Publication Type : Conference Paper
Publisher : 2019 International Conference on Intelligent Computing and Control Systems (ICCS), IEEE,
Source : 2019 International Conference on Intelligent Computing and Control Systems (ICCS), IEEE, Madurai, India (2019)
Url : https://ieeexplore.ieee.org/document/9065381
Campus : Bengaluru
School : School of Engineering
Department : Electronics and Communication
Year : 2019
Abstract : The advent of vast technological developments has led to a drastic increase in the demand of stable electrical power supply. The direct consequence of this is the need to introduce efficient methods of transferring electricity to loads. These efficient methods are very advantageous in terms of reducing power loss and ensuring that the power supply is steady and meets with the demand. There are many solutions that result in efficient supply of power to the loads by means of rearrangement of loads and a loads' split such that each phase has a levelled load condition. There are various methods to perform this split of loads which also includes smart ways of levelling. Smart Load levelling is an automated and intelligent method of addressing the problem. This paper deals with one optimum solution that addresses the problem of uneven load distribution among the three phases of an Electrical Distribution Network. The solution is Automatic Load Levelling using Fuzzy Logic Approach. The system under consideration is that which consists of six loads with equal number distribution per phase (i.e. two loads per phase), and also generalized cases of N loads with equal number distribution per phase and unequal number distribution per phase. The methodology presented in the paper addresses all kinds of unlevelled conditions for a single phase AC system.
Cite this Research Publication : G. Shrinidhi, M, D. Subramania, Rajesh, G., and Dr. Sreeja Kochuvila, “Enhancement of Electrical Distribution System-Load levelling”, in 2019 International Conference on Intelligent Computing and Control Systems (ICCS), Madurai, India, 2019.