Control strategy for multi-objective coordinate voltage control using hierarchical genetic algorithms
Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the IEEE International Conference on Industrial Technology |
| Pages | 158-163 |
| Volume | 2005 |
| Publication status | Published - 2005 |
Publication series
| Name | |
|---|---|
| Volume | 2005 |
Conference
| Title | 2005 IEEE International Conference on Industrial Technology, ICIT 2005 |
|---|---|
| Place | Hong Kong |
| City | Hong Kong |
| Period | 14 - 17 December 2005 |
Link(s)
Abstract
Hierarchical genetic algorithm (HGA) is proposed for optimizing the power voltage control systems according to number of control actions. The advantage of HGA is its capability in control the parametric genes of chromosome. In this paper, we apply HGA to find out the optimal solution for coordinate voltage control in a simple six buses power system. The number of control actions is fixed from one to six by HGA. Because of the multi-objective classification of the obtained solutions, all these solutions could therefore form a landscape of control pattern which is aptly applicable to the control purpose of coordinate power control system. The application of the proposed paradigm is demonstrated through simulation and the results obtained suggested that the speed of voltage recovery in some degree related with the number of actions of control when emergency happened. The effective of control is influenced by the location of control devices and the system structure. © 2005 IEEE.
Research Area(s)
- Coordinate voltage control, Hierarchical genetic algorithm, Multi-objective optimization, Pareto front
Citation Format(s)
Control strategy for multi-objective coordinate voltage control using hierarchical genetic algorithms. / Ma, H. M.; Man, K. F.; Hill, D. J.
Proceedings of the IEEE International Conference on Industrial Technology. Vol. 2005 2005. p. 158-163 1600628.Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review
