Differential evolution-based weighted least squares state estimation with phasor measurement units

被引：0
|
作者：
Cuello-Reyna, Alfredo A. [1 ]
Cedeno-Maldonado, Jose R. [1 ]
机构：
[1] Univ Puerto Rico, Dept Elect & Comp Engn, Mayaguez, PR 00681 USA
来源：
IEEE MWSCAS'06: PROCEEDINGS OF THE 2006 49TH MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS, | 2006年
关键词：
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Differential Evolution (DE) is a very simple population-based evolutionary computation technique used for solving complex optimization problems. This technique is well-suited for many problems in the power systems area, including state estimation. This paper presents an overview of the Weighted Least Squares State Estimation Problem and it modification to incorporate the information provided by the phasor measurement units. It also presents a comprehensive description of the Differential Evolution optimization algorithm. A methodology for solving the power system state estimation problem, based on the Differential Evolution. technique, is presented. The applicability of the proposed method is validated through a case study.
引用
收藏
页码：576 / +
页数：3
相关论文
共 50 条
  • [1] Weighted Least Squares State Estimation Based on the Optimal Weight
    Yang Xiaoli
    Hu Zongshuai
    Fan Rusen
    Yang Heng
    Xu Haotian
    Wang Yong
    Tian Xiuxia
    2015 THIRD INTERNATIONAL CONFERENCE ON TECHNOLOGICAL ADVANCES IN ELECTRICAL, ELECTRONICS AND COMPUTER ENGINEERING (TAEECE), 2015, : 12 - 16
  • [2] Robust Incrementalized Least-Squares Estimation Method in State Estimation with Phasor Measurement Unit Measurements
    Bindu S.
    Ushakumari S.
    Savier J.S.
    Journal of The Institution of Engineers (India): Series B, 2022, 103 (04) : 1315 - 1325
  • [3] Inclusion of Phasor Measurement Units in Least Measurement Rejected State Estimator
    Ahmad, Farhan Ammar
    Habiballah, Ibrahim Omar
    Shahriar, Mohammad Shoaib
    2018 AUSTRALASIAN UNIVERSITIES POWER ENGINEERING CONFERENCE (AUPEC), 2018,
  • [4] Research on Multisensor State Fusion Estimation Based on Weighted Least Squares
    Zhu, Peiyi
    Xu, Benlian
    Xu, Baoguo
    2008 INTERNATIONAL SYMPOSIUM ON INTELLIGENT INFORMATION TECHNOLOGY APPLICATION, VOL III, PROCEEDINGS, 2008, : 746 - +
  • [5] Dynamic Phasor Estimates based on improved Taylor weighted least squares
    Zhao Qingsheng
    Wang Xin
    Cao Lei
    Wang Xuping
    2018 5TH INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND CONTROL ENGINEERING (ICISCE 2018), 2018, : 723 - 727
  • [6] Adaptive Phasor Estimation Algorithm Based on a Least Squares Method
    Kim, Woo-Joong
    Nam, Soon-Ryul
    Kang, Sang-Hee
    ENERGIES, 2019, 12 (07)
  • [7] Diakoptic State Estimation Using Phasor Measurement Units
    Jiang, Weiqing
    Vittal, Vijay
    Heydt, Gerald T.
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2008, 23 (04) : 1580 - 1589
  • [8] Optimal placement of phasor measurement units for state estimation
    Chakrabarti, Saikat
    Kyriakides, Elias
    PROCEEDINGS OF THE SEVENTH IASTED INTERNATIONAL CONFERENCE ON POWER AND ENERGY SYSTEMS, 2007, : 73 - +
  • [9] Distribution System State Estimation with Phasor Measurement Units
    Liu, Min
    MECHANICAL COMPONENTS AND CONTROL ENGINEERING III, 2014, 668-669 : 687 - 690
  • [10] Online Inertia Estimation of Power Systems Based on Transient Phasor Data with Weighted Least Squares Method
    Wang, Yukai
    Yokoyama, Akihiko
    Baba, Jumpei
    2023 IEEE BELGRADE POWERTECH, 2023,
12345