Modified Proportionate Affine Projection Algorithm Based Adaptive DSTATCOM Control With Increased Convergence Speed

被引:20
作者
Dash, Arobinda [1 ]
Muduli, Utkal Ranjan [2 ]
Prakash, Surya [1 ]
Al Hosani, Khalifa [2 ]
Gongada, Sandhya Rani [3 ]
Behera, Ranjan Kumar [1 ]
机构
[1] Indian Inst Technol IIT Patna, Dept Elect Engn, Patna 801103, Bihar, India
[2] Khalifa Univ, Adv Power & Energy Ctr, Dept Elect Engn & Comp Sci, Abu Dhabi, U Arab Emirates
[3] Vasavi Coll Engn, Dept Elect & Elect Engn, Hyderabad 500089, India
关键词
Adaptive filters; Power harmonic filters; Active filters; Optimized production technology; Harmonic analysis; Reactive power; Convergence; Adaptive filter; current compensation; DSTATCOM; power quality; voltage source converter; ACTIVE POWER FILTER; DISTRIBUTION STATIC COMPENSATOR; DC-OFFSET COMPENSATION; TIED SPV-DSTATCOM; QUALITY IMPROVEMENT; CONTROL STRATEGY; IMPLEMENTATION; PERFORMANCE; STABILITY;
D O I
10.1109/ACCESS.2022.3169618
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The three-phase DSTATCOM is prone to higher dynamics due to grid disturbances. The proportionate affine projection algorithm (PAPA) is an adaptive filter that can be used for DSTATCOM control. In order to overcome the sluggish convergence speed of adaptive filters, PAPA is proposed in this paper. The convergence rate versus the steady-state error is a trade-off in conventional adaptive filters. However, the utilization of two adaptive filters in CSS-PAPA increases the convergence and decreases the steady-state error. The suggested filter has the advantage of having a lower computational cost than a standard adaptive filter. The proposed filter helps the inverter to work as a shunt compensator. The goal of the suggested controller is to adjust for reactive power and unity power factor during faulty conditions. The proposed DSTATCOM controller has undergone experimental validation in the laboratory.
引用
收藏
页码:43081 / 43092
页数:12
相关论文
共 50 条
[31]   Individual-Activation-Factor Memory Proportionate Affine Projection Algorithm With Evolving Regularization [J].
Zhang, Tao ;
Jiao, Hai-Quan ;
Lei, Zhi-Chun .
IEEE ACCESS, 2017, 5 :4939-4946
[32]   Convergence and Performance Analysis of the Affine Projection Algorithm with Direction Error [J].
ZHI Yongfeng ;
SI Lei ;
SHI Fuqian ;
DAI Dameng .
ChineseJournalofElectronics, 2017, 26 (02) :351-357
[33]   Convergence and Performance Analysis of the Affine Projection Algorithm with Direction Error [J].
Zhi Yongfeng ;
Si Lei ;
Shi Fuqian ;
Dai Dameng .
CHINESE JOURNAL OF ELECTRONICS, 2017, 26 (02) :351-357
[34]   A novel affine projection algorithm for fast convergence of sparse system [J].
Yoo J.W. .
Transactions of the Korean Institute of Electrical Engineers, 2020, 69 (05) :719-722
[35]   Adaptive Neurofuzzy Inference System Least-Mean-Square-Based Control Algorithm for DSTATCOM [J].
Badoni, Manoj ;
Singh, Alka ;
Singh, Bhim .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2016, 12 (02) :483-492
[36]   Evolving Order Based Affine Projection Sign Algorithm For Enhanced Adaptive Filtering [J].
Zhao, Ji ;
Ni, Xia ;
Li, Qiang ;
Tang, Lingli ;
Zhang, Hongbin .
IEEE SIGNAL PROCESSING LETTERS, 2024, 31 :1530-1534
[37]   A new incremental affine projection-based adaptive algorithm for distributed networks [J].
Li, Leilei ;
Chambers, Jonathon A. .
SIGNAL PROCESSING, 2008, 88 (10) :2599-2603
[38]   A Variable Step-Size Proportionate Affine Projection Algorithm for Identification of Sparse Impulse Response [J].
Ligang Liu ;
Masahiro Fukumoto ;
Sachio Saiki ;
Shiyong Zhang .
EURASIP Journal on Advances in Signal Processing, 2009
[39]   A Variable Step-Size Proportionate Affine Projection Algorithm for Identification of Sparse Impulse Response [J].
Liu, Ligang ;
Fukumoto, Masahiro ;
Saiki, Sachio ;
Zhang, Shiyong .
EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2009,
[40]   Cost-Effective Proportionate Affine Projection Algorithm with Variable Parameters for Acoustic Feedback Cancellation [J].
Okhassov, Timur ;
Jamwal, Prashant Kumar ;
Akhtar, Muhammad Tahir .
2021 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA ASC), 2021, :416-422