The invention of Smart Grid (SG) have revolutionized the traditional electricity consumption pattern as well as
distribution. The technology of communication and information
have been involved in almost every domain so for Smart Grids.
Production of electricity is not cheap, hence with the help of
information and technology, Smart Meters (SM) play vital role
to control, manage and perform optimization to utilize the electric
power efficiently on consumer side and called Demand Side Management (DSM). In the proposed research paper, a Home Energy
Management System (HEMS) have been proposed to optimize the
home appliances to reduce the maximum cost. Elephant Herd
Optimization (EHO) algorithm have been implemented along
with our own hybrid of EHO algorithm. This EHO is hybrid
of Genetic Algorithm (GA) and called Genetic Elephant Herd
Optimization (GEHO). Results of simulation shows that GEHO
scheduled the appliance more efficiently to reduce maximum cost
when comparing with regular EHO and unscheduled schemes.
Peak to Average Ration (PAR) also have been observed. GEHO
and unscheduled have equal PAR due to scheduling of maximum
appliances on either sides but EHO have small PAR. For further
understanding of cost optimization different Operation Time
Interval (OTI) have been applied. Trends of load and cost with
all of three schemes have been discussed in detail.