Analysis of Power Quality Improvement in Voltage SAG and Load Sensitivity using Fuzzy Logic

The power quality (PQ) requirement is one of the most important issues for power companies and their customers. The disturbances are voltage sag, swell, notch, spike and transients etc. The voltage sag is very severe problem for an industrial customer which needs urgent attention for its compensation. There are various methods for the compensation of voltage sag. One of the most popular methods of sag compensation is fuzzy logic technique for PQ disturbance analysis which is used in both low voltage and medium voltage applications. In this paper, the comprehensive reviews of various articles, the advantages and disadvantages of each possible configuration and control techniques pertaining to fuzzy logic are presented. This paper presents a case study application of fuzzy logic in a power quality issue. It describes the computer-based load sensitivity to voltage sags, by using fuzzy sets and IF-THEN inference rules. A fuzzy inference system is experimentally implemented for these cases, showing the general procedures of how to use this theory. It appears that fuzzy set theory can play an important role in diagnosing disturbances. And hence it can offer insights towards the satisfaction of the needs of manufacturers, Utilities and customers.