• Proceedings of the KIPE Conference
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• 2017.07a
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• pp.298-299
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• 2017

본 논문은 태양광 시스템에서 최대 전력점을 추종하기 위해 듀티 제어와 전류제어를 이용한 두 가지 제어 기법이 적용된 P&O 방식 기반의 MPPT 알고리즘을 구현하였다. 듀티 제어를 이용한 MPPT의 경우에는 P-V 특성곡선을 이용한 방식으로, 태양광 시스템에서 발전되는 전력과 전압의 현재값-이전값을 비교하여 컨버터 듀티 변화를 통해 최대 전력점을 추종하도록 제어하였다. 전류제어 방식은 전력과 전류의 현재값-이전값을 비교함에 따라 전류 지령치를 생성하고, PI 제어기를 통해 컨버터 전류를 제어하는 알고리즘으로써 P-I 곡선의 특성을 이용하였다. 두 가지 제어기법을 시뮬레이션을 통해 구현하고 제어특성을 분석하였다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.10
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• pp.5310-5316
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• 2013

Maximum Power Point Tracking (MPPT) method for Photovoltaic (PV) system is implemented in PV inveter and it generate the maximum electric power from PV cell. MPPT method has been studied to have high efficiency and high tracking speed. However, these studies are basically focused on the performance under fixed irradiance condition. Based on the typical Perturbation and Observation (P&O) method, this paper presents the research results on modified P&O method to have a better performance under varying irradiance condition. The modified P&O method can have a better performance under varying irradiance condition because the additional measurements during the MPPT control period are conducted. The proposed MPPT method is verified by using 250kW PV inverter under linearly varying irradiance condition according to EN 50530.

• Journal of Power Electronics
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• v.19 no.5
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• pp.1248-1258
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• 2019

This paper presents a moth-flame optimization (MFO)-based maximum power point tracking (MPPT) method for photovoltaic (PV) systems. The MFO algorithm is a new optimization method that exhibits satisfactory performance in terms of exploration, exploitation, local optima avoidance, and convergence. Therefore, the MFO algorithm is quite suitable for solving multiple peaks of PV systems under partial shading conditions (PSCs). The proposed MFO-MPPT is compared with four MPPT algorithms, namely the perturb and observe (P&O)-MPPT, incremental conductance (INC)-MPPT, particle swarm optimization (PSO)-MPPT and whale optimization algorithm (WOA)-MPPT. Simulation and experiment results demonstrate that the proposed algorithm can extract the global maximum power point (MPP) with greater tracking speed and accuracy under various conditions.

• 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).

• The Transactions of The Korean Institute of Electrical Engineers
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• v.61 no.2
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• pp.231-236
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• 2012

This paper presents the MPPT(Maximum Power Point Tracking)control method of the PMSG wind generation system using the turbine model with a squirrel cage induction motor. The torque of squirrel cage induction turbine model is controlled by mathematization of speed characteristics of real blade. In this paper, maintenance and cost issues into consideration, except for previous method using information of the velocity of the wind speed sensor, the algorithm is presented. The algorithm is controlled by tracking the optimal point, the generator speed and maximum grid power. The vector controls of the generator side converter and the grid side converter are controlled respectively to obtain maximum torque and regulate unity power factor. With Psim simulations and experiments, the efficiency of squirrel cage induction turbine model and the validity of control algorithm are verified.

• Proceedings of the KIPE Conference
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• 2011.11a
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• pp.267-268
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• 2011

In order to increase the efficiency of the PV solar can get maximum power output from a control is up. But MPPT request Converter since Solar module always work MPP about out condition. This paper study of 170W stand-alone PV MPPT system for charge and discharge control system of the battery. The proposed system is a way of Flyback converters, and controls the algorithm used P&O control method and ATmega128.

• The Transactions of the Korean Institute of Electrical Engineers B
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• v.51 no.3
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• pp.142-149
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• 2002

As is well-known, the maximum power point (MPP) of PV power generation system depends on array temperature and solar insolation, it is necessary to track MPP of solar array all the time. Among various MPP control algorithms, the constant voltage control method, the perturbation and observation (P&O) method and the incremental conductance method (IncCond) have drawn many attractions due to the usefulness of each system. In this parer, the effectiveness of above mentioned three different control algorithms are thoroughly investigated via simulations and preposed efficiency evaluation method on experiment. Both the steady-state and transient characteristics of each control algorithms along with measured efficiency are analyzed, respectively. Finally, a novel MPPT control algorithm combining the constant voltage control and IncCond method for low insolation condition is proposed to improve efficiency of the 3KW PV power generation system.

• Proceedings of the KIPE Conference
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• 2014.07a
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• pp.325-326
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• 2014

This paper is research about the Maximum Power Point Tracking following algorism of solar power system attached small electric car. In this paper, we investigate P&O MPPT and Incremental Conduction MPPT among existing MPPT following algorism. And by changing them, the better algorism is proposed being able to follow Maximum Power Point rapidly as amount of solar radiation changes applied to the Solar Energy Generation System.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.28 no.5
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• pp.31-38
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• 2014

Maximum power point tracking method is very important to enhance efficiency of photovoltaic system. Meanwhile a lot of research about MPPT has been studied and developed new one better than a method of the past. This paper deals with Perturb and Observation that are most commonly used. Tracking parameter changed PV voltage for PV current and it was simulated with P-SIM program. The P&O tracking method to use current for parameter lows ripple rate of output and enhances response rate of tracking. Through this study, it has been demonstrated that method using current for tracking parameter is effective.

• Proceedings of the KIEE Conference
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• 2005.10c
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• pp.334-336
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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. 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.