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An estimation method of photovoltaics power output using satellite images and power flow
Electronics and Communications in Japan ( IF 0.3 ) Pub Date : 2020-06-27 , DOI: 10.1002/ecj.12244
Kazuhiro Yasunami 1 , Osamu Yatsubo 2 , Takashi Washio 3 , Nozomu Takada 4
Affiliation  

There is a growing need to use photovoltaic (PV) technology to mitigate global warming and the depletion of fossil fuels. However, the high network penetration of PVs potentially lessen the stability and the reliability of electrical power systems in various ways. Under its high network penetration, monitoring of the unmeasurable power outputs of PVs is needed for the proper operations of an electrical power system. To suffice this need, a novel method was proposed to estimate the PV power output of the system using the measured power flow and solar radiation intensity estimated from satellite image in our previous work. However, it occasionally causes large estimation errors of the PV power output based on the wrong estimation of parameters induced by a large data sampling interval. To address this issue, in this paper, we improved our proposed method by introducing a parameter estimation procedure to exclude outliers of estimated values and increase the number of data used for estimation. We confirmed its enhanced accuracy using data observed from The Kansai Electric Power Co., Inc.

中文翻译:

利用卫星图像和潮流估计光伏发电量的方法

越来越需要使用光伏(PV)技术来缓解全球变暖和化石燃料的枯竭。但是,PV的高网络渗透率可能会以各种方式降低电力系统的稳定性和可靠性。在其较高的网络渗透率下,需要监视PV的不可测量的功率输出,以使电力系统正常运行。为了满足这一需求,在我们以前的工作中,提出了一种新颖的方法来估计系统的PV功率,该方法使用从卫星图像估计的实测功率流和太阳辐射强度进行估计。然而,基于由大的数据采样间隔引起的对参数的错误估计,有时会引起PV功率输出的大估计误差。为了解决这个问题,在本文中,我们通过引入参数估计程序来排除估计值的异常值并增加用于估计的数据数量,从而改进了我们提出的方法。我们使用关西电力有限公司的数据证实了其准确性的提高。
更新日期:2020-06-27
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