An AN-GA controlled SEPIC converter for photovoltaic grid integration

Neeraj Priyadarshi, Sanjeevikumar Padmanaban, Jens Bo Holm-Nielsen, Vigna K. Ramachandaramurthy, Mahajan Sagar Bhaskar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, Artificial Neural Network (ANN) optimization with Genetic Algorithm (GA) is implemented. The optimized training to ANN is provide using Bayesian regulation. For this study, a Photovoltaic (PV) system has considered and optimal power tracking been interpreted with proper adjustment of ANN weights using GA approach, which reduces the Root Mean Square Error (RMSE). In this work, the single-ended primary-inductor converter (SEPIC) has been utilized for better power tracking from PV modules. SEPIC Converter accomplish with impedance matching power device and provides utmost PV power tracking. Space vector pulse width modulation-dSPACE interface been utilized as an inverter control. Simulated responses show the potency of the proposed system under sag, swell and varying loading conditions.

Original languageEnglish
Title of host publicationProceedings - 2019 IEEE 13th International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728132020
DOIs
Publication statusPublished - Apr 2019
Event13th IEEE International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2019 - Sonderborg, Denmark
Duration: 23 Apr 201925 Apr 2019

Publication series

NameProceedings - 2019 IEEE 13th International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2019

Conference

Conference13th IEEE International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2019
CountryDenmark
CitySonderborg
Period23/04/1925/04/19

Fingerprint

Converter
Artificial Neural Network
Genetic algorithms
Genetic Algorithm
Grid
Neural networks
Photovoltaic System
Network Optimization
D-space
Inverter
Vector spaces
Mean square error
Pulse width modulation
Impedance
Vector space
Adjustment
Modulation
Roots
Module
Training

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Control and Optimization
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment

Cite this

Priyadarshi, N., Padmanaban, S., Holm-Nielsen, J. B., Ramachandaramurthy, V. K., & Bhaskar, M. S. (2019). An AN-GA controlled SEPIC converter for photovoltaic grid integration. In Proceedings - 2019 IEEE 13th International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2019 [8862395] (Proceedings - 2019 IEEE 13th International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CPE.2019.8862395
Priyadarshi, Neeraj ; Padmanaban, Sanjeevikumar ; Holm-Nielsen, Jens Bo ; Ramachandaramurthy, Vigna K. ; Bhaskar, Mahajan Sagar. / An AN-GA controlled SEPIC converter for photovoltaic grid integration. Proceedings - 2019 IEEE 13th International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2019. Institute of Electrical and Electronics Engineers Inc., 2019. (Proceedings - 2019 IEEE 13th International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2019).
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Priyadarshi, N, Padmanaban, S, Holm-Nielsen, JB, Ramachandaramurthy, VK & Bhaskar, MS 2019, An AN-GA controlled SEPIC converter for photovoltaic grid integration. in Proceedings - 2019 IEEE 13th International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2019., 8862395, Proceedings - 2019 IEEE 13th International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2019, Institute of Electrical and Electronics Engineers Inc., 13th IEEE International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2019, Sonderborg, Denmark, 23/04/19. https://doi.org/10.1109/CPE.2019.8862395

An AN-GA controlled SEPIC converter for photovoltaic grid integration. / Priyadarshi, Neeraj; Padmanaban, Sanjeevikumar; Holm-Nielsen, Jens Bo; Ramachandaramurthy, Vigna K.; Bhaskar, Mahajan Sagar.

Proceedings - 2019 IEEE 13th International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8862395 (Proceedings - 2019 IEEE 13th International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AU - Bhaskar, Mahajan Sagar

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AB - In this paper, Artificial Neural Network (ANN) optimization with Genetic Algorithm (GA) is implemented. The optimized training to ANN is provide using Bayesian regulation. For this study, a Photovoltaic (PV) system has considered and optimal power tracking been interpreted with proper adjustment of ANN weights using GA approach, which reduces the Root Mean Square Error (RMSE). In this work, the single-ended primary-inductor converter (SEPIC) has been utilized for better power tracking from PV modules. SEPIC Converter accomplish with impedance matching power device and provides utmost PV power tracking. Space vector pulse width modulation-dSPACE interface been utilized as an inverter control. Simulated responses show the potency of the proposed system under sag, swell and varying loading conditions.

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M3 - Conference contribution

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Priyadarshi N, Padmanaban S, Holm-Nielsen JB, Ramachandaramurthy VK, Bhaskar MS. An AN-GA controlled SEPIC converter for photovoltaic grid integration. In Proceedings - 2019 IEEE 13th International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 8862395. (Proceedings - 2019 IEEE 13th International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2019). https://doi.org/10.1109/CPE.2019.8862395