• 전력전자학회논문지
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• 제27권4호
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• pp.297-304
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• 2022

This study compares the performance of artificial intelligence (AI)-based maximum power point tracking (MPPT) methods under partial shading conditions in a photovoltaic generation system. Although many studies on AI-based MPPT have been conducted, few studies comparing the tracking performance of various AI-based global MPPT methods seem to exist in the literature. Therefore, this study compares four representative AI-based global MPPT methods including fuzzy logic control (FLC), particle swarm optimization (PSO), grey wolf optimization (GWO), and genetic algorithm (GA). Each method is theoretically analyzed in detail and compared through simulation studies with MATLAB/Simulink under the same conditions. Based on the results of performance comparison, PSO, GWO, and GA successfully tracked the global maximum power point. In particular, the tracking speed of GA was the fastest among the investigated methods under the given conditions.

• 한국태양에너지학회 논문집
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• 제34권6호
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• pp.1-10
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• 2014

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.

• 전력전자학회논문지
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• 제14권2호
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• pp.89-95
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• 2009

태양광발전시스템에서 태양전지의 최대전력점 추적(MPPT, Maximum Power Point Tracking)은 중요한 부분이다. MPPT 알고리즘은 태양전지가 주어진 일사량 및 온도에 의해 최대전력점에서 동작할 수 있도록 전압($V_{MPP}$), 전류($I_{MPP}$)를 찾는다. 기존의 P&O, IncCond 알고리즘은 듀티를 증가 혹은 감소시키기 위하여 마이크로 프로세서나 DSP를 필요로 한다. 본 논문에서는 간단하면서 빠른 아날로그 MPPT 알고리즘을 제안한다. 이 방식은 기존 방식과 비교해서 매우 빠르게 MPP를 추적할 수 있으며 구현하기 쉽다. 또한 급격히 변하는 일사량에 기존 방식보다 대처가 빠르며 높은 효율을 보여준다.

• 조명전기설비학회논문지
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• 제21권8호
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• pp.54-63
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• 2007

본 논문은 태양광 인버터 시스템의 최대출력을 근사적으로 구하는 새로운 방법과 태양광 추적 방법을 제시한다. 제시한 새로운 MPPT 제어는 LRCM(Linear Reoriented Coordinates Method)이라 하며, 본 논문에서는 PV 어레이를 위한 DC측 동적 방정식과 LRCM을 사용하여 계통연계를 위한 새로운 수학적인 동적 모델을 제시한다. LRCM은 근사적인 해법으로 반복적으로 나타나는 최적 전압과 최대 전력을 결정하며 계산시간을 절약할 수 있다는 장점을 가진다. 또한 태양광 추적 방식은 고정식에 비하여 태양광 발전 효율을 50[%]이상 향상시킨다. 본 논문은 LRCM을 사용한 MPPT와 국내 기상상태에 적합한 프로그램 방식을 이용하여 태양광 추적기법을 제시하고, 실험을 통해 제시한 기법의 타당성을 입증한다.

• 전력전자학회논문지
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• 제6권2호
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• pp.164-172
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• 2001

본 논문에서는 대표적인 MPPT(Maximum Power Point Tracking)제어 알고리즘인 일정전압제어, P&O(Perturbation and Observation)제어, IncCond(Incremental Conductance)제어에 대하여 서술하고, 그 효율성을 검토해 보았다. 이를 위하여 시뮬레이션 및 효율시험을 통하여 정상상태 및 과도상태에 대한 각 알고리즘별 특성 및 효율을 분석하였다. 또한, MPPT 제어의 고효율화를 위하여 기존의 제어 알고리즘을 개선한 Two-Mode 제어법을 제안하였으며, MPPT 효율측정을 위한 회로구성 및 측정 방법을 제시하였다.

• 전력전자학회논문지
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• 제24권2호
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• pp.111-119
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• 2019

In this study, constant power generation (CPG) algorithms are introduced for whole range power point tracking in photovoltaic systems. Currently, maximum power point tracking (MPPT) algorithm is widely used for high-power photovoltaic systems. However, MPPT algorithm cannot flexibly control such systems according to changing grid conditions. Maintaining grid stability has become important as the capacity of grid-connected photovoltaic systems is increased. CPG algorithms are required to generate the desired power depending on grid conditions. A grid-connected photovoltaic system is configured, and CPG algorithms are implemented. The performances of the implemented algorithms are compared and analyzed by experimental results.

• 전기학회논문지
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• 제58권10호
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• pp.1968-1975
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• 2009

The paper proposes a novel control algorithm for tracking maximum power of PV generation system.. The maximum power of PV array is determinated by a insolation and temperature. Prior considered the term in PV generation system is how maximum power point(MPP) is accurately tracked.. The paper proposes a fuzzy neural network(FNN) control algorithm so as to accurately track those maximum power points. The proposed control algorithm comprises the antecedence part of fuzzy rule and clustering method, multi-layer neural network in the consequent part. FNN has the advantages which are depicted both high performance and robustness in fuzzy control and high adaptive control in neural network.. Specially, it can show the outstanding control performance for parameter variations appling to non-linear character of PV array. In this paper, the tracking speed and the accuracy prove the validity through comparing a proposed algorithm with a conventional one.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2010년도 하계학술대회 논문집
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• pp.565-567
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• 2010

This paper proposes a new Maximum Power Point Tracking (MPPT) control algorithm for PV-Cell (Photo voltaic) based on Incremental Conductance MPPT algorithm. The ICN (Incremental Conductance method) algorithm is widely used due to the high tracking accuracy and adaptability to the rapidly changing isolation condition. In this paper, a modified ICN MPPT algorithm is proposed. This method adjusts automatically the step-size of reference to track the PV-Cell maximum power point, thus it improves the maximum power point tracking speed and accuracy.

• 전력전자학회논문지
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• 제25권1호
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• pp.1-5
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• 2020

Solar power generation systems require maximum power point tracking (MPPT) control to operate PV panels at their maximum power point (MPP). Most conventional MPPT algorithms are based on the slope-tracking concept. A typical slope-tracking method is the perturb and observe (P&O) algorithm. The P&O algorithm measures the current and voltage of a PV panel to find the operating point of the voltage at which the calculated power is maximized. However, the measurement error of the sensor causes irregularity in the calculation of the generated power and voltage control. This irregularity leads to the problem of not finding the correct MPP operating point. In this work, the power output of a PV panel based on the P&O algorithm is simulated by considering the insolation profiles from typical clear and cloudy weather conditions and the errors of current and voltage sensors. Simulation analysis suggests the optimal control period and perturbation voltage of MPPT to maximize its target efficiency under real weather conditions with sensor tolerance.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2018년도 전력전자학술대회
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• pp.382-383
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• 2018

To increase the efficiency of a wind energy conversion system (WECS), the maximum power point tracking (MPPT) algorithm is usually employed. This paper proposes an optimal MPPT algorithm which tracks a sudden wind speed change condition fast. The proposed method can be implemented without the prior information on the wind turbine parameters, generator parameters, air density or wind speed. By investigating the directions of changes of the mechanical output power in wind turbine and rotor speed of the generator, the proposed MPPT algorithm is able to determine an optimal speed to achieve the maximum power point. Then, this optimal speed is set to the reference of the speed control loop. As a result, the proposed MPPT algorithm forces the system to operate at the maximum power point by using a three-phase converter. The simulation results based on the PSIM are given to prove the effectiveness of the proposed method.