Stochastic stability analysis of the power system incorporating wind power using measurement wind data
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Author list: Parinya P., Sangswang A., Kirtikara K., Chenvidhya D.
Publisher: Korean Institute of Electrical Engineers
Publication year: 2018
Volume number: 13
Issue number: 3
Start page: 1110
End page: 1122
Number of pages: 13
ISSN: 1975-0102
eISSN: 1975-0102
Languages: English-Great Britain (EN-GB)
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Abstract
This paper proposes an alternative method to evaluate the effect of wind power to the power system stability with small disturbance. Alternatively, available techniques for stability analysis of a power system based on deterministic methods are less accurate for high penetration of wind power. Numerical simulations of random behaviors are computationally expensive. A stochastic stability index (SSI) is proposed for the power system stability evaluation based on the theory of stochastic stability and energy function, specifically the stochastic derivative of the relative well-defined energy function and the critical energy. The SSI is implemented on the modified nine-bus system including wind turbines under different conditions. A doubly-fed induction generator (DFIG) wind turbine is characterized and modeled using measured wind data from several sites in Thailand. Each of the obtained wind power data is analyzed. The wind power effect is modeled considering the aggregated effect of wind turbines. With the proposed method, the system behavior is properly predicted and the stability is quantitatively evaluated with less computational effort compared with conventional numerical simulation methods. ฉ The Korean Institute of Electrical Engineers.
Keywords
Aggregated effect, Doubly-fed induction generator wind turbine, Geographically distributed wind turbines, Numerical simulation method, Power system stability, Small disturbance, Stochastic stability analysis, Well-defined energy function
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