• 제목/요약/키워드: Solar supercapacitor

검색결과 13건 처리시간 0.02초

PV와 슈퍼캐패시터 하이브리드에너지시스템 모델 및 제어.운영기술 (Modeling and Operation of Hybrid Energy System with Supercapacitor Bank and PV System)

  • 조재훈;홍원표
    • 한국조명전기설비학회:학술대회논문집
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    • 한국조명전기설비학회 2009년도 추계학술대회 논문집
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    • pp.291-295
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    • 2009
  • Economic and environmental concerns over fossil fuels encourage the development of photovoltaic(PV) energy systems. Due to the intermittent nature of solar energy. energy storage is needed in a stand-alone PV system for the purpose of ensuring continuous power flow. Grid-connected PV system that supply power in a critical load demand require to curb power fluctuation. In this case. SCB is a effectiveness in controlling power variation due to intrinsic PV system. We propose the Matlab/Simulink dynamic model and power flow characteristics of a hybrid energy system with PV and SCB.

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DC 마이크로그리드의 동작분석을 위한 하드웨어 시뮬레이터 개발 (Development of Hardware Simulator for Operation Analysis of DC Microgrid)

  • 이지헌;김원용;김종원;한병문
    • 전력전자학회논문지
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    • 제16권6호
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    • pp.577-586
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    • 2011
  • 본 논문에서 DC 마이크로그리드의 동작분석을 위한 하드웨어 시뮬레이터의 개발에 관해 기술하고 있다. 이 하드웨어 시뮬레이터는 분산전원으로 풍력발전, 태양광 발전, 연료전지를, 그리고 에너지저장으로 슈퍼커패시터, 배터리를 포함하고 있다. 또한 전체시스템의 에너지관리와 상태모니터링을 수행하는 중앙제어기를 포함하고 있어 이더넷을 기반으로 한 통신을 통해 각 분산전원과 에너지저장에 탑재된 하위제어기와 연계되어있다. 개발한 하드웨어 시뮬레이터는 실제 상황을 고려한 DC 마이크로그리드의 성능분석에 활용될 것으로 기대된다.

Fault Diagnosis of Transformer Based on Self-powered RFID Sensor Tag and Improved HHT

  • Wang, Tao;He, Yigang;Li, Bing;Shi, Tiancheng
    • Journal of Electrical Engineering and Technology
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    • 제13권5호
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    • pp.2134-2143
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    • 2018
  • This work introduces a fault diagnosis method for transformer based on self-powered radio frequency identification (RFID) sensor tag and improved Hilbert-Huang transform (HHT). Consisted by RFID tag chip, power management circuit, MCU and accelerometer, the developed RFID sensor tag is used to acquire and wirelessly transmit the vibration signal. A customized power management including solar panel, low dropout (LDO) voltage regulator, supercapacitor and corresponding charging circuit is presented to guarantee constant DC power for the sensor tag. An improved band restricted empirical mode decomposition (BREMD) which is optimized by quantum-behaved particle swarm optimization (QPSO) algorithm is proposed to deal with the raw vibration signal. Compared with traditional methods, this improved BREMD method shows great superiority in reducing mode aliasing. Then, a promising fault diagnosis approach on the basis of Hilbert marginal spectrum variations is brought up. The measured results show that the presented power management circuit can generate 2.5V DC voltage for the rest of the sensor tag. The developed sensor tag can achieve a reliable communication distance of 17.8m in the test environment. Furthermore, the measurement results indicate the promising performance of fault diagnosis for transformer.