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Fault detection during power swing condition is a challenge for stable operation of power system due to several reasons. This paper proposes a negative-sequence current-based technique for detecting presence of fault, classification of fault occurred, estimated zone and location of the fault occurred and the fault inception time with respect to system reference clock during the power swing condition in a series compensated line. The technique is tested for different series -compensated power systems including a SMIB system and a WSCC-9bus-3machine power system with their different configurations and contingency combinations. Power swing caused by various faults are simulated with PSCAD / EMTDC and MATLAB/SIMULINK and compared with available techniques to prove the effectiveness of the proposed technique algorithm.

Relay coordination is very important from the point of view of security and healthy operation of power system. Relays should be organized in such a way that every relay should have at least one back up relay and coordination time interval between primary and secondary relays should be maintained. This paper presents the solution of relay coordination problem using Teaching learning based optimization technique (TLBO) by utilizing an IEEE 5 bus and IEEE 30 bus test system. The obtained results are compared with the results obtained from other contemporary meta-heuristic techniques like Genetic Algorithm (GA) and Particle Swarm Optimization technique (PSO). It is observed that TLBO is the best among those with respect to process speed. After this we have done an extension of the work by introducing critical element and network graph theory based relay minimization technique. It is expected that this analysis will be helpful to maintain the network reliability and healthy flow of power.

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