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에너지저장장치와 결합한 WTG를 포함하는 전력계통의 Capacity Credit 평가 및 ESS 적정규모 평가방안
오웅진(Ungjin Oh),이연찬(Yeonchan Lee),최재석(Jaeseok Choi),임진택(Jintaek Lim) 대한전기학회 2016 전기학회논문지 Vol.65 No.6
This paper proposes a new method for evaluating Effective Load Carrying Capability(ELCC) and capacity credit(C.C.) of power system including Wind Turbine Generator(WTG) combined with Battery Energy Storage System(BESS). WTG can only generate electricity power when the fuel(wind) is available. Because of fluctuation of wind speed, WTG generates intermittent power. In view point of reliability of power system, intermittent power of WTG is similar with probabilistic characteristics based on power on-off due to mechanical availability of conventional generator. Therefore, high penetration of WTG will occur difficulties in power operation. The high penetration of numerous and large capacity WTG can make risk to power system adequacy, quality and stability. Therefore, the penetration of WTG is limited in the world. In recent, it is expected that BESS installed at wind farms may smooth the wind power fluctuation. This study develops a new method to assess how much is penetration of WTG able to extended when Wind Turbine Generator(WTG) is combined with Battery Energy Storage System(BESS). In this paper, the assessment equation of capacity credit of WTG combined with BESS is formulated newly. The simulation program, is called GNRL_ESS, is developed in this study. This paper demonstrates a various case studies of ELCC and capacity credit(C.C.) of power system containing WTG combined with BESS using model system as similar as Jeju island power system. The case studies demonstrate that not only reasonable BESS capacity for a WTG but also permissible penetration percent of WTG combined with BESS and reasonable WTG capacity for a BESS can be decided.
풍력발전기를 포함하는 전력계통에서의 신뢰도 기반 HVDC 확충계획
오웅진(Ungjin Oh),이연찬(Yeonchan Lee),최재석(Jaeseok Choi),윤용범(Yongbeum Yoon),김찬기(Chan-Ki Kim),임진택(Jintaek Lim) 대한전기학회 2018 전기학회논문지 Vol.67 No.1
New methodology for probabilistic reliability based grid expansion planning of HVDC in power system including Wind Turbine Generators(WTG) is developed in this paper. This problem is focused on scenario based ptimal selection technique to decide best connection bus of new transmission lines of HVDC in view point of adequacy reliability in power system including WTG. This requires two kinds of modeling and simulation for reliability evaluation. One is how is reliability evaluation model and simulation of WTG. Another is to develop a failure model of HVDC. First, reliability evaluation of power system including WTG needs multi-state simulation methodology because of intermittent characteristics of wind speed and nonlinear generation curve of WTG. Reliability methodology of power system including WTG has already been developed with considering multi-state simulation over the years in the world. The multi-state model already developed by authors is used for WTG reliability simulation in this study. Second, the power system including HVDC includes AC/DC converter and DC/AC inverter substation. The substation is composed of a lot of thyristor devices, in which devices have possibility of failure occurrence in potential. Failure model of AC/DC converter and DC/AC inverter substation in order to simulate HVDC reliability is newly proposed in this paper. Furthermore, this problem should be formulated in hierarchical level II(HLII) reliability evaluation because of best bus choice problem for connecting new HVDC and transmission lines consideration. HLII reliability simulation technique is not simple but difficult and complex. CmRel program, which is adequacy reliability evaluation program developed by authors, is extended and developed for this study. Using proposed method, new HVDC connected bus point is able to be decided at best reliability level successfully. Methodology proposed in this paper is applied to small sized model power system.
Wu, Hongbin,Guo, Jinjin,Ding, Ming The Korean Institute of Electrical Engineers 2016 Journal of Electrical Engineering & Technology Vol.11 No.3
Considering the randomness and uncertainty of wind power, a reliability model of WTGs is established based on the combination of the Weibull distribution and the Markov chain. To analyze the failure mode quickly, we use the switch-section partitioning method. After defining the first-level load zone node, we can obtain the supply power sets of the first-level load zone nodes with each WTG. Based on the supply sets, we propose the dynamic division strategy of island operation. By adopting the fault analysis method with the attributes defined in the switch-section, we evaluate the reliability of the distribution network with WTGs using a sequential Monte Carlo simulation method. Finally, using the IEEE RBTS Bus6 test system, we demonstrate the efficacy of the proposed model and method by comparing different schemes to access the WTGs.
Hongbin Wu,Jinjin Guo,Ming Ding 대한전기학회 2016 Journal of Electrical Engineering & Technology Vol.11 No.3
Considering the randomness and uncertainty of wind power, a reliability model of WTGs is established based on the combination of the Weibull distribution and the Markov chain. To analyze the failure mode quickly, we use the switch-section partitioning method. After defining the first-level load zone node, we can obtain the supply power sets of the first-level load zone nodes with each WTG. Based on the supply sets, we propose the dynamic division strategy of island operation. By adopting the fault analysis method with the attributes defined in the switch-section, we evaluate the reliability of the distribution network with WTGs using a sequential Monte Carlo simulation method. Finally, using the IEEE RBTS Bus6 test system, we demonstrate the efficacy of the proposed model and method by comparing different schemes to access the WTGs.
