Optimal Scheduling Strategy of Virtual Power Plant with Carbon Emission and Carbon Penalty Considering Uncertainty of Wind Power and Photovoltaic Power
To better meet the development needs of China's new power system,an optimal scheduling strategy of virtual power plant(VPP)with carbon emission and carbon penalty considering the uncertainty of wind power and photovoltaic power is proposed.The mathematical description of photovoltaic(PV),wind turbine(WT),combined heat and power(CHP)unit and energy storage system(ESS)is carried out,and a wind-solar output model considering the uncertainty is established.The scenario generation and reduction method is used to generate the typical scenario.To maximize the overall operation benefit of VPP,considering carbon emission cost and carbon penalty,an optimal scheduling model of VPP in typical scenario is established.Example results show that the proposed strategy is conducive to tapping the potential of ESS,improving the system economy and reducing the carbon emission.The example built on CloudPSS simulation platform further verifies the effectiveness of the strategy.It provides a feasible way for the subsequent optimization scheduling of virtual power plants.
virtual power plantoptimal schedulinguncertaintyscenario generation and reductionCloudPSS
万方数据
维普
