Hybrid Microgrid Load Flow Management using Model Predictive Control

Authors

  • Fawad Azeem COMSATS University Islamabad Lahore Campus, Pakistan
  • Ali Mujtaba UNIVERSITY OF LAHORE
  • Saad Farooq UNIVERSITY OF LAHORE
  • Mouhyuddin Aizaz UNIVERSITY OF LAHORE

Keywords:

microgrid, model predictive control, pv system, wind generator, electric vehicle

Abstract

The intermittence of the renewable energy resources coupled with the declining fossil fuel reserves have led to the development of hybrid AC/DC microgrids that not only elevate the benefits of each subsystem, but also curtails the deficiencies of the subsystems. Hence there is a pressing need to explore hybrid microgrid with the help of advanced controllers and techniques to increase the reliability and efficiency of the system. In this paper, we have employed Model Predictive Control (MPC) to control the output of the generators and meet the requirements of the grid with residential, industrial and highly integrated electric vehicle load. The hybrid microgrid system, taken under study, comprises PV system, Wind generator and diesel generator. The capability of the MPC will be observed for a 12-hour duration, with events of the charging/discharging of the electric vehicles and variations in the generated power due to uncertainty in the levels of irradiance and wind speed.

Author Biographies

Fawad Azeem , COMSATS University Islamabad Lahore Campus, Pakistan

Dr. Fawad Azeem has over 11 years of experience in the field of Renewable Energy Research. Dr. Fawad has completed his Ph.D in Electrical Engineering with the core research area of renewable energy based microgrids. Dr. Fawad has authored 11 research publications and a  book chapter related to microgrids. Dr. Fawad has won a research grant as co-principal investigator on Microgrids Renewable Energy Penetration in Rural Communities in collaboration with School of Power Engineering South China University of Technology Guangzhou China. Dr. Fawad Azeem is also a master trainer of energy audits. Dr. Fawad has trained national and international students on Energy Audits, Hybrid Power Systems from Sri Lanka, Saudi Arabia and Nigeria. Dr. Fawad gained training on Hybrid Power Systems from School of Power Engineering, South China University of Technology Guangzhou China, GiZ German experts on Energy Audits, from CTCN, UNIDO on Energy Audits and on Green Buildings from International Finance Corporation

Ali Mujtaba , UNIVERSITY OF LAHORE

Mujtaba Ali received the B.Sc. and M.Sc. degrees in Electrical Engineering from University of Engineering and Technology, Lahore, Pakistan in 2012 and 2016 respectively. He is currently pursuing the Ph.D. degree from COMSATS University, Lahore, Pakistan. His research interests include the control and application of power systems and microgrids.

 

Saad Farooq, UNIVERSITY OF LAHORE

Saad Farooq received the B.S electrical engineering from University of Lahore in 2018 and M.S. degree in Electrical Engineering from COMSATS University Islamabad, Lahore campus in 2021. His research interests include Adaptive Neuro Fuzzy inference system, Artificial Neural Networks, Model predictive Control and nonlinear process control of solid particles in CFBC gasifier.         

 

Mouhyuddin Aizaz , UNIVERSITY OF LAHORE

His completed  Bachelor’s in electrical engineering from University of Engineering and Technology, Lahore. Currently, enrolled in Master of Science in Electrical Engineering from Comsats University Islamabad (Lahore Campus). His research interests include Electrical Power, Control Systems, and Electric Vehicles.

 

 

 

 

 

 

 

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Published

2021-10-27

How to Cite

Azeem , F. ., Mujtaba , A., Farooq, S., & Aizaz , M. (2021). Hybrid Microgrid Load Flow Management using Model Predictive Control. GLOBAL RESEARCH REVIEW, 1(3). Retrieved from https://grrjournal.org/index.php/GRR/article/view/43

Issue

Vol. 1 No. 3 (2021): JULY-SEPTEMBER 2021

Section

Articles