Abstract:

To enhance the operational stability and low-carbon performance of virtual power plants (VPPs) with high shares of renewable energy,a coordinated dispatch model integrating concentrated solar power (CSP) plants with power-to-gas (P2G) and carbon capture is developed. An optimal VPP scheduling strategy is proposed, combining a stepped carbon trading mechanism with a compensation coefficient and dynamic hydrogen blending. To address multi-source uncertainties in wind power, CSP power, and loads, an envelope boundary model is used for simulation. Information gap decision theory (IGDT) is applied to provide customized solutions for decision-makers with different risk preferences. A bi-objective optimization model is established to minimize total operating cost and carbon emissions. A coordinated strategy integrating min-max normalization and linear weighted summation is introduced to address differences in scale and conflicts between the objectives. A solver is employed to conduct multi-scenario comparative analyses. Simulation results show that the proposed strategy effectively reduces total system cost and carbon emissions while improving adaptability to uncertainties, providing a new approach to low-carbon economic dispatch of VPPs.

Key words: virtual power plant, hydrogen-blended gas-fired unit, stepped carbon trading, information gap decision theory, uncertainty