• Journal of the Korean Solar Energy Society
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• v.22 no.3
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• pp.11-20
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• 2002

This paper proposed a MPPT(Maximum Power Point Tracking) control algorithm for PV(Photovoltaic) array based on a modified constant voltage control MPPT algorithm at low insolation. This method which combined a reference voltage control and a constant voltage control algorithm. In contrast to the typical conventional MPPT algorithm, the proposed method have been obtained high efficiency and good performance in all insolation intensity. The proposed algorithm is verified through simulation and experiment.

• Proceedings of the KIEE Conference
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• 2003.07b
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• pp.1359-1361
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• 2003

As the maximum power operating point(MPOP) of Photovoltaic(PV) power generation systems changes with changing atmospheric conditions such as solar radiation and temperature, an important consideration. In the design of efficient PV system is to track the MPOP correctly. Many maximum power point tracking(MPPT) techniques have been considered in the past, however, techniques using microprocessors with appropriate MPPT algorithms are favored because of their flexibility and compatibility with different PV arrays. Although the efficiency of these MPPT algorithms is usually high, it drops noticeably in case of rapidly changing atmospheric conditions. This pager proposed a new MPPT algorithm based on perturb & observe(P&O) algorithm with experiment. The results shows that the new P&O algorithm has successfully tracked the MPOP, even in case of rapidly changing atmospheric conditions, and has higher efficiency than ordinary algorithms.

• Proceedings of the KIPE Conference
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• 2011.11a
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• pp.263-264
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• 2011

본 논문은 풍력발전시스템의 MPPT 제어 시 정상상태에서의 안정성 향상을 위하여 퍼지로직 기반의 듀티비 변화량 가변 MPPT 방법을 제안한다. 일정한 듀티비 변화량으로 MPPT 제어 시 추종시간이 느려지거나 최대출력 점에서 진동하는 단점이 있다. 출력 전류량에 따라 구성된 퍼지로직 기반으로 듀티비 변화량을 가변 하여 MPPT 제어 시 정상상태 특성과 시스템 응답특성을 향상 시킬 수 있다. 3kW급 계통연계형 풍력발전시스템을 기반으로 수행된 시뮬레이션 결과를 바탕으로 제안한 알고리즘의 타당성을 검증하였다.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.60 no.10
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• pp.1865-1874
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• 2011

This paper proposes a novel maximum power point tracking(MPPT) using a new fuzzy control(NFC) algorithm for robust in insolation variation. Maximum power point(MPP) of solar cell has to achieve for improving output efficiency because it is changed with insolation and temperature. Conventional MPPT controller such as constant voltage(CV), perturbation and observation(PO) and incremental conductance(IC) are researched. But these controller have the problem that is failure to MPP with environment changing. The proposed NFC controller is based the fuzzy control algorithm and able to robust control with environment changing. Also the proposed controller of PV system is modeled by PSIM and the response characteristics according to the parameter variation is compared and analyzed. The validity of this controller is proved through response results.

• Solar Energy
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• v.18 no.1
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• pp.27-34
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• 1998

A maximum power point tracking(MPPT) converter, to enhance the converter efficiency is evaluated within the laboratory. The converter is controlled to track the maximum power point of the input photovoltaic(PV) source by varying the input and output parameter-conditions of irradiation, temperature, etc. The purpose of this paper is to develop a new maximum power point tracking(MPPT) using neural controller. Neural controller are applied to control of MPPT by boosting converter duty ratios compensation effect with 8 bit single chip 8051 microcontroller.

• The Transactions of the Korean Institute of Power Electronics
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• v.12 no.5
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• pp.355-363
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• 2007

In this paper, the transformerless three-phase line-connected PV PCS (photovoltaic power conditioning system) is proposed. An improved P&O (perturb and observe) MPPT (maximum power point tracking) algorithm that prevents local maximum power point tracking is proposed. By controlling the three-phase line-connected voltage source inverter using outer DC-link voltage controller, inner current controller and microcontroller friendly simplified space vector modulation (SVM) method, a unity power factor is achieved. An algorithm is suggested to control the DC-link voltage faster and more correctly for the increase system stability and power factor. All algorithms and controllers are implemented on a single-chip microcontroller and the superiority of the proposed algorithms and controllers is proved by experiments.

