DocumentCode
2431572
Title
Study on Two Dynamic Aggregation Algorithms of Coherent Generators
Author
Zhang, Baozhen ; Zhang, Yao ; Lin, Lingxue ; Liu, Peipei
Author_Institution
Sch. of Mech. & Electr. Eng., Hainan Univ., Haikou, China
fYear
2012
fDate
3-5 Nov. 2012
Firstpage
676
Lastpage
680
Abstract
Dynamic aggregation of coherent generators is the main step in constructing dynamic equivalent model of power systems. In this paper two typical algorithms of coherent generators dynamic aggregation are reviewed briefly, the first model is traditional frequency domain algorithm, namely the generator terminal bus aggregation algorithm which uses the iterative process in frequency domain to derive the parameters of equivalent generator, the second model is weighted-average algorithm based on engineering, the approach frequency domain is more complicated so that it is considerable calculation and time consuming than the weighted-average method when two models are applied to large-scale power systems. For validation purpose, two models are tested on IEEE-39 bus system and the simulation results indicate that two equivalent system models can preserve the main dynamic characteristics of the original system well, on the other hand, the frequency domain model is an accuracy model so that it is suitable for precise analysis to power systems, the weighted average model is more deviation than the frequency domain model so that it is used to practical engineering.
Keywords
electric generators; frequency-domain analysis; iterative methods; power system interconnection; power system simulation; IEEE-39 bus system; coherent generators dynamic aggregation algorithm; dynamic characteristics; equivalent generator parameters; frequency domain model; generator terminal bus aggregation algorithm; iterative process; large-scale power systems; power system dynamic equivalent model; weighted-average algorithm; Frequency domain analysis; Generators; Heuristic algorithms; Power system dynamics; Power system stability; Transient analysis; coherency equivalence; dynamic aggregation; dynamic equivalence; power system; weighted-average;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Communication Networks (CICN), 2012 Fourth International Conference on
Conference_Location
Mathura
Print_ISBN
978-1-4673-2981-1
Type
conf
DOI
10.1109/CICN.2012.191
Filename
6375198
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