Voltage & Current Magnitude Pattern Recognization by Using Fuzzy Logic Toolbox for Fault Types Classification

Abstract

<p>This research introduces the appropriate input pattern of Fuzzy Logic design for fault type classification of Single Line to Ground Fault at distribution network. The proposed design is solely using Fuzzy Logic as the research technique with input data from PSCAD simulation. PSCAD software simulate the circuit configuration for fault disturbance at the distribution network. The research technique was applied with multiples input values of voltage and current that extracted from the PSCAD simulation. This research testifies the output result by using different fault resistance values; 0.01Ω, 10Ω, 30Ω, 50Ω and 70Ω. Voltage sag and current swell of phase a, b and c that were obtained from the PSCAD simulation have been used as the input variables for Fuzzy Logic design. The acquired results that represented in average accuracy shown that voltage sag and current swell can draw a satisfying accuracy in classifying the fault type.</p>

Wide area monitoring system control management of the IEEE-14 bus system using least square support vector regression

“…When the problem or fault occur on the WAMS appear as a one of the solutions to manage the reliable energy. In the recent years, focusing on fault location method have been improved by some researcher which mention in papers [10]- [13]. Awalin et al [10] was contribute fault detection on the distribution network based on voltage and current measurement by using matching approach combine with impedance-based method.…”

“…While the paper Idris et al [12] has also examined the location of interference by using data from two different terms to detect interference in the transmission system. Awalin et al [13] focuses on how to detect the types of disturbances that occur in electrical power distribution systems. Wang et al [14] mention that the hierarchical structure of WAMS is consist of main network with multiple of another network.…”