Two separate continually online trained neurocontrollers for a Unified Power Flow Controller

被引：0
|
作者：
Kalyani, RP [1 ]
Venayagamoorthy, GK [1 ]
机构：
[1] Univ Missouri, Dept Elect & Comp Engn, Rolla, MO 65409 USA
来源：
2003 IEEE INDUSTRY APPLICATIONS CONFERENCE, VOLS 1-3: CROSSROADS TO INNOVATIONS | 2003年
关键词：
adaptive control; neuroidentifier; neurocontroller; power system; Unified Power Flow Controller (UPFC);
D O I：
暂无
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 crucial factor affecting the modern power systems today is load flow control. The Unified Power Flow Controller (UPFC) provides an effective means for controlling the power flow and improving the transient stability in a power network. The UPFC has fast complex dynamics and its conventional control is based on a linearized model of the power system. This paper presents the design of neurocontrollers that control the power flow and regulates voltage along a transmission line. Two separate neurocontrollers are used for controlling the UPFC, one neurocontroller for the shunt inverter and the other for the series inverter. Simulation studies carried out in the PSCAD/EMTDC environment is described and results show the successful control of the UPFC and the power system with the two neurocontrollers. Performances of the neurocontrollers are compared with the conventional PI controllers for system oscillation damping.
引用
收藏
页码：308 / 315
页数：8
相关论文
共 50 条
  • [1] Two separate continually online-trained neurocontrollers for a unified power flow controller
    Venayagamoorthy, GK
    Kalyani, RP
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2005, 41 (04) : 906 - 916
  • [2] Two separate continually online trained neurocontrollers for excitation and turbine control of a turbogenerator
    Venayagamoorthy, GK
    Harley, RG
    IAS 2000 - CONFERENCE RECORD OF THE 2000 IEEE INDUSTRY APPLICATIONS CONFERENCE, VOLS 1-5, 2000, : 1263 - 1267
  • [3] Two separate continually online-trained neurocontrollers for excitation and turbine control of a turbogenerator
    Venayagamoorthy, GK
    Harley, RG
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2002, 38 (03) : 887 - 893
  • [4] A practical Continually Online Trained Artificial Neural Network controller for a turbogenerator
    Venayagamoorthy, GK
    Harley, RG
    IEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE 98) - PROCEEDINGS, VOLS 1 AND 2, 1998, : 385 - 389
  • [5] A continually online-trained neural network controller for brushless DC motor drives
    Rubaai, A
    Kotaru, R
    Kankam, MD
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2000, 36 (02) : 475 - 483
  • [6] Power Flow Control by Unified Power Flow Controller
    Khan, Muhammad Yousaf Ali
    Khalil, Umair
    Khan, Hamayun
    Uddin, Amad
    Ahmed, Sheeraz
    ENGINEERING TECHNOLOGY & APPLIED SCIENCE RESEARCH, 2019, 9 (02) : 3900 - 3904
  • [7] Power Flow Control by Unified Power Flow Controller
    Khalil, Umair
    Khan, Muhammad Yousaf Ali
    Khan, Umer Amir
    Atiq, Shahid
    MEHRAN UNIVERSITY RESEARCH JOURNAL OF ENGINEERING AND TECHNOLOGY, 2020, 39 (02) : 257 - 266
  • [8] Investigation of a unified power flow controller
    Makombe, T
    Jenkins, N
    IEE PROCEEDINGS-GENERATION TRANSMISSION AND DISTRIBUTION, 1999, 146 (04) : 400 - 408
  • [9] Investigation of a unified power flow controller
    Manchester Centre for Electrical Energy, UMIST, PO Box 88, Manchester, M60 1QD, United Kingdom
    IEE Proc Gener Transm Distrib, 4 (400-408):
  • [10] Multiterminal unified power flow controller
    Mwinyiwiwa, B
    Lu, B
    Ooi, BT
    IEEE TRANSACTIONS ON POWER ELECTRONICS, 2000, 15 (06) : 1088 - 1093
12345