基于云模型的激励型区域柔性负荷响应不确定性研究

Uncertainty of Regional Incentive Flexible Load Based on Cloud Model

区域柔性负荷可综合体现各类柔性负荷的响应特性,是未来主动参与新能源消纳的重要主体。文章首先以不同类型柔性负荷的响应模型为基础,建立区域柔性负荷的确定性响应模型;其次,分析激励水平对需求响应特性的影响,建立基于云模型理论的区域柔性负荷响应不确定性模型;进一步,在响应云的置信区间内,确立调度模型中系统的可信性功率平衡机会约束;然后,针对区域柔性负荷参与的主动配电网调度问题,建立以系统运行成本最低为目标的优化调度模型,并利用粒子群算法求解此模型;最后通过仿真分析,得出不同激励水平、不同柔性负荷占有量下区域柔性负荷的响应特性,从而为系统利用区域柔性负荷消纳新能源提供理论参考。

As an important subject for active participation in new energy application in the future,the regional flexible load comprehensively reflects the response characteristics of various flexible load.Firstly this paper establishes a deterministic response model of regional flexible load based on the response models of different types of flexible loads.Secondly,by analyzing the characteristics of demand response under different stimulation levels,the regional flexible load response uncertainty model under cloud model theory is established.Further,the credibility power balance opportunity constraint of the system in the scheduling model is established within the confidence interval of the response cloud.Then,aiming at the active distribution network with regional flexible load,an optimal scheduling model with the minimum operating cost is established,and the particle swarm optimization algorithm is used to solve the model.Finally,the response characteristics of regional flexible load under different stimulation levels and different flexible loads occupancy are analyzed by stimulation,which provides a theoretical reference for the system to use regional flexible load for the consumption of the new energy.