Decoupled reactive power compensation using neural network based control scheme

被引:0
|
作者
Singh, P [1 ]
机构
[1] Cent Elect Engn Res Inst, Ind Elect Grp, Pilani 333031, Rajasthan, India
关键词
D O I
10.1109/PESC.2005.1581637
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
It is proposed to decouple three phase load reactive power In fundamental and harmonic power components and then compensate these using a combination of conventional shunt and parallel hybrid active filter. This approach results in use of low power rated PWM converters and offers many other advantages as compared to conventional shunt compensation. A simple neural network assisted scheme for decomposing of three phase current or voltage waveforms under unbalanced and non-sinusoidal conditions has also been proposed. Detailed mathematical model of decomposing algorithm and its real time implementation on DSP has been presented. Experimental results obtained on a laboratory model under steady state and dynamic conditions under different operating conditions have been analyzed and presented to demonstrate the effectiveness of proposed decoupled reactive power compensation scheme.
引用
收藏
页码:289 / 295
页数:7
相关论文
共 50 条
  • [41] CONVERGENCE OF THE FAST DECOUPLED LOAD FLOW FOR SYSTEMS WITH HEAVY REACTIVE POWER COMPENSATION
    SEVAIOGLU, O
    ELECTRIC POWER SYSTEMS RESEARCH, 1992, 25 (02) : 91 - 99
  • [42] Research on Distribution Network Reactive Power Compensation Based on Low Voltage Power Grid
    Sun, Xin
    Wang, Wenjie
    Zhu, Ming
    8TH INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION - CA 2015, 2015, : 33 - 37
  • [43] Nonlinear predictive control with error compensation based on neural network
    Su, Chengli
    Li, Ping
    Li, Qian
    Wang, Shuqing
    DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS, 2006, 13E : 1702 - 1707
  • [44] Optimal Reactive Power Compensation of Distribution Network to Prevent Reactive Power Reverse
    邢洁
    曹瑞琳
    权钊龙
    袁智强
    Journal of Donghua University(English Edition), 2021, 38 (03) : 199 - 205
  • [45] Adaptive attitude control of UAV based on neural network compensation
    Li, Yihang
    Lei, Zhongkui
    Guo, Yueru
    Chen, Kuiyu
    Jin, Jie
    Yang, Yixin
    13TH ASIA CONFERENCE ON MECHANICAL AND AEROSPACE ENGINEERING, ACMAE 2022, 2023, 2472
  • [46] FIRE ANGLE CONTROL OF TCR AND TSC FOR REACTIVE POWER CONTROL IN ORDER TO REDUCE HARMONICS USING NEURAL NETWORK
    haidari, Z.
    PC 2008: PROCEEDINGS OF THE 8TH WSEAS INTERNAITONAL CONFERENCE ON POWER SYSTEMS AND POWER TECHNOLOGY, 2008, : 287 - 291
  • [47] Decoupled control of active and reactive power of a wind turbine based on DFIG and matrix converter
    Ghoudelbourk, S.
    Dib, D.
    Omeiri, A.
    ENERGY SYSTEMS-OPTIMIZATION MODELING SIMULATION AND ECONOMIC ASPECTS, 2016, 7 (03): : 483 - 497
  • [48] Reactive Power Sharing Control Based on Voltage Compensation Strategy in Microgrid
    Wang, Bing
    Liu, Shirong
    Zhang, Yao
    PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017), 2017, : 10745 - 10750
  • [50] Active Power Factor Compensation Based on a Geometric Phase Control Scheme
    Salcu, Sorin Ionut
    Iuoras, Adrian Mihai
    Szekely, Norbert Csaba
    Bojan, Mircea
    Rusu, Calin Gheroghe
    Fasola, Gheorghe Ioan
    2020 IEEE 11TH INTERNATIONAL SYMPOSIUM ON POWER ELECTRONICS FOR DISTRIBUTED GENERATION SYSTEMS (PEDG), 2020, : 130 - 135