Dynamic Virtual Power Plants With Frequency Regulation Capacity

For integrating heterogeneous distributed energy resources to provide fast frequency regulation, this paper proposes a dynamic virtual power plant~(DVPP) with frequency regulation capacity. A parameter anonymity-based approach is established for DVPP aggregating small-scaled inverter-based resources~(IBRs) with privacy concerns. On this basis, a parameter-to-performance mapping is formulated to evaluate how control coefficients impact the DVPP-level power overshoot as well as the IBR-level costs. The objective is to design the best way to provide the frequency response with minimal impacts on grid and the most financial gains. Numerical experiments illustrate the effectiveness of the proposed approach and further analysis validates that our models are able to take dead bands into consideration.