Operation Optimization of Combined Heat and Power Units Based on Energy Consumption, Economy and Carbon Emission

A multi-objective optimization model for combined heat and power units is established to address the problem of difficulty in balancing energy consumption, economy and low carbon in the operation of the combined heat and power units. Firstly, combining with the power peaking auxiliary market and carbon emission trading market, and taking the efficiency, profit and carbon emission rate as the objective functions, the multi-objective particle swarm algorithm is used to find the best power generation power considering the constraints related to the unit operation. Then, the multi-objective decision making is performed by using the information entropy weight method combined with the technique for order preference by similarity to an ideal solution. Finally, it is verified by the unit simulation model. The results show that the optimized optimal power generation is 115.1, 89.5 and 89.1 MW for 20, 100 and 180 t/h steam supply, respectively, and the optimized operation scheme significantly reduces the carbon emission and takes into account the energy consumption, economy and low carbon performance of the unit.