DSTATCOM employing hybrid neural network control technique for power quality improvement

被引:29
|
作者
Kumar, Anup Panda [1 ]
Mangaraj, Mrutyunjaya [1 ]
机构
[1] Natl Inst Technol Rourkela, Elect Engn, Rourkela 769008, India
关键词
static VAr compensators; neurocontrollers; power supply quality; backpropagation; power factor correction; capacitors; power convertors; harmonic distortion; DSTATCOM; hybrid neural network control technique; power quality; hybrid control technique; gradient descent back propagation; two-level distribution static compensator; harmonic mitigation; reactive loads; voltage source converter; real-time digital simulator; harmonics distortion; IEEE-519; standard; CONTROL STRATEGIES; FILTER; PERFORMANCE; ALGORITHM; TOPOLOGY; 3-PHASE; VOLTAGE; PI;
D O I
10.1049/iet-pel.2016.0556
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
A new hybrid control technique called gradient descent back propagation (GDBP)-based i cos phi for a three phase two-level distribution static compensator (DSTATCOM) to perform the functions such as harmonic mitigation, power factor correction under reactive loads, which further reduces the DC link voltage across the self-supported capacitor of voltage source converter (VSC). The weighted value of fundamental active and reactive components of load currents are extracted using the proposed control technique to generate the reference source currents. Furthermore, these currents are used to trigger the VSC of the DSTATCOM. The effectiveness of this control technique is demonstrated through simulation using MATLAB/SIMULINK and sim power system tool boxes. The real-time implementation of DSTATCOM is also realised by real-time digital simulator. These results reveal the robustness of the proposed DSTATCOM as it is showing outstanding harmonic compensation capabilities under the various loading conditions and keeping the total harmonics distortion of the source current well <5%, the limit imposed by IEEE-519 standard.
引用
收藏
页码:480 / 489
页数:10
相关论文
共 50 条
  • [41] Power Quality Improvement in Isolated Distributed Power Generating System Using DSTATCOM
    Arya, Sabha Raj
    Niwas, Ram
    Bhalla, Krishan Kant
    Singh, Bhim
    Chandra, Ambrish
    Al-Haddad, Kamal
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2015, 51 (06) : 4766 - 4774
  • [42] Droop Controlled Microgrid With DSTATCOM for Reactive Power Compensation and Power Quality Improvement
    Tan, Kuang-Hsiung
    Li, Meng-Yang
    Weng, Xiang-Yu
    IEEE ACCESS, 2022, 10 : 121602 - 121614
  • [43] SOLAR ENERGY CONTROL AND POWER QUALITY IMPROVEMENT USING MULTILAYER FEED FORWARD NEURAL NETWORK
    Dehini, R.
    Berbaoui, B.
    JOURNAL OF THERMAL ENGINEERING, 2018, 4 (03): : 1954 - 1962
  • [44] DSTATCOM Application for Distribution Network Power Quality Enhancement: A Review
    Kallon, Mohamed Amidu
    Nyakoe, George Nyauma
    Muriithi, Christopher Maina
    2021 IEEE PES/IAS POWERAFRICA CONFERENCE, 2021, : 761 - 765
  • [45] Model Predictive Control of DSTATCOM for Power Quality Improvement: Modeling, Simulation and Analysis-Part1
    Sahu, Gokulananda
    Mahapatra, Kamalakanta
    2015 IEEE POWER, COMMUNICATION AND INFORMATION TECHNOLOGY CONFERENCE (PCITC-2015), 2015, : 1 - 6
  • [46] FPGA implementation of NN based LMS-LMF control algorithm in DSTATCOM for power quality improvement
    Malathi, S.
    Jayachandran, J.
    CONTROL ENGINEERING PRACTICE, 2020, 98 (98)
  • [47] A novel control method for DSTATCOM using artificial neural network
    Yang Xiao-ping
    Zhong Yan-ru
    Wang Yan
    IPEMC 2006: CES/IEEE 5TH INTERNATIONAL POWER ELECTRONICS AND MOTION CONTROL CONFERENCE, VOLS 1-3, CONFERENCE PROCEEDINGS, 2006, : 1724 - +
  • [48] Artificial neural network controlled DSTATCOM for mitigating power quality concerns in solar PV and wind system
    Irfan, Mohammed Mujahid
    Alharbi, Mohammed
    Basha, C. H. Hussaian
    SCIENTIFIC REPORTS, 2025, 15 (01):
  • [49] Adaptive Control Algorithm for DSTATCOM in three phase four wire distribution systems for Power Quality Improvement
    Ram, Atma
    Sharma, Paras Ram
    Ahuja, Rajesh Kr
    2019 3RD INTERNATIONAL CONFERENCE ON RECENT DEVELOPMENTS IN CONTROL, AUTOMATION & POWER ENGINEERING (RDCAPE), 2019, : 622 - 627
  • [50] Active filter for power quality improvement by artificial neural networks technique
    Farahat, MA
    Zobah, A
    UPEC 2004: 39th International Universitities Power Engineering Conference, Vols 1-3, Conference Proceedings, 2005, : 878 - 883