Advanced Active Islanding Method With Recursive Least Square for Microgrid

被引:0
|
作者
Somalwar, Rahul S. [1 ]
Kadwane, S. G. [2 ]
Ruikar, Jayesh [1 ]
机构
[1] Bajaj Inst Technol, Dept Elect Engn, Wardha 442001, India
[2] YCCE, Dept Elect Engn, Nagpur 440010, India
来源
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN INDUSTRIAL ELECTRONICS | 2024年 / 5卷 / 03期
关键词
Islanding; Inverters; Voltage; Reactive power; Time-frequency analysis; Resonant frequency; Active frequency drift (AFD); distributed generation; islanding detection methods; microgrid; point of common coupling (PCC); recursive least square (RLS); PERFORMANCE; VOLTAGE; SHIFT;
D O I
10.1109/JESTIE.2023.3274476
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Islanding is one of the challenging task for microgrid system. There are various types of islanding methods. Local methods also classified as passive, active, and hybrid methods. Passive islanding methods are easy to execute, cheaper for multi-distributed generation (DG) system but have large nondetection zone (NDZ). A very few active and hybrid methods were tested on multi-DG system till now. In this article, a new method is proposed for DGs connected in parallel considering a recursive least square (RLS) algorithm at point of common coupling for islanding. There are various parameters like voltage, current, frequency, impedance, harmonics, etc., used to detect the islanding. Here a frequency of active frequency drift (AFD) current with RLS is considered as a variable parameter. Further comparative analysis was done between conventional active and passive methods with the proposed method. In the proposed method, a variation of estimated frequency signal generates the tripping signal in fast manner as compare to other methods. The simulation results are analyzed based on MATLAB software and verified the same by implementing prototype hardware experimental setup. The analysis shows that the estimation of frequency for current of AFD with RLS approach is more suitable for islanding during zero power mismatch condition.
引用
收藏
页码:1055 / 1064
页数:10
相关论文
共 50 条
  • [41] Decouple implementation of weight decay for recursive least square
    Leung, Andrew Chi-Sing
    Xiao, Yi
    Xu, Yong
    Wong, Kwok-Wo
    NEURAL COMPUTING & APPLICATIONS, 2012, 21 (07): : 1709 - 1716
  • [42] Recursive SURE for iterative reweighted least square algorithms
    Xue, Feng
    Yagola, Anatoly G.
    Liu, Jiaqi
    Meng, Gang
    INVERSE PROBLEMS IN SCIENCE AND ENGINEERING, 2016, 24 (04) : 625 - 646
  • [44] Implementations of Seamless Transfer and Active Islanding Detections for Microgrid Applications
    Lin, Ming-Chuan
    Lu, Lin-Yu
    Chu, Chia-Chi
    2013 IEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE), 2013,
  • [45] Islanding detection method based on voltage divider for microgrid
    Li, Jun
    Huang, Xueliang
    Chen, Xiaohu
    Xu, Wen
    Xie, Miao
    Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2010, 30 (34): : 15 - 21
  • [46] New islanding detection method with adaptively threshold for microgrid
    Xie, Xing
    Xu, Wen
    Huang, Chun
    Fan, Xingming
    ELECTRIC POWER SYSTEMS RESEARCH, 2021, 195
  • [47] Method for Improving Voltage Waveform Quality of Islanding Microgrid
    Ren B.
    Yang Y.
    Sun X.
    Gaodianya Jishu/High Voltage Engineering, 2023, 49 (09): : 3956 - 3964
  • [48] MEMS Gyro Signal De-noising Method Based on Extended Recursive Least Square
    He Xiaofeng
    Hu Xiaoping
    Wu Meiping
    Yu Huiying
    Qu Haili
    PROCEEDINGS OF THE 27TH CHINESE CONTROL CONFERENCE, VOL 3, 2008, : 403 - 406
  • [49] An Adaptive Control Technique for Motion Synchronization by On-line Estimation of a Recursive Least Square Method
    Lee, Sang-Deok
    Jung, Seul
    INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2018, 16 (03) : 1103 - 1111
  • [50] Ballistic missile burnout states estimation based on exponential weighted recursive least square method
    Chai, Hua
    Liang, Yangang
    Tang, Guojin
    Guofang Keji Daxue Xuebao/Journal of National University of Defense Technology, 2014, 36 (06): : 82 - 87