Power Quality Analysis using Fuzzy Logic

Electrical Engineering

Over the last decade, power quality has become an imminent issue. Power quality is one of the major and significant factor to be considered by power system utilities while satisfying the needs of power distributor and customers. Therefore, it becomes extremely essential to analyze the influence quality system to discern the disturbances in power quality. A number of exploration studies regarding the power quality have been done earlier targeting the collection of information for an additional analysis. As a result, the repercussions of the varied disturbances in power systems may be investigated and analyzed. In our proposed work, we have developed a technique that inherently deals with the implementation of a hardware model of small demo transmission line. The range of transmitting voltage is between that of 25 to 50 V AC. The transmission line parameters are then measured using current transformers (CT) and potential transformers (PT) sensors. That values measured from CT and PT sensors are then transferred to the MATLAB simulink fuzzy logic controller where the power quality is further detected and analyzed. After the detection and analysis, then all these types of power quality disturbance signals are further classified using Fuzzy Logic based Controller (FLC). The complete system is designed in MATLAB 2015R software atmosphere or using hardware model implementation whose analysis done in MATLAB 2015R software. In the end, we have compared the Fuzzy Logic based Controller (FLC) system with Artificial Neural Network (ANN) system for power quality analysis.

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