A Novel Method of Home Energy Management System for Cost Optimization Using Ga Based On Microcontroller

Formerly, energy had been inexpensive and management of energy was efficient and was limited to elementary considerations. In the current scenario, due to a rapid increase in demand, complexity of the electrical network, probability of contingency and electricity cost have equally increased. In the recent past, home management system is proven to be the best way to minimize these problems in an easier and smart way. This paper proposes a way to reduce the total electricity cost using Genetic Algorithm. In the proposed algorithm, each user requires only the knowledge of the price of the electricity, which depends on the aggregated load of other users, instead of the load profiles of individual users. In order for the users to coordinate with each other, we introduce a penalty term in the cost function, which penalizes large changes in the scheduling between successive iterations.