A Low-cost and Stand-alone Ground Based Sensing Station for Efficient Solar Forecasting in PV Power Systems

Lei, Qiyang, Liu, Xiaozhou, Xiao, Weidong, and Du, Yang (2021) A Low-cost and Stand-alone Ground Based Sensing Station for Efficient Solar Forecasting in PV Power Systems. In: Proceedngs of the 47th Annual Conference of the IEEE Industrial Electronics Society. From: IECON 2021: 47th Annual Conference of the IEEE Industrial Electronics Society, 13-16 October 2021, Toronto, Canada.

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Abstract

The fast growth of solar PV power generation weighs more on fluctuating power and causes grid disturbance due to unpredictable weather conditions. Industry relies on either energy storage or solar forecasting to mitigate the power intermittency and maintain grid stability. The forecasting scheme requires sensors dispatched to report solar irradiance in real-time. This paper presents a novel sensing solution and demonstrates the advantages in terms of high bandwidth and cost effectiveness. The development shows significant improvement in terms of mobility and performance. The advance of Internet of Things (IoT) and wireless communication is adopted and dedicated to the newly developed sensor station.

Item ID: 72907
Item Type: Conference Item (Research - E1)
ISBN: 9781665435543
Keywords: forecast, photovoltaic, prediction, sensing network, sensor, solar irradiance, transducer
Copyright Information: © IEEE
Date Deposited: 30 Mar 2022 02:00
FoR Codes: 40 ENGINEERING > 4008 Electrical engineering > 400808 Photovoltaic power systems @ 80%
40 ENGINEERING > 4008 Electrical engineering > 400801 Circuits and systems @ 20%
SEO Codes: 17 ENERGY > 1708 Renewable energy > 170804 Solar-photovoltaic energy @ 100%
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