Optimization Scheduling Strategy for Low-carbon Economy Considering Flexible Loads and Tiered Carbon Trading
In order to improve the utilization efficiency of renewable energy,promote wind and solar energy consumption,and reduce carbon emissions,this paper constructs a low-carbon economic optimization scheduling model that considers flexible loads and tiered carbon trading.By incorporating flexible loads into the system scheduling plan and regulating flexible loads through compensating the power shortages caused by uncertainty in wind and solar power output,the system's absorption of wind and solar power is further promoted.Taking the minimum comprehensive operating cost of the system as the objective function and introducing a tiered carbon trading mechanism,the low-carbon economic operation of the system is achieved.It used the Yalmip toolbox and Cplex solver to solve the model,and sets up three scenarios to compare and analyze the effectiveness of this proposed optimization scheduling strategy.The simulation results of the example show that the scheduling model can balance safety,economy,and low-carbon,significantly reducing the amount of wind and light waste in the system and the peak to valley load difference.
flexible loadtiered carbon tradingwind and solar absorptionlow-carbonoptimal scheduling
万方数据
维普
