面向电力需求侧的智能电网负载调度方法  

Load Scheduling Method of Smart Grid for Power Demand Side

作　　者：曹敏 温栋 贾蓉蓉 CAO Min;WEN Dong;JIA Rongrong(State Grid Shaanxi Electric Power Co.,Ltd.,Xi′an 710000,China)

机构地区：[1]国网陕西省电力有限公司,陕西西安710000

出　　处：《电工技术》2023年第6期91-93,96,共4页Electric Engineering

摘　　要：为提高电网的负载转化效率,研究了面向电力需求侧的智能电网负载调度方法。采用BP神经网络算法,识别并提取电力需求侧用户的用电行为特征,为智能电网负载调度方法提供用电特征样本基础。分析负载调度的影响因素,基于用电条件约束,建立智能电网负载调度模型。为检测模型的负载调度效果,在模型高效稳定的基础上,根据某区域的电力需求群体用电特征进行负载调度仿真试验,结果显示,进行电网负载调度后,试验组用电最高峰与用电最低谷的峰谷距离比对照组低13,表明设计的面向电力需求侧的智能电网负载调度方法可以更加有效地降低电网负载的峰谷差值,提高电力需求侧用户的用电效率。In order to improve the load conversion efficiency of power grid,the load scheduling method of smart grid for power demand side is studied.The BP neural network algorithm is used to identify and extract the power consumption behavior characteristics of users on the power demand side,which provides a sample basis for the power consumption characteristics of the smart grid load dispatching method.The influencing factors of load dispatching are analyzed,and a load dispatching model of smart grid is established based on the constraints of power consumption conditions.In order to detect the load scheduling effect of the model,based on the high efficiency and stability of the model,the load scheduling simulation test is carried out according to the power consumption characteristics of a certain regional power demand group.The results show that after grid load scheduling,the peak-to-valley distance between the highest peak of electricity consumption and the lowest trough of electricity consumption in the experimental group is lower than that of the control group13,indicating that the designed smart grid load dispatching method for power demand side can more effectively reduce the peak-valley difference of power grid load and improve the power consumption efficiency of users on the power demand side.

关 键 词：电力需求侧 智能电网 负载调度 电力分配 智能负载调度 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]