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Fuzzy Logic based Performance Analysis of Voltage Sag for Power Quality Progress in Smart Power System


Author(s):

Ankit Tandon , Geetanjali Institute of Technical Studies, Udaipur; Sitan Kumar Singh, Geetanjali Institute of Technical Studies, Udaipur; Neha Malav, Geetanjali Institute of Technical Studies, Udaipur; Swati Roat, Geetanjali Institute of Technical Studies, Udaipur; Toshik Audichya, Geetanjali Institute of Technical Studies, Udaipur

Keywords:

Power Quality, Fuzzy Control, Fuzzy Expert Systems, Feature Extraction, Membership Function

Abstract:

Smart power system includes power system with automatic VAR controlling, automatic progress in the quality of power with minimum harmonics, auto-fault detection and controlling features and various SCADA based smart monitoring features of existing power system networks. Power quality can be represented as the variation of voltage, current and frequency in a power system. Power quality (PQ) requirement is one of the most important issues of the power companies and their consumers. With the increased use of power electronic devices, customers have become more consideration on electric Power quality. Power quality problem encompass a wide range of disturbances such as voltage fluctuations like voltage sag and swell, notch, spine transient analysis using a variety of techniques. Power quality estimation is one of the important features which is automatically detected. Power quality disturbances classification which requires the use of artificial intelligence techniques. In this paper, short-term application of fuzzy expert system voltage disturbances including voltage sag, swell and interrupts classification are discussed. Fuzzy expert system has been developed to set the input and output of the fuzzy rules. The system is designed to detect and the three types of short duration voltage disturbances classification.


Other Details:

Manuscript Id :RMSCRP019
Publication Date: 05/04/2017
Page(s): 70-75
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