基于遗传算法的燃气分布式能源系统负荷优化分配

Distribution of load optimization of gas distributed energy system based on genetic algorithm

为了提高燃气分布式能源系统运行的经济性,提出了一种基于遗传算法的负荷优化分配模型。通过建立准确的机组特性曲线模型和智能负荷分配模型,合理分配各机组负荷,使得分布式能源站的利润最大化。采用该负荷优化分配模型对上海某校园燃气分布式能源站的负荷分配方式进行了优化,优化结果表明,该模型能够大幅提高机组的综合效率和能源站综合毛利润。

In order to improve the efficiency of gas distributed energy system operation,a load optimal allocation model based on genetic algorithm is proposed.By establishing the accurate model of the unit characteristic curve and the intelligent load distribution model,the load of each unit is allocated reasonably and the profit of the distributed energy station is maximized.Using the optimal load distribution model,a distributing energy station on a Shanghai campus is optimized.The optimization results show that the model can greatly improve the comprehensive efficiency of generating units and integrated gross margin of the power station.