Artificial Neural Network based Controller for Active Power Line Conditioner

被引：0
|
作者：
Kiran, U. Raja [1 ]
Rao, D. V. [1 ]
Tiwari, Sachin [1 ]
Jain, S. [1 ]
机构：
[1] MANIT, Dept Elect Engn, Bhopal, India
来源：
2014 IEEE STUDENTS' CONFERENCE ON ELECTRICAL, ELECTRONICS AND COMPUTER SCIENCE (SCEECS) | 2014年
关键词：
APLC; ANN; Feedforward network; THD; VSI; COMPENSATION; HARMONICS; FILTER; DESIGN;
D O I：
暂无
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：
Proliferation of non-linear loads resulted in the problems of harmonics, unbalancing, poor power factor. To overcome this active power line conditioner (APLC) is used. In this paper, an artificial neural network (ANN) based controller for active power line conditioner is presented, in which feedforward neural network, trained by levenberg marquardt (LM) algorithm is implemented for generating reference current and pulses to inverter. The simulation results by using MATLAB/SIMULINK of both the conventional and ANN based controller model are discussed. The neutral current has been reduced to maintain system balance.
引用
收藏
页数：6
相关论文
共 50 条
  • [31] Investigation into an artificial neural network based on-line current controller for an HVDC transmission link
    Narendra, KG
    Sood, VK
    Khorasani, K
    Patel, RV
    IEEE TRANSACTIONS ON POWER SYSTEMS, 1997, 12 (04) : 1425 - 1431
  • [32] Adaptive RBF neural network based on sliding mode controller for active power filter
    Zhang H.
    Liu Y.
    International Journal of Power Electronics, 2020, 11 (04) : 460 - 481
  • [33] Optimal Design and Performance Investigation of Artificial Neural Network Controller for Solar- and Battery-Connected Unified Power Quality Conditioner
    Ramadevi, Alapati
    Srilakshmi, Koganti
    Balachandran, Praveen Kumar
    Colak, Ilhami
    Dhanamjayulu, C.
    Khan, Baseem
    INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2023, 2023
  • [34] Digital Control of Active Power Line Conditioner Based on Instantaneous Reactive Power Theory
    Thirumoorthi, P.
    Surendar, V.
    Yadaiah, N.
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON CONTROL AUTOMATION, COMMUNICATION AND ENERGY CONSERVATION INCACEC 2009 VOLUME II, 2009, : 909 - +
  • [35] An automatic diagnosis method for an open switch fault in unified power quality conditioner based on artificial neural network
    Mostefa, Tabbakh
    Tarak, Benslimane
    Hachemi, Glaoui
    TRAITEMENT DU SIGNAL, 2018, 35 (01) : 7 - 21
  • [36] A Predictive Direct Power Control Reproduced by an Artificial Neural Network Controller
    de Marchi, Rodrigo Andreoli
    Bim, Edson
    PROCEEDINGS OF THE IECON 2016 - 42ND ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2016, : 1888 - 1893
  • [37] Modelling of Fuzzy Logic Controller of a Maximum Power Point Tracker Based on Artificial Neural Network
    Benkercha, Rabah
    Moulahoum, Samir
    Colak, Ilhami
    2017 16TH IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS (ICMLA), 2017, : 485 - 492
  • [38] Artificial neural network based maximum power point tracking controller for photovoltaic standalone system
    Khanaki, Razieh
    Radzi, Mohd Amran Mohd
    Marhaban, Mohammad Hamiruce
    INTERNATIONAL JOURNAL OF GREEN ENERGY, 2016, 13 (03) : 283 - 291
  • [39] NSGA-II Optimized Neural Network Controlled Active Power Line Conditioner Under Non-Sinusoidal Conditions
    Kavitha, D.
    Zobaa, A. F.
    Renuga, P.
    Kumar, V. Suresh
    INTERNATIONAL REVIEW OF ELECTRICAL ENGINEERING-IREE, 2011, 6 (05): : 2604 - 2610
  • [40] Fuzzy logic control of an active power line conditioner
    Kirawanich, P
    O'Connell, RA
    IEEE TRANSACTIONS ON POWER ELECTRONICS, 2004, 19 (06) : 1574 - 1585
12345