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Big Data Analysis and Processing for Remote Control of PV Facilities

태양광발전설비 원격 관제를 위한 빅데이터 분석 및 처리

  • Received : 2018.05.31
  • Accepted : 2018.08.15
  • Published : 2018.08.31

Abstract

In order to increase the generation of renewable energy, it is necessary to increase or decrease the generation amount of existing generators. The generators that respond rapidly to increase / decrease the generation amount generally have high generation cost. Therefore, Cost effectiveness is affected. In this paper, we propose a PV remote control system with big data to minimize the uncertainty of solar power generation prediction.

신재생에너지의 발전량 변동에 따라 기존 발전기의 발전량을 증가시키거나 감소시켜야 하는데, 발전량 증 감발에 빠르게 반응을 하는 발전기들은 상대적으로 발전비용이 크므로 태양광발전의 예측 정확도에 따라서 기동발전계획의 비용 효율성이 영향을 받게 된다. 이에 본 논문에서는 태양광 발전량 예측의 불확실성을 최소화하기 위하여 빅데이터 분석 및 처리를 적용한 태양광발전설비 원격관제 시스템을 제안하였다.

Keywords

References

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