In view of the collaborative optimization and control of various kinds of energy in the Energy Internet

a collaborative optimal control strategy is proposed to realize large-scale utilization of distributed renewable energy. The dynamic multi-agent coordination framework for the regional Energy Internet is designed. The upper scheduling aims at minimizing the integrated cost and optimizes the day-ahead scheduling of primary energy to realize energy economy and safe and stable operation of the multi-energy main network. The two-level control strategy based on the consistency theory is utilized to realize the precise control of the active power and the tie-line power of distributed generators in the security domain of voltage and frequency. Also

the influence of communication delay is discussed. Finally

the simulation verifies the effectiveness of the proposed strategy.