• Proceedings of the KIPE Conference
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• 2018.07a
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• pp.358-359
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• 2018

본 논문에서는 태양광 시스템에서 전 범위 전력점을 추종하기 위한 Constant Power Generation (CPG) 알고리즘을 구현하였다. 기존의 최대 전력점 추종 (MPPT) 알고리즘은 고출력의 태양광 시스템을 위해 광범위하게 사용되고 있지만, 변화하는 계통상황에 대한 유연한 제어가 불가능하다. 구현한 알고리즘은 MPPT 제어를 수행하면서도 상황에 따라 원하는 전력을 출력할 수 있다. 전 범위의 전력점 추종이 가능한 계통 연계 태양광 컨버터를 구성하였으며 CPG 알고리즘의 두 가지 기법을 소개하였다. 시뮬레이션을 통해 두 CPG 알고리즘을 구현하고 그 성능을 비교 및 분석하였다.

• KSBB Journal
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• v.29 no.4
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• pp.225-231
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• 2014

A microbial fuel cell (MFC) and bioelectrochemical systems are novel bioprocesses which employ exoelectrogenic biofilm on electrode as a biocatalyst for electricity generation and various useful chemical production. Previous reports show that electrogenic biofilms of MFCs are time varying systems and dynamically interactive with the electrically conductive media (carbon paper as terminal electron acceptor). It has been reported that maximum power point tracking (MPPT) method can automatically control load by algorithm so that increase power generation and columbic efficiency. In this study, we developed logic based control strategy for external load resistance by using $LabVIEW^{TM}$ which increases the power production with using flat-plate MFCs and MPPT circuit board. The flat-plate MFCs inoculated with anaerobic digester sludge were stabilized with fixed external resistance from $1000{\Omega}$ to $100{\Omega}$. Automatic load control with MPPT started load from $52{\Omega}$ during 120 hours of operation. MPPT control strategy increased approximately 2.7 times of power production and power density (1.95 mW and $13.02mW/m^3$) compared to the initial values before application of MPPT (0.72 mW and $4.79mW/m^3$).

• Proceedings of the KIEE Conference
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• 2011.07a
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• pp.47-48
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• 2011

PV(Photovoltaic) cell의 출력 전력은 일사량이나 온도와 같은 외부환경의 영향을 받아 변화하게 되므로 PV cell은 전압과 전력의 출력에 있어 비선형적이다. 이와 같은 비선형적 관계로 인해 MPPT(Maximum Power Point Tracking)를 수행하는 것이 PV 시스템에서는 매우 중요하다. 본 논문에서는 PV의 전력-전압 출력 특성에서 MPP를 기준으로 양쪽 경사면의 기울기와 Section의 차이를 이용한 새로운 추종법을 제안하였다. P-V 특성 곡선에서 왼쪽 측면에 비해 오른쪽 측면이 큰 기울기를 갖는 동시에 좁은 Section을 가지므로 제안하는 알고리즘은 이러한 특성을 활용한다. 또한 EMTP를 이용하여 제안된 기법의 성능과 동작을 검증하였다.

• Proceedings of the KIPE Conference
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• 2011.07a
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• pp.113-114
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• 2011

PV(Photovoltaic)는 일사량 및 온도에 의해 얻을 수 있는 최대 전력이 변화하고, PV의 전압에 따라 출력 전력이 변화한다. 따라서 PV를 이용한 인버터는 최대 전력점에서 동작하게 하는 최대 전력점 추정(Maximum Power Point Tracking) 제어시스템이 필요하다. 본 논문에서는 인버터 제어에 필요한 여러가지 MPPT 기능 실험이 가능하게 하는 저가형 태양전지 시뮬레이터 시스템의 제어알고리즘을 제안한다. 이 시스템은 PV의 출력특성에 따른 출력값을 설정하고, 다양한 출력특성 변화의 실시간 변화가 가능하게 하는 새로운 알고리즘을 적용하였다. 이를 통해 PV가 설치되지 않은 곳에서 인버터의 MPPT 성능 시험이 가능하며, 실제 인버터에 구현된 P&O-MPPT와 연동하여 제안된 제어기법의 타당성을 검증하였다.