Optimized operation study of source-grid-load-storage synergistic virtual power plant participating in auxiliary service market

As a kind of flexible resource with energy storage characteristics, virtual power plant is more and more important in cooperating with the grid to reduce peaks and fill valleys, and consuming new energy, etc. However, it lacks of economy and high efficiency in the market operation, which directly leads to the lack of participation in the market, and an optimization strategy is proposed to achieve synergistic participation in the market for electric energy and auxiliary services. The proposed method firstly formulates a time-sharing market bidding strategy based on the fluctuation of spot electricity price and the characteristics of aggregated resources of virtual power plants; then establishes a multi-timescale optimization model based on dynamic planning to realize the synergistic clearing of spot trading of electric energy and auxiliary service of FM and the maximization of revenues; and finally compares the economic indexes of the single-market participation and joint optimization modes, and adopts the Shapley value method for the fair distribution of revenues among aggregated resources. Finally, by comparing the economic indexes under single market participation and joint optimization mode, and using the Shapley value method for the fair distribution of benefits among aggregated resources, the simulation results verify the effectiveness of this strategy in improving the virtual power plant market benefits, resource utilization efficiency and rationality of benefit distribution.