Intelligence-Driven Power Quality Monitoring

Abstract

Power quality is an issue that needs continual Since quality of voltage holds significant importance in attention and have increasingly been used as the key indicator the functionality of any power network, monitoring of for benchmarking of the true performance of many utilities in voltage quality has become a major area of investigation. the world. Since quality of voltage holds significant importanceThe extreme financial burden required may not be in the functionality of any power network, monitoring of favourable to provide measurements at each bus and line in voltage quality has become a major area of investigation. The avork in both trasmen and inevin extreme financial burden required may not be favourable to a network in both transmission and distribution levels. provide measurements at each bus and line in a network in However, to decide on the remedial measures, it is both transmission and distribution levels. However, to decide imperative to locate the type, cause and the exact location of on the remedial measures, it is imperative to identify the type the fault in the power system. It is usual to have power and the location of the fault in a power system. quality related events, more specifically a sag or swell, surfacing at the distribution level due to a fault at the In this paper, an overview of the intelligence-driven power transmission level. quality monitoring system is described. The intelligence-driven monitoring system is used to enhance system observability through pseudo-measurement data generation. InvestigationFor power systems without SCADA systems, the status and simulation were performed on a regional network. of circuit breakers are not available for detection of fault Subsequently, the type of fault and the probable location of locations. Thus, there is a need for system observability fault whether it is in transmission or distribution level leading through pseudo-measurements. to the degradation of quality were identified.In this paper, an overview of the intelligence-driven

Initial condition based real time classification of power quality disturbance using deep convolution neural network with bidirectional long short‐term memory

“…As voltage quality embraces considerable importance in the working of any power system, detection of the quality of voltage has turn out to be an important field of analysis. A general idea about the intelligence-driven system for the monitoring of power quality was deliberated [38]. This system was utilized in the enhancement of the observability of system via pseudo-measurement information development.…”