• Title/Summary/Keyword: grid-connected

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Fault Diagnosis of Solar Power Inverter Using Characteristics of Trajectory Image of Current And Tree Model (전류 궤적 영상의 특징과 트리모델을 이용한 태양광 전력 인버터의 고장진단)

  • Hwang, Jae-Ho
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.47 no.4
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    • pp.102-108
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    • 2010
  • The photovoltaic system changes solar energy into DC by solar cell and this DC is inverted into AC which is used in general houses by inverter. Recently, the use of power of the photovoltaic system is increased. Therefore, the study of 3 phase solar system to transmit large power is very important. This paper proposes a method that finds simply faults and diagnoses the switch open faults of 3-phase pulse width modulation (PWM) inverter of grid-connected photovoltaic system. The proposed method in $\alpha\beta$ plane uses the patterns of trajectory image as the characteristic parameters and differenciates a normal state and open states of switches. Then, the result is made into tree. The tree is composed of 21 fault patterns and the parameters to classify faults are a shape, a trajectory area, a distributed angle, and a typical vector angle. The result shows that the proposed method diagnosed fault diagnoses, classified correctly them, and made a pattern tree by fault patterns.

A Deadlock A voidance Method and a Regression-Based Route Selection Scheme for AGV s in Automated Container Terminals (자동화 컨테이너 터미널에서 AGV 교착 방지와 회귀 분석을 이용한 경로 선정 방안)

  • Jun Jin-Pyo;Ryu Kwang-Ryel;Yoon Hang-Mook
    • Journal of Navigation and Port Research
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    • v.29 no.8 s.104
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    • pp.723-733
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    • 2005
  • This paper presents a deadlock avoidance method for AGVs in automated container terminals. For a more efficient use of AGV traveling area, we divided the area into small-sized grids not enough to cover a whole AGV. Our deadlock avoidance method controls AGVs by identifying strongly connected components(SCCs) in a graph derived from the paths of AGVs on the grids. Also in this paper we suggest a route selection scheme which selects a route by predicting and comparing travel times of candidate routes by using a regression formula. Simulation experiments have shown that the proposed method can control AGVs for 48 hours without deadlocks and the count of AGV visits per QC is increased by $2\~10$ an hour.

Development of the 120kV/70A High Voltage Switching Circuit with MOSFETs Operated by Simple Gate Drive Unit (120kV/70A MOSFETs Switch의 구동회로 개발)

  • 송인호;최창호
    • The Transactions of the Korean Institute of Power Electronics
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    • v.8 no.1
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    • pp.24-29
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    • 2003
  • A 120kV/70A high voltage switch has been installed at Korea Atomic Energy Research Institute(KAERI) in Taejon to supply power with Korea Superconducting Tokamak Advanced Research(KSTAR) Neutral Beam Injection(NBI) system. NBI system requires fast cutoff of the flower supply voltage for protection of the grid when arc detected and fast turn-on the voltage for sustaining the beam current. Therefore the high voltage switch and arc current detection circuit are important part of the NBI power supply. There are much need for high voltage solid state switches in NBI system and a broad area of applications. This switch consisted of 100 series connected MOSFETs and adopted the proposed simple and reliable gate drive circuit without bias supply. Various results taken during the commissioning phase with a 100kW resistive load and NBI source arc shown. This paper presents the detailed design of 120kV/70A high voltage MOSFETs switch and simple gate drive circuit. Problems with the high voltage switch and gate driver during thefabrication and test and solutions are also presented.

