Abstract
Nowadays, one of the main contributors of air pollution is thermal power plant. China want to develop renewable energy to solve the problem [1]. In many areas, roof photovoltaic (PV) energy systems, wind energy systems are built in last several years. In order to effective manage the renewable energy system, the concept of DC microgrid appeared, some of the roof PV energy systems also can be regarded as DC microgrids. It can manage the renewable energy system efficiently to reduce energy loss. For many DC microgrid, smart converter can upload temperature data, irradiation data and power data to the software. However, how to optimize the architecture design of smart DC microgrid is still wait to be solved. In this paper, continuous-time Markov chain (CTMC) models are built for evaluating the reliability of DC microgrid. The reliability of 3 typical architectures are evaluated and the most reliable one can be find out. What’s more, the main influence factors for the reliability of DC microgrid are shown. Finally, strategies are given to optimize the architecture design of DC microgrid.
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Acknowledgement
The paper is supported by Taihu University of Wuxi, Jiangsu Key Construction Laboratory of loT Application Technology. The paper is supported by Natural Science Foundation of Jiangsu Province No. 18KJB413009. I also should thank my previous supervisor an friends in **’an Jiaotong-Liverpool University, the research direction of this paper is supervised by him.
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Zheng, K., Yao, X., Wang, W. (2022). Reliability Evaluation of Smart DC Microgrid. In: Sun, X., Zhang, X., **a, Z., Bertino, E. (eds) Advances in Artificial Intelligence and Security. ICAIS 2022. Communications in Computer and Information Science, vol 1588. Springer, Cham. https://doi.org/10.1007/978-3-031-06764-8_46
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DOI: https://doi.org/10.1007/978-3-031-06764-8_46
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