Computational intelligence based regulation of the dc bus in the on-grid photovoltaic system

Mauridhi Hery Purnomo; Iwan Setiawan; Ardyono Priyadi

doi:10.1007/978-981-287-988-2_1

Computational intelligence based regulation of the dc bus in the on-grid photovoltaic system

Mauridhi Hery Purnomo^*
, Iwan Setiawan
, Ardyono Priyadi

^*Corresponding author for this work

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

Abstract

This paper presents a bidirectional DC/AC converter control system based on the vector control method for regulating the DC bus in On-grid photovoltaic systems. In this control scheme, the main task of the DC/AC converter is to control the power flow between the DC bus and the electrical grid. To avoid conventional controller parameter tuning problems and in addition to enhance transient performances of the DC bus voltage response that caused by abrupt changes of local DC loads that directly connected to DC bus system, in this work, the DC/AC converter control system is designed by utilizing radial basis function neural networks, that is a kind of the computational intelligence method. By combining with simple proportional control, the overshoot and undershoot of the DC bus voltage that caused by sudden connections and disconnections of the local DC loads can be damped more quickly and better than the standard optimal PI control system, so the overvoltage condition of the DC bus capacitor could be avoided. The effectiveness of the proposed control system is proved by simulation results.

Original language	English
Title of host publication	Proceedings of 2nd International Conference on Electrical Systems, Technology and Information, ICESTI 2015
Editors	Felix Pasila, Yusak Tanoto, Resmana Lim, Murtiyanto Santoso, Nemuel Daniel Pah
Publisher	Springer Verlag
Pages	3-15
Number of pages	13
ISBN (Print)	9789812879868
DOIs	https://doi.org/10.1007/978-981-287-988-2_1
Publication status	Published - 2016
Event	2nd International Conference on Electrical Systems, Technology and Information, ICESTI 2015 - Bali, Indonesia Duration: 9 Sept 2015 → 12 Sept 2015

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	365
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	2nd International Conference on Electrical Systems, Technology and Information, ICESTI 2015
Country/Territory	Indonesia
City	Bali
Period	9/09/15 → 12/09/15

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Bidirectional DC/AC converter
Computational intelligence
Radial basis function neural networks
Vector control

Access to Document

10.1007/978-981-287-988-2_1

Cite this

Purnomo, M. H., Setiawan, I., & Priyadi, A. (2016). Computational intelligence based regulation of the dc bus in the on-grid photovoltaic system. In F. Pasila, Y. Tanoto, R. Lim, M. Santoso, & N. D. Pah (Eds.), Proceedings of 2nd International Conference on Electrical Systems, Technology and Information, ICESTI 2015 (pp. 3-15). (Lecture Notes in Electrical Engineering; Vol. 365). Springer Verlag. https://doi.org/10.1007/978-981-287-988-2_1

Purnomo, Mauridhi Hery ; Setiawan, Iwan ; Priyadi, Ardyono. / Computational intelligence based regulation of the dc bus in the on-grid photovoltaic system. Proceedings of 2nd International Conference on Electrical Systems, Technology and Information, ICESTI 2015. editor / Felix Pasila ; Yusak Tanoto ; Resmana Lim ; Murtiyanto Santoso ; Nemuel Daniel Pah. Springer Verlag, 2016. pp. 3-15 (Lecture Notes in Electrical Engineering).

@inproceedings{3c53d5ecc2114397ac0e1b12eceaf993,

title = "Computational intelligence based regulation of the dc bus in the on-grid photovoltaic system",

abstract = "This paper presents a bidirectional DC/AC converter control system based on the vector control method for regulating the DC bus in On-grid photovoltaic systems. In this control scheme, the main task of the DC/AC converter is to control the power flow between the DC bus and the electrical grid. To avoid conventional controller parameter tuning problems and in addition to enhance transient performances of the DC bus voltage response that caused by abrupt changes of local DC loads that directly connected to DC bus system, in this work, the DC/AC converter control system is designed by utilizing radial basis function neural networks, that is a kind of the computational intelligence method. By combining with simple proportional control, the overshoot and undershoot of the DC bus voltage that caused by sudden connections and disconnections of the local DC loads can be damped more quickly and better than the standard optimal PI control system, so the overvoltage condition of the DC bus capacitor could be avoided. The effectiveness of the proposed control system is proved by simulation results.",

keywords = "Bidirectional DC/AC converter, Computational intelligence, Radial basis function neural networks, Vector control",

author = "Purnomo, \{Mauridhi Hery\} and Iwan Setiawan and Ardyono Priyadi",

note = "Publisher Copyright: {\textcopyright} Springer Science+Business Media Singapore 2016.; 2nd International Conference on Electrical Systems, Technology and Information, ICESTI 2015 ; Conference date: 09-09-2015 Through 12-09-2015",

