Stability Analysis of Power System Based on GA-SVM

被引：0
|
作者：
Liu, Zong-yang [1 ,2 ]
Chen, Meng [2 ]
Li, Chong-tao [2 ]
机构：
[1] State Grid Sichuan Elect Power Res Inst, Chengdu, Sichuan, Peoples R China
[2] Xi An Jiao Tong Univ, Sch Elect Engn, Xian, Shaanxi, Peoples R China
来源：
2018 3RD INTERNATIONAL CONFERENCE ON COMPUTATIONAL MODELING, SIMULATION AND APPLIED MATHEMATICS (CMSAM 2018) | 2018年 / 310卷
关键词：
Stability analysis; Power system; GA; SVM;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Aiming at the problems of long calculation time and stable stability of power system stability analysis, a GA-SVM algorithm is proposed to analyze the stability of power system. Firstly, the mathematical model is used to describe the power system. The GA algorithm is used to optimize the nonlinear regression SVM parameters. The stability of the power system is simulated and the accuracy and speed under different load levels are verified. The simulation results show that the proposed algorithm has good efficiency, good reliability and high engineering practicability.
引用
收藏
页码：278 / 282
页数：5
相关论文
共 50 条
  • [21] Coordinated Development Degree of County Socio-Economic System Prediction Based on GA-SVM
    Zhao, Jing
    Wang, Ying
    Dang, Xing-hua
    [J]. PROCEEDINGS OF THE 22ND INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT: INNOVATION AND PRACTICE IN INDUSTRIAL ENGINEERING AND MANAGEMENT (VOL 2), 2016, : 45 - 52
  • [22] Fault Diagnosis of Metallurgical Machinery Based on Spectral Kurtosis and GA-SVM
    Li, Yun
    Gao, Yan
    Guo, Jun
    Yu, Xianjun
    [J]. ADVANCES IN CHEMICAL, MATERIAL AND METALLURGICAL ENGINEERING, PTS 1-5, 2013, 634-638 : 3958 - 3961
  • [23] Establishment of Landslide Groundwater Level Prediction Model Based on GA-SVM and Influencing Factor Analysis
    Cao, Ying
    Yin, Kunlong
    Zhou, Chao
    Ahmed, Bayes
    [J]. SENSORS, 2020, 20 (03)
  • [24] Research on GA-SVM Based Head-Motion Classification via Mechanomyography Feature Analysis
    Zhang, Yue
    Yu, Jing
    Xia, Chunming
    Yang, Ke
    Cao, Heng
    Wu, Qing
    [J]. SENSORS, 2019, 19 (09)
  • [25] Ash content prediction of coarse coal by image analysis and GA-SVM
    Zhang, Zelin
    Yang, Jianguo
    Wang, Yuling
    Dou, Dongyang
    Xia, Wencheng
    [J]. POWDER TECHNOLOGY, 2014, 268 : 429 - 435
  • [26] GA-SVM based study on natural gas hydrate phase equilibrium
    [J]. 2017, Natural Gas Industry Journal Agency (37)
  • [27] Studies on fault diagnosis of dissolved oxygen sensor based on GA-SVM
    Yang, Pu
    Li, Zhenbo
    Yu, Yaguang
    Shi, Jiahui
    Sun, Ming
    [J]. MATHEMATICAL BIOSCIENCES AND ENGINEERING, 2020, 18 (01) : 386 - 399
  • [28] Targeted Poverty Reduction Model of the Needy Undergraduates Based on GA-SVM
    Tao, Bairui
    Liu, Kaida
    Miao, Fengjuan
    Sun, Tongri
    Miao, Rui
    [J]. 2018 4TH INTERNATIONAL CONFERENCE ON SOCIAL SCIENCES, MODERN MANAGEMENT AND ECONOMICS (SSMME 2018), 2018, : 263 - 266
  • [29] Site Selection of Urban Track Traffic Routes Based on GA-SVM
    Tang, Minan
    Ren, Enen
    [J]. 2009 INTERNATIONAL CONFERENCE ON INFORMATION MANAGEMENT, INNOVATION MANAGEMENT AND INDUSTRIAL ENGINEERING, VOL 2, PROCEEDINGS, 2009, : 59 - 62
  • [30] Intelligent Evaluation Model for Cementing Quality Based on GA-SVM and Application
    Liu, Jingcheng
    Zeng, Shunpeng
    Yuan, Zhigang
    [J]. FRONTIERS OF MANUFACTURING AND DESIGN SCIENCE II, PTS 1-6, 2012, 121-126 : 2730 - +
12345