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Kalman Filter 알고리즘을 이용한 태양광 발전 시스템의 출력저하 진단법

Diagnosis Method of Output Power Lowering of PV System by Using Kalman Filter Algorithm

  • 강병관 (연세대 전기전자공학부) ;
  • 김승탁 (연세대 전기전자공학부) ;
  • 이현구 (연세대 전기전자공학부) ;
  • 배선호 (연세대 전기전자공학부) ;
  • 박정욱 (연세대 전기전자공학부)
  • 투고 : 2011.03.16
  • 심사 : 2011.07.19
  • 발행 : 2011.08.01

초록

The photovoltaic(PV) generation system have recently become widely used to solve the environmental problems and running out of fossil fuels. However, the study on maintenance is inadequate for PV system. This paper proposes the novel diagnosis method of output power decline to maintain the normal output performance of PV array. The diagnosis method used the proportional relation of irradiation-output current(S-I) of PV array at maximum power point(MPP). And, first order polynomial using the relation is proposed to easily apply PV system. To estimate the relation in case of separation of PV array producer and diagnosis system producer. Kalman Filter algorithm is also proposed at 30.2kW grid-connected PV system. Then, the performance of diagnosis method is evaluated using the hardware tests as well as the simulation.

키워드

참고문헌

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