Evaluation of risk and benefit of available transfer capability decisions for wind farms integration system

Wind power integration has made a new demand on the calculation of available transfer capability (ATC) in the power system operation. How to accurately decide ATC considering the volatility and stochastic variation of wind power as well as improve the calculation efficiency and precision has become an urgent problem to be solved. An improved method based on Reflective slice sampling (RSS) is proposed in this paper and applied to risk-based ATC decisions for wind farms integration system. The optimal modeling for probability model of wind farm outputs is firstly constructed. Then the sample space is obtained by RSS from the probabilistic model of wind farm outputs. Finally, the samples from the sample space are calculated by load flow and the statistical analysis of ATC decisions index is finished, the results of Gibbs sampling methods and RSS method are compared in IEEE30-bus system. It is shown that the proposed method can reduce the computation time and ensures its accuracy, and further improve system transmission efficiency.