Reliability Evaluation of Software Defined Photovoltaic Energy System

Kai Zheng; Zhe Zhang; Liyou Fang; Yi Song; Xin Huang

doi:10.1109/DCABES50732.2020.00038

Reliability Evaluation of Software Defined Photovoltaic Energy System

Kai Zheng
, Zhe Zhang
, Liyou Fang
, Yi Song
, Xin Huang

School of Advanced Technology

Taihu University of Wuxi

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

Abstract

In order to face the challenge of air pollution, renewable energy sources attract more attention. Photovoltaic (PV) energy system is one of renewable energy systems. It has many advantages include: small scaled, no air pollution and so on. However, lack of flexible control of this system weaken the reliability of it. A new architecture, Software Defined PV Energy System (SDPVES) is designed to solve the problem. The users can remotely upload new algorithms to the converters to change the functions of PV energy system. However, how to improve the architecture design of the SDPVES become a challenge. In this paper, Markov models are used to analyze the reliability of different SDPVES architectures. The tool for model checking is PRISM. The influence of different components is analyzed. What's more, the comparison of different architectures is also shown.

Original language	English
Title of host publication	Proceedings - 2020 19th Distributed Computing and Applications for Business Engineering and Science, DCABES 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	116-119
Number of pages	4
ISBN (Electronic)	9781728197241
DOIs	https://doi.org/10.1109/DCABES50732.2020.00038
Publication status	Published - Oct 2020
Event	19th Distributed Computing and Applications for Business Engineering and Science, DCABES 2020 - Xuzhou, Jiangsu, China Duration: 16 Oct 2020 → 19 Oct 2020

Publication series

Name	Proceedings - 2020 19th Distributed Computing and Applications for Business Engineering and Science, DCABES 2020

Conference

Conference	19th Distributed Computing and Applications for Business Engineering and Science, DCABES 2020
Country/Territory	China
City	Xuzhou, Jiangsu
Period	16/10/20 → 19/10/20

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Renewable energy sources
SDPVES
photovoltaic (PV) energy system
probabilistic model checking

Access to Document

10.1109/DCABES50732.2020.00038

Cite this

Zheng, K., Zhang, Z., Fang, L., Song, Y., & Huang, X. (2020). Reliability Evaluation of Software Defined Photovoltaic Energy System. In Proceedings - 2020 19th Distributed Computing and Applications for Business Engineering and Science, DCABES 2020 (pp. 116-119). Article 9277815 (Proceedings - 2020 19th Distributed Computing and Applications for Business Engineering and Science, DCABES 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DCABES50732.2020.00038

Zheng, Kai ; Zhang, Zhe ; Fang, Liyou et al. / Reliability Evaluation of Software Defined Photovoltaic Energy System. Proceedings - 2020 19th Distributed Computing and Applications for Business Engineering and Science, DCABES 2020. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 116-119 (Proceedings - 2020 19th Distributed Computing and Applications for Business Engineering and Science, DCABES 2020).

@inproceedings{38504468fbe54604b17df99d659cdb4a,

title = "Reliability Evaluation of Software Defined Photovoltaic Energy System",

abstract = "In order to face the challenge of air pollution, renewable energy sources attract more attention. Photovoltaic (PV) energy system is one of renewable energy systems. It has many advantages include: small scaled, no air pollution and so on. However, lack of flexible control of this system weaken the reliability of it. A new architecture, Software Defined PV Energy System (SDPVES) is designed to solve the problem. The users can remotely upload new algorithms to the converters to change the functions of PV energy system. However, how to improve the architecture design of the SDPVES become a challenge. In this paper, Markov models are used to analyze the reliability of different SDPVES architectures. The tool for model checking is PRISM. The influence of different components is analyzed. What's more, the comparison of different architectures is also shown.",

keywords = "Renewable energy sources, SDPVES, photovoltaic (PV) energy system, probabilistic model checking",

author = "Kai Zheng and Zhe Zhang and Liyou Fang and Yi Song and Xin Huang",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 19th Distributed Computing and Applications for Business Engineering and Science, DCABES 2020 ; Conference date: 16-10-2020 Through 19-10-2020",

year = "2020",

month = oct,

doi = "10.1109/DCABES50732.2020.00038",

language = "English",

series = "Proceedings - 2020 19th Distributed Computing and Applications for Business Engineering and Science, DCABES 2020",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "116--119",

booktitle = "Proceedings - 2020 19th Distributed Computing and Applications for Business Engineering and Science, DCABES 2020",

