On-line static voltage security risk assessment based on Markov chain model and SVM for wind integrated power system

With the increase of wind power penetration rate, the effect of large-scale wind power influence on static voltage security of power grid is gradually significant. The fluctuation of wind power output will lead to the possibility of voltage instability. To deal with static voltage security risk caused by wind power, this paper proposes an online assessment method. Firstly, the relationship between security limitation and power flow status is trained offline through GA-SVM from continuation power flow (CPF) sample. Secondly, wind power probabilistic forecasting carry out online through fluctuation variation Markov Chain model. Finally, static voltage security risk is assessed online by calculating operation status probability and distance to security limitation. The validity of proposed method is proved by IEEE 9 bus system.

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