Algorithm for fault detection and localisation in a mesh‐type bipolar DC microgrid network. Issue 15 (15th July 2019)

• Record Type: Journal Article
• Authors: Bhargav, Reddipalli; Bhalja, Bhavesh R.; Gupta, Chandra Prakash
• Is Part Of: IET generation, transmission & distribution. Volume 13:Issue 15(2019)
• Page Start: 3311
• Page End: 3322
• Publication Date: 2019-07-15
• Subjects: power transmission protection -- fault location -- distributed power generation -- fault diagnosis -- power transmission faults -- fault currents; distributed generators -- mesh‐type network -- bipolar system -- low‐voltage level -- V mesh‐type bipolar DC microgrid network -- calculated value -- pole‐to‐pole voltage -- pre‐defined threshold values -- internal fault -- external fault -- estimated parameters -- exact location -- aforementioned DC microgrid network -- ground -- variable fault resistance -- method detects fault -- local voltages -- currents -- fault detection -- localisation -- DC distribution system -- voltage 1200.0 V -- time 1.25 ms; Electric power production -- Periodicals; Electric power transmission -- Periodicals; Electric power distribution -- Periodicals; 621.3105
• DOI: 10.1049/iet-gtd.2018.5070
• Languages: English
• ISSNs: 1751-8687

Abstract

Abstract : This study proposes a new method to detect and locate the fault in a DC distribution system in the presence of distributed generators. As the mesh‐type network provides good continuity of service during faults and the bipolar system transmits high power at low‐voltage level to the end user, the proposed scheme has utilised 1200 V mesh‐type bipolar DC microgrid network. The proposed scheme detects a fault by comparing the calculated value of fault current and pole‐to‐pole voltage with the pre‐defined threshold values and then distinguishes internal or external fault based on an estimation of line parameters. In case of an internal fault, the estimated parameters yield the exact location of the fault. The modelling of the aforementioned DC microgrid network has been carried out in PSCAD/EMTDC environment and various faults involving pole and ground have been performed with variable fault resistance and location. The simulation results clearly indicate that the proposed technique is not only capable to detect the fault rapidly but also able to disconnect the faulty section speedily (around 1.25 ms). As the proposed method detects fault by utilising local voltages and currents, its reliability is better than the previous algorithms.