• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.2
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• pp.828-834
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• 2013

In this paper, TMC (Tracker Motion Controller) as one of the many research methods for condensing efficiency improvements can be condensed into efficient solar system configuration to improve the power generation efficiency of the castle with Concentrated solar silicon and photovoltaic systems (CPV)experiments using PV systems. Microprocessor used on the solar system, tracing the development of solar altitude and latitude of each is calculated in real time. Also accept the value from the sensor, motor control and communication with the central control system by calculating the value of the current position of the sun, there is a growing burden on the applicability. Through the way the program is appropriate for solar power systems and sensors hybrid-type algorithm was implemented in the ARM core with built-in TMC, Concentrated CPV system compared to the existing PV systems, through the implementation of the TMC in the country's power generation efficiency compared and analyzed. Sensor method using existing experimental results Concentrated solar power systems to communicate the value of GPS location tracking method hybrid solar horizons in the coordinate system of the sun's azimuth and elevation angles calculated by the program in the calculations of astronomy through experimental resultslook clear day at high solar irradiation were shown to have a large difference. Stopped after a certain period of time, the sun appears in the blind spot of the sensor, the sensor error that can occur from climate change, however, do not have a cloudy and clear day solar radiation sensor does not keep track of the position of the sun, rather than the sensor of excellence could be found. It is expected that research is constantly needed for the system with ongoing research for development of solar cell efficiency increases to reduce the production cost of power generation, high efficiency condensing type according to the change of climate with the optimal development of the ability TMC.

• Proceedings of the KIPE Conference
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• 2008.06a
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• pp.607-609
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• 2008

본 논문에서는 태양광 발전 및 연료전지 시스템에서 사용되는 계통 연계형 인버터에 적용 가능한 새로운 전류제어기 설계방법을 제안한다. 제안된 상태궤환 전류제어기는 극점배치기법을 이용하여 주어진 시스템 요구사항에 따른 체계적인 제어기설계가 가능하며, 계통 전압과 동상을 가지도록 계통 주입전류를 제어한다. 이에 따라, 사인입력 기준전압을 추적할 수 있는 상태궤환 제어 알고리즘을 인버터의 대신호 평균 모델을 이용하여 설계하고, 200W급 계통 연계형 2단 구조 태양광 발전 전력변환 축소 시스템의 실험을 통하여 그 성능을 검증한다.

• Journal of IKEEE
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• v.19 no.1
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• pp.118-123
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• 2015

According to the recent report, solar street lamp connected to a non Maximum Power Point Tracking(MPPT) charger, can lead to a system-wide decline in power output with as much as 30%. This paper proposes the charge controller with direct duty ration control for 250W solar street lamp in order to improve the efficiency of photovoltaic from these output power reduction. This paper covers the Pulse Width Modulation(PWM) controller and power conversion topology and analyze the MPPT method for charge controller. The power conversion part consists of push pull converter based on PWM controller using 8bit MCU in order to have lower manufacturing cost. The PWM controller with direct duty ratio control algorithm is constantly tracking the maximum power point of photovoltaic module and increases energy output power. The test results shows 97.1~97.4% MPPT efficiency and the experimental hardware is implemented based on the solar simulator condition for 241W. Thus, the implemented charge controller shows its feasibility for the real application, especially under solar street lamp.

• Proceedings of the KIPE Conference
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• 2010.07a
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• pp.403-404
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• 2010

태양전지는 일사량 및 온도에 의해 출력 특성이 변화하여 최대전력을 얻을 수 있는 위치도 변화한다. 따라서 태양전지의 동작점을 최대 전력점에서 동작하게 하는 최대전력점 추적(MPPT, Maximum Power Point Tracking) 이 필요하다. 본 논문에서는 P&O 방식처럼 자려진동을 하지 않고 최대 동작점에서 머물면서 동작하는 NOC(Non-Oscillation Control) 방법을 제안한다. 이 방식은 빠르게 최대 동작점을 찾을 수 있고 특히 급격한 일사량 변동에 대해 유리한 장점을 갖는다. 최종적으로 제안된 제어기법의 타당성을 검증하기 위하여 3KW급으로 수행된 MPPT 모의 실험을 제시한다.

• Journal of Digital Convergence
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• v.12 no.3
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• pp.243-248
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• 2014

Recently, solar energy is expanding to combination of computing in real time by tracking the position of the sun to estimate the angle of inclination and make up freshly correcting a part of the solar radiation. Solar power is need that reliably linked technology to power generation system renewable energy in order to efficient power production that is difficult to output predict based on the position of the sun rise. In this paper, we analysis of prediction model for solar power generation to estimate the predictive value of solar power generation in the development of real-time weather data. Photovoltaic power generation input the correction factor such as temperature, module characteristics by the solar generator module and the location of the local angle of inclination to analyze the predictive power generation algorithm for the prediction calculation to predict the final generation. In addition, the proposed model in real-time national weather service forecast for medium-term and real-time observations used as input data to perform the short-term prediction models.

