Hybrid improved differential evolution and spline-based Jaya for photovoltaic MPPT technique

Khusnul Hidayat; Rini Nur Hasanah; Hadi Suyono

doi:10.23919/EECSI48112.2019.8976977

Hybrid improved differential evolution and spline-based Jaya for photovoltaic MPPT technique

Khusnul Hidayat
, Rini Nur Hasanah^*
, Hadi Suyono

^*Corresponding author for this work

Faculty of Engineering

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

4 Citations (Scopus)

Abstract

Some Soft Computing algorithms to solve the maximum power point tracking (MPPT) method problem of the photovoltaic system under partially shaded conditions will stop tracking Global Maxima and produce reference voltage or the best duty-cycle if the difference between the worst and the best candidate solution is smaller than the specified threshold. A large threshold value will produce fast converging, but the accuracy value will be low, and vice versa, then the determination of the threshold value will be very dilemma. Therefore, this study proposed a combination of Improved Differential Evolution (IDE) and Jaya optimization based on predictive curves using cubic spline interpolation to determine the best particles after the IDE reaches convergent criteria, so that with a large threshold value it will still get high accuracy and high convergent speed. Furthermore, the algorithm proposed in this study is known as Improved Differential Evolution and Jaya Based Spline (IDESJaya). The proposed algorithm is compared with conventional P&O, Jaya based on Spline, and IDE. Simulation results show that the IDESJaya technique is faster converging, provides a better overall tracking efficiency and higher accuracy.

Original language	English
Title of host publication	Proceedings - 6th International Conference on Electrical Engineering, Computer Science and Informatics, EECSI 2019
Editors	I. Irawan, Hendri Irawan, Munawar Agus Riyadi, Mochammad Facta
Publisher	Institute of Advanced Engineering and Science
Pages	344-351
Number of pages	8
ISBN (Electronic)	9786020737287
DOIs	https://doi.org/10.23919/EECSI48112.2019.8976977
Publication status	Published - Sept 2019
Event	6th International Conference on Electrical Engineering, Computer Science and Informatics, EECSI 2019 - Bandung, Indonesia Duration: 18 Sept 2019 → 20 Sept 2019

Publication series

Name	International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)
ISSN (Print)	2407-439X

Conference

Conference	6th International Conference on Electrical Engineering, Computer Science and Informatics, EECSI 2019
Country/Territory	Indonesia
City	Bandung
Period	18/09/19 → 20/09/19

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Cubic spline interpolation
Differential evolution
Jaya algorithm
Maximum power point tracking
Photovoltaic system

Access to Document

10.23919/EECSI48112.2019.8976977

Cite this

Hidayat, K., Hasanah, R. N., & Suyono, H. (2019). Hybrid improved differential evolution and spline-based Jaya for photovoltaic MPPT technique. In I. Irawan, H. Irawan, M. A. Riyadi, & M. Facta (Eds.), Proceedings - 6th International Conference on Electrical Engineering, Computer Science and Informatics, EECSI 2019 (pp. 344-351). (International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)). Institute of Advanced Engineering and Science. https://doi.org/10.23919/EECSI48112.2019.8976977

Hidayat, Khusnul ; Hasanah, Rini Nur ; Suyono, Hadi. / Hybrid improved differential evolution and spline-based Jaya for photovoltaic MPPT technique. Proceedings - 6th International Conference on Electrical Engineering, Computer Science and Informatics, EECSI 2019. editor / I. Irawan ; Hendri Irawan ; Munawar Agus Riyadi ; Mochammad Facta. Institute of Advanced Engineering and Science, 2019. pp. 344-351 (International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)).

@inproceedings{24860f929f214933bc12287dee8f6543,

title = "Hybrid improved differential evolution and spline-based Jaya for photovoltaic MPPT technique",

abstract = "Some Soft Computing algorithms to solve the maximum power point tracking (MPPT) method problem of the photovoltaic system under partially shaded conditions will stop tracking Global Maxima and produce reference voltage or the best duty-cycle if the difference between the worst and the best candidate solution is smaller than the specified threshold. A large threshold value will produce fast converging, but the accuracy value will be low, and vice versa, then the determination of the threshold value will be very dilemma. Therefore, this study proposed a combination of Improved Differential Evolution (IDE) and Jaya optimization based on predictive curves using cubic spline interpolation to determine the best particles after the IDE reaches convergent criteria, so that with a large threshold value it will still get high accuracy and high convergent speed. Furthermore, the algorithm proposed in this study is known as Improved Differential Evolution and Jaya Based Spline (IDESJaya). The proposed algorithm is compared with conventional P\&O, Jaya based on Spline, and IDE. Simulation results show that the IDESJaya technique is faster converging, provides a better overall tracking efficiency and higher accuracy.",

keywords = "Cubic spline interpolation, Differential evolution, Jaya algorithm, Maximum power point tracking, Photovoltaic system",

author = "Khusnul Hidayat and Hasanah, \{Rini Nur\} and Hadi Suyono",

note = "Publisher Copyright: {\textcopyright} 2019, Institute of Advanced Engineering and Science. All rights reserved.; 6th International Conference on Electrical Engineering, Computer Science and Informatics, EECSI 2019 ; Conference date: 18-09-2019 Through 20-09-2019",

