KEYWORDS: Carbon, System integration, Systems modeling, Wind energy, Turbines, Integration, Integrated modeling, Industry, Data modeling, Control systems
The Internet of Energy and low-carbon electricity are now heavily reliant on integrated energy systems, which are capable of conserving energy and decreasing emissions. This architecture, founded on the carbon trading model, is comprised of an electric-heat-gas combined power source, comprising electric-gas and gas turbines.Firstly a step model is formed to determine the expense of carbon trading by dividing the carbon emission interval, and the dispatching model of the system is augmented with a carbon trading mechanism. Secondly, we developed a low-carbon economic planning model for electricity-heat-gas distribution systems, taking into account the costs of carbon trading and outsourced energy. An assessment of the sequencing models' outcomes, taking into consideration the system's low carbon content and economy, was conducted to evaluate the proposed model's efficacy
In this paper, a virtual power plant model considering demand side response is proposed. Considering the influence of price demand-side response on virtual power plant, an optimal scheduling control method was proposed for virtual power plant, which included demand-side response, wind power, photovoltaic, gas turbine and energy storage equipment. Firstly, a mathematical model was built with the maximum net income of virtual power plant as the objective function. Secondly, a reasonable operation strategy was designed. The demand-side response strategy was optimized based on wind-landscape output prediction. Thirdly, the gas turbine and energy storage equipment coordinated the output allocation to compensate the deviation between the actual output and the predicted output of the scenery. Finally, through the simulation analysis of the example, the results show that the consideration of the demand-side response based on price in the virtual power plant can standardize the user's electricity consumption. And the load peaking and valley filling effect is obvious. The designed operation strategy has coordinated the power distribution of various energy sources and maximized the income of the virtual power plant.
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