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The existing literature demonstrates that the multi-energy combined power-dispatching system is crucial for resolving the mismatch between the installed capacity and the power generation through renewable energy. However, our knowledge of the impact mechanism of climate policies on this system is still limited. To address this gap, cost-accounting models that consider price fluctuation based on carbon emissions trading and renewable portfolio standards in China are proposed and applied to the integrated wind–photovoltaic–thermal power-dispatching system in Xinjiang. The scenarios analysis showed that in terms of reducing emissions, carbon emissions trading is more effective in cases with a high installed proportion of renewable power, whereas renewable portfolio standards are the opposite, as they are better in two cases in terms of energy saving. The sensitivity analysis indicates that the effect of renewable portfolio standards on the penetration rate of renewable power is constant. There is some potential for the design optimization of these two policies in China, and the characteristics of the power structure should be considered. These results can help the dispatching department in evaluating the impact of carbon emissions trading and renewable portfolio standards to optimize the dispatching strategy and provide directions for policy makers to improve the design. • Explore the interaction of carbon emissions trading and renewable portfolio standards. • Build costs accounting models for climate policies based on fluctuating price. • Analyze the dual effect of the policies in different hybrid power dispatching systems. • Propose policy recommendations to promote the application of policies in China. [ABSTRACT FROM AUTHOR]

At present, vigorously developing wind power, photovoltaic and other renewable energy has become one of the effective ways to deal with carbon dioxide emissions and energy supply and demand gap. Bringing renewable energy into the optimal configuration of power supply structure and reducing carbon emissions at the root will help promote the construction of clean, low-carbon, safe and efficient modern energy system. Therefore, starting from the theory of low-carbon economy, based on the traditional power planning model, this paper considers various uncertainties, introduces social welfare theory, and proposes the optimization scheme of thermal-solar-wind power system. The model is then applied to Southern Xinjiang supporting power project to study the investment behavior of low-carbon power, and the optimal low-carbon power decision-making behavior considering social benefits based on welfare is obtained. The results show that the proposed optimal configuration scheme of hybrid power can achieve the equilibrium between economic and social benefits, improve energy utilization efficiency and provide decision-making reference for policy makers. • A multi-objective power planning optimization model considering social benefits and economic cost was proposed. • Multi-uncertainty and interactions among multiple random variables were examined. • Solutions of various scenarios and different credibility levels were analyzed. • The optimization model can achieve better economic benefits while improving energy efficiency. [ABSTRACT FROM AUTHOR]