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Title:
Algoritem za izračun napovedi trenutne moči sončne elektrarne s pomočjo nevronskih omrežij
Authors:
ID
Skornšek, Mihael
(
Author
)
ID
Štumberger, Gorazd
(
Author
)
Files:
Skornsek_Stumberger.pdf
(704,58 KB)
MD5: 2F97283679C7BF56153841919B007E6F
PID:
20.500.12556/dkum/39bd4fb1-d709-43b1-93f5-cfcdba14d20c
Language:
Slovenian
Work type:
Not categorized
Typology:
1.08 - Published Scientific Conference Contribution
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
Abstract:
Delo obravnava spremljanje in primerjavo obratovalnih lastnosti sončnih elektrarn. Vsa odstopanja v delovanju lahko spremljamo z dodatnimi meritvami na elektrarni, kot sta sončno obsevanje in temperatura celice. Na podlagi polletnih meritev parametrov delovanja je s pomočjo umetnega nevronskega omrežja v programskem paketu Matlab pripravljen algoritem za izračun napovedane moči sončne elektrarne v danem trenutku, s katerim lahko ovrednotimo pravilno delovanje le-te. Omenjeni algoritem predstavlja nadgradnjo sistema za spremljanje obratovanja sončne elektrarne. Večja razlika med izmerjenimi in z algoritmom določenimi trenutnimi izhodnimi močmi sončne elektrarne kaže na neustrezno delovanje posameznih elementov sončne elektrarne in potrebo po podrobnejšem preverjanju.
Keywords:
algoritmi
,
napovedovanje
,
trenutna moč
,
sončne elektrarne
,
nevronsko omrežje
Publication status:
Published
Number of pages:
Str. [229]-238
PID:
20.500.12556/DKUM-68718
UDC:
621.311
COBISS.SI-ID:
20727062
NUK URN:
URN:SI:UM:DK:SBLLDVAS
Publication date in DKUM:
10.10.2017
Views:
1610
Downloads:
125
Metadata:
Categories:
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Record is a part of a monograph
Title:
26. mednarodno posvetovanje »Komunalna energetika 2017« : (9. do 11. maj 2017, Maribor, Slovenija)
Editors:
Jože Pihler
Place of publishing:
Maribor
Publisher:
Univerzitetna založba Univerze v Mariboru
Year of publishing:
2017
ISBN:
978-961-286-071-4 (PDF)
COBISS.SI-ID:
92729089
Conference organizer:
Univerza v Mariboru, Univerza v Ljubljani, Energetska agencija za Podravje
Secondary language
Language:
English
Title:
Algoritem for predicting solar power plant output power with an artificial neural network
Abstract:
This work deals with the comparison of operating propertis of photovoltaic power plants. All derogations in the operation of photovoltaic power plant can be monitored with additional measurements of solar irradiation and temperature of photovoltaic cells. Based on data acquired during six months operation of discussed photovoltaic power plant an Artificial Neural Network (ANN) has been built in order to predict output power of the power plant. The ANN complements the already existing monitoring system. When the difference between the ANN predicted and measured output power of the photovoltaic power plant is too high, a detail check of the power plant components is required.
Keywords:
algorithm
,
prediction
,
out power
,
solar power plant
,
artificial neural network
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