Differential evolution based total transfer capability assessment with optimal dispatch

Cao, G., Dong, Z. Y. and Wong, K. P. (2006). Differential evolution based total transfer capability assessment with optimal dispatch. In: C.M. Mak and K.P. Wong, Proceedings of the 7th International Conference on Advances in Power System Control, Operation and Management. 7th International Conference on Advances in Power System Control, Operation and Management, Hong Kong, (). 30 October - 2 November, 2006. doi:10.1049/cp:20062242


Author Cao, G.
Dong, Z. Y.
Wong, K. P.
Title of paper Differential evolution based total transfer capability assessment with optimal dispatch
Conference name 7th International Conference on Advances in Power System Control, Operation and Management
Conference location Hong Kong
Conference dates 30 October - 2 November, 2006
Proceedings title Proceedings of the 7th International Conference on Advances in Power System Control, Operation and Management
Place of Publication Hong Kong
Publisher The Institution of Engineering and Technology Hong Kong
Publication Year 2006
Sub-type Fully published paper
DOI 10.1049/cp:20062242
ISBN 0863412467
9780863412462
Editor C.M. Mak
K.P. Wong
Volume 523 CP
Issue 523 CP
Total pages 7
Collection year 2006
Abstract/Summary In this paper, a new differential evolution (DE) based power system optimal available transfer capability (ATC) assessment is presented. Power system total transfer capability (TTC) is traditionally solved by the repeated power flow (RPF) method and the continuation power flow (CPF) method. These methods are based on the assumption that the productions of the source area generators are increased in identical proportion to balance the load increment in the sink area. A new approach based on DE algorithm to generate optimal dispatch both in source area generators and sink area loads is proposed in this paper. This new method can compute ATC between two areas with significant improvement in accuracy compared with the traditional RPF and CPF based methods. A case study using a 30 bus system is given to verify the efficiency and effectiveness of this new DE based ATC optimization approach.
Subjects E1
290901 Electrical Engineering
669900 Other
Q-Index Code E1
Institutional Status UQ

 
Versions
Version Filter Type
Citation counts: Scopus Citation Count Cited 0 times in Scopus Article
Google Scholar Search Google Scholar
Created: Thu, 23 Aug 2007, 22:20:36 EST