The Synergistic Scheduling Optimization Model for Wind Power and Thermal Power with Energy Storage System Under the Carbon Emission Trade

In order to alleviate the effect of randomness and intermittent of wind power output on safe and stable operation of the power grid and improve system consumptive wind power capacity, the paper introduce carbon emissions trading and energy storage systems to construct the collaborative scheduling optimization model of wind power and energy storage system based on the energy generation scheduling optimization model of wind power and thermal power. Then, 10 thermal power and 2800MW wind farms constitute simulation systems to analyze the impact of carbon trading and energy storage systems on system wind power consumptive capacity. Numerical example shows: The introduction of carbon trading can increase wind power capacity and reduce coal consumption systems; the introduction of the energy storage system can gentle wind power output, suppress power fluctuations; While, system optimization results achieve the best when carbon trading and energy storage systems are introduced at the same time.