Application of lyapunov-based adaptive neural network UPFC damping controllers for transient stability enhancement

Chia Chi Chu*, Hung Chi Tsai

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

21 Scopus citations

Abstract

A Lyapunov-based adaptive neural network unified power flow controller (UPFC) is developed for improving transient stability of power systems. A simple UPFC dynamical model, composed of a controllable shunt susceptance on the shunt side and an ideal complex transformer on the series side, is utilized to analyze UPFC dynamical characteristics and control parameters. The corresponding energy function and the damping control strategy of a classical generator embedded with a UPFC is derived analytically. This energy-based damping control strategy can also be extended into the interconnected power systems by considering the associated two-machine equivalent model. In order to consider more detailed power system models and model uncertainty issues, we incorporate the adaptive recurrent neural network into our UPFC damping controller. This controller can be treated as neural network approximations of Lyapunov control actions in real time and can adjust the corresponding weights in the neural network by the built-in back propagation algorithm. Simulation results demonstrate that the proposed control strategy is very effective for suppressing power swing even under severe system conditions.

Original languageEnglish
Title of host publicationIEEE Power and Energy Society 2008 General Meeting
Subtitle of host publicationConversion and Delivery of Electrical Energy in the 21st Century, PES
DOIs
StatePublished - 2008
Externally publishedYes
EventIEEE Power and Energy Society 2008 General Meeting: Conversion and Delivery of Electrical Energy in the 21st Century, PES - Pittsburgh, PA, United States
Duration: 20 07 200824 07 2008

Publication series

NameIEEE Power and Energy Society 2008 General Meeting: Conversion and Delivery of Electrical Energy in the 21st Century, PES

Conference

ConferenceIEEE Power and Energy Society 2008 General Meeting: Conversion and Delivery of Electrical Energy in the 21st Century, PES
Country/TerritoryUnited States
CityPittsburgh, PA
Period20/07/0824/07/08

Keywords

  • Back propagation
  • Energy functions
  • FACTS
  • Recurrent neural network
  • Transient stability
  • UPFC

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