Home energy management system with Plug-in hybrid electric vehicles, energy storage system, and photovoltaic system commitment by considering different incentive and price-based demand response programs in smart grids

Vakili, Sajjad; Naminezhad, Alireza; Mehregan, Mahmood; Malbosi, Sajjad

doi:10.22059/ees.2023.1998806.1419

Home energy management system with Plug-in hybrid electric vehicles, energy storage system, and photovoltaic system commitment by considering different incentive and price-based demand response programs in smart grids

Document Type : Research Paper

Authors

¹ Faculty of Mechanics, Electrical Power and Computer, Science and Research Branch, Islamic Azad University, Tehran, Iran

² Faculty of Mechanical Engineering, Shahrood University of Technology, Shahrood, Iran

10.22059/ees.2023.1998806.1419

Abstract

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 (V2G) 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 V2G potential with different DR programs are all integrated into a single HEM system to select the most efficient and economical DR program.

Keywords

References

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