Economic operation optimization of large CCHP systems considering carbon tax

Constructs an economic operation model considering carbon tax for large CCHP systems. Analyses a large CCHP system in Shanghai by using the improved particle swarm optimization algorithm, obtains optimal operation strategies under the design load of typical days in summer and winter respectively, and gains the impact of carbon tax changes on its economy and carbon emissions. The results show that due to the impact of carbon tax prices, peak-valley electricity prices and natural gas prices in summer, the CCHP system needs to adjust the operation strategy according to price changes to achieve optimal economic operation, but the existing control system is difficult to achieve. The carbon tax is a key factor in determining the profitability and carbon emissions of operators. Under the current energy price system in China, when the carbon tax is about 20 $/t, it can significantly reduce carbon emissions and ensure that enterprises have considerable profitability. The increase of carbon tax prices in winter will significantly reduce the profitability of energy supply enterprises, but basically can not reduce the carbon emission of the CCHP system.