A two-stage optimal allocation model of flexible resources considering bidirectional regulation capability
LI Han
SHI Yiwen
SUN Qi
SHI Liguo
GONG Weishuai
Abstract：To address the challenges of output fluctuations and uncertainty arising from high penetration of renewable energy in power systems,this paper proposes a two-stage optimization allocation model for flexible resources that incorporates bidirectional regulation capabilities.First,the interval method is employed to quantify net load forecast errors,thereby characterizing the system's flexibility requirements.Building upon this foundation,a regulation capacity quantification model is developed encompassing multiple resource types,including thermal power units,solar thermal power stations,pumped storage,hydrogen storage,and electrochemical storage.Subsequently,a two-stage optimization framework is established:Stage 1 allocates resources with high regulation depth and long duration at the hourly timescale to meet long-term peak shaving demands;Stage 2 deploys fast-response resources at the 15-minute timescale to address real-time fluctuations in renewable generation and load,while ensuring system regulation capability across multiple timescales via a flexibility coverage index.Simulation results based on the IEEE 9-node system demonstrate that compared to single-type energy storage configurations,the proposed multi-type flexibility resource coordination planning method significantly enhances economic efficiency while ensuring system reliability.This provides an effective solution for flexible resource allocation in high-penetration renewable energy power systems.
Keywords：flexible resourcestwo-way regulationresource allocationtwo-stage optimizationuncertainty
Publication Date：2025-11-28
Online Publishing Date：2025-12-18(First online date of this platform, not the publication date of the document)
Pages：9( 72-80 )