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Naslov:Intra-minute cloud passing forecasting based on a low cost iot sensor - a solution for smoothing the output power of PV power plants
Avtorji:ID Sukič, Primož (Avtor)
ID Štumberger, Gorazd (Avtor)
Datoteke:.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
 
Jezik:Angleški jezik
Vrsta gradiva:Znanstveno delo (r2)
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FERI - Fakulteta za elektrotehniko, računalništvo in informatiko
Opis: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.
Ključne besede:photovoltaic power plant, cloud passing forecasting, algorithm, sensor, Raspberry Pi, camera, wide-angle lens, optical filters, internet of things
Leto izida:2017
Status objave pri reviji:Objavljeno
Verzija članka:Založnikova različica članka
Št. strani:str. 1-20
Številčenje:Letn. 17, št. 5
PID:20.500.12556/DKUM-66955 Novo okno
UDK:621.31
COBISS.SI-ID:20570134 Novo okno
DOI:10.3390/s17051116 Novo okno
NUK URN:URN:SI:UM:DK:NARQE8IH
Datum objave v DKUM:20.07.2017
Število ogledov:1930
Število prenosov:379
Metapodatki:XML RDF-CHPDL DC-XML DC-RDF
Področja:Ostalo
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Skupna ocena:(0 glasov)
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Gradivo je del revije

Naslov:Sensors
Skrajšan naslov:Sensors
Založnik:MDPI
ISSN:1424-8220
COBISS.SI-ID:10176278 Novo okno

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
Začetek licenciranja:20.07.2017

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:fotovoltaična elektrarna, napovedovanje premikanja oblakov, algoritmi, senzorji, Raspberry Pi, kamera, širokokotni objektiv, optični filtri, internet stvari


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