A New Algorithm to Reduce the Mal-Operation of DOCR in Bi-directional Power Distribution Systems
Hongbin Wu,Jinjin Guo,Ming Ding 대한전기학회 2016 Journal of Electrical Engineering & Technology Vol.11 No.3
Considering the randomness and uncertainty of wind power, a reliability model of WTGs is established based on the combination of the Weibull distribution and the Markov chain. To analyze the failure mode quickly, we use the switch-section partitioning method. After defining the first-level load zone node, we can obtain the supply power sets of the first-level load zone nodes with each WTG. Based on the supply sets, we propose the dynamic division strategy of island operation. By adopting the fault analysis method with the attributes defined in the switch-section, we evaluate the reliability of the distribution network with WTGs using a sequential Monte Carlo simulation method. Finally, using the IEEE RBTS Bus6 test system, we demonstrate th
공급신뢰도 측면에서의 신재생에너지발전단지와 연계된 BESS의 운용 알고리즘 개발
오웅진(Ungjin Oh),이연찬(Yeonchan Lee),임진택(Jin-Taek Lim),최재석(Jaeseok Choi) 대한전기학회 2020 전기학회논문지 Vol.69 No.1
This paper proposes a probabilistic reliability evaluation model and algorithm for the power system considering wind turbine generator (WTG) and battery energy storage system (BESS) in viewpoint of power system reliability. A large-scale wind turbine generator (WTG) can creates significant power fluctuations and should affect the stability, frequency control and then reliability of the power system. Therefore, wind power should be limited to supply the percentage of load. The output of WTG cannot be predicted accurately and so results in significant fluctuations in power supply balance. Therefore, it is difficult to control the power balance between supply and demand. However, it can be controlled by installing the BESS. The BESS may smooth the fluctuation of the WTG power output. This paper proposes reliability based alternative algorithm in order to simulate the effects of the interaction of multiple WTG and BESS newly. Additionally, this paper presents sample system studies that single BESS as well as multi-BESS are simulated by handwork very clearly. Futhermore, the reliability effects of BESS according to a couple of different BESS operation rules and conditions are demonstrated in sample system case study.
탐라해상풍력발전단지의 확률적 시뮬레이션 방법을 이용한 Capacity Credit의 평가
정세민(Semin Jeong),오웅진(Ungjin Oh),이연찬(Yeonchan Lee),최재석(Jaeseok Choi),임진택(Jintaek Lim),이기백(Kibaek Lee) 대한전기학회 2019 전기학회논문지 Vol.68 No.2
This study is described an algorithm for probabilistic production cost credit evaluation of wind turbine generators (WTG) with multi-state and aims to analysis the reliability of wind power generator in Jeju Island power system in order to maintain the operational state of power system at the reliability level. An analysis on generated capacity of wind power generator with Tamla offshore wind farm, which owned by KOEN(Korea South-East Power Co.Ltd.) and without Tamla offshore wind farm has been done in terms of Effective Load Carrying Capability(ELCC) and Capacity Credit(C.C.) in power system from the perspective of Loss of Load Expectation(LOLE). Case studies in this paper demonstrates how it changes the ELCC and C.C. according to the changing of wind speed in the Tamla offshore wind farm.
제주도 계통에서의 풍력발전기 및 ESS를 고려한 신뢰도 평가
오응진(Ungjin Oh),이연찬(Yeonchan Lee),임진택(Jintaek Lim),최재석(Jaeseok Choi),윤용범(Yongbeum Yoon),장병훈(Byunghoon Chang),조성민(Sungmin Cho) 대한전기학회 2015 전기학회논문지 Vol.64 No.1
This paper proposes probabilistic reliability evaluation model of power system considering Wind Turbine Generator(WTG) integrated with Energy Storage System(ESS). Monte carlo sample state duration simulation method is used for the evaluation. Because the power output from WTG units usually fluctuates randomly, the power cannot be counted on to continuously satisfy the system load. Although the power output at any time is not controllable, the power output can be utilized by ESS. The ESS may make to smooth the fluctuation of the WTG power output. The detail process of power system reliability evaluation considering ESS cooperated WTG is presented using case study of Jeju island power system in the paper.
풍력발전기와 BESS를 결합한 전력계통의 공급신뢰도 기여함수
오웅진(Ungjin Oh),이연찬(Yeonchan Lee),최재석(Jaeseok Choi),윤용범(Yongbeum Yoon),장병훈(Byunghoon Chang),차준민(Jun-Min Cha) 대한전기학회 2016 전기학회논문지 Vol.65 No.3
This paper presents a study on reliability assessment and new contribution function development of power system including Wind Turbine Generator(WTG) combined with Battery Energy Storage System(BESS). This paper develops and proposes new reliability contribution function of BESS installed at wind farms. The methodology of reliability assessment, using Monte Carlo Simulation(MCS) method to simulate sample state duration, is proposed in detail. Forced Outage Rate(FOR) considered probabilistic approach for conventional generators is modelled in this paper. The penetration of large wind power can make risk to power system adequacy, quality and stability. Although the fluctuation of wind power, BESS installed at wind farms may smooth the wind power fluctuation. Using small size system as similar as Jeju island power system, a case study of reliability evaluation and new proposed contribution function of power system containing WTG combined with BESS is demonstrated in this paper, which would contributes to BESS reliability contribution and assessment tools of actual power system in future.