Lo, K.L. and Khan, L. (2004) Hierarchical micro-genetic algorithm paradigm for automatic optimal weight selection in H∞ loop-shaping robust flexible AC transmission system damping control design. IEE Proceedings Generation Transmission and Distribution, 151 (1). pp. 109-118. ISSN 1350-2360Full text not available in this repository. (Request a copy from the Strathclyde author)
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.
|Keywords:||damping, flexible AC transmission systems, genetic algorithms, power transmission control, robust control, static VAr compensators, thyristor applications, Electrical engineering. Electronics Nuclear engineering, Electrical and Electronic Engineering|
|Subjects:||Technology > Electrical engineering. Electronics Nuclear engineering|
|Department:||Faculty of Engineering > Electronic and Electrical Engineering
|Depositing user:||Strathprints Administrator|
|Date Deposited:||23 Oct 2008|
|Last modified:||22 Mar 2017 09:38|