• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.24 no.4
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• pp.166-176
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• 2010

The output characteristics of photovoltaic(PV) arrays are nonlinear and are affected by the temperature and solar insolation of cells. Maximum power point tracking(MPPT) methods are used to maximize PV array output power by tracking maximum power point(MPP) continuously. To increase the output efficiency of PV system, it is important to have more efficient MPPT. This paper proposes a novel maximum power point tracking(MPPT) control algorithm considering insolation to improve efficiency of PV system. The proposed algorithm is composed perturb and observe(P&O) method and constant voltage(CV) method. The proposed method is simulated under varying operating conditions. The effectiveness of these different MPPT methods is investigated thoroughly by PSIM simulation. The simulation results show that this proposed method provides better performance than conventional methods at a variable insolation without self-excited vibration of the power. By the simulation results, the validity of the proposed HB method is proved.

• The Journal of Korean Institute of Information Technology
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• v.17 no.9
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• pp.19-30
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• 2019

Photovoltaic power generation requires MPPT algorithm to track stable and efficient maximum power output power point according to external changes such as solar radiation and temperature. This study implemented a model that could track MPP more quickly than original MPPT algorithm using artificial neural network. The proposed model finds the current and voltage of MPP using the original MPPT algorithm for various combinations of insolation and temperature for training data of artificial neural networks. The acquired MPP data was learned using the input node as insolation and temperature and the output node as the current and voltage. The Experiment results show tracking time of the original algorithms P&O, InC and Fuzzy were respectively 0.428t, 0.49t and 0.4076t for the 0t~0.3t range, and MPP tracking time of the proposed model was 0.32511t and it is 0.1t faster than the original algorithms.

• Proceedings of the KIPE Conference
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• 2011.07a
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• pp.512-513
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• 2011

본 논문에서는 PMSG(Permanent Magnet Synchronous Generator)의 가변속-고정피치(Variable-Speed Fixed-Pitch) 풍력발전시스템을 위한 FLC를 기반으로 하는 최대 전력점제어(MPPT) 알고리즘을 제시한다. 최근에는 풍속변화에 대응하여 최대전력을 발생할 수 있는 가변속 풍력발전 시스템에 대한 연구가 활발히 진행 중이다. 국내의 지형적 조건에 따른 바람의 영향으로 풍력발전 시스템의 MPPT제어가 반드시 필요하다. 종래의 풍력발전 MPPT 제어는 응답속도 등에 대한 문제점이 나타난다. 따라서 본 논문에서는 이러한 문제점을 해결하기 위해 파라미터 변동에 강인한 FLC를 기반으로 하는 최대 전력점 제어(MPPT)를 제시한다. 또한 본 논문에서 제시한 알고리즘은 시뮬레이션 결과를 통해 타당성을 입증한다.

• Proceedings of the KIPE Conference
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• 2003.07b
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• pp.925-928
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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 paper 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.

• The Transactions of the Korean Institute of Power Electronics
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• v.14 no.2
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• pp.89-95
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• 2009

Tracking the Maximum Power Point(MPP) of a photovoltaic(PV) array is usually an essential part of a PV system. The problem considered by MPPT techniques is to find the voltage $V_{MPP}$ or current $I_{MPP}$ at which a PV array should operate to generate the maximum power output PMPP under a given temperature and irradiance. The MPPT control methods, such as the perturb and observe method and the incremental conductance method require microprocessor or DSP to determine if the duty cycle should be increased or not. This paper proposes a simple and fast analog MPPT method. The proposed control scheme will track the MPP very fast and its hardware implementation is so simple, compared with the conventional techniques. The new algorithm has successfully tracked the MPP, even in case of rapidly changing atmospheric conditions, and Has higher efficiency than ordinary algorithms.

• Journal of Advanced Navigation Technology
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• v.24 no.4
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• pp.291-298
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• 2020

This study proposed a model that can track MPP faster than the existing MPPT algorithm using the particle swarm optimization algorithm (PSO). The proposed model highly sets the acceleration constants of gbest and pbest in the PSO algorithm to quickly track the MPP point and eliminates the power instability problem. In addition, this algorithm was re-executed by detecting the change in power of the solar panel according to the rapid change in solar radiation. As a result of the experiment, MPP time was 0.03 seconds and power was 131.65 for 691.5 W/m2, and MPP was tracked at higher power and speed than the existing P&O and INC algorithms. The proposed model can be applied when a change in the amount of power is detected by partial shading in a Photovoltaic power plant with Photovoltaic connected in parallel. In order to improve the MPPT algorithm, this study needs a comparative study on optimization algorithms such as moth flame optimization (MFO) and whale optimization algorithm (WOA).

• 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.

• The Transactions of the Korean Institute of Power Electronics
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• v.10 no.1
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• pp.21-28
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• 2005

As the maximum power operating point(MPOP) of the Photovoltaic(PV) power systems alters with changing atmospheric conditions, the efficiency of maximum power point tracking(MPPT) is important in PV power systems. Many MPPT techniques have been considered in the past, but techniques using microprocessors with appropriate MPPT algorithms are favored because of their flexibility and compatibility with different PV arrays. In this paper, the author analyzes and studies two MPPT algorithms, which is named P&O(Perturbation and Observation) and IncCond(Incremental Conductance). Also, the author proposes Hysterisis-band alteration algorithm. To show the excellency of new Hysterisis-band alteration, the author suggests three references; 1) Comparing three MPPT algorithms in the steady-state condition, 2) Representing irradiation variation rapidly, 3) Showing MPPT efficiency. MPPT simulation and experiment perform in the boost converter.

• Proceedings of the KIPE Conference
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• 2011.07a
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• pp.514-515
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• 2011

본 논문은 풍력발전 시스템을 위한 종래의 HCS MPPT 알고리즘의 문제점을 위한 새로운 방법을 제시한다. 종래의 HCS MPPT 알고리즘은 스텝크기에 따른 효율변화와 바람의 변화 조건에서 잘못된 최대전력점 추종 결과를 나타낸다. 이러한 문제점을 해결하기 위해 바람이 변화되는 조건에서 최대전력점 추종을 위한 스텝크기를 지능적으로 변화시킨다. 이를 위해 새로운 최대전력점 검출 능력은 바람의 변화조건에 강인하게 동작될 수 있도록 설계한다. 제시한 알고리즘은 시뮬레이션 결과를 통해 타당성을 입증한다.

• Journal of the Korean Solar Energy Society
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• v.35 no.6
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• pp.17-24
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• 2015

The MPPT(Maximum Power Point Tracking) techniques are employed in photovoltaic (PV) systems to maximize the PV array output power which depends on solar irradiance and temperature. The dynamic MPPT performance under varying irradiance conditions affects the impact on overall PV system performance. This paper presents the improved MPPT algorithm by the simulation comparison with other algorithms. The simulation models are made by the Matlab & Simulink. The result of simulation, the dynamic MPPT efficiency of proposed algorithm is higher than the other algorithms.