“…In [17], a new directional relay using amplitude and phase of sequence components in the network is proposed. In [18], a new zero-sequence direction protection for microgrid ground faults is proposed. Huang et al [19] proposed an inverse-time impedance protection method, which is not affected by changes in the microgrid short-circuit level.…”
This paper presents an improved inverse-time over-current protection method based on the compound fault acceleration factor and the beetle antennae search (BAS) optimization method for a microgrid. The proposed method can not only significantly increase the operation speed of the inverse-time over-current protection but also improve the protection coordination by considering the possible influential factors in terms of microgrid operation modes, distributed generation (DG) integration status, fault types, and positions, which are marked as the most challenging problems for over-current protection of a microgrid. In this paper, a new Time Dial Setting (TDS) of inverse-time protection is developed by applying a compound fault acceleration factor, which can notably accelerate the speed of protection by using low-voltage and short-circuit impedance during the fault. In order to improve the protection coordination, the BAS algorithm is then used to optimize the protection parameters of the pick-up current, TDS, and the inverse time curve shape coefficient. Finally, case studies and various evaluations based on DIgSILENT/Power Factory are carried out to illustrate the effectiveness of the proposed method.
“…There are different solutions proposed in the literature to deal with the protection challenge of microgrids, including adaptive overcurrent methods, directional element method, differential‐based methods, voltage‐based methods, and data mining‐based methods …”
Section: Introductionmentioning
confidence: 99%
“…Mahamedi et al use the positive‐sequence directional element for microgrid protection. The method is effective and fast, but it is only applicable for earth fault detection in inverter‐based microgrids.…”
Summary
Protection is the main challenge for the operation of microgrids. This paper presents a new data mining method for identification of faulted line section for the protection of microgrids. This method uses wavelet packet transform (WPT) to extract a set of features from the fault voltage and current waveforms. The features are then pre‐processed and used for identifying the faulted line section through classification. Three classifiers are examined in this paper. In order to improve the classifiers performance, two pre‐processing steps are applied on the features. First, using three different feature selection methods, the irrelevant and redundant features are removed from the feature set. Secondly, using a supervised discretisation technique, the continuous features are converted into finite interval features. The performance of the proposed method is investigated and compared with previous methods using extensive simulation study on a complex microgrid. The results indicate that with only six discretised features, the proposed method has a fast and accurate performance by using the three classifiers examined, whereas one is more effective. Moreover, the proposed method only uses the measurement at the main substation, obviating the need for communication links to exchange data as used by most previous methods.
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