Effective Real-Time Operation and Protection Scheme of Microgrids Using Distributed Dynamic State Estimation

被引:54
|
作者
Choi S. [1 ]
Meliopoulos A.P.S. [2 ]
机构
[1] Smart Power Grid Research Center, Korea Electrotechnology Research Institute, Uiwang
[2] School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, 30332-0250, GA
关键词
Distributed dynamic state estimation; distributed energy resources management system; microgrid protection; phasor measurement unit (PMU); setting-less component protection;
D O I
10.1109/TPWRD.2016.2580638
中图分类号
学科分类号
摘要
This paper proposes an effective scheme for real-time operation and protection of microgrids based on the distributed dynamic state estimation (DDSE) that is applied to a single renewable distributed energy resource (DER) or other components. First, the DDSE can be used for setting-less component protection that applies dynamic state estimation on a component under protection with real-time measurements and dynamic models of the component. Based on the results, the well-known chi-square test yields the confidence level that quantifies the goodness of fit of models to measurements, indicating the health status of the component. With this approach, renewable DERs in microgrids can be protected on an autonomous and adaptive basis. Meanwhile, the estimated state variables of each component are converted to phasor data with time tags, and then collected to the distributed energy resources management (DERMS) of microgrids. These aggregated phasor data that are once filtered by the DDSE are input to the static state estimation in the DERMS along with unfiltered data sent from conventional meters, relays, and digital fault recorders, ultimately generating real-time operating conditions of microgrids. This paper also provides numerical simulations for comparing the DDSE-based approach with the conventional centralized state estimation in terms of data accuracy and computational speeds. © 2016 IEEE.
引用
收藏
页码:504 / 514
页数:10
相关论文
共 50 条
  • [31] Optimal Design of Islanded Microgrids Considering Distributed Dynamic State Estimation
    El-Sharafy, Mohamed Zaki
    Saxena, Shivam
    Farag, Hany E.
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2021, 17 (03) : 1592 - 1603
  • [32] Real-Time Adaptive Dynamics Based State Estimation Scheme for Unmanned Aircrafts
    Wahbah, Mohamad
    Chehadeh, Mohamad
    Hamandi, Mahmoud
    Seneviratne, Lakmal
    Zweiri, Yahya
    IEEE SENSORS JOURNAL, 2022, 22 (14) : 14397 - 14414
  • [33] Online Synchrophasor-Based Dynamic State Estimation using Real-Time Digital Simulator
    Khazraj, Hesam
    Adewole, Adeyemi Charles
    Annakkage, Udaya D.
    da Silva, F. Faria
    Bak, Claus Leth
    Rajapakse, Athula D.
    2018 IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2018 IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC / I&CPS EUROPE), 2018,
  • [34] Real-time monitoring of Distributed Generation based on state estimation and hypothesis testing
    Costa, Antonio Simoes
    dos Santos, Mariana Carneiro
    2007 IEEE LAUSANNE POWERTECH, VOLS 1-5, 2007, : 538 - 543
  • [35] Distributed Real-Time OPF and State Estimation Architecture for Active Distribution Networks
    Elfeky, Karim
    Villa, Geber
    Garcia, Pablo
    Cann, Jose M.
    2023 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, PESGM, 2023,
  • [36] Distributed State Estimation Based on the Real-time Dispatch and Control Cloud Platform
    Shan, Lianfei
    Yu, Jianming
    Zhang, Jianan
    Li, Yadi
    Zhou, Erzhuan
    Zhao, Lin
    2018 2ND IEEE CONFERENCE ON ENERGY INTERNET AND ENERGY SYSTEM INTEGRATION (EI2), 2018, : 710 - 715
  • [37] Performance Evolution in Distributed Real-Time System under Dynamic Load Sharing Scheme
    Kaushal, Urmani
    Kumar, Avanish
    Kumar, Narendra
    2014 INTERNATIONAL CONFERENCE ON COMPUTING FOR SUSTAINABLE GLOBAL DEVELOPMENT (INDIACOM), 2014, : 326 - 331
  • [38] Real-time reactive power distribution in microgrids by dynamic programing
    Levron, Yoash
    Beck, Yuval
    Katzir, Liran
    Guerrero, Josep M.
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2017, 11 (02) : 530 - 539
  • [39] Real-Time State Estimation in a Flight Simulator Using fNIRS
    Gateau, Thibault
    Durantin, Gautier
    Lancelot, Francois
    Scannella, Sebastien
    Dehais, Frederic
    PLOS ONE, 2015, 10 (03):
  • [40] On the design of a dynamic distributed real-time environment
    Streich, H
    Gergeleit, M
    PROCEEDINGS OF THE JOINT WORKSHOP ON PARALLEL AND DISTRIBUTED REAL-TIME SYSTEMS: FIFTH INTERNATIONAL WORKSHOP ON PARALLEL AND DISTRIBUTED REAL-TIME SYSTEMS (WPDRTS) AND THE THIRD WORKSHOP ON OBJECT-ORIENTED REAL-TIME SYSTEMS (OORTS), 1997, : 251 - 256