Bidding Strategy of Virtual Power Plant Considering Multi-Energy Storage and CSD

Virtual Power Plant (VPP) was developed to integrate distributed energy resources (DERs), multi-energy storage and controllable load into the grid in order that they are seen as a single power plant in the market and power system operator. VPP may maximize its revenue through optimal scheduling of DERs by providing both energy and Auxiliary Service(AS). In this paper, first of all, a novel bidding strategy of VPP is proposed by considering the multi-energy storage and different Customers Satisfaction Degrees (CSDs). Furthermore, by aggregating and coordinating various DERs, including wind turbines (WTs), photovoltaic panels (PVs), micro-turbines (MTs), energy storage systems (ESSs) and electric vehicles (EVs), the VPP is able to strategically allocate the capacities for energy, reserve and regulation. In addition, in order to stimulate the initiative of EV participating in market, satisfaction degree is used to measure the revenue can be obtained. Finally, VPP different bidding strategy with various DERs under different satisfaction is validated by the studies case.