Development of the power load modeling system with denoising and parameter identification

被引:1
|
作者
Wang, Lidi [1 ]
Ge, Qingying [1 ]
Li, Zhe [2 ]
Nian, Taigang [2 ]
机构
[1] Shenyang Agr Univ, Dept Informat & Elect Engn, Shenyang 110866, Peoples R China
[2] Kangping Power Supply Co, Shenyang 110500, Peoples R China
来源
ENERGY AND POWER TECHNOLOGY, PTS 1 AND 2 | 2013年 / 805-806卷
关键词
Load modeling; Power system; Dynamic load model; ZIP load model;
D O I
10.4028/www.scienqic.net/AMR.805-806.712
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The power load modeling system is designed with denoising and parameter identification. This system consists of signal acquisition, signal preprocessing, parameter identification, different load modeling methods such as ZIP model and Dynamic modeling. Original signal can be read from Excel file, which is the simulated signal or measurement signal. Then some kinds of denoising methods can be selected, which are mean filtering, medial filtering and wavelet denoising. After being denoised, the load signal is suitable for the parameter identification process. ZIP model is used to simulate the static load model, and the dynamic model is used to simulate the dynamic load model which is changeable during different periods. With the parameter identification and simulation process, measurement power load signal is used in the experiment, the dynamic model is more suitable for the variable load voltage feature's description.
引用
收藏
页码:712 / +
页数:2
相关论文
共 50 条
  • [31] Research on the Influence of Traction Load on Transient Stability of Power Grid Based on Parameter Identification
    Wu, Zhensheng
    Zhao, Xinyi
    Fan, Deling
    ENERGIES, 2023, 16 (22)
  • [32] Power System Load Modeling Based On Gene Expression Programming
    Zhang, Jian
    Pan, Jinyue
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON LOGISTICS, ENGINEERING, MANAGEMENT AND COMPUTER SCIENCE, 2014, 101 : 1205 - 1208
  • [33] An application of Artificial Neural Networks in power system load modeling
    Yousefi, GR
    2005 IEEE POWER ENGINEERING SOCIETY GENERAL MEETING, VOLS, 1-3, 2005, : 308 - 313
  • [34] Load Modeling in Power System Studies: WECC Progress Update
    Kosterev, Dmitry
    Meklin, Anatoliy
    Undrill, John
    Lesieutre, Bernard
    Price, William
    Chassin, David
    Bravo, Richard
    Yang, Steve
    2008 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, VOLS 1-11, 2008, : 5284 - +
  • [35] Load Parameter Joint Identification of Wireless Power Transfer System Based on the DC Input Current and Phase-Shift Angle
    Guo, Yanjie
    Zhang, Yuwang
    Li, Shufan
    Tao, Chengxuan
    Wang, Lifang
    IEEE TRANSACTIONS ON POWER ELECTRONICS, 2020, 35 (10) : 10542 - 10553
  • [36] The power system load modeling based on Recurrent RBF Neural Network
    Wang Zhi-Qiang
    Chen Xing-Qiong
    Deng Chang-hong
    Pan Zhang-da
    Chao, Dong
    2007 CONFERENCE PROCEEDINGS IPEC, VOLS 1-3, 2007, : 910 - +
  • [37] CONTINGENCY RANKING IN A POWER TRANSMISSION SYSTEM USING ZIP LOAD MODELING
    Sairam, Seshapalli
    Daram, Suresh Babu
    UNIVERSITY POLITEHNICA OF BUCHAREST SCIENTIFIC BULLETIN SERIES C-ELECTRICAL ENGINEERING AND COMPUTER SCIENCE, 2020, 82 (01): : 205 - 220
  • [38] EFFECTS OF LOAD MODELING ON ANALYSIS OF POWER-SYSTEM VOLTAGE STABILITY
    OVERBYE, TJ
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 1994, 16 (05) : 329 - 338
  • [39] Load Modeling for Power System Simulation: a Tradeoff Between Accuracy and Usability
    Folliot, Damien
    Delille, Gauthier
    Capely, Laurent
    2013 IEEE GRENOBLE POWERTECH (POWERTECH), 2013,
  • [40] Load Identification Modeling With Improved Model
    Liu Shujun
    Li Xianshan
    2011 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2011,