Flexible Resources Allocation in High-Penetration Renewable Energy System Based on Stochastic Programming

Renewable energy brings uncertainty in power system. In recent years, the proportion of renewable energy has gradually increased, which reduces traditional thermal reserve and flexibility in power system. Flexible resources are high-quality reserve resources, but it takes cost to transform general load resources into flexible resources. In this paper, a flexibility resources allocation method is proposed based on stochastic programming. Firstly, stochastic programming method based on multi-scenarios modelling is introduced. Then, a flexible resource allocation model based on stochastic programming is built to improve the reserve in power system. Finally, the effectiveness is verified by IEEE 30 bus system.