Fast emergency control strategy calculation based on dynamic equivalence and integral sensitivity

To simplify the transient stability analysis of a large-scale power system and realize real-time emergency control, a fast transient stability simulation algorithm based on real-time dynamic equivalence is proposed. Generator models are grouped and aggregated according to a fast numerical integratio...

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Bibliographic Details
Published in:Frontiers of information technology & electronic engineering 2019-08, Vol.20 (8), p.1119-1132
Main Authors: Gao, Yi-fan, Wang, Jian-quan, Xiao, Tan-nan, Jiang, Dao-zhuo
Format: Article
Language:English
Subjects:
Algorithms
Codes
Communications Engineering
Computer Hardware
Computer Science
Computer Systems Organization and Communication Networks
Control systems
Dynamic stability
Electrical Engineering
Electronics and Microelectronics
Equivalence
Instrumentation
Networks
Numerical integration
Real time
Simulation
Stability analysis
Transient stability
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Summary:To simplify the transient stability analysis of a large-scale power system and realize real-time emergency control, a fast transient stability simulation algorithm based on real-time dynamic equivalence is proposed. Generator models are grouped and aggregated according to a fast numerical integration. A fast calculation method of the admittance matrix is then proposed to calculate the parameters of an equivalent system, and numerical integration is performed using the obtained equivalent system. Then, based on integral sensitivity, a new fast emergency control strategy is proposed for the equivalent system. The final emergency control strategy is obtained by mapping the control strategy for the equivalent system back to the original system. The results of a simulation on an East China Power System that includes 496 generators and 5075 buses show that the suggested algorithm can output an accurate transient stability simulation result and form an effective emergency control strategy. The proposed algorithm is much faster than the existing solutions and has the potential to be used for online pre-decision.
ISSN:2095-9184
2095-9230
DOI:10.1631/FITEE.1700389