基于能耗、经济性及碳排放的热电联产机组运行优化

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

针对热电联产机组运行过程中难以兼顾能耗、经济性和低碳性的问题,建立了热电联产机组多目标优化模型。首先,结合电力调峰辅助市场和碳排放权交易市场,以(火用)效率、利润和碳排放率为目标函数,考虑机组运行的相关约束,利用多目标粒子群算法对发电功率进行寻优。接着,利用信息熵权法结合逼近理想解的排序方法进行多目标决策。最后,通过机组仿真模型进行验证。结果表明:供汽量为20、100和180 t/h工况下,优化后的最佳发电功率分别为115.1、89.5和89.1 MW。优化后的运行方案大幅降低了碳排放,兼顾了机组的能耗、经济性和低碳性。

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.