DocumentCode
570484
Title
Study on self-healing control strategy of smart distribution network
Author
Liu, Li ; Zhao, Xuan
Author_Institution
Dept. of Electr. Eng., Shenyang Inst. of Eng., Shenyang, China
fYear
2012
fDate
21-24 May 2012
Firstpage
1
Lastpage
3
Abstract
Self-healing is the most important characteristic of smart grid, and its content including two parts: self-adjustment at normal state and self-restoration at breakdown state. In distribution network, the objective of self-healing control is supply users ceaseless electric power. The paper proposes a rapid heuristic restoration algorithm to achieve the process from breakdown state to normal state. Combined with the mathematical model of breakdown state restoration of the power distribution network, make the process into five parts including self-support feeder restoration, whole area restoration, partition restoration, transfer load by lower level feeder and cut load, and get the suitable feasible solution set of power supply restoration. Find the optimal from the solution set with fuzzy comprehensive evaluation theory, and prove the validity of algorithm by example.
Keywords
electric breakdown; fuzzy set theory; mathematical analysis; power distribution control; power system restoration; smart power grids; breakdown self-restoration state; cut load; fuzzy comprehensive evaluation theory; load transferring; lower level feeder; mathematical model; normal self-adjustment state; partition restoration; power supply restoration; rapid heuristic restoration algorithm; self-healing control strategy; self-support feeder restoration; smart distribution network; smart grid; whole area restoration; Electric breakdown; Heuristic algorithms; Mathematical model; Partitioning algorithms; Power supplies; Switches; breakdown restoration; fuzzy evaluation; heuristic search; self-healing; smart distribution network;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovative Smart Grid Technologies - Asia (ISGT Asia), 2012 IEEE
Conference_Location
Tianjin
Print_ISBN
978-1-4673-1221-9
Type
conf
DOI
10.1109/ISGT-Asia.2012.6303311
Filename
6303311
Link To Document