Abstract
An important challenge in protection of a microgrid is the process of fault detection, considering the uncertainties in its topologies. Equally important is the evaluation of proposed methods as their incorrect performances could result in unreasonable power outages. In this paper, a new fault detection and characterization method is introduced and evaluated subject to the uncertainties of network topologies. The features of three-phase components together with the positive, negative and zero sequences of current and voltage waveforms are derived to detect the occurrence of a fault, its location, type and the engaged phases. The proposed method is independent of the microgrid topology. To evaluate the performance of the proposed method in various network topologies, a Monte Carlo scheme is developed. This is done by computing the expected energy not-supplied reliability index and the percentage of successful performance of the fault detection. Simulation results show that the proposed method can detect faults in various microgrid topologies with a very high degree of accuracy.
Highlights
Despite the benefits counted for the microgrids, their designs remained at the laboratory level because of various technical reasons
Since the most important challenge of developing microgrids is the matter of fault detection, the scope of this paper is to present a new method for fault detection
The evaluations show that the proposed method has strongly higher reliability in contrast to reliability obtained by the transitional fault detection methods
Summary
The modules continuously take samples from voltage and current signals and deal with the proposed fault detection method to determine the occurrence of a fault, its type, and the. The intended reliability indices are evaluated due to the possibility of fault occurrence in various network lines and dynamic behavior of microgrid topology. Step 5: Simulate the transient state as a result of topology change (repaired lines switching on or DGs switching on or off) and go to subroutine 4. Subroutine 4: Fault detection Step 7: Sample three-phase current and voltage in different points of the network. In which is a running Gaussian function window, m 1: M , q Seq0, Seq, Seq , a, b, c and u i,v ; i and v indicate the current and voltage signals respectively
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