虚拟调峰的负荷集群优化控制技术

Optimal control technology of load cluster based on virtual peak load regulation

文章指出,虚拟调峰过程中,通过负荷控制技术调节高峰用电功率。但是传统的负荷控制技术效果不佳,导致用电功率过大。因此提出虚拟调峰的负荷集群优化控制技术。通过设置负荷聚合商,统一管理多个负荷集群;依据负荷集群后的特性建立负荷参数均一化模型,描述负荷动态变化过程;通过完善底层设计,简化热扰动影响,建立虚拟调峰控制模型,以此优化控制虚拟调峰的负荷集群。通过实验结果得知,与传统方法相比,所提出技术全天共节省用电功率6.46W,由此可见,负荷集群优化技术有更好的节能效果。

During the virtual peak shaving process,the peak power consumption is adjusted through load control technology.However,the traditional load control technology is not effective,resulting in excessive electric power.Therefore,a load cluster optimization control technology of virtual peak shaving is proposed.Set up a load aggregator to manage multiple load clusters in a unified manner;establish a load parameter homogenization model based on the characteristics of the load cluster to describe the dynamic change process of the load;improve the underlying design to simplify the impact of thermal disturbances and establish a virtual peak shaving control model to This optimization controls the load clustering of virtual peak shaving.According to the experimental results,compared with the traditional method,the proposed technology saves 6.46W of electric power throughout the day.It can be seen that the load cluster optimization technology has a better energy-saving effect.