Optimal Energy Scheduling in Smart Buildings with Electric Vehicle and Demand Response

Authors

  • Dariush Rashidi Zadeh Department of Electrical Engineering, Damavand Branch, Islamic Azad University, Damavand, IRAN
  • Ghasem Derkhshan Department of Electrical Engineering, Damavand Branch, Islamic Azad University, Damavand, IRAN
  • Seyed Mehdi Hakimi Department of Electrical Engineering, Damavand Branch, Islamic Azad University, Damavand, IRAN
  • Babak Abdi Department of Electrical Engineering, Damavand Branch, Islamic Azad University, Damavand, IRAN

Keywords:

Smart microgrid (SMG), energy management, smart home appliances, electrical vehicles

Abstract

In a number of countries, smart microgrid (SMG) technology is being exploited in the energy system infrastructure along with other generators such as electric and storage systems. In the framework of SMGs, communication links between generation and demand sides have been established to optimise energy consumption by means of economic signals. The framework of energy management for Smart Home appliances is presented in the present paper, taking account of appliance and electric vehicle participation. The approach to the energy schduling at day-ahead is defined as three strategies, such as optimum use of existing appliances, optimal production of electricity resources and optimal discharge and charging for electrical vehicles. Reducing energy generation costs and minimizing emissions of air pollutants are key objectives. Two case studies with the aim of reducing costs and emissions while maximizing system flexibility are taken into account to demonstrate preference and viability of home energy scheduling.

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Published

17-10-2023

Issue

Section

Articles

How to Cite

Zadeh, D. R. ., Derkhshan, . G. ., Hakimi, S. M. ., & Abdi, B. . (2023). Optimal Energy Scheduling in Smart Buildings with Electric Vehicle and Demand Response . International Journal of Integrated Engineering, 15(4), 301-310. https://penerbit.uthm.edu.my/ojs/index.php/ijie/article/view/14749