预算限制下考虑综合舒适度的智能用电优化模型

Optimization Model of Intelligent Power Consumption Considering Compositive Comfort within Budget Limitation

针对用户行为的不确定性和家电优先级对负荷调度的影响,提出一种在预算限制下考虑综合舒适度的智能用电优化模型。首先,将用户费用支出与舒适度相结合定义了单位舒适度支出,并阐述了针对用户用电舒适度的前提假设。其次,基于时间优先级和设备优先级对舒适度值进行分配,综合2种优先级得到综合舒适度。最后,在预算限制下,建立了考虑综合舒适度的智能用电优化模型,并利用持续搜索粒子群算法对模型进行求解。通过3种不同预算限制下的仿真验证了该模型在提高用户舒适水平方面的有效性。

In view of the uncertainty of user behavior and the impact of household appliance priority on load scheduling,an optimization model of intelligent power consumption is proposed,which considers compositive comfort under budget limitation. Firstly,the unit comfort expenditure is defined by combining users’ expense and comfort level,and the presupposition for users’ comfort level is expounded. Secondly,after allocating comfort value according to time priority and equipment priority,the compositive comfort value can be obtained by combining two priorities. Finally,under budget limitation,an optimization model of intelligent power consumption considering compositive comfort is established,and the model is solved by using the continuous search particle swarm optimization algorithm. Simulation results in three different scenarios show the effectiveness of this model in improving users’ comfort level.