• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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• 2007.11a
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• pp.301-305
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• 2007

This paper is proposed by fuzzy-based MPPT control of photovoltaic to drive induction motor. Design and prototype implement of a fuzzy logic(FL) controller for maxim]m power extraction from a stand-alon photovoltaic Is proposed in this paper. Error and the change of error between maximum power and real power are used by input of fuzzy controller. Moreover, it output changing of voltage from control constant. The validity of this paper is proved by comparing maximum power point tracking and performance of motor drive through comparison fuzzy and PI of tradition method.

• Proceedings of the KIEE Conference
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• 2007.10c
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• pp.154-156
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• 2007

This paper proposes new control method of maximum power point tracking for the seaflow generation system. This control system is performed by using the duty ratio control of DC/DC converter. An advantage of MPPT(Maximum Power Point Tracking)control method presented in this paper is not necessary to use the seaflow turbine characteristic at various seaflow speed and measure the tidal speed and/or the rotation speed of the seaflow generator. Therefore the resulting system ha s the characteristics of lower cost, higher efficiency and lower complexity. The fuzzy controller is used to control the duty ratio of DC/DC converter. So the reactivity and the reliablilty of the generation system is developed. Proposed control method was analyzed mathematically and tested by computer simulation by using Matlab $Simulink^{(R)}$.

• The Transactions of the Korean Institute of Power Electronics
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• v.5 no.5
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• pp.467-474
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• 2000

This paper describes the development of 7he utility vehicle controller using combination system of battery and photovoltaic power for increasing operation time. In order to keep interchangeability, low cost and high performance, a separately excited DC Motor is controlled without velocity and current measurements by $\mu$-processor. For the parallel operation between the solar cell and battery, dc-dc converter is used, which is applied to the maximum power Point tracking(MPPT) and current control algorithm. By the simulation and experimental results of trial product, the vapidity of the proposed system is verified.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.56 no.1
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• pp.106-111
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• 2007

In this study, we designed a digital fuzzy logic controller based on FPGA and microprocessor for MPPT of the sofar power generation system. A fuzzy algorithm to control the power tracking function of a boost converter has been built into the FPGA, and applied to the small scaled solar power generation system. The embodied controller showed a stable operation characteristic with the small output voltage ripple for the intensity change of solar radiation. This result proves that the implementation of the power tracking controller using FPGA is an effective way compared to the existing one using microprocessor.

• Proceedings of the KIPE Conference
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• 2014.07a
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• pp.37-38
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• 2014

본 논문은 다중 모듈 통합형 태양광 발전 시스템의 발전 단가를 낮추기 위한 MPPT(Maximum Power Point Tracking) 방법에 관한 것이다. 기존의 다중 모듈 통합형 태양광 발전 시스템에서는 각 모듈마다 MPPT 동작을 필요로 하기 때문에 전류센서와 전압센서를 모두 사용하며, 이는 발전 단가를 상승시키는 원인 중 하나가 된다. 본 논문에서는 시스템의 제작비용을 낮추기 위하여 다중 모듈 통합형 태양광 발전 시스템에서 상대적으로 가격이 비싼 전류센서의 사용을 줄여, 여러 개의 모듈에서도 하나의 전류센서만을 사용하는 MPPT 방법을 제안하고 PSIM 시뮬레이션과 실험을 통해 입증하고자 한다.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.16 no.4
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• pp.281-292
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• 2016

The proposed scheme is based on the modified perturb and observe (P&O) algorithm combined with the sliding mode technique. A modified P&O algorithm based sliding mode controller is developed to study the effects of partial shade, temperature, and insolation on the performance of maximum power point tracking (MPPT) used in photovoltaic (PV) systems. Under partially shaded conditions and temperature, the energy conversion efficiency of a PV array is very low, leading to significant power losses. Consequently, increasing efficiency by means of MPPT is particularly important. Conventional techniques are easy to implement but produce oscillations at MPP. The proposed method is applied to a model to simulate the performance of the PV system for solar energy usage, which is compared to the conventional methods under non-uniform insolation improving the PV system utilization efficiency and allowing optimization of the system performance. The modified perturb and observe sliding mode controller successfully overcomes the issues presented by non-uniform conditions and tracks the global MPP. Compared to MPPT techniques, the proposed technique is more efficient; it produces less oscillation at MPP in the steady state, and provides more precise tracking.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.23 no.1
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• pp.41-48
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• 2009

This paper presents an Neural Network(NN) controller for Maximum Power Point Tracking (MPPT) of PV supplied DC motor. A variation of solar irradiation is most important factor in the MPPT of PV system. That is nonlinear, aperiodic and complicated. NN was widely used due to easily solving a complex math problem. Proposed photovoltaic system consists of NN, 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.

• Journal of Electrical Engineering and Technology
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• v.9 no.5
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• pp.1447-1453
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• 2014

This paper proposes the new method based on the availability of three points measurement and convexity of photovoltaic (PV) curve characteristic at the maximum power point (MPP). In general, the MPP tracking (MPPT) function is the important part of all PV systems due to their power-voltage (P-V) characteristics related with weather conditions. Then, the analog-to-digital converter (ADC) and low pass filter (LPF) are required to measure the voltage and current for MPPT by the digital controller, which is used to implement the PV power conditioning system (PCS). The measurement and quantization error due to rounding or truncation in ADC and the delay of LPF might degrade the reliability of MPPT. To overcome this limitation, the proposed method is proposed while improving the performances in both steady-state and dynamic responses based on the detailed investigation of its properties for availability and convexity. The performances of proposed method are evaluated with the several case studies by the PSCAD/EMTDC$^{(R)}$ simulation. Then, the experimental results are given to verify its feasibility in real-time.

• The Transactions of the Korean Institute of Power Electronics
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• v.6 no.6
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• pp.498-505
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• 2001

This paper shows how to design a global control of water pumping system using PV array, and tracked maximum power point of PV array only the inverter using the vector control of BLDC motor, and finding the relationships among the DC magnitudes and AC ones in order to omit the DC/DC converter. Conventional MPPT controller was unstable of reason of the ripple-current of DC link in three-phase invertor. Thus, in this paper the control algorithm of BLDC motor using $i_qs$ current is composed to improve the insecurity of conventional MPPT controller To prove the excellence of the proposed method, the contents of this paper is analyzed by means of simulation and testing for the results applying the method that J. A Domfnguez had applied to asynchronous motor to BLDC motor and that of the proposed method in this paper.

• The Transactions of the Korean Institute of Power Electronics
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• v.25 no.1
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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.