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주파수추종 운전 적용을 위한 BESS의 운용 방법 및 효과
조성민(Sung-Min Cho),장병훈(Byung-Hoon Jang),윤용범(Yong-Bum Yoon),전웅재(Woong-jae Jeon),김철우(Chulwoo Kim) 대한전기학회 2015 전기학회논문지 Vol.64 No.1
As the development of Battery Energy Storage System(BESS) and the increasing of intermittent energy sources like wind power and photovoltaic, the application of BESS in load frequency control is considered as an effective method. To evaluate the effectiveness of BESS application in frequency control, we defined a governor free model of BESS to conduct dynamic simulation. Using the BESS dynamic model, we implemented the power system dynamic model including steam, gas and hydro turbine generators. In this paper we study the control performance of BESS in primary frequency control. The effect of BESS speed regulation rate and response time on governor free operation is investigated. In addition, we compared BESS from steam turbine generator in view point of frequency regulation.
다계 H-브리지 모듈로 구성된 UPFC(Unified Power Flow Compensator)의 실험적 동작분석
백승택(Seung-Taek Baek),배병열(Byung-Yeol Bae),한병문(Byung-Moon Han),백두현(Doo-Hyun Baek),장병훈(Byung-Hoon Jang),윤종수(Jong-Soo Yoon),김수열(Soo-Yeol Kim) 전력전자학회 2005 전력전자학술대회 논문집 Vol.- No.-
This paper describes experimental analysis of UPFC, which is composed of cascaded H-bridge modules and single-phase multi-winding transformers for isolation. The operational characteristic was analyzed through experimental works with a scaled model, and simulation results with PSCAD/EMTDC. The UPFC proposed in this paper can be directly connected to the transmission line without series injection transformers. It has flexibility to expand the operation voltage by increasing the number of H-bridge modules. The analysis results can be utilized to design the actual UPFC system applicable for the transmission system.
신재생에너지 예측시장 참여형 태양광 발전량 예측 모델 개발
유재혁(Yu Jae-Hyeok),김상진(Kim Sang-jin),장병훈(Jang Byung-Hoon),우성민(Woo Sung-Min) 한국태양에너지학회 2022 한국태양에너지학회 논문집 Vol.42 No.6
For stable operation of the power system, predicting the amount of renewable energy generated can help establish a reasonable power generation plan. Solar photovoltaic power generation cannot be arbitrarily controlled and is directly affected by climatic conditions. Therefore, this study introduces a solar photovoltaic power generation forecasting technique that can reduce forecasting errors and maximize settlement income. This power generation forecasting technique uses easily accessible public meteorological data. Participation in the renewable energy generation prediction market is expected to be activated through this study, and various business models could possibly be developed by lowering the entry barrier for participation in the solar photovoltaic power generation prediction market.