Enhanced Kullback-Leibler divergence based pilot protection for lines connecting battery energy storage stations

被引:0
|
作者
Liang, Yingyu [1 ]
Yang, Xiaoyang [1 ]
机构
[1] China Univ Min & Technol Beijing, Sch Mech & Elect Engn, Beijing 100083, Peoples R China
基金
中国国家自然科学基金;
关键词
Battery energy storage station; Pilot protection; Enhanced Kullback-Leibler divergence; CT saturation; DISTANCE PROTECTION; CURRENTS;
D O I
10.1016/j.rineng.2024.103370
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In light of the challenges faced by existing protection methods when battery energy storage station (BESS) and various nonideal conditions emerge, enhanced Kullback-Leibler divergence-based time-domain pilot protection is put forward in this article. Given the discrepancy in current waveforms between internal and external faults, KLD is employed to quantify the degree of similarity between two current waveforms, enabling the accurate distinction between internal and external faults. To eliminate the asymmetry of KLD, improved KLD(IKLD) is introduced. Whereafter, a technique is proposed to convert the current sampling sequence into a probability distribution that can be utilized by IKLD. To counteract the negative influence of current transformer(CT) saturation on IKLD-based protection, the time-domain waveform features of summation current are adequately employed to develop an enhanced KLD(EKLD). Further, high and low thresholds are legitimately designed to ensure both dependability and security. The flowchart of EKLD-based pilot protection is described, and its effectiveness is extensively validated by variation in fault resistance, location, type and operating mode of BESS using PSCAD and a hardware-in-the-loop(HIL) testing platform. Additionally, proposed protection outclasses power frequency component-based current differential protection and some up-to-date presented time-domain protection methods.
引用
收藏
页数:14
相关论文
共 50 条
  • [41] Tomographic Image Reconstruction Based on Minimization of Symmetrized Kullback-Leibler Divergence
    Kasai, Ryosuke
    Yamaguchi, Yusaku
    Kojima, Takeshi
    Yoshinaga, Tetsuya
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2018, 2018
  • [42] An improved incipient fault detection method based on Kullback-Leibler divergence
    Chen, Hongtian
    Jiang, Bin
    Lu, Ningyun
    ISA TRANSACTIONS, 2018, 79 : 127 - 136
  • [43] A Kullback-Leibler divergence based kernel for SVM classification in multimedia applications
    Moreno, PJ
    Ho, PP
    Vasconcelos, N
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 16, 2004, 16 : 1385 - 1392
  • [44] Fault-tolerant relative navigation based on Kullback-Leibler divergence
    Xiong, Jun
    Cheong, Joon Wayn
    Xiong, Zhi
    Dempster, Andrew G.
    Tian, Shiwei
    Wang, Rong
    Liu, Jianye
    INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2020, 17 (06)
  • [45] Kullback-Leibler divergence based wind turbine fault feature extraction
    Wu, Yueqi
    Ma, Xiandong
    2018 24TH IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND COMPUTING (ICAC' 18), 2018, : 483 - 488
  • [46] Clustering with multilayer perceptrons and Hebbian learning based on Kullback-Leibler divergence
    Filho, JRM
    Bezerra, MA
    Oliveira, LP
    MACHINE LEARNING FOR SIGNAL PROCESSING XIV, 2004, : 243 - 252
  • [47] Constrained Extended Kalman Filter based on Kullback-Leibler (KL) Divergence
    Li, Ruoxia
    Jan, Nabil Magbool
    Prasad, Vinay
    Huang, Biao
    2018 EUROPEAN CONTROL CONFERENCE (ECC), 2018, : 831 - 836
  • [48] Kullback-Leibler divergence-based ASR training data selection
    Gouvea, Evandro
    Davel, Marelie H.
    12TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2011 (INTERSPEECH 2011), VOLS 1-5, 2011, : 2308 - +
  • [49] Hardware Implementation of a Kullback-Leibler Divergence Based Signal Anomaly Detector
    Afgani, Mostafa
    Sinanovic, Sinan
    Haas, Harald
    2009 2ND INTERNATIONAL SYMPOSIUM ON APPLIED SCIENCES IN BIOMEDICAL AND COMMUNICATION TECHNOLOGIES (ISABEL 2009), 2009, : 517 - 522
  • [50] Face detection by generating and selecting features based on Kullback-Leibler divergence
    Morooka, Ken'ichi
    Arakawa, Junya
    Nagahashi, Hiroshi
    ELECTRONICS AND COMMUNICATIONS IN JAPAN PART III-FUNDAMENTAL ELECTRONIC SCIENCE, 2007, 90 (10): : 29 - 39