Bad Data Analysis in Distribution State Estimation considering Load Models

被引：0
|
作者：
Braunstein, Sergio Halpern [1 ]
Rossoni, Aquiles [2 ]
Bretas, Newton Geraldo [3 ]
Bretas, Arturo [4 ]
机构：
[1] IFSul, Dept Electrotech, Sul Rio Grandense Fed Inst, Pelotas, Brazil
[2] Univ Fed Rio Grande do Sul, Dept Elect Engn, Porto Alegre, RS, Brazil
[3] Univ Sao Paulo, Dept Elect Engn, Sao Carlos, SP, Brazil
[4] Univ Florida, Dept Elect & Comp Engn, Gainesville, FL USA
来源：
2015 IEEE POWER & ENERGY SOCIETY GENERAL MEETING | 2015年
关键词：
load models; bad data analysis; distribution state estimation; smart grids; advanced metering infrastructure; DISTRIBUTION-SYSTEMS;
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：
This paper presents a study of bad data analysis in distribution state estimation considering pseudo-measurements given by load models. The bad data analysis is performed using the residual analysis, based on chi-square and normalized residual tests, and the geometrical approach, based on the use of composed measurement error and composed normalized error. This is the first work that assesses the geometrical analysis for distribution systems. A numerical study is conducted considering a 69-bus distribution system with advanced metering infrastructure. The results show a potential improvement using the geometrical analysis.
引用
收藏
页数：5
相关论文
共 50 条
  • [1] A Distribution System State Estimation Analysis Considering the Dynamic Load Effect
    Zhang, Bing
    Ma, Linlin
    Liu, Xiaoliang
    Liu, Guanhong
    Yang, Wenjia
    Ma, Xianli
    Yang, Kun
    Liu, Qian
    Wang, Chen
    Wang, Xiaohui
    PROCEEDINGS OF TENCON 2018 - 2018 IEEE REGION 10 CONFERENCE, 2018, : 2485 - 2489
  • [2] Online Estimation of Steady-State Load Models Considering Data Anomalies
    Tushar
    Pandey, Shikhar
    Srivastava, Anurag K.
    Markham, Penn
    Patel, Mahendra
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2018, 54 (01) : 712 - 721
  • [3] Harmonic state estimation for distribution systems based on optimization models considering daily load profiles
    Melo, Igor D.
    Pereira, Jose L. R.
    Ribeiro, Paulo F.
    Variz, Abilio M.
    Oliveira, Braulio C.
    ELECTRIC POWER SYSTEMS RESEARCH, 2019, 170 : 303 - 316
  • [4] Dynamic State Estimation Method for Generators Considering Bad Data in Input
    Zhu M.
    Liu H.
    Bi T.
    Xie Y.
    Zhao J.
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2022, 46 (07): : 94 - 103
  • [5] Dynamic State Estimation Method for Generator Considering Measurement of Bad Data
    Ma A.
    Jiang Q.
    Xiong H.
    Lu H.
    Jiang, Quanyuan (jqy@zju.edu.cn), 1600, Automation of Electric Power Systems Press (41): : 140 - 146
  • [6] Enhanced Bad Data Identification in Distribution System State Estimation
    Tabakhpour, Adel
    Abdelaziz, Morad
    2018 IEEE CANADIAN CONFERENCE ON ELECTRICAL & COMPUTER ENGINEERING (CCECE), 2018,
  • [7] Optimal PMU Placement and State Estimation in Indian Practical Systems Considering Multiple Bad Data and sudden change of load
    Kundu, Shubhrajyoti
    Thakur, Siddhartha Sankar
    2019 1ST IEEE INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY TECHNOLOGIES AND SYSTEMS (IEEE-ICSETS 2019), 2019, : 279 - 284
  • [8] New state estimation algorithm with bad data analysis
    Tripathy, S.C.
    Chohan, S.
    Balasubramanian, R.
    Journal of the Institution of Engineers (India): Electrical Engineering Division, 1995, 76 : 29 - 32
  • [9] Bad data identification in voltage sag state estimation of distribution system
    Zhang, Guo-Hui
    Wang, Bin
    Pan, Zhen-Cun
    Gao, Peng
    Dianwang Jishu/Power System Technology, 2010, 34 (08): : 69 - 73
  • [10] State Estimation in Distribution System Considering Effects of AMI Data
    Jia, Ziyu
    Chen, Jiaxiong
    Liao, Yuan
    2013 PROCEEDINGS OF IEEE SOUTHEASTCON, 2013,
12345