Random Fault Positioning Based Voltage Sag Assessment for a Large Power Transmission Network

Abstract

AbstractAn occurrence of symmetrical and unsymmetrical faults on a power network is the major cause of Power Quality (PQ) disturbances like under-voltage, voltage sag, and interruption. Due to this PQ disturbances, the loads connected at this network gets affected, resulting in huge financial losses. Therefore, the utility companies need to supply good quality power to their customers which are a very complex task because of the randomness of the power system faults. So, in this paper, the randomness of the fault is modeled using an analytical method as well as Monte Carlo Simulation (MCS) methods by considering different power system faults so that the number of voltage sag can be estimated at each bus. A comparative study between an analytical approach and Monte Carlo Simulation (MCS) methods is also presented in this paper. The occurrence of fault per year per kilometer is evaluated using the fuzzy system. The proposed methodology is implemented on a large power system network (i.e., IEEE 118 bus system). The results of this paper are obtained from the MATLAB software, and the findings help the industrial and utility companies to decide their protection as well as the mitigation scheme.KeywordsSymmetrical and unsymmetrical faultsVoltage sagPower quality