A Transient Reconstructed Current-Instantaneous Correlation Factor Based Fault Section Location Method for Active Distribution Network

Fault location technique is a key technology of smart distribution network. It is helpful for the fast line repair and power service restoration in distribution systems. In this paper, a novel multi-agent system based fault section location method for active distribution network is proposed, which can be in common use under various system neutral operation conditions. The transient reconstructed current - instantaneous correlation factor (TRC-ICF) of a line section is used to detect and locate the fault. There are three levels of agents in this method: local agent, regional agent and central agent. The local agent can collect the current information and obtain the transient reconstructed current data by information processing. The regional agent can detect fault in the section of its charge by computing and judging the TRC-ICF of the section based on the transient reconstructed current data sent from the local agents. The central agent monitors the operation of the whole system, and outputs the fault location result by integrating the fault determination results of all the regional agents. The proposed method has been verified by a series of MATLAB/Simulink simulations.

[1]  Arturo S. Bretas,et al.  Fault location for underground distribution feeders: An extended impedance-based formulation with capacitive current compensation , 2009 .

[2]  Bo Zhiqian Investigation on Protection and Control of Smart Grid , 2009 .

[3]  Lu Yuping New Fault Section Location Algorithm for Distribution Network with DG , 2009 .

[4]  Shi Xiaohan Fault Detection and Isolation Algorithm for Distribution Network Containing Distributed Generations , 2011 .

[5]  S. M. Brahma,et al.  Fault Location in Power Distribution System With Penetration of Distributed Generation , 2011, IEEE Transactions on Power Delivery.

[6]  Si Xinyu Protection Scheme for Active Distribution System Based on Directions of Current Phase Angle Variation , 2014 .

[7]  Jamal Moshtagh,et al.  A new approach to fault location in three-phase underground distribution system using combination of wavelet analysis with ANN and FLS , 2014 .

[8]  Yang Yihan Online Fault Location of Neutral Point Ungrounded Distribution Network Based on Zero-sequence Power Direction , 2008 .

[9]  Pan Fei,et al.  Technology and Its Trends of Active Distribution Network , 2012 .

[10]  Bc Hydro,et al.  Smart Grid and Its Implementations , 2009 .

[11]  Niu Gen,et al.  Fault Location Method for Low Voltage Active Distribution Network Based on Phase-angle Differences of the Clark Currents , 2015 .

[12]  Athula Rajapakse,et al.  Isolation of faults in distribution networks with distributed generators , 2009, 2009 IEEE Power & Energy Society General Meeting.

[13]  Yun Wei Li,et al.  A New Control Strategy to Mitigate the Impact of Inverter-Based DGs on Protection System , 2012, IEEE Transactions on Smart Grid.

[14]  Hongwei Du,et al.  Self-healing Control Technology for Distribution Networks , 2017 .

[15]  A. F. Naiem,et al.  A Classification Technique for Recloser-Fuse Coordination in Distribution Systems With Distributed Generation , 2012, IEEE Transactions on Power Delivery.

[16]  Francois Vallee,et al.  Numerical comparison of the effects of different types of distributed generation units on overcurrent protection systems in MV distribution grids , 2014 .