With the introduction of China’s dual-carbon goals (carbon peak and carbon
neutrality), renewable energy has experienced rapid development in the country,
particularly wind energy, which has established a pivotal role within the new
energy sector. However, the inherent fluctuations in wind power generation pose
significant challenges to maintaining grid stability and operational
reliability. In power systems where the proportion of installed wind power
capacity has significantly increased, the allocation of flexible resources
becomes crucial. These resources help the system adapt to fluctuations in wind
power generation and load demand, avoid wind power curtailment, and reduce
costs. In addition, energy storage enhances grid flexibility and stabilizes
renewable energy, but is constrained by high costs. Therefore, optimizing energy
storage allocation and improving its economic efficiency have become urgent
issues. This study focuses on flexibility adequacy assessment and resource
allocation, proposing an optimization model that incorporates constraints from
wind power, thermal power, energy storage, and load shedding. The model aims to
identify the optimal energy storage configuration strategy to minimize
operational costs while ensuring system flexibility adequacy. The model is
constructed and simulated using MATLAB, with complex optimization problems
solved using the Gurobi solver. The research involves developing flexibility
evaluation indicators, determining the optimal energy storage capacity
configuration, and creating an economic objective function. The goal is to
minimize costs while ensuring system flexibility.