主动配电网优化调度场景下的变频空调负荷聚合外特性研究

Application of Inverter Air Conditioner Aggregation External Characterization Study in Active Distribution Grid Optimization Scheduling

在“碳达峰碳中和”目标和新型电力系统建设的背景下,分布式能源在配电网中的占比逐年增加。然而,新能源发电具有随机性和间歇性,随着负荷峰谷差的不断增大,仅靠传统发电侧资源难以满足系统调峰等需求。随着需求响应技术的发展,对负荷侧灵活资源进行调控已成为可能,亟需挖掘可控负荷的可调潜力,并从系统的角度出发,对其调节能力并进行定性定量分析,建立其外特性模型从而实现精准调度。文中针对用户侧的变频空调展开研究,首先明确变频空调负荷模型与控制方法;接着对变频空调聚合体调节潜力进行评估;再根据不同调节场景,建立变频空调聚合体外特性模型;最后在主动配电网中进行算例验证。结果表明,变频空调聚合体具有与传统发电机类似的外特性与调节潜力,并能有效参与主动配电网优化调度。

Under the background of the“carbon peaking and carbon neutrality”goals and the construction of new power systems,the proportion of distributed energy resources in the distribution network has been increasing year by year.However,new energy generation is random and intermittent,and with the increasing peak-to-valley difference of loads,it is difficult to satisfy the demand for peak load following with only traditional generation resources.With the development of demand response technology,it has become possible to regulate flexible resources on the load side.There is an urgent need to explore the adjustable potential of controllable loads,analyze their regulation capability qualitatively and quantitatively from the perspective of the system,and establish their external characteristic models so as to be precisely dispatched.In this paper,research is carried out on inverter air conditioners on the customer side.First,the load model and control method of inverter air conditioners are clarified;then the qualitative assessment of the regulation potential of inverter air conditioner aggregation is carried out;then,according to different regulation scenarios,the external characteristic model of inverter air conditioner aggregation is established;and finally,the example verification is carried out in the active power distribution network.The result shows that the inverter air conditioner aggregation has similar external characteristics and regulation potential as the traditional generator,and can effectively participate in the optimization of the active distribution network scheduling.