A Study on Voltage Regulation using Fuzzy Analysis

Abstract — A fuzzy logic controller (FLC) [1] with fast reference watts generation to correct and regulate unbalance watts in three-phase system is proposed in [2]. We designed an efficient algorithm to regulate the unbalance watts in three-phase system under different conditions of the utility supply. In our simulation test, the Fuzzy Logic control shows consistent excellence under various operating conditions such as different initial control gains, different load levels, and change of transmission network and consecutive disturbances. As a result we theoretically reduce the electricity bill to minimise the watts and voltage usage.

Keywords — Fuzzy Logic Control, Voltage Unbalance, sample circuit board, generator.

INTRODUCTION

The idea of fuzzy logic was first given by Lotfi Zadeh of the University of California at Berkeley in the 1960s. While working on the problem of computer understanding of natural language which is not easily translated into the absolute terms of 0 and 1. Fuzzy Logic is a powerful problem solving methodology with a lot of embedded control and information processing. Fuzzy Logic provides a remarkable way to draw definite conclusions from vague, ambiguous or imprecise information. Fuzzy Logic resembles human decision making with an ability to work from approximate data and to find precise solution. Fuzzy sets have been suggested for handling the imprecise real world problems by using truth values range between “true” or “false”. To implement fuzzy logic technique [1] in a real time application requires the following three steps: (a) Fuzzification – Convert classical data or crisp data into fuzzy data or membership functions (MFS). (b) Fuzzy Inference Process – Combine membership functions with the Control rules to derive the fuzzy output. (c) Defuzzification – use different methods to calculate each associated Output and put them into a table. Fuzzy control rule [4] can be considered as the knowledge of an expert in any related field of application. The fuzzy rule is represented by a sequence of the form IFTHEN. A fuzzy IF-THEN rule associates a condition described using linguistic variables and fuzzy sets to an output or a conclusion. In this paper we reduce the electricity bill by managing the voltage fluctuation
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