This work aims to analyze the impact of usage patterns of multiple and different types of Electric Vehicles (EVs) and schedulable home (Smart Homes) on system reliability and suggest measures to improve system reliability. Distributed Generation (DG) using renewables is a salient feature of a smart grid. However, Renewable Energy Sources (RES) are highly intermittent. During times when energy available from RESs and EVs is lower than the demand, energy may be purchased from the grid at Real Time Price (RTP). Demand Response (DR) is performed on two scales: Incentive-Based Demand Response (IBDR) on the consumer side and Price Based DR (PBDR) on the grid side. Controllable loads are shifted based on RTP of grid at that hour to ensure energy balance in the system. Part of the curtailable load can be shed based on the availability of power depending on the usage patterns of individual customers to ensure reliability. The novelty of this work is analysing the Impact of Usage Patterns with multiple and different types of EVs and implementing DR incorporating individual customer usage pattern for ensuring reliability of the system