Quantitative assessment and optimization strategy of flexibility supply and demand based on renewable energy high-penetration power system

Abstract

With the transformation of the global energy structure, the high penetration rate of renewable energy in power systems has become a trend. This article focuses on the quantitative evaluation and optimization strategies for the flexible supply and demand of renewable energy high-p penetration power systems. Using a combination of data-driven and model simulation methods, the flexibility requirements of the power system after integrating renewable energy are accurately quantified. The impact of uncertainty in renewable energy output on system flexibility was evaluated through system flexibility analysis and scenario construction techniques, and effective flexibility improvement strategies were proposed in combination with optimized scheduling design. The research results show that under high penetration of renewable energy, there is an imbalance between the supply and demand of flexibility in the power system. When the proportion of renewable energy installed capacity reaches 40%, the system flexibility gap reaches 10%. A comprehensive optimization strategy has been proposed to address this issue, including constructing energy storage facilities, demand side response, and virtual power plants. After implementing these measures, the flexibility gap of the system can be reduced to less than 5%, which can effectively ensure the stable operation of the power system.