基于拓扑识别的低压台区柔性负荷弹性优化调度方法

Flexible Load Elastic Optimal Scheduling Method in Low-voltage Station Area Based on Topology Identification

为了降低低压台区电网受阻功率,提升低压台区柔性负荷调度技术水平,减少低压台区业务拓展受现有终端设备的软硬件条件、功能等限制,提出拓扑识别下的低压台区柔性负荷弹性优化调度方法。该方法以云计算为基础,建立由端-管-边-管-云构成的低压台区柔性负荷弹性优化调度技术架构;通过采集该架构端内的配电设备、变电终端、输电终端等实时运行数据,经过边缘物联代理传输到云端内的物联网管理平台的数据中台和服务中台;柔性优化调度模块从业务中台和数据中台调取相关低压台区实时运行数据,使用低压台区异常拓扑识别子模块识别当前低压台区异常区域拓扑,并计算当前区域视在功率和电表箱进线有效电流数值;以其作为输入,使用优化调度可视化模块内的多类型柔性负荷分级优化调度模型实现低压台区柔性负荷弹性优化调度。实验表明:该方法识别的某配电网低压台区异常线路与实际异常线路完全重合,计算低压台区电表箱进线有效电流数值精度为99.75%;该方法可有效降低低压台区受阻功率,识别低压台区异常负荷区域拓扑,应用效果较佳。

In order to reduce the hindered power of the power grid in the low-voltage station area,improve the level of flexible load scheduling technology in the low-voltage station area,and reduce the limitations of the software and hardware conditions and functions of the existing terminal equipments in the business expansion of the low-voltage station area,a flexible load eslastic optimal scheduling method in the low-voltage station area under topology identification is proposed.The method is based on cloud computing.A flexible load eslastic optimal scheduling technical framework is established for low-voltage station area,which is composed of end-pipe-side-pipe-cloud.After running the real-time operation data of the distribution equipment,substation terminal and tranmission terminal in the architecture end,it is transmitted to the data center and service center of the IoT management platform in the cloud through the edge IoT agent.The elastic optimal scheduling module retrieves the relevant low-voltage station area from the business center and data center for real-time operation.Take the data as input,the abnormal topology identification sub-module of the low-voltage station area is used to identify the current abnormal area topology of the low-voltage station area,and calculate the current area apparent power and the effective current value of the meter box incoming line.Type flexible load hierarchical optimal scheduling model realizes flexible optimal scheduling of flexible loads in low-voltage station area.Experiments show that the abnormal line in a low-voltage station area of a distribution network identified by this method completely coincides with its actual abnormal line,and the numerical accuracy of calculating the effective current of the incoming line of the meter box in the low-voltage station area is 99.75%.The blocked power in the low-voltage station area can be effectively reduced after application.It can effectively identify the regional topology of abnormal load in the low-voltage station area,and the application effect is better.