Peak Load Shaving Model Based on Individual's Habit

Smart Grid is supposed to play an important role in future energy management. In smart grid, Demand Side Management (DSM) is one of the main areas which is under focus of researchers in order to solve the classical problem of peak demand management. In this paper, we have proposed a Habit Based DSM (HBDSM) model for peak load shaving. Proposed method is based on individuals habit which is modeled using Markov Chain. The main focus of the work is to minimize the cost by optimizing battery consumption using Equal Interval Search algorithm in order to minimize energy consumption from the grid and so as to shave the demand curve. Simulation results prove the effectiveness of the proposed model.