• EBADOLLAH AMOUZAD MAHDIRAJI Department of Engineering, Sari Branch, Islamic Azad University, Sari, Iran
  • MOJTABA SEDGHI AMIRI Neka Power Generation Management Company


Monte Carlo algorithm, reliability improvement, optimal combination, electric vehicles


Microgrids are a new generation of small-scale power systems that can meet the needs of their subscribers independently of the main power grid. One of the features of these systems is the possibility of aggregating scattered products in the field of renewable energy, with probabilistic and oscillating nature, which makes it necessary to check the microgrid reliability and ensure the reliability, and if necessary, Adopts ways to improve it. In this paper, we try to optimize the combination of distributed generation and electric vehicles by using probabilistic methods to improve the microgrid reliability. Optimizing the combination of power generation with electric vehicles to improve microgrid reliability, providing a new way of planning charge and discharge of vehicles, and modeling power injection into microgrids are some of the innovations in this paper.


Asher, Z.D., Baker, D.A., Bradley, T.H. (2017): Prediction error applied to hybrid electric vehicle optimal fuel economy. – IEEE Transactions on Control Systems Technology 26(6): 2121-2134.

Arefifar, S.A., Mohamed, Y.A.R.I. (2014): DG mix, reactive sources and energy storage units for optimizing microgrid reliability and supply security. – IEEE Transactions on Smart Grid 5(4): 1835-1844.

Arefifar, S.A., Yasser, A.R.M., El-Fouly, T.H. (2013): Optimum microgrid design for enhancing reliability and supply-security. – IEEE Transactions on Smart Grid 4(3): 1567-1575.

Arefifar, S.A., Mohamed, Y.A.R.I., El-Fouly, T.H. (2012): Supply-adequacy-based optimal construction of microgrids in smart distribution systems. – IEEE transactions on smart grid 3(3): 1491-1502.

Billinton, R., Chen, H., Ghajar, R. (1996): Time-series models for reliability evaluation of power systems including wind energy. – Microelectronics Reliability 36(9): 1253-1261.

Bioki, M.H., Jahromi, M.Z., Rashidinejad, M. (2013): A combinatorial artificial intelligence real-time solution to the unit commitment problem incorporating V2G. – Electrical Engineering 95(4): 341-355.

CleanTechnica Official Portal (2021): Clean power. – CleanTechnica Official Portal. Available on:


Darabi, Z., Ferdowsi, M. (2012): Impact of plug-in hybrid electric vehicles on electricity demand profile. – In Smart Power Grids 2011 30p.

Esmaeilian, H.R., Bioki, M.H., Rashidinejad, M., Abdollahi, A. (2012): Economic-Driven Measure in Constructing a V2G Parking Lot from DisCo. perspective. – International Journal of Economics and Management Engineering (IJEME) 2(3): 117-124.

Fan, Z. (2012): A distributed demand response algorithm and its application to PHEV charging in smart grids. – IEEE Transactions on Smart Grid 3(3): 1280-1290.

Giorsetto, P., Utsurogi, K.F. (1983): Development of a new procedure for reliability modeling of wind turbine generators. – IEEE transactions on power apparatus and systems 1: 134-143.

He, Y., Venkatesh, B., Guan, L. (2012): Optimal scheduling for charging and discharging of electric vehicles. – IEEE transactions on smart grid 3(3): 1095-1105.

Huang, Y., Wang, H., Khajepour, A., He, H., Ji, J. (2017): Model predictive control power management strategies for HEVs: A review. – Journal of Power Sources 341: 91-106.

Kempton, W., Tomić, J. (2005): Vehicle-to-grid power implementation: From stabilizing the grid to supporting large-scale renewable energy. – Journal of power sources 144(1): 280-294.

Le Cam, L. (1986): The central limit theorem around 1935. – Statistical science 13p.

Moharil, R.M., Kulkarni, P.S. (2010): Reliability analysis of solar photovoltaic system using hourly mean solar radiation data. – Solar Energy 84(4): 691-702.

Moharil, R.M., Kulkarni, P.S. (2009): A case study of solar photovoltaic power system at Sagardeep Island, India. – Renewable and Sustainable Energy Reviews 13(3): 673-681.

NDAWN Center (2021): The wind turbine data. – North Dakota Agricultural Weather Network Official Portal. Available on:


Nojavan, S., Jalali, M., Zare, K. (2014): Optimal allocation of capacitors in radial/mesh distribution systems using mixed integer nonlinear programming approach. – Electric Power Systems Research 107: 119-124.

Pillai, J.R., Bak-Jensen, B. (2010): Impacts of electric vehicle loads on power distribution systems. – In 2010 IEEE Vehicle Power and Propulsion Conference 6p.

Rezaei, A., Burl, J.B., Rezaei, M., Zhou, B. (2018): Catch energy saving opportunity in charge-depletion mode, a real-time controller for plug-in hybrid electric vehicles. – IEEE Transactions on Vehicular Technology 67(11): 11234-11237.

Rezaei, A., Burl, J.B., Solouk, A., Zhou, B., Rezaei, M., Shahbakhti, M. (2017a): Catch energy saving opportunity (CESO), an instantaneous optimal energy management strategy for series hybrid electric vehicles. – Applied Energy 208: 655-665.

Rezaei, A., Burl, J.B., Zhou, B., Rezaei, M. (2017b): A new real-time optimal energy management strategy for parallel hybrid electric vehicles. – IEEE Transactions on Control Systems Technology 27(2): 830-837.

Shao, S., Pipattanasomporn, M., Rahman, S. (2012): Grid integration of electric vehicles and demand response with customer choice. – IEEE transactions on smart grid 3(1): 543-550.

Vertas Company Official Portal (2021): V100-2.0MW. – Vertas Company Official Portal. Available on:


Wang, S., Li, Z., Wu, L., Shahidehpour, M., Li, Z. (2013): New metrics for assessing the reliability and economics of microgrids in distribution system. – IEEE transactions on power systems 28(3): 2852-2861.

Wind Industry Official Portal (2021): Clean energy. – Wind Industry Official Portal. Available on:


Wong, P., Albrecht, P., Billinton, R., Chen, Q., Fong, C., Haddad, S., LI, W., Mukerji, R., Patton, D., Schneider, A., Shahidehpour, M. (1999): A report prepared by the Reliability Test System Task Force of the Application of Probability Methods Subcommittee. – IEEE Transactions on Power Apparatus and Systems 98(6): 2047-2054.




How to Cite

AMOUZAD MAHDIRAJI, E., & SEDGHI AMIRI, M. . (2021). OPTIMIZATION OF ELECTRIC VEHICLES ALONG WITH POWER GENERATION UNITS TO IMPROVE MICROGRID RELIABILITY. Quantum Journal of Engineering, Science and Technology, 2(2), 1–15. Retrieved from https://qjoest.com/index.php/qjoest/article/view/14