Hierarchical micro-genetic algorithm paradigm for automatic optimal weight selection in H∞ loop-shaping robust flexible AC transmission system damping control design

K.L. Lo, L. Khan

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

A hierarchical-micro-genetic-algorithm-(H-μGA)-based strategy is presented for suitable weight selection in H∞ loop-shaping robust damping control of flexible AC transmission system (FACTS) devices via normalised coprime factorisation. In H∞ robust control design, the selection of a weighting function is an arduous and time consuming task. To muddle through this dilemma, an HGA in liaison with a micro-GA is employed to simultaneously select an appropriate structure and parameters of the weighting function in order to achieve a desired performance without the usual trial and error practice. To evaluate the effectiveness of the proposed technique, H∞ robust damping control systems for SVC and TCSC are investigated and compared with the classical H∞ loop- shaping control systems design. The performance and robustness of the proposed FACTS damping controls are validated through small signal and large signal simulations in a multi-machine power system.
Original languageEnglish
Pages (from-to)109-118
Number of pages9
JournalIEE Proceedings Generation Transmission and Distribution
Volume151
Issue number1
DOIs
Publication statusPublished - 2004

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Keywords

  • damping
  • flexible AC transmission systems
  • genetic algorithms
  • power transmission control
  • robust control
  • static VAr compensators
  • thyristor applications

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