Analysis of Voltage Violation Based on Extreme Value Theory

被引：0
|
作者：
Sun, Liwen [1 ]
Wu, Han [1 ]
Meng, Na [2 ]
机构：
[1] Nanjing Insititute Technol, Smart Grid Insititute, Nanjing, Peoples R China
[2] China Elect Power Res Inst, State Key Lab Operat & Control Renewable Energy &, Nanjing, Peoples R China
来源：
2022 4TH INTERNATIONAL CONFERENCE ON SMART POWER & INTERNET ENERGY SYSTEMS, SPIES | 2022年
关键词：
voltage violation; Cornish Fisher series; EVT; GEV; probability;
D O I：
10.1109/SPIES55999.2022.10082652
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, we present a novel method about voltage violation for distribution networks under high stochastic load penetration. The proposed method combines extreme value theory (EVT) with Cornish Fisher series and semi invariants. In this method, the generalized extreme value (GEV) distribution directly fits the node injection load which avoids the influence of the correlation between various loads, and has the characteristic of small data demand. The efficacy of the proposed approach has been illustrated by an example analysis in the IEEE33 node system.
引用
收藏
页码：64 / 68
页数：5
相关论文
共 50 条
  • [41] Quantitative assessment of flight risk based on extreme value theory
    Xue, Y., 2013, Systems Engineering Society of China (33):
  • [42] Comparison Value at Risk with Extreme Value Theory
    Zelinkova, Katerina
    FINANCIAL MANAGEMENT OF FIRMS AND FINANCIAL INSTITUTIONS: 9TH INTERNATIONAL SCIENTIFIC CONFERENCE PROCEEDINGS, PTS I-III, 2013, : 1090 - 1097
  • [43] Confidence evaluation for blind analysis of LFM/BPSK hybrid signals based on extreme value theory
    Hu Guobing
    Zhao Pinjiao
    Chen Zhengyu
    Luo Ronghua
    IET RADAR SONAR AND NAVIGATION, 2019, 13 (03): : 473 - 483
  • [44] Universal power laws in the threshold network model: A theoretical analysis based on extreme value theory
    Fujihara, A.
    Uchida, M.
    Miwa, H.
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2010, 389 (05) : 1124 - 1130
  • [45] APPLICATION OF EXTREME VALUE THEORY TO RELIABILITY THEORY
    HARRIS, R
    ANNALS OF MATHEMATICAL STATISTICS, 1970, 41 (05): : 1456 - &
  • [46] Measuring daily Value-at-Risk of SSEC index: A new approach based on multifractal analysis and extreme value theory
    Wei, Yu
    Chen, Wang
    Lin, Yu
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2013, 392 (09) : 2163 - 2174
  • [47] Empirical Analysis of Value-at-Risk Estimation Methods Using Extreme Value Theory
    Zhao Yuanrui & Tian Hongwei School of Management
    Journal of Systems Engineering and Electronics, 2001, (01) : 13 - 21
  • [48] Empirical analysis of value-at-risk estimation methods using extreme value theory
    Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice, 2000, 20 (10): : 27 - 35
  • [49] Empirical analysis of value-at-risk estimation methods using extreme value theory
    Zhan, Y.
    Tian, H.
    Journal of Systems Engineering and Electronics, 2001, 12 (01) : 13 - 21
  • [50] Portfolio value-at-risk forecasting with GA-based extreme value theory
    Lin, PC
    Ko, PC
    Chiang, PS
    PROCEEDINGS OF THE 8TH JOINT CONFERENCE ON INFORMATION SCIENCES, VOLS 1-3, 2005, : 1122 - 1125
12345