year = "2019",

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doi = "10.23919/EECSI48112.2019.8976977",

language = "English",

series = "International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)",

publisher = "Institute of Advanced Engineering and Science",

pages = "344--351",

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Hidayat, K, Hasanah, RN & Suyono, H 2019, Hybrid improved differential evolution and spline-based Jaya for photovoltaic MPPT technique. in I Irawan, H Irawan, MA Riyadi & M Facta (eds), Proceedings - 6th International Conference on Electrical Engineering, Computer Science and Informatics, EECSI 2019. International Conference on Electrical Engineering, Computer Science and Informatics (EECSI), Institute of Advanced Engineering and Science, pp. 344-351, 6th International Conference on Electrical Engineering, Computer Science and Informatics, EECSI 2019, Bandung, Indonesia, 18/09/19. https://doi.org/10.23919/EECSI48112.2019.8976977

Hybrid improved differential evolution and spline-based Jaya for photovoltaic MPPT technique. / Hidayat, Khusnul; Hasanah, Rini Nur ; Suyono, Hadi.
Proceedings - 6th International Conference on Electrical Engineering, Computer Science and Informatics, EECSI 2019. ed. / I. Irawan; Hendri Irawan; Munawar Agus Riyadi; Mochammad Facta. Institute of Advanced Engineering and Science, 2019. p. 344-351 (International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)).

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

TY - GEN

T1 - Hybrid improved differential evolution and spline-based Jaya for photovoltaic MPPT technique

AU - Hidayat, Khusnul

AU - Hasanah, Rini Nur

AU - Suyono, Hadi

PY - 2019/9

Y1 - 2019/9

N2 - Some Soft Computing algorithms to solve the maximum power point tracking (MPPT) method problem of the photovoltaic system under partially shaded conditions will stop tracking Global Maxima and produce reference voltage or the best duty-cycle if the difference between the worst and the best candidate solution is smaller than the specified threshold. A large threshold value will produce fast converging, but the accuracy value will be low, and vice versa, then the determination of the threshold value will be very dilemma. Therefore, this study proposed a combination of Improved Differential Evolution (IDE) and Jaya optimization based on predictive curves using cubic spline interpolation to determine the best particles after the IDE reaches convergent criteria, so that with a large threshold value it will still get high accuracy and high convergent speed. Furthermore, the algorithm proposed in this study is known as Improved Differential Evolution and Jaya Based Spline (IDESJaya). The proposed algorithm is compared with conventional P&O, Jaya based on Spline, and IDE. Simulation results show that the IDESJaya technique is faster converging, provides a better overall tracking efficiency and higher accuracy.

AB - Some Soft Computing algorithms to solve the maximum power point tracking (MPPT) method problem of the photovoltaic system under partially shaded conditions will stop tracking Global Maxima and produce reference voltage or the best duty-cycle if the difference between the worst and the best candidate solution is smaller than the specified threshold. A large threshold value will produce fast converging, but the accuracy value will be low, and vice versa, then the determination of the threshold value will be very dilemma. Therefore, this study proposed a combination of Improved Differential Evolution (IDE) and Jaya optimization based on predictive curves using cubic spline interpolation to determine the best particles after the IDE reaches convergent criteria, so that with a large threshold value it will still get high accuracy and high convergent speed. Furthermore, the algorithm proposed in this study is known as Improved Differential Evolution and Jaya Based Spline (IDESJaya). The proposed algorithm is compared with conventional P&O, Jaya based on Spline, and IDE. Simulation results show that the IDESJaya technique is faster converging, provides a better overall tracking efficiency and higher accuracy.

KW - Cubic spline interpolation

KW - Differential evolution

KW - Jaya algorithm

KW - Maximum power point tracking

KW - Photovoltaic system

UR - https://www.scopus.com/pages/publications/85079741641

U2 - 10.23919/EECSI48112.2019.8976977

DO - 10.23919/EECSI48112.2019.8976977

M3 - Conference contribution

AN - SCOPUS:85079741641

T3 - International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)

SP - 344

EP - 351

BT - Proceedings - 6th International Conference on Electrical Engineering, Computer Science and Informatics, EECSI 2019

A2 - Irawan, I.

A2 - Irawan, Hendri

A2 - Riyadi, Munawar Agus

A2 - Facta, Mochammad

PB - Institute of Advanced Engineering and Science

T2 - 6th International Conference on Electrical Engineering, Computer Science and Informatics, EECSI 2019

Y2 - 18 September 2019 through 20 September 2019

ER -

Hidayat K, Hasanah RN , Suyono H. Hybrid improved differential evolution and spline-based Jaya for photovoltaic MPPT technique. In Irawan I, Irawan H, Riyadi MA, Facta M, editors, Proceedings - 6th International Conference on Electrical Engineering, Computer Science and Informatics, EECSI 2019. Institute of Advanced Engineering and Science. 2019. p. 344-351. (International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)). doi: 10.23919/EECSI48112.2019.8976977

Hybrid improved differential evolution and spline-based Jaya for photovoltaic MPPT technique

Abstract

Publication series

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UN SDGs

Keywords

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