Abstract
Energy management in home is one of the major issue now-a-days. There are different types of load like shiftable, non-shiftable, seasonal loads and auxiliary loads. In this research article, an energy management system is proposed for home which helps to schedule different loads on the basis of their types and price. It will help to minimize the cost of electricity by shifting load from peak time to off peak time. Emission will be minimized by charging penalty by adopting multi-objective optimization. Each source of energy has its own price of penalty with respect to time. Penalty is charged to minimize the use of sources like commercial supply and diesel generators which emits hazardous gases. In proposed model, user will get electricity from commercial supply, diesel generators and solar panels to provide continuous supply of electricity to fulfill the energy demand. The shiftable loads will be shifted from peak time to off peak time and higher price source to lower price source to minimize the overall price. In this research, we have proposed an EEIR (Economically Effective and Intelligently Responsive) HEMS (Home Energy Management System) by solving multi-objective optimization problem from BILP (Binary Integer Linear Programming) using branch and bound algorithm.
Highlights
Energy management in home is one of the major issue now-a-days
We has proposed an energy management system to minimize the cost of energy and greenhouse gas emission as well
Countering the problems of [2], an ICHEMS (Intelligent Cloud Home Energy Management System) was proposed in [3], which allows system loads to shift on priority basis at low price
Summary
We has proposed an energy management system to minimize the cost of energy and greenhouse gas emission as well Solution to this problem is proposed as a system model for load management in building which introduces demand side management in smart grid. One of the proposed model [1] has three main modules; load balancing, admission control and demand response management It enables interconnection between different components and integration of different energy sources with-in the system. The user can schedule their load based on the price of energy by development of smart grid. In this research article economically effective and intelligently responsive HEMS is proposed to minimize the energy cost by scheduling different loads like shiftable loads on the basis of different available energy resources.
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