Combined heat and power unit can simultaneously generate both heat and power loads,and has been widely applied.To achieve energy saving,optimizing the heat and power loads allocation of combined heat and power unit is a critical issue.Taking four units of Shengli Power Plant as the research object,the relationship and pattern of changes in the economic indicator of each unit with respect to power load,heating supply,industrial steam flow,and other related factors were studied.Additionally,a multi-unit heat and power loads allocation optimization method based on genetic algorithm was proposed.The result shows that after optimization,heat consumption is significantly reduced,greatly improving the accuracy of multi-unit heat and power loads allocation across the entire plant,and enhancing the operational economy.
Genetic AlgorithmCombined Heat and PowerLoadAllocationOptimization
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