Strategy for analysis of loss situation and identification of loss sources in electricity distribution networks

被引:0
|
作者
Raesaar, P. [1 ]
Tiigimagi, E. [1 ]
Valtin, J. [1 ]
机构
[1] Tallinn Univ Technol, Dept Elect Power Engn, EE-19086 Tallinn, Estonia
关键词
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
Electrical utilities must make their operation more efficient. So, reducing losses in distribution networks remains nowadays ail unsolved problem of considerable importance for sound management of any utility, especially ill countries with high level of losses. The first step for sound loss management and elaboration of loss reduction measures is analysis of the loss situation in the network. This paper describes a strategy for analysis of energy losses and identification of the sources of excessive losses ill distribution networks with the purpose of subsequent more detailed investigations and development of action plans to solve the overall problem.
引用
收藏
页码:297 / 307
页数:11
相关论文
共 50 条
  • [31] A Loss Reduction Optimization Method for Distribution Network Based on Combined Power Loss Reduction Strategy
    Xie, Jihua
    Chen, Chang
    Long, Huan
    [J]. COMPLEXITY, 2021, 2021
  • [32] Bidding Strategy of Energy Storage Considering Electricity Price Uncertainty and Loss Cost
    Li, Kejiang
    Song, Tianhao
    Han, Xiaoqing
    Zhang, Dongxia
    [J]. Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2020, 44 (17): : 52 - 59
  • [33] Electricity-theft Detection for High-loss Distribution Area Based on Granger Causality Analysis
    Jin, Sheng
    Su, Sheng
    Cao, Yijia
    Xue, Yang
    Yang, Yining
    Liu, Sha
    [J]. Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2020, 44 (23): : 82 - 89
  • [34] Equidistant distribution loss for person re-identification
    Yang, Zhao
    Liu, Jiehao
    Liu, Tie
    Zhu, Yuanxin
    Wang, Li
    Tao, Dapeng
    [J]. NEUROCOMPUTING, 2021, 455 : 255 - 264
  • [35] Distribution identification and information loss in a measurement uncertainty network
    Duncan, Paul M.
    Whittaker, D. S.
    [J]. METROLOGIA, 2021, 58 (03)
  • [36] Analysis on the Influencing Factor and Strategy of the Loss of Salesman
    Yang Haiguang
    [J]. PROCEEDINGS OF 2013 INTERNATIONAL SYMPOSIUM - INTERNATIONAL MARKETING SCIENCE AND INFORMATION TECHNOLOGY, 2013, : 206 - 208
  • [37] Minimum loss operation of distribution networks with photovoltaic generation
    Jabr, Rabih A.
    [J]. IET RENEWABLE POWER GENERATION, 2014, 8 (01) : 33 - 44
  • [38] Allocating Loss with Network Reconfiguration in Radial Distribution Networks
    Mishra, Sivkumar
    Hota, Ambika Prasad
    [J]. 2018 INTERNATIONAL CONFERENCE ON RECENT INNOVATIONS IN ELECTRICAL, ELECTRONICS & COMMUNICATION ENGINEERING (ICRIEECE 2018), 2018, : 223 - 229
  • [39] Novel approach for loss allocation of distribution networks with DGs
    Jagtap, Kushal Manohar
    Khatod, Dheeraj Kumar
    [J]. ELECTRIC POWER SYSTEMS RESEARCH, 2017, 143 : 303 - 311
  • [40] Comprehensive Optimization for Energy Loss Reduction in Distribution Networks
    Yang, Lin
    Guo, Zhizhong
    [J]. 2008 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, VOLS 1-11, 2008, : 5510 - 5517