PMU based line outage identification using comparison of current phasor measurement technique

In this paper, a novel algorithm for identification of multiple line outage based on comparison of current phasor measurement (CCPM) technique is presented. A least square norm minimization model has been developed considering bad data due to faulty phasor measurement unit (PMU). In this proposed algorithm, the line current phasors obtained from load flow simulation for several outage cases are stored. On occurrence of actual outage, PMU provided current phasors are compared with the stored simulated current phasors using least square norm minimization approach. Moreover, random Gaussian noise with zero mean and standard deviation from 1% to 5% is introduced in the proposed model to check the feasibility in real power network. The performance of the proposed algorithm is evaluated by introducing two novel indices i.e., estimation accuracy including critical cases (EAICC) and estimation accuracy excluding critical cases (EAECC). Moreover, another new performance index i.e., success rate with repeated trial (SRWRT) is proposed to verify the noise independency of the test results with repeated number of trials. Performance of the algorithm is tested on IEEE 5-bus, 14-bus, 30-bus, 57-bus, and 118-bus systems. Numerical results show the reliability and viability of the proposed methodology for identification of multiple line outages.