1.State Grid Corporation of China, Beijing 100031, China;2.NARI Group Corporation (State Grid Electric Power Research Institute), Nanjing 211106, China;3.NARI Technology Co., Ltd., Nanjing 211106, China;4.School of Electrical Engineering, Southeast University, Nanjing 210096, China
Broadband carrier communication technology has greatly increased the frequency and breadth of data collection for electricity consumption information, and in-depth exploration of the application value of metrology big data is a current research hotspot. First, aiming at the low-voltage distribution network with a radial topology, this paper constructs a circuit model with two-stage virtual loop impedance, that is, the user's virtual trunk line impedance and virtual branch line impedance; and achieves accurate calculation of two types of virtual impedances by eliminating the interference of the three-phase imbalance and adopting a multi-constraint linear regression model. Then, the operation mechanism of several typical abnormal operation conditions in the distribution station area is analyzed, such as topology abnormality, electricity theft by users, and line abnormality. And an analysis method for the abnormal operation condition perception of distribution stations is proposed, forming a combination diagnosis strategy based on timing stability of virtual loop impedance and spatial similarity to effectively support the equipment maintenance and power consumption inspection task of the power grid company. Finally, a power supply station in Hebei Province of China is taken as an example, and engineering application analysis and on-site verification are carried out, which fully verify the effectiveness of the proposed method.
This work is supported by National Key R&D Program of China “Technology Boosts Economy 2020 Key Topic” (No. SQ2020YFF0426410) and State Grid Corporation of China (No. 5400-202018421A-0-0-00).
[1] | GE Dehui, HUA Dingzhong, WANG Qi, et al. Analysis Method for Abnormal Operation Condition in Low-voltage Distribution Station Area Based on Virtual Circuit Impedance[J]. Automation of Electric Power Systems,2022,46(13):104-111. DOI:10.7500/AEPS20210825002 |