Multi-type Peak Shaving Resource Coordination Optimization Method Considering Carbon Emission Difference

To fully tap the operational potential of different types of peak shaving resources and solve the problem that deep peak shaving measures such as coal power increase the total carbon emissions of the power grid, a coordinated optimization method of multi-type peak shaving resources considering carbon emissions differences was proposed. The main feature of this method is to realize the coordination and optimization of peak shaving resources by analyzing the difference of carbon emissions of different peak shaving resources. According to the carbon emission change characteristics during peak shaving response, peak shaving resources are divided into two categories: low carbon emission peak shaving resources and high carbon emission peak shaving resources. A multi-type peak shaving resource coordination optimization model based on two-tier architecture is proposed, which is classified according to the above peak shaving resources. Low carbon emission peak shaving resources will be preferentially invoked in the most economical way in the upper model. The remaining peak shaving demand will be met by high carbon emission peak shaving resources. The system economy, carbon emission and other aspects are comprehensively considered in the lower model. Finally, a numerical example based on the actual data of a provincial power grid was constructed to verify the effectiveness of the proposed method. The numerical example results show that compared with the traditional peak shaving resource optimization method, the proposed method can reduce the comprehensive cost by 5% and improve the overall efficiency of power grid operation.