Abstract
As the “heart” of power system, synchronous generator’s accurate model parameters are the basis of power system simulation, operation analysis and fault diagnosis. These parameters also have a very important impact on the operation analysis of power grid. This paper introduces the mathematical model of the sixth-order synchronous generator and establishes the incremental model for its identification. The methods of grey box modeling and nonlinear least square are used to identify the parameters of the sixth-order synchronous generator. When a single - phase short - circuit fault occurs in the power system, the response data of the generator is simulated in the PSASP software. When a program for synchronous machine parameter identification is written, the result will verify the validity of this approach.
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Acknowledgment
This work is supported by the National Science Foundation of China under Grant (51677057), Local University Support plan for R & D, Cultivation and Transformation of Scientific and Technological Achievements by Heilongjiang Educational Commission (TSTAU-R2018005) and Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education (MPSS2019-05).
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© 2020 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Xu, X., Su, X., Zhang, D., An, P., Sun, J. (2020). Parameter Identification of Six-Order Synchronous Motor Model Based on Grey Box Modeling. In: Jiang, X., Li, P. (eds) Green Energy and Networking. GreeNets 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 333. Springer, Cham. https://doi.org/10.1007/978-3-030-62483-5_6
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DOI: https://doi.org/10.1007/978-3-030-62483-5_6
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