Adaptive directional overcurrent relaying scheme for meshed distribution networks. Issue 13 (14th May 2018)

• Record Type: Journal Article
• Authors: Sampath Kumar, Dhivya; Srinivasan, Dipti; Sharma, Anurag; Reindl, Thomas
• Is Part Of: IET generation, transmission & distribution. Volume 12:Issue 13(2018)
• Page Start: 3212
• Page End: 3220
• Publication Date: 2018-05-14
• Subjects: distributed power generation -- distribution networks -- fault currents -- relay protection -- optimisation -- overcurrent protection -- decision making -- power distribution protection -- power generation protection -- stochastic processes; adaptive directional overcurrent relaying scheme -- bidirectional power flow -- distributed generation sources -- adaptive directional OC relay algorithm -- optimal protection settings -- active meshed distribution networks -- optimal floating time settings -- directional overcurrent protection -- renewable DG -- power distribution networks -- fault currents -- fuzzy decision‐making module; Electric power production -- Periodicals; Electric power transmission -- Periodicals; Electric power distribution -- Periodicals; 621.3105
• DOI: 10.1049/iet-gtd.2017.1279
• Languages: English
• ISSNs: 1751-8687

Abstract

Abstract : Distribution networks are evolving into active meshed networks with bidirectional power flow as the penetration of distributed generation (DG) sources is increasing. This necessitates the use of directional relaying schemes in these emerging active distribution networks. However, conventional directional overcurrent (OC) protection will not be adequate to protect these networks against the stochastic nature of renewable DGs and the changing network architectures. Hence, this study proposes an adaptive directional OC relay algorithm that determines optimal protection settings according to varying fault currents and paths induced by the DGs in active meshed distribution networks. The proposed algorithm consists of a two‐phase approach that deduces: (i) optimal floating current settings through a fuzzy decision‐making module, and (ii) optimal floating time settings through an optimisation algorithm. Extensive case studies are implemented on the modified power distribution networks of IEEE 14‐bus and IEEE 30‐bus by varying the type, location, and size of DGs. The results validate the ability of the proposed protection scheme to capture the uncertainties of the DGs and determine optimal protection settings, while ensuring minimal operating time.