Optimized scheduling of virtual plants with bio gas and electrohydric alcohol based on stepped carbon transactions

Abstract

In order to reduce carbon emissions and promote clean energy development and utilization, a virtual plant optimization scheduling strategy for bio gas coupled to methanol synthesis units based on a stepped carbon transaction mechanism is proposed. This strategy is based on the transportation cost of hydrogen energy storage and the reality that methanol is widely used in the industry, to construct a second-order variable pressure adsorptive bio gas and electro alcohols linked production model, to extract high purity natural gas and CO2, and to couple the methanol synthesis unit with the bio gas equipment, while introducing a stepped carbon trading mechanism to realize CO2 recycling and wind with the lowest running cost in a virtual power plant Efficient dissipation of photogenerated electrical energy. Finally, by setting up different scenarios and conducting computational validation, the analytical results confirm that the proposed model strategy can meet the demands of low carbon and economy in virtual power plants.