}

Zheng, K, Zhang, Z, Fang, L, Song, Y & Huang, X 2020, Reliability Evaluation of Software Defined Photovoltaic Energy System. in Proceedings - 2020 19th Distributed Computing and Applications for Business Engineering and Science, DCABES 2020., 9277815, Proceedings - 2020 19th Distributed Computing and Applications for Business Engineering and Science, DCABES 2020, Institute of Electrical and Electronics Engineers Inc., pp. 116-119, 19th Distributed Computing and Applications for Business Engineering and Science, DCABES 2020, Xuzhou, Jiangsu, China, 16/10/20. https://doi.org/10.1109/DCABES50732.2020.00038

Reliability Evaluation of Software Defined Photovoltaic Energy System. / Zheng, Kai; Zhang, Zhe; Fang, Liyou et al.
Proceedings - 2020 19th Distributed Computing and Applications for Business Engineering and Science, DCABES 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 116-119 9277815 (Proceedings - 2020 19th Distributed Computing and Applications for Business Engineering and Science, DCABES 2020).

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

TY - GEN

T1 - Reliability Evaluation of Software Defined Photovoltaic Energy System

AU - Zheng, Kai

AU - Zhang, Zhe

AU - Fang, Liyou

AU - Song, Yi

AU - Huang, Xin

PY - 2020/10

Y1 - 2020/10

N2 - In order to face the challenge of air pollution, renewable energy sources attract more attention. Photovoltaic (PV) energy system is one of renewable energy systems. It has many advantages include: small scaled, no air pollution and so on. However, lack of flexible control of this system weaken the reliability of it. A new architecture, Software Defined PV Energy System (SDPVES) is designed to solve the problem. The users can remotely upload new algorithms to the converters to change the functions of PV energy system. However, how to improve the architecture design of the SDPVES become a challenge. In this paper, Markov models are used to analyze the reliability of different SDPVES architectures. The tool for model checking is PRISM. The influence of different components is analyzed. What's more, the comparison of different architectures is also shown.

AB - In order to face the challenge of air pollution, renewable energy sources attract more attention. Photovoltaic (PV) energy system is one of renewable energy systems. It has many advantages include: small scaled, no air pollution and so on. However, lack of flexible control of this system weaken the reliability of it. A new architecture, Software Defined PV Energy System (SDPVES) is designed to solve the problem. The users can remotely upload new algorithms to the converters to change the functions of PV energy system. However, how to improve the architecture design of the SDPVES become a challenge. In this paper, Markov models are used to analyze the reliability of different SDPVES architectures. The tool for model checking is PRISM. The influence of different components is analyzed. What's more, the comparison of different architectures is also shown.

KW - Renewable energy sources

KW - SDPVES

KW - photovoltaic (PV) energy system

KW - probabilistic model checking

UR - https://www.scopus.com/pages/publications/85099012529

U2 - 10.1109/DCABES50732.2020.00038

DO - 10.1109/DCABES50732.2020.00038

M3 - Conference Proceeding

AN - SCOPUS:85099012529

T3 - Proceedings - 2020 19th Distributed Computing and Applications for Business Engineering and Science, DCABES 2020

SP - 116

EP - 119

BT - Proceedings - 2020 19th Distributed Computing and Applications for Business Engineering and Science, DCABES 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 19th Distributed Computing and Applications for Business Engineering and Science, DCABES 2020

Y2 - 16 October 2020 through 19 October 2020

ER -

Zheng K, Zhang Z, Fang L, Song Y, Huang X. Reliability Evaluation of Software Defined Photovoltaic Energy System. In Proceedings - 2020 19th Distributed Computing and Applications for Business Engineering and Science, DCABES 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 116-119. 9277815. (Proceedings - 2020 19th Distributed Computing and Applications for Business Engineering and Science, DCABES 2020). doi: 10.1109/DCABES50732.2020.00038

Reliability Evaluation of Software Defined Photovoltaic Energy System

Abstract

Publication series

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UN SDGs

Keywords

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