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Title:Intra-minute cloud passing forecasting based on a low cost iot sensor - a solution for smoothing the output power of PV power plants
Authors:ID Sukič, Primož (Author)
ID Štumberger, Gorazd (Author)
Files:.pdf Sensors_2017_Sukic,_Gtumberger_Intra-Minute_Cloud_Passing_Forecasting_Based_on_a_Low_Cost_IoT_Sensor—A_Solution_for_Smoothing_the_Output.pdf (8,15 MB)
MD5: 8D737428561C4987FC7A1BDE4876068A
PID: 20.500.12556/dkum/8544501c-1c7a-4606-8601-0789c2321860
 
URL http://www.mdpi.com/1424-8220/17/5/1116
 
Language:English
Work type:Scientific work (r2)
Typology:1.01 - Original Scientific Article
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Clouds moving at a high speed in front of the Sun can cause step changes in the output power of photovoltaic (PV) power plants, which can lead to voltage fluctuations and stability problems in the connected electricity networks. These effects can be reduced effectively by proper short-term cloud passing forecasting and suitable PV power plant output power control. This paper proposes a low-cost Internet of Things (IoT)-based solution for intra-minute cloud passing forecasting. The hardware consists of a Raspberry PI Model B 3 with a WiFi connection and an OmniVision OV5647 sensor with a mounted wide-angle lens, a circular polarizing (CPL) filter and a natural density (ND) filter. The completely new algorithm for cloud passing forecasting uses the green and blue colors in the photo to determine the position of the Sun, to recognize the clouds, and to predict their movement. The image processing is performed in several stages, considering selectively only a small part of the photo relevant to the movement of the clouds in the vicinity of the Sun in the next minute. The proposed algorithm is compact, fast and suitable for implementation on low cost processors with low computation power. The speed of the cloud parts closest to the Sun is used to predict when the clouds will cover the Sun. WiFi communication is used to transmit this data to the PV power plant control system in order to decrease the output power slowly and smoothly.
Keywords:photovoltaic power plant, cloud passing forecasting, algorithm, sensor, Raspberry Pi, camera, wide-angle lens, optical filters, internet of things
Year of publishing:2017
Publication status in journal:Published
Article version:Publisher's version of article
Number of pages:str. 1-20
Numbering:Letn. 17, št. 5
PID:20.500.12556/DKUM-66955 New window
UDC:621.31
COBISS.SI-ID:20570134 New window
DOI:10.3390/s17051116 New window
NUK URN:URN:SI:UM:DK:NARQE8IH
Publication date in DKUM:20.07.2017
Views:2058
Downloads:386
Metadata:XML RDF-CHPDL DC-XML DC-RDF
Categories:Misc.
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Record is a part of a journal

Title:Sensors
Shortened title:Sensors
Publisher:MDPI
ISSN:1424-8220
COBISS.SI-ID:10176278 New window

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:20.07.2017

Secondary language

Language:Slovenian
Keywords:fotovoltaična elektrarna, napovedovanje premikanja oblakov, algoritmi, senzorji, Raspberry Pi, kamera, širokokotni objektiv, optični filtri, internet stvari


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