Flexible Load Elastic Optimal Scheduling Method in Low-voltage Station Area Based on Topology Identification
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 eslas-tic 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,sub-station 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 sta-tion area,and the application effect is better.
topology identificationlow-voltage station areaflexible loadoptimal schedulingeffective currentcommercial aggregate load
万方数据
维普
