Optimal Energy Management of a Virtual Power Plant Considering Its Participation in Electricity and Carbon Allowance Trading

In order to promote the consumption of renewable energy under electricity market mechanism in the process of achieving decarbonization, a virtual power plant (VPP) integrating distributed wind and photovoltaic generators, other dispatchable generation resources, controllable loads and energy storage systems is examined in this work, and an optimal dispatching model of the VPP considering its joint participation in electricity market and carbon allowrance trading market as a whole is presented. Firstly, in order to obtain the sources-load typical scenarios of the power system in a whole year, sources-load curves using variable copula model is constructed. At the same time, taking into account proposed cluster validity index, the generated scenarios are reduced effectively, and a representative day set is obtained, which can depict and represent extreme scenarios well. Secondly, an optimal VPP dispatching model based on representative day set is established to minimize the operating cost, comprehensively considering electricity and carbon allowance trading. Finally, cases studies including deterministic and stochastic optimization are conducted to verify the effectiveness of the proposed model and analyze the impact of multiple uncertainties, which is of guiding significance for the optimal scheduling of VPP systems in the future.