Abstract
Virtual power plants can aggregate the distributed energy on the power generation side to improve the consumption degree of renewable energy. Given the unpredictability of renewable energy generation and the lack of cost competitiveness, virtual power plants often abandon wind and light in the process of operation. The economic benefits of a virtual power plant scheduling model under the carbon trading mechanism and electricity consumption behavior is established, so that renewable energy can participate in the carbon trading, and promote coordination between the user side and the power generation side. According to the bilayer, nonlinear and semi-continuity, a reconstruction method that integrated linear approximation, KKT condition and perspective transformation theory is transformed into a single-layer integer second-order cone model. The example shows that promoting the consumption of renewable energy can help improve the emission reduction benefits of virtual power plants. At the same time, the carbon trading mechanism has the ability to improve the total consumption of renewable energy, the response of users has the ability to improve the distribution of wind energy utilization, and the use of appropriate electricity price mechanism can further play the synergistic benefits between the two.
Published Version
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