| Abstract: |
| Wind speed follows the Weibull probability distribution and wind power can have a significant influence on power system
voltage stability. In order to research the influence of wind plant correlation on power system voltage stability, in this paper,
the stochastic response surface method (SRSM) is applied to voltage stability analysis to establish the polynomial relationship
between the random input and the output response. The Kendall rank correlation coefficient is selected to measure the
correlation between wind farms, and the joint probability distribution of wind farms is calculated by Copula function. A
dynamic system that includes system node voltages is established. The composite matrix spectral radius of the dynamic
system is used as the output of the SRSM, whereas the wind speed is used as the input based on wind farm correlation. The
proposed method is compared with the traditional Monte Carlo (MC) method, and the effectiveness and accuracy of the
proposed approach is verified using the IEEE 24-bus system and the EPRI 36-bus system. The simulation results also indicate
that the consideration of wind farm correlation can more accurately reflect the system stability. |
| Key words: Power system, SRSM, Correlation, Wind farm |
| DOI：10.1186/s41601-017-0051-3 |
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| Fund: |
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