Probabilistic Power Flow Considering Static Characteristics of Power System with Large-Scale Offshore Wind Power

Offshore wind power is the frontier field of renewable energy development. The realization of large-scale offshore wind power (LSOWP) integration and high-efficiency consumption is conducive to improving wind power utilization efficiency and investment benefits in power industry. Firstly, Nataf transformation is utilized to generate samples of Pearson correlated offshore wind speed which obey two-parameter Weibull distribution. Besides, the power of conventional generators and loads are presented with their static characteristics. Then, an unified extended power flow model including system frequency is established. Finally, the proposed method has been tested on modified IEEE 39-bus system. Monte Carlo method is utilized to analyze the impact arisen from LSOWP integration on system operation status under multi-scenarios. And this paper mainly focuses on the distribution of steady-state frequency and branch MW flows.