Assessment of Renewable Energy Accommodation Capability Based on Typical Scenario Construction

With the rapid growth of renewable energy generation, curtailment condition of wind and photovoltaic power has grown significantly and become a serious problem. In this context, this paper proposes a new method to evaluate renewable power accommodation capability based on typical scenario construction. Improved FCM clustering algorithm is used to screen raw photovoltaic and wind power generation data and construct different generation scene to improving the accuracy and efficiency of computation. The renewable energy accommodation capabilities of different typical scenarios were assessed in this paper. Taking province in east China as an example, renewable power accommodation capabilities of typical scenarios in 2018 are assessed. The simulation results show that the optimization method based on typical scenario construction can promote the efficiency and validity of renewable energy accommodation capability assessment.