OPTIMAL COMMUNAL DEMAND RESPONSE PROGRAM USING BATTLE ROYALE OPTIMIZATION ALGORITHM

Abstract

Presently, power distribution structure depends on conventional design of power grid and deployment which is not fulfilling the energy requirement of the 21stcentury. As the electrical system is shifting from conventional power system to smart grid system there is more need of developing demand response methods that meets power generation and demand in more efficient way. This study is about analyzing and identifying the decreased power cost by overseeing demand response in terms of consumer appliances and changing of power consumption in peak hours and off-peak hours. There are many strategies that provide monitoring control over the consumption of power and loads with the purpose of cost reduction in the utility bills. The implementation of the advanced technology inside grids, in the transmission systems, generation and distribution of power, is providing solutions of power consumption problems. This leads to the expansion of energy demand worldwide. Loads addition and more power consumption is one of the significant issues that deter the energy efficiency and performance of smart grid systems. So far, the power demand is vesting huge percent of electrical energy consumption. Therefore, demand side load systems known as home energy management systems (HEMS) at communal level, are being executed under the new smart grid idea. The observation of the results of home energy load systems is generated by the distinctive load profiles showing different parameters including, appliances power utilization, environment protection, number of consumers in community and types of appliances that are being used in residential area. This research intends to give a better solution to minimize cost of power and user comfort by observation and assessment of demand side load based on a novel Battle Royale Optimization Algorithm (BROA). In BROA, loads are considered as soldiers, comparison of soldiers and finally the best soldier is opted as elite among the total number of soldiers at the termination level.