Authors: C Bharathi D Rekha V Vijayakumar
Publish Date: 2017/01/21
Volume: 93, Issue: 2, Pages: 481-502
Abstract
Electricity usage at electricity rush hour peak hour may vary from each and every service area such as industrial area commercial area and residential area Equalizing the power consumption in industry may lead to the utilization of power in other service areas in an efficient way Although industries have comparably lesser number of power consuming device types than other service areas the power consumption is quite high To meet the demands rising in the industry shiftable loads devices can be redistributed equally to all the working time slots based on the average power utilization It can be done in a flexible manner by shaping the loads using Demand Side Management DSM technique in Smart Grid The main objective is to minimize the power utilization during the electricity rush hour by effectively distributing the power available during offpeak hour Evolutionary algorithm can be well adapted to problems where optimization is the core criteria Any maximization or minimization problem can be solved efficiently using evolutionary algorithm Hence to obtain the optimized fitness function of load redistribution in industry Genetic Algorithm in Demand Side Management GADSM is chosen and it has benefited with an overall reduction of 2191 which is very remarkable In addition to this the evaluation of the fitness function using GADSM is carried out in other two industrial dataset models steel plant and wind power plant which is unavailable so far in the literature
Keywords: