Journal of Modern Power Systems and Clean Energy

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Home > Archive>Volume 9, Issue 2, 2021 >459-462. DOI:10.35833/MPCE.2020.000169
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An Improved Fuzzy Method for Characterizing Wind Power
Author:
Affiliation:

1.College of Electrical Engineering, Sichuan University, Chengdu 610065, China;2.State Grid Ningxia Electric Power Eco-Tech Research Institute, Yinchuan 750004, China;3.State Grid Hongguozi Power Supply Company, Shizuishan 753204, China

Fund Project:

This work was supported by National Natural Science Foundation of China (No. 51807127).

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    Abstract:

    An improved fuzzy method is proposed to derive a fuzzy number for characterizing uncertain wind power. The input measurement data are firstly converted into nested sets, and the fuzzy number is further obtained based on nested set transformation method. Numerical studies have demonstrated the effectiveness and advantages of the improved fuzzy method.

    表 1 Table 1
    图1 Illustration for nested set and triangular shape of discrete membership function.Fig.1
    图2 Flow chart of proposed NSM.Fig.2
    图3 CD and OCD values with different methods and fuzzy numbers at the 24th hour. (a) CD and OCD values. (b) Fuzzy number.Fig.3
    图4 CD and OCD values with different sample intervals and fuzzy nuambers at the 24th hour. (a) CD and OCD values. (b) Fuzzy number.Fig.4
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History
  • Received:March 18,2020
  • Online: March 22,2021

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