Parameter Estimation of a Single-Diode PV Model Using a Hybrid Charged System Search Algorithm

Chao Ming Huang; Shin Ju Chen; Sung Pei Yang

doi:10.1109/ISIE45063.2020.9152526

Parameter Estimation of a Single-Diode PV Model Using a Hybrid Charged System Search Algorithm

Chao Ming Huang
, Shin Ju Chen
, Sung Pei Yang

Department of Engineering Science

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

7 Citations (Scopus)

Abstract

The single-diode equivalent circuit is the most commonly used physical model for estimating photovoltaic (PV) power output. There are five parameters such as the generated photocurrent, the diode ideality, the reverse saturation current, the series resistance and the shunt resistance in the single-diode model that affect PV power output. Theses parameters recommended by the manufacturer have a nonlinear relationship with power output and may vary as facilities age after running for a few years. Parameters for PV modules must be estimated to ensure accurate simulation in a micro-grid system. To allow finer and more accurate estimation for PV power output, the five parameters of the single-diode model are transformed into 13 parameters under various weather conditions. A hybrid charged system search (HCSS) algorithm is then used to estimate the parameter settings for PV modules using actual measurement data. The proposed method is applied to a 32 kWp PV power generation system and the results show that the proposed method determines the optimal parameter settings for PV modules that allow accurate simulation and implementation for a micro-grid system.

Original language	English
Title of host publication	2020 IEEE 29th International Symposium on Industrial Electronics, ISIE 2020 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	947-952
Number of pages	6
ISBN (Electronic)	9781728156354
DOIs	https://doi.org/10.1109/ISIE45063.2020.9152526
Publication status	Published - 2020 Jun
Event	29th IEEE International Symposium on Industrial Electronics, ISIE 2020 - Delft, Netherlands Duration: 2020 Jun 17 → 2020 Jun 19

Publication series

Name	IEEE International Symposium on Industrial Electronics
Volume	2020-June

Conference

Conference	29th IEEE International Symposium on Industrial Electronics, ISIE 2020
Country/Territory	Netherlands
City	Delft
Period	20-06-17 → 20-06-19

UN SDGs

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

SDG 7 Affordable and Clean Energy

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering
Control and Systems Engineering

Access to Document

10.1109/ISIE45063.2020.9152526

Cite this

Huang, C. M., Chen, S. J., & Yang, S. P. (2020). Parameter Estimation of a Single-Diode PV Model Using a Hybrid Charged System Search Algorithm. In 2020 IEEE 29th International Symposium on Industrial Electronics, ISIE 2020 - Proceedings (pp. 947-952). Article 9152526 (IEEE International Symposium on Industrial Electronics; Vol. 2020-June). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISIE45063.2020.9152526

Huang, Chao Ming ; Chen, Shin Ju ; Yang, Sung Pei. / Parameter Estimation of a Single-Diode PV Model Using a Hybrid Charged System Search Algorithm. 2020 IEEE 29th International Symposium on Industrial Electronics, ISIE 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 947-952 (IEEE International Symposium on Industrial Electronics).

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title = "Parameter Estimation of a Single-Diode PV Model Using a Hybrid Charged System Search Algorithm",

abstract = "The single-diode equivalent circuit is the most commonly used physical model for estimating photovoltaic (PV) power output. There are five parameters such as the generated photocurrent, the diode ideality, the reverse saturation current, the series resistance and the shunt resistance in the single-diode model that affect PV power output. Theses parameters recommended by the manufacturer have a nonlinear relationship with power output and may vary as facilities age after running for a few years. Parameters for PV modules must be estimated to ensure accurate simulation in a micro-grid system. To allow finer and more accurate estimation for PV power output, the five parameters of the single-diode model are transformed into 13 parameters under various weather conditions. A hybrid charged system search (HCSS) algorithm is then used to estimate the parameter settings for PV modules using actual measurement data. The proposed method is applied to a 32 kWp PV power generation system and the results show that the proposed method determines the optimal parameter settings for PV modules that allow accurate simulation and implementation for a micro-grid system.",

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doi = "10.1109/ISIE45063.2020.9152526",

language = "English",

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Huang, CM, Chen, SJ & Yang, SP 2020, Parameter Estimation of a Single-Diode PV Model Using a Hybrid Charged System Search Algorithm. in 2020 IEEE 29th International Symposium on Industrial Electronics, ISIE 2020 - Proceedings., 9152526, IEEE International Symposium on Industrial Electronics, vol. 2020-June, Institute of Electrical and Electronics Engineers Inc., pp. 947-952, 29th IEEE International Symposium on Industrial Electronics, ISIE 2020, Delft, Netherlands, 20-06-17. https://doi.org/10.1109/ISIE45063.2020.9152526

Parameter Estimation of a Single-Diode PV Model Using a Hybrid Charged System Search Algorithm. / Huang, Chao Ming; Chen, Shin Ju; Yang, Sung Pei.
2020 IEEE 29th International Symposium on Industrial Electronics, ISIE 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. p. 947-952 9152526 (IEEE International Symposium on Industrial Electronics; Vol. 2020-June).

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

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AU - Yang, Sung Pei

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N2 - The single-diode equivalent circuit is the most commonly used physical model for estimating photovoltaic (PV) power output. There are five parameters such as the generated photocurrent, the diode ideality, the reverse saturation current, the series resistance and the shunt resistance in the single-diode model that affect PV power output. Theses parameters recommended by the manufacturer have a nonlinear relationship with power output and may vary as facilities age after running for a few years. Parameters for PV modules must be estimated to ensure accurate simulation in a micro-grid system. To allow finer and more accurate estimation for PV power output, the five parameters of the single-diode model are transformed into 13 parameters under various weather conditions. A hybrid charged system search (HCSS) algorithm is then used to estimate the parameter settings for PV modules using actual measurement data. The proposed method is applied to a 32 kWp PV power generation system and the results show that the proposed method determines the optimal parameter settings for PV modules that allow accurate simulation and implementation for a micro-grid system.

AB - The single-diode equivalent circuit is the most commonly used physical model for estimating photovoltaic (PV) power output. There are five parameters such as the generated photocurrent, the diode ideality, the reverse saturation current, the series resistance and the shunt resistance in the single-diode model that affect PV power output. Theses parameters recommended by the manufacturer have a nonlinear relationship with power output and may vary as facilities age after running for a few years. Parameters for PV modules must be estimated to ensure accurate simulation in a micro-grid system. To allow finer and more accurate estimation for PV power output, the five parameters of the single-diode model are transformed into 13 parameters under various weather conditions. A hybrid charged system search (HCSS) algorithm is then used to estimate the parameter settings for PV modules using actual measurement data. The proposed method is applied to a 32 kWp PV power generation system and the results show that the proposed method determines the optimal parameter settings for PV modules that allow accurate simulation and implementation for a micro-grid system.

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Huang CM, Chen SJ, Yang SP. Parameter Estimation of a Single-Diode PV Model Using a Hybrid Charged System Search Algorithm. In 2020 IEEE 29th International Symposium on Industrial Electronics, ISIE 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2020. p. 947-952. 9152526. (IEEE International Symposium on Industrial Electronics). doi: 10.1109/ISIE45063.2020.9152526

Parameter Estimation of a Single-Diode PV Model Using a Hybrid Charged System Search Algorithm

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