Sajjad Vakili - Faculty of Mechanics, Electrical Power and Computer, Science and Research Branch, Islamic Azad University, Tehran, Iran
Alireza Naminezhad - Faculty of Mechanical Engineering, Shahrood University of Technology, Shahrood, Iran
Mahmood Mehregan - Faculty of Mechanical Engineering, Shahrood University of Technology, Shahrood, Iran
Sajjad Malbosi - Faculty of Mechanics, Electrical Power and Computer, Science and Research Branch, Islamic Azad University, Tehran, Iran

Intelligence and Smart power grids with the Demand Side Management (DSM) strategies enables Demand Response Strategies (DRS) that are especially used in residential districts. Plug-in hybrid electric vehicles (PHEVs), as another sort of load in the power system, have recently become increasingly popular as they provide an opportunity for customer benefits to reduce greenhouse gas emissions. Based on the level of introduction of PHEVs in the parking lot, charging behaviors in an area cause a change in the load profile of the power system. Therefore, it is necessary to examine the effect of the introduced level of PHEV on the load profile due to the expected charging behavior of residents. PHEVs also offer a variety of opportunities, including the ability to use EVs as storage units via vehicle-to-grid (V۲G) options. In this paper, a joint evaluation of different DR techniques with a bilateral PHEV, energy storage system (ESS), and photovoltaic (PV) system is realized. Mixed integer Linear Programming (MILP) for a Home Energy Management (HEM) framework is proposed in this paper. A small-scale on-grid solar energy with a storage system and the V۲G potential with different DR programs are all integrated into a single HEM system to select the most efficient and economical DR program.

Smart Grid, Home Energy Management System, electric vehicle, Demand Response