%0 Electronic Article %A Dhivya Sampath Kumar %A Dipti Srinivasan %A Anurag Sharma %A Thomas Reindl %K renewable DG %K optimal floating time settings %K distributed generation sources %K fault currents %K bidirectional power flow %K fuzzy decision-making module %K active meshed distribution networks %K optimal protection settings %K power distribution networks %K adaptive directional OC relay algorithm %K adaptive directional overcurrent relaying scheme %K directional overcurrent protection %X 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. %@ 1751-8687 %T Adaptive directional overcurrent relaying scheme for meshed distribution networks %B IET Generation, Transmission & Distribution %D July 2018 %V 12 %N 13 %P 3212-3220 %I Institution of Engineering and Technology %U https://digital-library.theiet.org/;jsessionid=em49m72a84ct.x-iet-live-01content/journals/10.1049/iet-gtd.2017.1279 %G EN