Annual Energy Performance Evaluation of Zero Energy House Using Metering Data (실측데이터를 이용한 에너지제로주택의 연간 에너지성능평가)

  • Lim, Hee-Won;Yoon, Jong-Ho;Shin, U-Cheul
    • KIEAE Journal
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    • v.16 no.3
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    • pp.113-119
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    • 2016
  • Purpose: In this study, we evaluate the annual energy performance of the detached house which was designed with the aim of zero energy. Method: The experimental house which was constructed in Gonju Chungnam in 2013, is the single family detached house of light weight wood frame with $100m^2$ of heating area. Thermal transmittance of roof (by ISO 10211) and building external walls are designed as $0.10W/m^2K$ and $0.14W/m^2$ respectively and low-e coating vacuum window glazing with PVC frame was installed. Also grid connected PV system and natural-circulation solar water heater was applied and 6kWp capacity of photovoltaic module was installed in pitched roof and $5m^2$ of solar collector in vertical wall facing the south. We analyzed the 2014 annual data of the detached house in which residents were actually living, measured though web-based remote monitoring system. Result: First, as a result, total annual energy consumption and energy production (PV generation and solar hot water) are 7,919kWh and 7,689kWh respectively and the rate of energy independence is 97.1% which is almost close to the zero energy. Second, plug load and hot water of energy consumption by category showed the highest numbers each with 33% and 31%, with following space heating 24%, electric cooker 8%, lighting 3% in order. Hot water supply is relatively higher than space heating because high insulation makes it decreased.

Deep Neural Network Model For Short-term Electric Peak Load Forecasting (단기 전력 부하 첨두치 예측을 위한 심층 신경회로망 모델)

  • Hwang, Heesoo
    • Journal of the Korea Convergence Society
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    • v.9 no.5
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    • pp.1-6
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    • 2018
  • In smart grid an accurate load forecasting is crucial in planning resources, which aids in improving its operation efficiency and reducing the dynamic uncertainties of energy systems. Research in this area has included the use of shallow neural networks and other machine learning techniques to solve this problem. Recent researches in the field of computer vision and speech recognition, have shown great promise for Deep Neural Networks (DNN). To improve the performance of daily electric peak load forecasting the paper presents a new deep neural network model which has the architecture of two multi-layer neural networks being serially connected. The proposed network model is progressively pre-learned layer by layer ahead of learning the whole network. For both one day and two day ahead peak load forecasting the proposed models are trained and tested using four years of hourly load data obtained from the Korea Power Exchange (KPX).

Effect of Interference from DC Power Supply on Power Line Communication Channel (전력선 통신 채널에서 직류전원 공급장치의 간섭 영향)

  • Kim, Sungeon;Jeon, Taehyun
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.14 no.5
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    • pp.111-115
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    • 2014
  • Power line communications can be utilized to build up the data transmission network wherever the electricity is available. This type of communication system could provide a basis for the network construction in many application areas which include the smart grid and home networks. On the other hand the power line communication is vulnerable to various types of interferences and noises. Also, its channel characteristics are constantly changing depending on the type and the amount of electrical loads connected to the network. Especially, the usage of DC power supply has been increased due to the explosive expansion of smart devices in our daily lives which result in the increased level of interferences on the power line channel. In this paper, the effect of the operation of the DC power supplies on the channel characteristics and the data transmission performance is analyzed through the experiments.

Image Stitching Using Normalized Cross-Correlation and the Thresholding Method in a Fluorescence Microscopy Image of Brain Tumor Cells (정규 상호상관도 및 이진화 기법을 이용한 뇌종양 세포의 형광 현미경 영상 스티칭)

  • Seo, Ji Hyun;Kang, Mi-Sun;Kim, Hyun-jung;Kim, Myoung-Hee
    • Journal of Korea Multimedia Society
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    • v.20 no.7
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    • pp.979-985
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    • 2017
  • This paper, which covers a fluorescence microscopy image of brain tumor cells, looks at drug reactions by treating different types and concentrations of drugs on a plate of $24{\times}16$ wells. Due to the limitation of the field of view, a well was taken into 9 field images, and each has an overlapping area with its neighboring fields. To analyze more precisely, image stitching is needed. The basic method is finding a similar area using normalized cross-correlation (NCC). The problem is that some overlapping areas may not have any duplicated cells that help to find the matching point. In addition, the cell objects have similar sizes and shapes, which makes distinguishing them difficult. To avoid calculating similarity between blank areas and roughly distinguishing different cells, thresholding is added. The thresholding method classifies background and cell objects based on fixed thresholds and finds the location of the first seen cell. After getting its location, NCC is used to find the best correlation point. The results are compared with a simple boundary stitched image. Our proposed method stitches images that are connected in a grid form without collision, selecting the best correlation point among areas that contain overlapping cells and ones without it.

