考虑热舒适度模糊特性的电热联合系统节能优化调度模型研究

Study on energy-saving optimal dispatch model of power-thermal combined system considering fuzzy characteristic of thermal comfort

为促进风电消纳,提高电热联合系统的节能效果,发挥热舒适度的模糊特性对节能优化空间的拓展作用,文章提出一种考虑热舒适度模糊特性的电热联合系统节能优化模型。首先,建立综合反映用户生理、心理方面的热舒适度评估指标,并用模糊数学对该指标的热感觉等级进行模糊划分,将用户的活动状态划分为活动和睡眠两种,分别制定不同活动状态下热舒适度指标的模糊热感觉区间;其次,构建了以系统煤耗量为主要优化目标,兼顾电锅炉等设备促进风电消纳带来的节煤量为次要优化目标,用户热舒适度作为约束条件的电热联合系统节能优化调度模型,采用混沌鲸鱼算法对优化模型进行求解;最后,通过算例分析,验证了模型的有效性。

In order to promote wind power consumption and improve the energy-saving effect of the combined electric heating system,and to play the role of the fuzzy characteristics of thermal comfort in expanding the energy-saving optimization space,this paper proposes an energy-saving optimization model of the combined electric heating system that considers the fuzzy characteristics of thermal comfort.Firstly,establish a thermal comfort evaluation index that comprehensively reflects the user’s physical and psychological aspects,and use fuzzy mathematics to divide the thermal sensation level of the index.The user’s activity state is divided into two types:activity and sleep.The fuzzy thermal sensation interval of the thermal comfort index.Secondly,the system coal consumption is the main optimization target,and the coal saving caused by the electric boiler and other equipment to promote wind power consumption is the secondary optimization target,and the user thermal comfort is the constraint conditional energy-saving optimal dispatch model of the combined electric and heating system,using the chaotic Whale Optimization Algorithm(WOA)to solve the optimization model.Finally,the effectiveness of the model is verified through the analysis of a numerical example.