|
|
 |
| |
|
|
|
Power Distribution Self-Healing System Based on Intuitionistic Uncertainty-Rough Sets |
|
|
|
PP: 177-184 |
|
|
|
Author(s) |
|
|
|
Qiuye Sun,
Jing Zhang,
Yan Zhao,
Dazhong Ma,
|
|
|
|
Abstract |
|
|
| General concern and numerous studies of smart grid make it explicit that self-healing feature is an essential condition
of power system intellectualization. Existing self-healing system based on traditional intelligence algorithms can’t simultaneously
achieve satisfied effect and efficiency. To deal with the uncertainty factors and mass redundant data in the power system, rough set
theory and intuitionistic fuzzy set theory are employed in this paper. And considering the excellent function of MAS which is a
distributed and coupled network with different kinds of agents that can work together for a global goal, a multiagent self-healing
system based on intuitionistic uncertainty-rough sets is proposed in this paper. The proposed method can enhance the control accuracy
and simultaneously improve the decision-making efficiency. And the simulation result of a distribution system shows the excellent
effect. |
|
|
|
|
|
|
|
