Power operation optimization of photovoltaic stand alone system with variable loads using fuzzy voltage estimator and neural network controller

B. Chuco Paucar; J. L. Roel Ortiz; K. S. Collazos L; L. C. Leite; J. O.P. Pinto

doi:10.1109/PCT.2007.4538375

Power operation optimization of photovoltaic stand alone system with variable loads using fuzzy voltage estimator and neural network controller

B. Chuco Paucar, J. L. Roel Ortiz, K. S. Collazos L, L. C. Leite, J. O.P. Pinto

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Scopus citations

Abstract

This work presents the simulation of a maximum voltage estimator and control system to maintain the photovoltaic (PV) generator in the maximum power point, independent of load variations. A fuzzy logic systems (FLS) is implzemented, to estimate, from radiation and temperature data, the maximum voltage of operation of PV generator. The charge and discharge of the battery and the SOC battery are controlled with a radial basis function neural network (RBF-NN).

Original language	English
Title of host publication	2007 IEEE Lausanne POWERTECH, Proceedings
Pages	544-548
Number of pages	5
DOIs	https://doi.org/10.1109/PCT.2007.4538375
State	Published - 2007
Externally published	Yes
Event	2007 IEEE Lausanne POWERTECH - Lausanne, Switzerland Duration: Jul 1 2007 → Jul 5 2007

Publication series

Name	2007 IEEE Lausanne POWERTECH, Proceedings

Conference

Conference	2007 IEEE Lausanne POWERTECH
Country/Territory	Switzerland
City	Lausanne
Period	07/1/07 → 07/5/07

Keywords

Fuzzy systems
Maximum power
Maximum voltage
Photovoltaic systems

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10.1109/PCT.2007.4538375

Cite this

Chuco Paucar, B., Roel Ortiz, J. L., Collazos L, K. S., Leite, L. C., & Pinto, J. O. P. (2007). Power operation optimization of photovoltaic stand alone system with variable loads using fuzzy voltage estimator and neural network controller. In 2007 IEEE Lausanne POWERTECH, Proceedings (pp. 544-548). Article 4538375 (2007 IEEE Lausanne POWERTECH, Proceedings). https://doi.org/10.1109/PCT.2007.4538375

@inproceedings{09246b85e7f44403961473dfda5d8ee0,

title = "Power operation optimization of photovoltaic stand alone system with variable loads using fuzzy voltage estimator and neural network controller",

abstract = "This work presents the simulation of a maximum voltage estimator and control system to maintain the photovoltaic (PV) generator in the maximum power point, independent of load variations. A fuzzy logic systems (FLS) is implzemented, to estimate, from radiation and temperature data, the maximum voltage of operation of PV generator. The charge and discharge of the battery and the SOC battery are controlled with a radial basis function neural network (RBF-NN).",

keywords = "Fuzzy systems, Maximum power, Maximum voltage, Photovoltaic systems",

author = "{Chuco Paucar}, B. and {Roel Ortiz}, {J. L.} and {Collazos L}, {K. S.} and Leite, {L. C.} and Pinto, {J. O.P.}",

year = "2007",

doi = "10.1109/PCT.2007.4538375",

language = "English",

isbn = "9781424421909",

series = "2007 IEEE Lausanne POWERTECH, Proceedings",

pages = "544--548",

booktitle = "2007 IEEE Lausanne POWERTECH, Proceedings",

note = "2007 IEEE Lausanne POWERTECH ; Conference date: 01-07-2007 Through 05-07-2007",

}

Chuco Paucar, B, Roel Ortiz, JL, Collazos L, KS, Leite, LC & Pinto, JOP 2007, Power operation optimization of photovoltaic stand alone system with variable loads using fuzzy voltage estimator and neural network controller. in 2007 IEEE Lausanne POWERTECH, Proceedings., 4538375, 2007 IEEE Lausanne POWERTECH, Proceedings, pp. 544-548, 2007 IEEE Lausanne POWERTECH, Lausanne, Switzerland, 07/1/07. https://doi.org/10.1109/PCT.2007.4538375

Power operation optimization of photovoltaic stand alone system with variable loads using fuzzy voltage estimator and neural network controller. / Chuco Paucar, B.; Roel Ortiz, J. L.; Collazos L, K. S. et al.
2007 IEEE Lausanne POWERTECH, Proceedings. 2007. p. 544-548 4538375 (2007 IEEE Lausanne POWERTECH, Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Power operation optimization of photovoltaic stand alone system with variable loads using fuzzy voltage estimator and neural network controller

AU - Chuco Paucar, B.

AU - Roel Ortiz, J. L.

AU - Collazos L, K. S.

AU - Leite, L. C.

AU - Pinto, J. O.P.

PY - 2007

Y1 - 2007

N2 - This work presents the simulation of a maximum voltage estimator and control system to maintain the photovoltaic (PV) generator in the maximum power point, independent of load variations. A fuzzy logic systems (FLS) is implzemented, to estimate, from radiation and temperature data, the maximum voltage of operation of PV generator. The charge and discharge of the battery and the SOC battery are controlled with a radial basis function neural network (RBF-NN).

AB - This work presents the simulation of a maximum voltage estimator and control system to maintain the photovoltaic (PV) generator in the maximum power point, independent of load variations. A fuzzy logic systems (FLS) is implzemented, to estimate, from radiation and temperature data, the maximum voltage of operation of PV generator. The charge and discharge of the battery and the SOC battery are controlled with a radial basis function neural network (RBF-NN).

KW - Fuzzy systems

KW - Maximum power

KW - Maximum voltage

KW - Photovoltaic systems

UR - http://www.scopus.com/inward/record.url?scp=50849089605&partnerID=8YFLogxK

U2 - 10.1109/PCT.2007.4538375

DO - 10.1109/PCT.2007.4538375

M3 - Conference contribution

AN - SCOPUS:50849089605

SN - 9781424421909

T3 - 2007 IEEE Lausanne POWERTECH, Proceedings

SP - 544

EP - 548

BT - 2007 IEEE Lausanne POWERTECH, Proceedings

T2 - 2007 IEEE Lausanne POWERTECH

Y2 - 1 July 2007 through 5 July 2007

ER -

Power operation optimization of photovoltaic stand alone system with variable loads using fuzzy voltage estimator and neural network controller

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