Reduction of the Unbalanced Three Phase Input Current by Variable Notch Filter in Active AC Electronic Load (가변 노치필터에 의한 능동형 AC 전자부하의 3상 전류 불평형 저감)

  • Kim, Do-Yun;Lee, Jung-Hyo;Lee, Yong-Seok;Jung, Doo-Yong;Jung, Yong-Chae;Won, Chung-Yuen
    • The Transactions of the Korean Institute of Power Electronics
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    • v.17 no.2
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    • pp.158-165
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    • 2012
  • In this paper, the test bed using three-phase PWM converter connected with single phase inverter in series is set up to configure an active AC electric load. Since the two topologies, three-phase PWM converter and single-phase inverter, can be operated bidirectionally, the system not only re-generates surplus power to grid but also prevents power dissipation. However, the construction of system has a drawback. That is, ripple components two times of inverter operation frequency occur at DC-Link due to cascade connection, it can be cause of three phase unbalance Since the operational characteristic of the active AC electric load, the power frequency entered into the electric load can be varied, and the ripple of DC-Link is changed as well. In this paper, the three-phase PWM converter using a variable notch filter is proposed, and the reduction of three-phase current unbalance is presented. the validity of the proposed PWM converter using a variable notch filter is verified by the simulation and experimental results.

Active Damping of LCL Filter for Three-phase PWM Inverter without Additional Hardware Sensors (추가적인 센서가 필요 없는 3상 PWM 인버터의 LCL 필터 능동댐핑)

  • An, Byoung-Woong;Shin, Hee-Keun;Kim, Hag-Wone;Cho, Kwan-Yuhl;Han, Byoung-Moon
    • The Transactions of the Korean Institute of Power Electronics
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    • v.18 no.1
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    • pp.10-17
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    • 2013
  • In this paper, a new active damping method of LCL filter without capacitor voltage sensors is proposed for 3 phase PWM Inverter. Normally, L filter or LCL filter is used as an output filter of grid connected PWM inverter. An LCL filter has more excellent performance than L filter to reduce harmonic current, so the small inductance value can be used. However, the resonance problem in LCL filter is happen due to the zero impedance by the addition of LC branch. To solve the resonance problem, the various active damping method has been proposed so far. Generally, the virtual resistor active damping methods is required to additional hardware sensors for measurement of capacitor voltage and current. In this paper, the new active damping method is proposed without any capacitor voltage or current sensors. In the proposed method, the resonance component of the capacitor voltage of LCL filter can be observed by a simple MRAS(Model Reference Adaptive System) observer without additional hardware sensors, and this component is suppressed by feedforward compensation. The validity of the proposed method is proven by simulation and experiment on the 3-phase PWM inverter system.

Flood Damage Assessment According to the Scenarios Coupled with GIS Data (GIS 자료와 연계한 시나리오별 홍수피해액 분석)

  • Lee, Geun-Sang;Park, Jin-Hyeg
    • Journal of Korean Society for Geospatial Information Science
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    • v.19 no.4
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    • pp.71-80
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    • 2011
  • A simple and an improved methods for the assessment of flood damage were used in previous studies, and the Multi-Dimensional Flood Damage Assessment (MD-FDA) has been applied since 2004 in Korea. This study evaluated flood damage of dam downstream using considering MD-FDA method based on GIS data. Firstly, flood water level with FLDWAV (Flood Wave routing) model was input into cross section layer based on enforcement drainage algorithm, water depth grid data were created through spatial calculation with DEM data. The value of asset of building and agricultural land according to local government was evaluated using building layer from digital map and agricultural land map from landcover map. Also, itemized flood damage was calculated by unit price to building shape, evaluated value of housewares to urban type, unit cost to crop, tangible and inventory asset of company connected with building, agricultural land, flooding depth layer. Flood damage in rainfall frequency of 200 year showed 1.19, 1.30 and 1.96 times to flood damage in rainfall frequency of 100 year, 50 year and 10 year respectively by flood damage analysis.