NDLI: Study on decomposition and coordination methods for voltage stability assessment of large interconnected power system

Content Provider	IEEE Xplore Digital Library
Author	Zhao, J. Shi, F. Chen, G.
Copyright Year	2009
Description	Author affiliation: Department of Electrical Engineering, Hohai University, Nanjing, 210098, China (Zhao, J.; Shi, F.) \|\| Yixing Power Company, Yixing, Jiangsu, 214200 (Chen, G.)
Abstract	It is imperative to accurately consider the effect of external network on internal system's voltage stability for Online voltage stability assessment of a subsystem within a large interconnected power grid. Since the heaviest load condition of a system and a set of credible severe contingencies have to be considered in VSA, traditional network equivalent with respect to a snapshot case cannot meet the requirements. Two different distributed computation modes are proposed to exactly consider the effects of external networks. They are the synchronous iteration (SI) mode and the asynchronous iteration (AI) mode. The continuation power flow methods under both SI and AI mode are developed to calculate the load margins. The numerical results of IEEE118 bus power system indicate that the decomposition and coordination methods can get the better results comparing to the local equivalence methods.
Starting Page	1
Ending Page	6
File Size	246513
Page Count	6
File Format	PDF
ISBN	9781424449347
DOI	10.1109/SUPERGEN.2009.5347880
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-04-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Asynchronous Iteration Mode Synchronous Iteration Mode Power system stability Power grids Distributed computing Power system modeling Load flow Distributed Computation Power system interconnection Voltage Grid computing Continuation Power Flow Computer networks Artificial intelligence Voltage Stability Assessment
Content Type	Text
Resource Type	Article

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