Diagnosis method of output power lowering of PV system by using Kalman Filter algorithm

Byung Kwan Kang, Seung Tak Kim, Hyun Gu Lee, Sun Ho Bae, Jung Wook Park

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish
Pages (from-to)1537-1546
Number of pages10
JournalTransactions of the Korean Institute of Electrical Engineers
Issue number8
Publication statusPublished - 2011 Aug

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering


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