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고석환(Ko Suk-Whan),정영석(Jung Young-Seok),소정훈(So Jung-Hun),황혜미(Hwang Hye-mi),주영철(Ju Young-Chul) 한국태양에너지학회 2014 한국태양에너지학회 논문집 Vol.34 No.6
The efficiency of the maximum power point tracking(MPPT) of inverter which is used in grid-connected photovoltaic systems is changed according to dynamic environment conditions. Hence, this paper evaluates the performance of the proposed method and other MPPT algorithm on the basis of European Efficiency Test(EN50530). The modeling of MPPT algorithm is made by the Matlab & Simulink. In the result of simulation, the more control period is shorter, the more MPPT efficiency is higher. Also, the Proposed MPPT algorithm has higher performance than other MPPT algorithm with no regard to control period.
환경데이터 기반 전압-전류 곡선 시뮬레이션 및 태양광 스트링 인공지능 고장진단 방법
고석환(Ko Suk Whan),신우균(Shin Woo Gyun),주영철(Ju Young Chul),황혜미(Hwang Hye Mi),손기호(Son Ki Ho),김한기(Kim Han Gi),최의성(Choi Ui Seong) 한국태양에너지학회 2023 한국태양에너지학회 논문집 Vol.43 No.6
This paper focuses on the development and analysis of a solar photovoltaic (PV) combiner box equipped with a module capable of obtaining Voltage–Current (I-V) characteristic curves to evaluate the performance degradation and faults in a solar power plant. A deep learning algorithm was proposed for the analysis of I-V curves. Direct Current circuit breakers were applied to obtain the I-V curves of each string circuit inside the combiner box. The fault dataset was labeled through classification based on the shape of I-V characteristic curves. The fault data were directly collected through field diagnosis at the power plant, amounting to a dataset of 3,200. A GoogLeNet transfer deep learning model with a convolution neural network (CNN) was used to develop a fault diagnosis algorithm, achieving training and validation accuracies of more than 95%. Empirical research was conducted at a 1.5 ㎿ solar power plant site. Shading and bypass diode short-circuit faults were simulated in solar PV strings to evaluate the accuracy of the algorithm. The artificial intelligence algorithm demonstrated accuracy rates of 98.67% for shading simulation and 95.06% for bypass diode short-circuit fault simulation.
태양전지모듈 고장 진단 알고리즘을 적용한 모니터링시스템
고석환(Ko Suk-Whan),소정훈(So Jung-Hun),황혜미(Hwang Hye-Mi),주영철(Ju Young-Chul),송형준(Song Hyung-June),신우균(Shin Woo-Gyun),강기환(Kang Gi-Hwan),최정내(Choi Jung-Rae),강인철(Kang In-Chul) 한국태양에너지학회 2018 한국태양에너지학회 논문집 Vol.38 No.3
The objects of PV (Photovoltaic) monitoring system is to reduce the loss of system and operation and maintenance costs. In case of PV plants with configured of centralized inverter type, only 1 PV module might be caused a large loss in the PV plant. For this reason, the monitoring technology of PV module-level that find out the location of the fault module and reduce the system losses is interested. In this paper, a fault diagnosis algorithm are proposed using thermal and electrical characteristics of PV modules under failure. In addition, the monitoring system applied with proposed algorithm was constructed. The wireless sensor using LoRa chip was designed to be able to connect with IoT device in the future. The characteristics of PV module by shading is not failure but it is treated as a temporary failure. In the monitoring system, it is possible to diagnose whether or not failure of bypass diode inside the junction box. The fault diagnosis algorithm are developed on considering a situation such as communication error of wireless sensor and empirical performance evaluation are currently conducting.
고석환(Ko Suk-Whan),장문석(Jang Moon-Seok),이윤섭(Lee Yoon-Sub) 한국태양에너지학회 2011 한국태양에너지학회 논문집 Vol.31 No.3
In the performance test for wind turbines of medium and large, The reference met-mast should be installed for measurement reference wind speed as IEC 61400-12-1 standards and design of booms for mounted an anemometer must be considered exactly. Boom-mounted cup anemometer are influenced by flow distortion of the mast and the boom. Therefore design of booms must be important so that flow distortion due to booms should be kept below 0.5%. But, in some cases at size of met-mast structure, the distance of boom from mast is longer than measurement of wind speed is impossible because of oscillation of boom-mounted anemometer. In this paper, We measured a wind speed at several point from mast and boom and we analyzed the error of wind speed at each point of measurement. Also, we will suggest a correction method using the data curve fitting about errors of wind speed between each point of mounted anemometer.
PV모듈의 음영 상태 및 바이패스 다이오드 단락 고장 특성 분석
고석환(Ko Suk-Whan),주영철(Ju Young-Chul),소정훈(So Jung-Hun),황혜미(Hwang Hye-Mi),정영석(Jung Young-Seok),강기환(Kang Gi-Hwan) 한국태양에너지학회 2016 한국태양에너지학회 논문집 Vol.36 No.4
A bypass diode is connected in parallel to solar cells with opposite polarity. The advantage of using the bypass diode is circumvented a destructive efforts of hot-spot heating in the photovoltaic(PV) module. In addition, it is possible to reduce a energy loss under the partial shading on the PV module. This paper presents a characteristic of photovoltaic module under partial shading condition and with defective bypass diode by using the experimental data. The results of field testing for each photovoltaic modules, when photovoltaic system which is connected power grid is operating, the inner junction-box temperature of shading photovoltaic module is high 5℃ because of difference of flowing current through into bypass diode. And incase of not operating photovoltaic system, the inner junction-box temperature of module with defective bypass diode is greatly higher than partial shading PV module.
고석환(Ko,Suk-Whan),장문석(Jang,Moon-Seok),박종포(Park,Jong-Po),이윤섭(Lee,Yoon-Sub) 한국태양에너지학회 2011 한국태양에너지학회 논문집 Vol.31 No.4
We are carried out power performance testing for 3㎿ wind turbine system at Je-ju wind turbine testing Site and analyzed measured data which was stored through monitoring system. In this paper, we described the power performance testing results and analyzed an uncertainty of measured data sets. The power curve with measured power data is closely coincide with designed power curve except for the low wind speed sections(4m/s ~ 7m/s) and the annual energy production which is given Rayleigh distribution was included with 1.5 ~ 5.9% of uncertainty in the wind speed region as 4 ~ 11m/s. Although the deviation of curve between measured power and designed power is high, the difference of annual energy production is low in the low wind speed region.