• Bulletin of the Korean Space Science Society
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• 1993.04a
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• pp.19-19
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• 1993

위성의 실제 궤도를 실시간하에서 추정(real-time estimation)하기 위해 지구 비대칭 중력장, 지구 대기의 저항력,그리고, 태양과 달의 위성체에 대한 섭동의 영향을 받는 지구 근방의 위성을 동력학적 모델로 선택하였다. 위성 관측소에서 얻게될 가상의 위성 궤도 자료들은 실제 관측에서 나타날 수 있는 관측 잡음(measurement noise)뿐 아니라 추적소 고도 등의 불확실한 요소들을 포함한다. 또한 수치 모델에서 고려치 못한 섭적 난수에 의해 만들었다. 확장 칼만 필터(Extended Kalman Filter)의 특성을 알아 보기 위해 일차원에서의 자유낙하체에 대한 거리와 속도 추정의 모의 실험을 비교하였고, 뱃치추정 알고리즘, 순차 추정 알고리즘의 모의 실험이 거리변화율의 자료를 이용하여 확장 칼만 필터와 비교하였다. 그 결과, 확장 칼만 필터 알고리즘은 빠른 수렴 속도를 갖는 특성을 가지며, 실시간하에서 완전하지 못한 수치 모델로 실제 궤도를 결정하고 궤도 요소를 추정하는데 효과적임을 알 수 있다.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.23 no.1
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• pp.41-48
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• 2009

This paper presents an Neural Network(NN) controller for Maximum Power Point Tracking (MPPT) of PV supplied DC motor. A variation of solar irradiation is most important factor in the MPPT of PV system. That is nonlinear, aperiodic and complicated. NN was widely used due to easily solving a complex math problem. Proposed photovoltaic system consists of NN, DC-DC converter, DC motor and load(cf, pump). NN algorithm apply to DC-DC converter through an Adaptive control of Neural Network, calculates Converter-Chopping ratio using an Adaptive control of NN. The results of an Adaptive control of NN compared with the results of Converter-Chopping ratio which are calculated mathematical modeling and evaluate the proposed algorithm. The experimental data show that an adequacy of the algorithm was established through the compared data.

• Journal of Advanced Marine Engineering and Technology
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• v.33 no.4
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• pp.588-594
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• 2009

The maximum power point operation point(MPPOP) of photovoltaic(PV) power generation systems changes with varying atmospheric conditions such as temperature, solar radiation. For achieving a high efficiency in PV system, it is very important for PV system to track the MPPOP correctly according to operation condition. Although the MPPT(maximum power point tracking) algorithm which applied P&O(Perturbation & Observation) or IncCnd(Incremental Conductance) algorithm tracks the MPPOP efficiently, its efficiency drops noticeably in case that the incidence angle of PV panel on buoy changes rapidly. To solve this problem, this paper proposes maximum power point searching and tracking algorithm(MPPST). The proposed algorithm set the specific area and measures the PV voltage at the same interval. The proposed algorithm have been obtained high efficiency than P&O algorithm through ocean experiment.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.42 no.9
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• pp.779-788
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• 2014

The satellite should generate electric power efficiently to perform the mission successfully within limited power. For this reason, the electrical power system of LEO satellites usually regulates the power which is generated from the solar cells using MPPT (Maximum Power Point Tracking) method. This paper proposes advanced MPPT algorithm based on the fuzzy logic applied to small CubeSat satellite. The simulation has been performed to confirm the validity of the proposed method by interlocking between MATLAB/Simulink and STK (Systems Tool Kit). The EBA(Energy Balance Analysis) has also been performed at two different pointing modes of KAUSAT-5 for solar irradiation according to the satellite orbit and attitude, and load capacity varied with operation modes by Simulink and STK. The performance of fuzzy logic-based MPPT algorithm was verified through the EBA. The validity of the proposed MPPT algorithm based on the fuzzy logic was also confirmed by comparing with P&O (Perturbation & Observation) algorithm that is general in the MPPT.

• Proceedings of the KIEE Conference
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• 2011.07a
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• pp.1115-1116
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• 2011

This paper proposes tracking solar power generation system using position solar algorithm(PSA). The solar power generation is changed power according to solar position due to using solar energy. The solar tracking methods are the program method and sensor method. This paper proposes two-axis tracking solar power generation using program tracking method. The validity of proposed system in this paper is proved through analyzing temperature of solar collect, generating power and efficiency.