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Research on Grid Expansion Planning and Reliability Balance under the Fusion of Energy Storage and Wind Power

Published: 17 May 2021 Publication History
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  • Abstract

    Based on sequential Monte Carlo method, the reliability evaluation of power systems with energy storage and wind power was carried out. The wind storage system was connected to IEEE-RBTS system for simulation, and the corresponding program was written with Matlab to calculate the reliability index reflecting the reliability level of the whole system. The specific influence of wind farm, energy storage system, energy storage capacity and maximum charge-discharge power of energy storage on the reliability of the system was discussed.

    References

    [1]
    Wu Yichun,Ding Ming. Reliability evaluation of wind power generation system based on Monte Carlo simulation. School of Electrical and Automation Engineering. Hefei University of Technology, Hefei 230009, China.
    [2]
    Zhang Shuo, Li Gengyin, Zhou Ming. Abundance Evaluation Algorithm of Generation and Transmission System Based on Sequential Monte Carlo Simulation. North China Electric Power University, Beijing 102206, China.
    [3]
    Bao Yingkai, Wang Yue, Tang Junxi, Guo Chuangxin, Wang Xing, Shi Hui. Analysis on Differences of Applying Sequential Monte Carlo Methods in Power Gird Reliability Assessment. College of Electrical Engineering, Zhejiang University, Hangzhou 310027, Zhejiang Province, China.
    [4]
    Li Wenyuan.Power system risk assessment - Models, methods and applications [M]. Beijing: Scientific Publisher, 2006:75-106.
    [5]
    Rubinstein R Y. Simulation and the Monte Carlo methods [M]. New York: Wiley, 1981:119-126.
    [6]
    Cheng Lin. Research on the Adequacy and Security Algorithm of large-scale power system [D]. Beijing: QingHua University, 2000.
    [7]
    Wang Chao, Xu Zheng,Gao Peng,et al. Reliability index frame work for reliability evaluation of bulk power system[J]. Proceedings of the Chinese Society of Universities for Electric Power System and Automatio, 2007, 19(1):42-48(in Chinese).

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              cover image ACM Other conferences
              CONF-CDS 2021: The 2nd International Conference on Computing and Data Science
              January 2021
              1142 pages
              ISBN:9781450389570
              DOI:10.1145/3448734
              Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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              Association for Computing Machinery

              New York, NY, United States

              Publication History

              Published: 17 May 2021

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              Author Tags

              1. Energy storage
              2. Reliability assessment
              3. Sequential Monte Carlo method
              4. Wind farm

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