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The main source of uncertainty considered is one line outage of double circuit transmission line.
This paper proposes a new state estimation methodology based on the concepts of sparse vector recovery and line outage modeling.
Line outage identification problem has been traditionally formulated as a combinatorial optimization problem and requires an exhaustive search to find an optimal solution.
The security margin is used as a stability analysis criterion, considering three-phase short circuit faults with a transmission line outage.
Simulation results of the IEEE 39-, 57- and 118-bus systems verify the effectiveness of the developed methods in detecting line outage locations.
Simulation results are presented and compared with a PI controller under various disturbances namely; three-phase fault, line outage, loss of load and unbalanced faults to show the effectiveness and robustness of the proposed approach.
Similar(35)
This paper develops new methods to estimate the locations of transmission line outages in transmission networks.
That to enhance the performance of the power network in normal operation and during contingencies involving transmission line outages.
This paper presents computationally efficient artificial neural network technique for assessing the security of the power system against line outages.
Line outages in power systems cause data centers to miss some measurements thus making parts of networks unobservable.
Two transmission outage models are developed based on DC and AC power flow equations and injected power changes due to line outages.
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