High speed protection of medium voltage DC distribution system using modified mathematical morphology

Abstract

One of the challenging issues in the realization of medium-voltage DC (MVDC) distribution system is high-speed protection scheme design against quickly rising short circuit fault-DC current. This paper proposes a high-speed protection scheme based on the processing of energy signals through mathematical morphology (MM). The voltage and current signals measured at a distribution line section (DLS) are used to obtain the energy signal. The proposed scheme develops a modified MM-based filter to extract the transient information in the energy signal rapidly and distinctly in the form of positive/negative polarity. The polarity detection of any disturbance in the analysed energy signal indicates the occurrence of a sudden disturbance in the system. The sudden disturbance occurrence confirmation triggers the faulty DLS identification and classification algorithms of the proposed scheme. The faulty DLS identification and classification algorithms are based on the detected polarities of the energy signal. The protection scheme requires low bandwidth communication. The proposed protection scheme is evaluated by using a ±2.5 kV radial distribution network containing 4 feeders under different fault conditions in MAT-LAB/SIMULINK software. Simulation results verify that the proposed scheme can isolate the faulty portion within a few milliseconds after fault inception under a variety of fault cases.

Enhanced Fault Detection and Localization Strategy for High-Speed Protection in Medium-Voltage DC Distribution Networks Using Extended Kalman Filtering Algorithm

“…In comparison to the existing benchmark schemes including Mathematical morphology-based scheme [9], Pseudo-datadriven-based scheme [22], ANN-based scheme [29], and Entropy-based scheme [18]. It is shown in TABLE 4 that the proposed scheme demonstrates significant improvements in accuracy, computational burden, and operation time.…”

“…A quick DC microgrid fault diagnosis technique was suggested in [8], involving mathematical modeling and multi-objective optimization for fault identification/localization, while fault location is calculated by means of a genetic algorithm. Likewise, the authors in [9] offered a high-speed protection method employing mathematical morphology (MM). Which process energy signals from voltage and current measurements in a DC distribution line to speedily detect and classify faults based on polarity changes.…”

Hardware Supported Fault Detection and Localization Method for AC Microgrids Using Mathematical Morphology with State Observer Algorithm

“…The detailed computational steps of the MM algorithm are shown in Table 2. When performing any type of MM-based operation, SE slides over the processing signal like a window to extract transitory features that resemble its structure [34]. Hence, for applications in power systems, the best SE should be chosen.…”

Novel design and performance evaluation of an indirectly forced convection desiccant integrated solar dryer for drying tomatoes in Pakistan

“…This collector was optimized with copper, black chrome coating, and corrugated fins to cut system losses. This setup performed exceptionally well [ 24 , 25 ]. In Ref.…”