Abstract

In the context of resource shortages and the nature of power consumption on the user side gradually developing from the electrical energy consumer to the energy prosumer, this paper takes the virtual prosumer aggregator (VPA) as the main body and aggregates various distributed resources. An optimal scheduling model is established for the VPA that participates in joint energy and spinning reserve markets. The air conditioning system, gas turbine, energy storage power station, photovoltaic power station, and interruptible load, and distributes profits are considered as aggregated units of the VPA based on the member-cooperative relationship. For addressing the photovoltaic power plant output uncertainty, the robust optimization method is used to reduce the risk, and thereby increasing the actual profit of VPA. The example simulation verifies that the proposed method can effectively increase the profit of VPA in energy and reserve markets, and ensure fair and reasonable profit assignments. Meanwhile, the robust optimization model can also increase the actual profit of VPA.

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