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

Publish Year: 1403
نوع سند: مقاله ژورنالی
زبان: English
View: 36

This Paper With 15 Page And PDF Format Ready To Download

  • Certificate
  • من نویسنده این مقاله هستم

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این Paper:

شناسه ملی سند علمی:

JR_EES-12-1_005

تاریخ نمایه سازی: 9 اردیبهشت 1403

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 (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.

Keywords:

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

Authors

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

مراجع و منابع این Paper:

لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :
  • Khodaei, M. Shahidehpour, and S. Bahramirad, “SCUC with hourly demand ...
  • W. Gellings, The Smart Grid: Enabling Energy Efficiency and Demand ...
  • G. Monyei, A. O. Adequmi, Demand side management potentials for ...
  • Duman AC, Erden HS, Gonul O, Guler O, A home ...
  • Steen, L. A. Tuan, O. Carlson, and L. Bertling, “Assessment ...
  • S. Kirschen, "Demand - side view of electricity markets," IEEE ...
  • S. Kirschen, G. Strbac, P. Cumperayot, and D. Mendes,"Factoring the ...
  • Eskom, IDM, Integrated Demand Management (۲۰۱۹).https://www.eskomidm.co.z ...
  • de Angelis, M. Boaro, S. Squartini, F. Piazza, and Q. ...
  • Li and X. P. Zhang, “Modeling of plug-in hybrid electric ...
  • Saele and O. S. Grande, “Demand response from household customers: ...
  • Hlalele TG, Zhang J, Naidoo RM, Bansal RC, Multi-Objective Economic ...
  • Dorotic, M. Ban, T. Puksec, N. Duic, Impact of wind ...
  • Aalami and G. Reza Yousefi, “Demand Response model considering EDRP ...
  • A Aalami, M. Parsa moghaddam,G.R Yousefi “Modeling and prioritizing demand ...
  • Javaid, N., Naseem, M., Babar, M., Mahmood, D., Ahmed, S., ...
  • Zhao, S. Kucuksari, E. Mazhari, and Y. J. Son, “Integrated ...
  • M. Tsui and S. C. Chan, “Demand response optimization for ...
  • J. Chua, S. K. Chou, W. M. Yang, and J. ...
  • Restegar, M. F. Firuzabad, and F. Aminifar, “Load commitment in ...
  • Pipattanasomporn, M. Kuzlu, and S. Rahman, “An algorithm for intelligent ...
  • Kuzlu, M. Pipattanasomporn, and S. Rahman, “Hardware demonstration of a ...
  • H. Imani, M. J. Ghadi, S. Ghavidel, L. Li, Demand ...
  • Afzalan, F. Jazizadeh, Residential loads fexibility potential for demand response ...
  • Erdinc, “Economic impacts of small-scale own generating and storage units, ...
  • Palensky and D. Dietrich, “Demand side management: Demand response, intelligent ...
  • Paterakis, N. G., Erdinç, O., & Catalão, J. P. S. ...
  • Hu and F. Li, “Hardware design of smart home energy ...
  • Missaoui, H. Joumaa, S. Ploix, and S. Bacha, “Managing energy ...
  • P. Odeh, D. Watts, Impacts of wind and solar spatial ...
  • Borlease, Smart Grids: Infrastructure, Technology and Solutions.Boca Raton, FL, USA: ...
  • Shao, M. Pipattanasomporn, and S. Rahman, “Demand response as a ...
  • Sattarpour, T., Nazarpour, D., & Golshannavaz, S. (۲۰۱۸). A multi-objective ...
  • Sharifi, A. H., & Maghouli, P. (۲۰۱۹). Energy management of ...
  • Nan, M. Zhou, G. Li, Optimal residential community demand response ...
  • Perumal, A. R. Ramli, and C. Y. Leong, “Design and ...
  • Tom, J., Mastani, M., Panchabikesan, K., Sun, Y., Haghighat, F., ...
  • Su, H. R. Eichi, W. Zeng, and M. Y Chow, ...
  • Xuan Hou, Jun Wang, Peng Wang, Tao Wang : Smart Home ...
  • Li and S. Hong, “User-expected price-based demand response algorithm for ...
  • Chen, T. Wei, and S. Hu, “Uncertainty-aware household appliance scheduling ...
  • Chen, L. Wu, and Y. Fu, “Real-time price-based demand response ...
  • نمایش کامل مراجع