DocumentCode
2314883
Title
A New Coherency-based Dynamic Equivalence Algorithm with Complex Network Theory
Author
Xiang-ping, Ni ; Sheng-wei, Mei
Author_Institution
Dept. of Electr. Eng., Tsinghua Univ., Beijing
fYear
2008
fDate
12-15 Oct. 2008
Firstpage
1
Lastpage
6
Abstract
A new coherency-based dynamic equivalence algorithm is proposed in this paper based on the complex network theory. Firstly, the Laplace matrix is constructed for dynamic power grid, which is symmetrical and similar with the state matrix. Based on the Laplace matrix, the power grid is divided into two districts with the help of the spectral bisection method. The district, which contains the generator with least synchronizing weaken index, is chosen as the study district, while the other one is taken as the external district. Furthermore, the external district is separated into several equivalent areas taking advantage of aggregation method and modularity index. The simulation results on IEEE-39 bus system show that, the study district is distinguished automatically from the system, and the optimal division scheme is determined for external district with little computation.
Keywords
electric generators; matrix algebra; power grids; IEEE-39 bus system; aggregation method; coherency-based dynamic equivalence algorithm; complex network theory; dynamic power grid; external district; generator; laplace matrix; least synchronizing weaken index; modularity index; optimal division scheme; spectral bisection method; state matrix; study district; Complex networks; Computational efficiency; Computational modeling; Heuristic algorithms; Power grids; Power markets; Power system dynamics; Power system stability; Power transmission; Symmetric matrices; coherency-based dynamic equivalence; complex network theory; modularity index; spectral bisection method;
fLanguage
English
Publisher
ieee
Conference_Titel
Power System Technology and IEEE Power India Conference, 2008. POWERCON 2008. Joint International Conference on
Conference_Location
New Delhi
Print_ISBN
978-1-4244-1763-6
Electronic_ISBN
978-1-4244-1762-9
Type
conf
DOI
10.1109/ICPST.2008.4745313
Filename
4745313
Link To Document