Article: A comprehensive analysis of smart home energy management system

Published on: 2019-04-30 | Updated on: 2019-09-02

Journal of Autonomous Intelligence

Content:With the rapid demand of electric energy, and the increase of energy price, there is an increasing proportion in the electricity generation of renewable energy. Various environmental restrictions also limit the electricity generating from traditional energy sources. All of these challenges have prompted the power industry to shift its focus to smart demand side management technology.

The development of smart grid technology provides consumers with the opportunity to schedule their own energy use models. The main purpose of the entire exercise is to lower energy efficiency and reduce the peak-to-average ratio (PAR) of electricity. The two-way flow of information between power utilities and consumers in smart grids opens up new areas of application. The main component is  an Energy Management Controller (EMC) that collects demand response (DR), ie real-time energy prices, from various devices through a home gateway (HG). By utilizing DR information, EMC has achieved the best mode of energy scheduling. This optimal energy plan is provided to various devices via HG. The rooftop photovoltaic system is used as a local power generation microgrid in the home and can be integrated into the national grid. Under this energy management plan, whenever solar power exceeds the energy needs of household appliances, it will provide additional power to the grid. Therefore, different devices in the consumer’s premises perform in the most efficient way.

Tesfahun Molla, Baseem Khan and Pawan Singh have analyzed the optimization technology of smart home energy management system , which was published in the journal Autonomous Intelligence. This analysis provides a comprehensive review of different smart home appliance optimization technologies based on mathematics and Heuristic technology. Analysis also shows that smart home energy management plays an  important role in the smart grid environment. It handles demand response and management techniques. The main goal of the home energy management problem is to optimize the timetable of various household appliances to minimize overall energy consumption.