Neuroidentification of system parameters for the shunt & series branch control of UPFC

被引：1
|
作者：
Kalyani, RP [1 ]
Venayagamoorthy, GK [1 ]
Crow, M [1 ]
机构：
[1] Univ Missouri, Dept Elect & Comp Engn, Rolla, MO 65401 USA
来源：
2003 IEEE POWER ENGINEERING SOCIETY GENERAL MEETING, VOLS 1-4, CONFERENCE PROCEEDINGS | 2003年
关键词：
power system; Unified Power Flow Controller (UPFC); neuroidentification; adaptive control;
D O I：
10.1109/PES.2003.1271018
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：
The crucial factor affecting the modern power systems today is load flow control. The Unified Power Flow Controller (UPFC) forms an affective means for controlling the power flow. The UPFC consists of shunt and series inverters which are conventionally controlled using linear controllers. This paper presents the design of neuroidentifiers that identify the system parameters that determine the UPFC controller outputs one-time step ahead thus, making the pathway for the design of adaptive neurocontrollers. Two neuroidentifiers are used for identifying the nonlinear dynamics of power system and UPFC, one neuroidentifier for the shunt inverter and the other for the series inverter. Simulation results carried out in the PSCAD/EMTDC environment are presented to show the successful neuroidentification of system parameters are possible.
引用
收藏
页码：2407 / 2412
页数：6
相关论文
共 50 条
  • [1] Neuroidentification of system parameters of the UPFC in a multimachine power system
    Kalyani, RP
    Venayagamoorthy, GK
    PROCEEDINGS OF INTERNATIONAL CONFERENCE ON INTELLIGENT SENSING AND INFORMATION PROCESSING, 2004, : 243 - 248
  • [2] A continually online trained neurocontroller for the series branch control of the UPFC
    Kalyani, RP
    Venayagamoorthy, GK
    PROCEEDINGS OF THE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS 2003, VOLS 1-4, 2003, : 2982 - 2987
  • [3] Operation of Series and Shunt Converters with 48-pulse Series Connected Three-level NPC Converter for UPFC
    Zhao, Tiefu
    Bhattacharya, Subhashish
    Huang, Alex Q.
    IECON 2008: 34TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, VOLS 1-5, PROCEEDINGS, 2008, : 3187 - 3192
  • [4] An Add-On Self-Tuning Control System for a UPFC Application
    Malhotra, Urvi
    Gokaraju, Ramakrishna
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2014, 61 (05) : 2378 - 2388
  • [5] The UPFC intelligent control system based on human-simulated intelligent control
    Chen, Z
    Yan, W
    Xu, G
    Wang, GJ
    2003 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-5, PROCEEDINGS, 2003, : 736 - 740
  • [6] Power System Stabilty Enhancement Using Adaptive NeuroFuzzy Control for UPFC
    Ahmad, Saghir
    Badar, Rabiah
    Khan, Laiq
    2013 IEEE 9TH INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES (ICET 2013), 2013, : 256 - 261
  • [7] Coordinated control of TCSC and UPFC to aid damping oscillations in the power system
    Kumar, Harish
    Singh, Ravindra Pratap
    INTERNATIONAL JOURNAL OF ELECTRONICS, 2019, 106 (12) : 1938 - 1963
  • [8] Installation, System-level Control Strategy and Commissioning of the Nanjing UPFC Project
    Yang, Xiaomei
    Wang, Weiyuan
    Cai, Hui
    Song, Pengcheng
    Xu, Zheng
    2017 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, 2017,
  • [9] Enhancement of power system security level through the power flow control of UPFC
    Kim, SH
    Lim, JU
    Moon, SI
    2000 IEEE POWER ENGINEERING SOCIETY SUMMER MEETING, CONFERENCE PROCEEDINGS, VOLS 1-4, 2000, : 38 - 43
  • [10] System-level Control Strategy for UPFC Power Grids Integrated with UHVDC
    Yang J.
    Song P.
    Xu Z.
    Cai H.
    Xie Z.
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2019, 43 (10): : 109 - 117
12345