Manohar Singh

TL;DR: Protection schemes for renewable integrated power networks which includes distribution, transmission and microgrid systems are presented, which are experiencing dynamic fault currents and frequent changing network topologies.

TL;DR: The application of Teaching Learning Based Optimization (TLBO) algorithm for optimal coordination of DOCR relays in a looped power system is discussed and the proposed algorithm TLBO gives optimal coordination margin between 0.3 and 0.8 s and no miscoordination between primary and backup pairs.

TL;DR: In this paper, the authors proposed a protection coordination scheme that monitors the state of power network continuously, and whenever there is any change in the network fault level either due to change in line parameters or incoming of new distributed energy resource, new relay group settings are communicated to corresponding relays.

TL;DR: Both continuous as well as discrete version of informative differential evolution algorithm are used for optimization of relay setting and results are compared with hybrid of genetic algorithm – nonlinear programming and sequential quadratic programming.

TL;DR: It has been found that the proposed scheme to detect and classify the different shunt faults on a transmission lines for quick and reliable operation of protection schemes is very fast and accurate and it proved to be a robust classifier for digital distance protection.