TY - CHAP
T1 - Discrimination of nonlinear loads in electric energy generation systems using harmonic information
AU - de Dios Fuentes Velandia, Juan
AU - Orjuela-Cañón, Alvaro David
AU - Tangarife Escobar, Héctor Iván
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2018.
PY - 2018
Y1 - 2018
N2 - This paper contains a proposal to determine the kind of nonlinear load when are connected to the solar or conventional generation system. A database was built with sampled signals extracted from the photovoltaic system of the National Learning Service (SENA) in Bogota, Colombia. The used methodology has an acquisition system of voltage signals, and then, information from harmonic distortion was employed to identify the nonlinear loads. An artificial neural network was implemented to discriminate appliances with supervised learning. Two proposals were implemented. First one was based on energy information and second one was worked with wave peaks information. Results show that a classification rate of 95% could be reached in a problem with eight classes.
AB - This paper contains a proposal to determine the kind of nonlinear load when are connected to the solar or conventional generation system. A database was built with sampled signals extracted from the photovoltaic system of the National Learning Service (SENA) in Bogota, Colombia. The used methodology has an acquisition system of voltage signals, and then, information from harmonic distortion was employed to identify the nonlinear loads. An artificial neural network was implemented to discriminate appliances with supervised learning. Two proposals were implemented. First one was based on energy information and second one was worked with wave peaks information. Results show that a classification rate of 95% could be reached in a problem with eight classes.
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U2 - 10.1007/978-3-030-03023-0_6
DO - 10.1007/978-3-030-03023-0_6
M3 - Chapter
AN - SCOPUS:85058998061
SN - 9783030030223
T3 - Communications in Computer and Information Science
SP - 63
EP - 74
BT - Applications of Computational Intelligence - First IEEE Colombian Conference, ColCACI 2018, Medellín, Colombia, May 16–18, 2018, Revised Selected Papers
A2 - Orjuela-Cañón, Alvaro David
A2 - Figueroa-García, Juan Carlos
A2 - Arias-Londoño, Julián David
PB - Springer
T2 - 1st IEEE Colombian Conference on Applications in Computational Intelligence, ColCACI 2018
Y2 - 16 May 2018 through 18 May 2018
ER -