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 language | English |
---|---|
Pages (from-to) | 109-118 |
Number of pages | 9 |
Journal | IEE Proceedings Generation Transmission and Distribution |
Volume | 151 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2004 |
Keywords
- damping
- flexible AC transmission systems
- genetic algorithms
- power transmission control
- robust control
- static VAr compensators
- thyristor applications