Power Scheduling Method for Demand Response based on Home Energy Management System using Stochastic Process

Abstract

The increase in energy consumption, especially in residential consumers, means that the electrical system should grow at pair, in infrastructure and installed capacity, the energy prices vary to meet these needs, so this paper uses the methodology of demand response using stochastic methods such as Markov, to optimize energy consumption of residential users. It is necessary to involve customers in the electrical system because in this way it can be verified the actual amount of electric charge that exists on the network at a given time, and this helps electrical systems to become more reliable and efficient, providing security when an energy supply is given. In addition, to optimize energy consumption lower CO2 emissions is achieved for the environment by relying less on plants using fossil fuels, which implies a reduction in global pollution, an issue that is very important today. Although there are models for energy optimization, the reality is that the consumption at home is much more complex because it has variables such as: geographical location, architecture, materials used for the design, arrangement of windows, number of occupants, weather, and season. Therefore, to apply the response to the demand in residential settings, it is important to take into account basic criteria, such as maintaining the comfort of the user and in this way a sustained participation of demand response, having individual participation, it would require a great investment in technology of control and communication.