year = "2016",

doi = "10.1007/978-981-287-988-2\_1",

language = "English",

isbn = "9789812879868",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer Verlag",

pages = "3--15",

editor = "Felix Pasila and Yusak Tanoto and Resmana Lim and Murtiyanto Santoso and Pah, \{Nemuel Daniel\}",

booktitle = "Proceedings of 2nd International Conference on Electrical Systems, Technology and Information, ICESTI 2015",

address = "Germany",

}

Purnomo, MH, Setiawan, I & Priyadi, A 2016, Computational intelligence based regulation of the dc bus in the on-grid photovoltaic system. in F Pasila, Y Tanoto, R Lim, M Santoso & ND Pah (eds), Proceedings of 2nd International Conference on Electrical Systems, Technology and Information, ICESTI 2015. Lecture Notes in Electrical Engineering, vol. 365, Springer Verlag, pp. 3-15, 2nd International Conference on Electrical Systems, Technology and Information, ICESTI 2015, Bali, Indonesia, 9/09/15. https://doi.org/10.1007/978-981-287-988-2_1

Computational intelligence based regulation of the dc bus in the on-grid photovoltaic system. / Purnomo, Mauridhi Hery; Setiawan, Iwan; Priyadi, Ardyono.
Proceedings of 2nd International Conference on Electrical Systems, Technology and Information, ICESTI 2015. ed. / Felix Pasila; Yusak Tanoto; Resmana Lim; Murtiyanto Santoso; Nemuel Daniel Pah. Springer Verlag, 2016. p. 3-15 (Lecture Notes in Electrical Engineering; Vol. 365).

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

TY - GEN

T1 - Computational intelligence based regulation of the dc bus in the on-grid photovoltaic system

AU - Purnomo, Mauridhi Hery

AU - Setiawan, Iwan

AU - Priyadi, Ardyono

N1 - Publisher Copyright: © Springer Science+Business Media Singapore 2016.

PY - 2016

Y1 - 2016

N2 - This paper presents a bidirectional DC/AC converter control system based on the vector control method for regulating the DC bus in On-grid photovoltaic systems. In this control scheme, the main task of the DC/AC converter is to control the power flow between the DC bus and the electrical grid. To avoid conventional controller parameter tuning problems and in addition to enhance transient performances of the DC bus voltage response that caused by abrupt changes of local DC loads that directly connected to DC bus system, in this work, the DC/AC converter control system is designed by utilizing radial basis function neural networks, that is a kind of the computational intelligence method. By combining with simple proportional control, the overshoot and undershoot of the DC bus voltage that caused by sudden connections and disconnections of the local DC loads can be damped more quickly and better than the standard optimal PI control system, so the overvoltage condition of the DC bus capacitor could be avoided. The effectiveness of the proposed control system is proved by simulation results.

AB - This paper presents a bidirectional DC/AC converter control system based on the vector control method for regulating the DC bus in On-grid photovoltaic systems. In this control scheme, the main task of the DC/AC converter is to control the power flow between the DC bus and the electrical grid. To avoid conventional controller parameter tuning problems and in addition to enhance transient performances of the DC bus voltage response that caused by abrupt changes of local DC loads that directly connected to DC bus system, in this work, the DC/AC converter control system is designed by utilizing radial basis function neural networks, that is a kind of the computational intelligence method. By combining with simple proportional control, the overshoot and undershoot of the DC bus voltage that caused by sudden connections and disconnections of the local DC loads can be damped more quickly and better than the standard optimal PI control system, so the overvoltage condition of the DC bus capacitor could be avoided. The effectiveness of the proposed control system is proved by simulation results.

KW - Bidirectional DC/AC converter

KW - Computational intelligence

KW - Radial basis function neural networks

KW - Vector control

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DO - 10.1007/978-981-287-988-2_1

M3 - Conference contribution

AN - SCOPUS:84959211921

SN - 9789812879868

T3 - Lecture Notes in Electrical Engineering

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EP - 15

BT - Proceedings of 2nd International Conference on Electrical Systems, Technology and Information, ICESTI 2015

A2 - Pasila, Felix

A2 - Tanoto, Yusak

A2 - Lim, Resmana

A2 - Santoso, Murtiyanto

A2 - Pah, Nemuel Daniel

PB - Springer Verlag

T2 - 2nd International Conference on Electrical Systems, Technology and Information, ICESTI 2015

Y2 - 9 September 2015 through 12 September 2015

ER -

Purnomo MH, Setiawan I, Priyadi A. Computational intelligence based regulation of the dc bus in the on-grid photovoltaic system. In Pasila F, Tanoto Y, Lim R, Santoso M, Pah ND, editors, Proceedings of 2nd International Conference on Electrical Systems, Technology and Information, ICESTI 2015. Springer Verlag. 2016. p. 3-15. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-981-287-988-2_1

Computational intelligence based regulation of the dc bus in the on-grid photovoltaic system

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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