• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.484-487
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• 2015

This paper describes a dual-input battery charger with MPPT control using photovoltaic and piezoelectric energy. Each energy is harvested from photovoltaic cells and piezoelectric cells and is stored to each capacitor. The battery voltage is boosted by charger block and two energy sources are used as input to charge battery capacitor. A DC-DC boost converter is designed to boost the battery voltage, and inductor sharing technique is employed such that only one inductor is required. The time division ratio for piezoelectric cell and photovoltaic cell is set to 8:1. The proposed circuit is designed in a 0.35um CMOS process technology. The condition of battery capacitor is managed by battery management block and the battery voltage can be boosted up to 3V. The maximum efficiency of the designed entire system is 88.56%, and the chip area including pads is $1230um{\times}1330um$.

• Proceedings of the KIPE Conference
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• 2011.11a
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• pp.61-62
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• 2011

기존의 직렬 연결된 부스트 컨버터 타입의 태양광 전력 조절기는 MPPT 동작을 하기에 있어서 반드시 하나의 모듈만 동작했어야 하기 때문에 각 모듈이 MPPT 지점에 도달했다는 것을 알리기 위하여 양방향 통신 기술을 필요로 했다. 하지만 제안하는 MPPT 방법은 통신 기능을 사용하지 않음으로서 가격적인 측면에서 합리적이다. 본 논문에서는 제안하는 MPPT 방법의 동작원리를 설명하고 시뮬레이션으로 확인하였다.

• 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.

• Journal of Power Electronics
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• v.18 no.4
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• pp.1201-1210
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• 2018

The applications of thermoelectric generators (TEGs) have received a lot of attention both in terms of harvesting waste thermal energy and the need for multi-levels of power. It is critical to track the optimum electrical operating point using DC to DC converters controlled by a pulse that is generated through a maximum power point tracking algorithm (MPPT). In this paper, the hardware implementation of a short-current pulse algorithm has been demonstrated under steady stated and transient conditions. In addition, the MPPT algorithm has been proposed, which is one of the most effective and applicable algorithms for obtaining the maximum power point of TEGs. During this study, the proposed prototype has been validated both analytically and experimentally. It has also demonstrated successful performance, which highlights the claimed advantages of the proposed MPPT solution.

• Proceedings of the KIPE Conference
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• 2017.11a
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• pp.89-90
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• 2017

본 논문에서는 일사량 데이터를 이용한 태양광 부스트 컨버터의 MPPT 성능분석에 대한 연구를 제안한다. 실외 실험을 통해 일사계(Pyranometer)로 측정한 일사량 데이터와 그에 따른 태양광 패널의 출력 데이터를 검토하여 부스트 컨버터의 MPPT 성능을 테스트 하였으며, 측정한 일사량 데이터를 토대로 수행한 시뮬레이션과 실험결과를 비교 분석하였다.

• Proceedings of the KIEE Conference
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• 1995.11a
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• pp.238-241
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• 1995

In this paper, a new Maximum Power Point Tractor (MPPT) using Fuzzy Controller is proposed to improve energy convention efficiency. Temperature compensation effect means the photovoltaic voltage is change in condition irradiation, temperature and etc. Fuzzy algorithm is applied to control Boost MPPT converter by Temperature compensation effect. Temperature compensation range is $-40\sim+100^{\circ}C$.

• Proceedings of the KIPE Conference
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• 2018.07a
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• pp.370-371
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• 2018

Recently, interest in renewable energy is increasing due to energy depletion and environmental problems. Among them, solar energy is the most popular feature for its infinite, eco-friendly, easy to maintain and high utilization. In these solar power systems, solar cells have either a current-voltage characteristic curve or a power-voltage characteristic curve with non-linear properties. Therefore, the Maximum Power Point Tracking (MPPT) technique is important to control this. In this thesis, we will discuss MPPT techniques using a boost converter and demonstrate their behavior using the PSIM program. Also, the MPPT control algorithm for solar energy generation will be proposed.

• Proceedings of the KIPE Conference
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• 2018.07a
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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.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.29 no.2
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• pp.27-32
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• 2015

A maximum power point tracking (MPPT) algorithm using fuzzy controller was considered. MPPT method was implemented based on the voltage and reference PV voltage value was obtained from Artificial Neural Network (ANN)-model of PV modules. Therefore, measuring only the PV module voltage is adequate for MPPT operation. Fuzzy controller is used to directly control dc-dc buck converter. The simulation results have been used to verify the effectiveness of the algorithm. The proposed method is compared with conventional PO(perturbation & observation), IC(Incremental Conductance) method. The nonlinearity and adaptiveness of fuzzy controller provided good performance under parameter variations such as solar irradiation.

• Proceedings of the KIEE Conference
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• 1995.07a
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• pp.437-439
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• 1995

In this paper, a mew maximum power point tracker (MPPT) using Fuzzy Controller is proposed to improve energy conversion efficiency. Temperature compensation effect means that Photovoltaic voltage is change in condition irradiation, temperature and ect. Fuzzy algorithm is applied to control Boost MPPT converter by Temperature compensation effect. In this paper, temperature compensation range is $-40^{\circ}C{\sim}+100^{\circ}C$.