Low Carbon Scheduling of Thermal Power Unit Thermal Storage Capacity Based on Particle Swarm Optimization

At present, the traditional low carbon scheduling method of thermal power unit thermal storage capacity realizes the scheduling of thermal storage capacity by establishing a thermal power coordination model. Due to the lack of analysis on the operation characteristics of thermal power units, the scheduling effect is poor and the carbon emission cost is high. Therefore, a low carbon scheduling method for thermal power unit storage capacity based on particle swarm optimization algorithm is proposed. The operation characteristics of thermal power unit are analyzed, and the pressure parameters, capacity level and fuel type of the unit are divided by the baseline. Different carbon emission allowances are allocated to the units, and the operation mechanism of the heat storage device is optimized. The low carbon scheduling model of thermal power unit thermal storage capacity is constructed and solved by using particle swarm optimization algorithm. The experimental analysis shows that the proposed low carbon scheduling method for thermal power units has good scheduling performance.