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
N1 - Publisher Copyright:
© 2020 IEEE.
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 - http://www.scopus.com/inward/record.url?scp=85099012529&partnerID=8YFLogxK
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 -
