Single-phase-to-earth faults account for approximately 70% of faults in electrical power systems. Their reliable detection and timely clearance are therefore essential for safe and reliable system operation and for preventing equipment damage. In resonant-earthed networks, the inductive current of the Petersen coil connected to the transformer neutral compensates for the capacitive earth-fault current. Consequently, the current at the fault location is reduced, limiting the impact of the fault while making its detection by conventional protection methods more challenging. In this thesis, fault detection and localization are therefore considered while the network is operating with the Petersen coil connected.
In the network under consideration, the Petersen coil is used in combination with a low-resistance resistor. During an earth fault, the coil limits the fault current, while in the event of a sustained fault, the resistor is connected in parallel to increase the active component of the fault current. This enables more reliable identification of the faulty feeder and its selective disconnection. Such an arrangement also allows the existing protection system to remain in use, as a transition to purely resonant earthing would require more extensive modifications to the protection functions. The existing protection system can therefore detect and disconnect the faulty feeder, but it does not provide an accurate estimate of the fault location along the feeder.
An additional limitation is the changing network configuration. Changes in switching states alter the total phase-to-earth capacitance and, consequently, the degree of compensation. The Petersen coil setting must therefore be adjusted accordingly, while the changed operating conditions may also affect protection performance. This provides the motivation for developing a method that considers not only measured electrical quantities but also the current network topology. In this context, time-synchronized phasor measurements provided by a WAMS could serve as an additional analytical layer alongside the existing protection system, enabling more accurate fault detection, directional determination, and localization. The proposed approach is not intended to replace the existing protection system, but rather to provide more accurate information on the fault location and thereby support faster and more selective fault isolation.
Due to the limited possibility of intervening in the operation of a real distribution network and the need to evaluate the algorithm under a wide range of scenarios, an appropriate testing environment first had to be established. The environment must support the simulation of different network configurations and arbitrary fault parameters while ensuring the repeatability of individual scenarios and an adequate representation of the network's physical behaviour. For this purpose, a custom platform was developed around the OpenDSS simulation engine, enabling the preparation, modification, and execution of different operating scenarios. Establishing such an environment constituted the first part of the practical work and provided the basis for the subsequent development of the fault detection and localization methods.
The basic concept of the detection method is based on using each PMU as a directional measuring element that determines the presence and direction of a fault from the measured phasor relationships. Time synchronization between the PMUs enables the same fault event to be observed simultaneously from multiple locations across the network. The detection results then serve as the input for fault localization. For each activated PMU, the detected fault direction is combined with the network topology to identify all possible paths in that direction. The search area is thereby restricted to the part of the network consistent with the responses of the activated devices. Within the resulting candidate paths, the fault location is subsequently estimated using the network topology and synthetically generated phasor measurements.
The results showed that localization performance depends primarily on the number and placement of PMUs, the fault distance and resistance, and the network configuration. The method performed better under radial operation and for faults located closer to the primary substation, while its accuracy decreased with increasing fault distance. Under meshed operation, greater measurement coverage was required for reliable localization due to the multiple paths through which the effects of the fault can propagate. Detection performance was also influenced by fault resistance and the selection of the characteristic angle. In successful cases, the method was able to locate the fault within the predefined accuracy criterion of 300–500 m. The calculated locations represent estimates of the actual fault location, and their accuracy could be further improved by accounting for the capacitive current contributions of healthy feeders.
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