• 한국신재생에너지학회:학술대회논문집
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• 한국신재생에너지학회 2005년도 제17회 워크샵 및 추계학술대회
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• pp.680-683
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• 2005

This paper proposes a simple MPPT control scheme of a Current-Control-Loop Error system Based that can be obtains a lot of advantage to compare with another digital control method, P&O and IncCond algorithm that is applied mostly a PV system. An existent method is needed an expensive processor such as DSP that calculated to change the measure power of a using current and voltage sensor at the once. Therefore, it is applied a small home power generation system that required many expenses. But, a proposed method is easy to solve the cost reduction and power unbalance problems that it is used by control scheme to limit error of a current control of common sensor. This proposed algorithm had verified through a simulation and an experiment on battery charger using PIC that is the microprocessor of a low price.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2007년도 추계학술대회 논문집 전기기기 및 에너지변환시스템부문
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• pp.151-153
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• 2007

In this paper, the control method of extracting maximum power from the seaflow energy is proposed. This system consists of buck-boost converter, bridge diode. The control is performed by using the variable duty ratio control of buck-boost converter. For extracting maximum power, it is necessary to know the seaflow turbine's maximum power curve and the seaflow speed measurement. But this makes the system difficult and expensive to implement. So this paper proposes the MPPT control method where the seaflow speed and the maximum power curve of the seaflow turbine are not required. The effectiveness of algorithm is simulated based on Matlab $Simulink^{(R)}$.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2009년도 정기총회 및 추계학술대회 논문집
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• pp.123-125
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• 2009

Mismatch of electrical characteristics of modules in PV string invokes mismatch power loss. The mismatch occurs due to various causes such as shadow, aging, contamination, and module exchange. The concept of mismatch compensation converter(MCC) is presented in this paper to remedy the mismatch loss problem. MCC is connected to irregular modules only. MCC is composed of dc-dc converter and MPPT controller. It is noted that MPPT algorithm is employed to control MCC and is effective for maximum power available from irregular modules. The selection guide of MPPT control period is given based on the period of MPPT in PCU. The effectiveness of the MCC is verified by a prototype experiment.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1995년도 추계학술대회 논문집 학회본부
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• pp.238-241
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• 1995

In this paper, a new Maximum Power Point Tractor (MPPT) using Fuzzy Controller is proposed to improve energy convention efficiency. Temperature compensation effect means the photovoltaic voltage is change in condition irradiation, temperature and etc. Fuzzy algorithm is applied to control Boost MPPT converter by Temperature compensation effect. Temperature compensation range is $-40\sim+100^{\circ}C$.

• 전기학회논문지
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• 제62권12호
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• pp.1688-1693
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• 2013

A small-scale wind power generation system with a switched-mode rectifier(SMR) is proposed. To simplify the converter circuit of the wind power generation system, the synchronous inductors of the permanent magnet synchronous generator(PMSG) replace the inductor for the boost converter. The sensorless maximum power point tracking(MPPT) control is carried out for the wind power generation system with the SMR. The proposed system is verified through the simulations and the experiments.

• 태양에너지
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• 제18권3호
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• pp.129-135
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• 1998

A photovoltaic system is an infinite and clean energy system. A photovoltaic system consists of a solar cell array, a converter, a inverter and a control unit. It is necessary that the Maximum Power Point Tracker(MPPT) is applied to the photovoltaic system because the output power of solar cell array is varied with irradiation, temperature and external effects. In this paper, the neural networks theory, one of the control methods, is applied to track the maximum power point of the photovoltaic system. The MPPT using neural networks theory is proposed to improve existing energy converter efficiency. Also the theory is applied to operation of inverter type airconditionig system.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1995년도 하계학술대회 논문집 A
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• pp.437-439
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• 1995

In this paper, a mew maximum power point tracker (MPPT) using Fuzzy Controller is proposed to improve energy conversion efficiency. Temperature compensation effect means that Photovoltaic voltage is change in condition irradiation, temperature and ect. Fuzzy algorithm is applied to control Boost MPPT converter by Temperature compensation effect. In this paper, temperature compensation range is $-40^{\circ}C{\sim}+100^{\circ}C$.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2014년도 추계학술대회
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• pp.675-676
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• 2014

Photovoltaic (PV) systems bosed on solar energy offer an environmentally friendly source of electricity. A key feature of such PV sysem is the efficiency of conversion at which the power converter stage can extract the energy from the PV arrays and deliver to the load. The Maximum power point tracking (MPPT) of the PV output for all sunshine conditions allows reduction of the cost installation and maximizes the power output from the PV panel. The proposed algorithm is to control the width of the pulse for battery charging based on the open voltage of the PV panel. As a lab results, the proposed system was implemented functions to adapt to the changes of the PV open voltage, and improved the charging efficiency.

• 전력전자학회논문지
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• 제7권2호
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• pp.171-177
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• 2002

계통연계형 태양광 발전시스템은 계절별 전력수요의 변동이 많은 경우에 첨두전력 삭감의 한 방안으로 고려된다. 본 시스템의 발전효율을 증가시킬 수 있는 방법으로는 근본적으로 태양전지 자체의 변환효율을 증가시키는 방법과 제어관점에서 일사량과 태양전지 표면온도에 따라 시시각각 변하는 태양전지의 최대출력 점에 시스템의 동작점을 추종하게 하는 최대 전력점추적 (Maximum Power point Tracking, 이하 MPPT) 기법을 들 수 있고 발전 효율을 높이기 위하여 자주 사용되어 왔다. 초기 투자비용을 줄이기 위해 후에 등장한 직류초퍼를 사용하지 않고 MPPT 기능을 구현하는 태양광 발전시스템의 경우에 MPPT 알고리즘은 기존의 방법들을 사용하였고 직류초퍼를 사용하지 않은 태양광발전시스템에 적합한 MPPT 알고리즘의 연구는 없었다. 따라서 직류초퍼를 사용하지 않은 태양광 발전시스템에 적합한 MPPT 알고리즘의 연구가 요구되며 본 논문에서는 초퍼 없는 계통연계형 태양광발전 시스템을 대상으로 기존 MPPT 알고리즘의 문제점을 밝히고 이를 해결할 수 있는 새로운 MPPT 알고리즘을 연구하였다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2008년도 춘계학술대회 논문집 전기기기 및 에너지변환시스템부문
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• pp.221-223
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• 2008

This paper presents a maximum power point tracking(MPPT) of Photovoltaic system with chopping ratio of DC-DC converter considered load. A variation of solar irradiation is most important factor in the MPPT of PV system. That is nonlinear, aperiodic and complicated. The paper consists of solar radiation source, 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.