ABSTRACT Virtual power plants (VPP) can enhance power grid stability by aggregating distributed energy resources (DERs) to provide ancillary frequency regulation services. During this process, VPP tracks power regulation command (PRC) and optimally achieves generation command dispatch (GCD) among internal DERs. To overcome the limitations of conventional GCD methods in robustness, accuracy, and computational efficiency, this paper presents an improved decentralised GCD method considering acceleration and communication noise. This method integrates line capacity constraints using a linearised power flow model to avoid overloading the lines. Based on the model, an improved exact diffusion algorithm (EDA) is introduced with the acceleration based on the Nesterov accelerated gradient (NAG) and communication noise suppression using the gain function. Simulations on the IEEE 33‐bus system and a real‐world VPP in a province of China demonstrate that the proposed algorithm achieves at least 3 times faster convergence than other consistency algorithms. Compared with six mainstream methods, the proposed method improves the frequency regulation performance of VPP by 1.00% to 64.69%, while reducing operational costs by 0.46% to 5.20%. Meanwhile, under different noise situations, the noise suppression capacity is verified, and the optimal parameter selections are presented.
Yuan et al. (Thu,) studied this question.