Dynamic network reconfiguration using time-interval based strategy and improved moment method

被引:0
|
作者
Fang, X [1 ]
Cai, ZQ [1 ]
Guo, ZZ [1 ]
机构
[1] Harbin Inst Technol, Dept Elect Engn, Harbin 150001, Peoples R China
关键词
power systerns; power distribution control; reconfiguration; optimization methods;
D O I
暂无
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
Network reconfiguration with time-varying load demand in distribution systems is investigated in this paper. The aim is to determine the optimal network configuration according to load variation over a specified time period. To reduce the times of changing network topology, a time-interval based strategy is adopted. The objective function of the presented dynamic network reconfiguration algorithm is to maximize the income during a period of time. In the application of poised apparent accurate moment method (PAAM), its physical meanings are considered and the effective heuristic rule is introduced. To demonstrate the validity and effectiveness of the proposed method, two test systems with different sizes are studied. The results show that the income obtained by time-interval based reconfguration, at most cases, are greater than or equal to that obtained by maximum and average load demand reconfiguration.
引用
收藏
页码:2478 / 2484
页数:7
相关论文
共 50 条
  • [1] Improved moment method for network reconfiguration with time-varying load in distribution systems
    Xing, F
    Guo, ZZ
    Cai, ZQ
    [J]. 2004 International Conference on Power System Technology - POWERCON, Vols 1 and 2, 2004, : 139 - 144
  • [2] Median current moment method for dynamic reconfiguration in distribution network
    Tu, Qiang
    Guo, Zhizhong
    [J]. 2006 INTERNATIONAL CONFERENCE ON POWER SYSTEMS TECHNOLOGY: POWERCON, VOLS 1- 6, 2006, : 2215 - 2218
  • [3] A time-interval sequence classification method
    Tsai, Chieh-Yuan
    Chen, Chih-Jung
    Chien, Chun-Ju
    [J]. KNOWLEDGE AND INFORMATION SYSTEMS, 2013, 37 (02) : 251 - 278
  • [4] SIMPLE METHOD FOR TIME-INTERVAL ANALYSIS
    FEIN, H
    [J]. REVIEW OF SCIENTIFIC INSTRUMENTS, 1963, 34 (04): : 432 - &
  • [5] A time-interval sequence classification method
    Chieh-Yuan Tsai
    Chih-Jung Chen
    Chun-Ju Chien
    [J]. Knowledge and Information Systems, 2013, 37 : 251 - 278
  • [6] A Dispatching Method for Integrated Energy System Based on Dynamic Time-interval of Model Predictive Control
    Xun Dou
    Jun Wang
    Zhen Wang
    Lijuan Li
    Linquan Bai
    Shuhui Ren
    Min Gao
    [J]. Journal of Modern Power Systems and Clean Energy, 2020, 8 (05) : 841 - 852
  • [7] A Dispatching Method for Integrated Energy System Based on Dynamic Time-interval of Model Predictive Control
    Dou, Xun
    Wang, Jun
    Wang, Zhen
    Li, Lijuan
    Bai, Linquan
    Ren, Shuhui
    Gao, Min
    [J]. JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 2020, 8 (05) : 841 - 852
  • [8] Design the time-interval based fairness partitioning method in DVE
    Won, Dongkee
    Kim, Beobkyun
    Chung, Seungjong
    An, Dongun
    [J]. 2007 INTERNATIONAL SYMPOSIUM ON INFORMATION TECHNOLOGY CONVERGENCE, PROCEEDINGS, 2007, : 81 - +
  • [9] Patterns of time-interval based patterns for improved multivariate time series data classification
    Shenderovitz, Gil
    Sheetrit, Eitam
    Nissim, Nir
    [J]. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2024, 133
  • [10] A method for continuous superprecise time-interval measurement
    Artyukh, YN
    [J]. AUTOMATIC CONTROL AND COMPUTER SCIENCES, 2001, 35 (05) : 11 - 18