during driving and charged at a platform during a stop. In order to maximize the energy improvement of WRTs’ operation, the optimal power and storage capacity estimation method considering the increased weight of the additional storage devices is proposed. Through case studies of the electrical and topographical conditions of the actual operating railway route, compared with the electrical performance of the existing railway trains, it is verified that the application of WRTs leads to facility capacity margin enlargement through the peak power reduction, and cost-effectiveness improvement through the reduction of catenary loss and driving energy.
Jaewon Kim; Joorak Kim; Changmu Lee; Gildong Kim; Hansang Lee; Byongjun Lee. Optimal Capacity Estimation Method of the Energy Storage Mounted on a Wireless Railway Train for Energy-Sustainable Transportation. Energies 2018, 11, 986 .
AMA StyleJaewon Kim, Joorak Kim, Changmu Lee, Gildong Kim, Hansang Lee, Byongjun Lee. Optimal Capacity Estimation Method of the Energy Storage Mounted on a Wireless Railway Train for Energy-Sustainable Transportation. Energies. 2018; 11 (4):986.
Chicago/Turabian StyleJaewon Kim; Joorak Kim; Changmu Lee; Gildong Kim; Hansang Lee; Byongjun Lee. 2018. "Optimal Capacity Estimation Method of the Energy Storage Mounted on a Wireless Railway Train for Energy-Sustainable Transportation." Energies 11, no. 4: 986.
New Prediction of the Number of Charging Electric Vehicles Using Transformation Matrix and Monte-Carlo Method Monte-Carlo method;Transformation matrix;Electric Vehicle(EV);Distribution system;Power supply and demand;Charging infrastructure;Prediction technique;Charging rate;Traffic volume;EV charging cost; An Electric Vehicle (EV) is operated with the electric energy of a battery in place of conventional fossil fuels. Thus, a suitable charging infrastructure must be provided to expand the use of electric vehicles. Because the battery of an EV must be charged to operate the EV, expanding the number of EVs will have a significant influence on the power supply and demand. Therefore, to maintain the balance of power supply and demand, it is important to be able to predict the numbers of charging EVs and monitor the events that occur in the distribution system. In this paper, we predict the hourly charging rate of electric vehicles using transformation matrix, which can describe all behaviors such as resting, charging, and driving of the EVs. Simulation with transformation matrix in a specific region provides statistical results using the Monte-Carlo Method.
Hyo-Sang Go; Joon-Hyoung Ryu; Jaewon Kim; Gil-Dong Kim; Chul-Hwan Kim. New Prediction of the Number of Charging Electric Vehicles Using Transformation Matrix and Monte-Carlo Method. Journal of Electrical Engineering & Technology 2017, 12, 451 -458.
AMA StyleHyo-Sang Go, Joon-Hyoung Ryu, Jaewon Kim, Gil-Dong Kim, Chul-Hwan Kim. New Prediction of the Number of Charging Electric Vehicles Using Transformation Matrix and Monte-Carlo Method. Journal of Electrical Engineering & Technology. 2017; 12 (1):451-458.
Chicago/Turabian StyleHyo-Sang Go; Joon-Hyoung Ryu; Jaewon Kim; Gil-Dong Kim; Chul-Hwan Kim. 2017. "New Prediction of the Number of Charging Electric Vehicles Using Transformation Matrix and Monte-Carlo Method." Journal of Electrical Engineering & Technology 12, no. 1: 451-458.