Abstract: Distributed algorithms have shown great potential in solving control problems for large-scale systems. This paper extends the leader-follower incremental cost consensus algorithms (ICC) to a leaderless distributed scheduling optimization algorithm. The proposed leaderless incremental cost consensus (LICC) algorithm can continuously track the system's load difference and schedule generators without a leader. Furthermore, this paper establishes a distributed economic dispatch model for virtual power plants and combines it with consensus algorithms. A dynamic model based on the IEEE 14 node system is implemented in Matlab/Simulink and RT-LAB to verify the feasibility of the algorithm. The system includes generators and virtual power plants, equipped with frequency control and voltage regulation functions. The effectiveness of the proposed LICC algorithm is demonstrated on a real-time power system simulation emulator.