软件定义光伏能源系统可靠性评估

2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) Pub Date : 2020-10-01 DOI:10.1109/DCABES50732.2020.00038

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

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引用次数: 0

摘要

为了应对大气污染的挑战，可再生能源越来越受到人们的关注。光伏(PV)能源系统是可再生能源系统之一。它具有许多优点，包括:规模小，没有空气污染等。但该系统缺乏柔性控制，降低了系统的可靠性。一种新的架构，软件定义光伏能源系统(SDPVES)被设计来解决这个问题。用户可以远程上传新算法到变流器，改变光伏能源系统的功能。然而，如何改进SDPVES的架构设计成为一个挑战。本文利用马尔可夫模型分析了不同sdpve体系结构的可靠性。模型检查工具为PRISM。分析了不同成分的影响。此外，还展示了不同架构的比较。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Reliability Evaluation of Software Defined Photovoltaic Energy System

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.

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来源期刊

2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)

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