Energy Sharing Market With Dual Time Scale Coordination Considering New Energy Uncertainties and Competition Among Stakeholders

With the integration of massive distributed energy resources (DER) into the distribution network, establishing a sound electricity market trading system that attracts prosumer participation to attain local supply-demand balance is an urgent issue. This paper proposes a hierarchical architecture in which virtual power plants (VPPs) act as the primary participants to tackle this challenge. At the upper tier, to achieve the dayahead market (DAM) between VPPs with complex relationships, a cloud-edge collaboration based market clearing scheme and a strategy formulation method for prosumers incorporating multiple game scenarios and time advancement is constructed, which can be solved by different game theories. At the lower tier, to mitigate the issues arising from discrepancies between actual and forecasted new energy generation for the delivery of power traded in the DAM, a distributed intraday market (IM) is organized for specific VPPs without relying on the grid corporation (GC). In general, compared with the benchmark methods, the proposed DAM system can effectively improve the revenues of sellers, while the profits of buyers and the GC are reduced to a certain extent but within an acceptable range. And the electricity interactions between VPPs and the GC in the DAM are significantly reduced. Compared with the proposed DAM combined with the GC–controlled IM structure, the proposed DAM integrated with the distributed IM structure shows decent improvements in autonomous power trading completion, participants revenue affected by new energy uncertainty and the local consumption of new energy.