Optimizing microgrid using demand response and electric vehicles connection to microgrid

@article{Liasi2017OptimizingMU,
  title={Optimizing microgrid using demand response and electric vehicles connection to microgrid},
  author={Sahand Ghaseminejad Liasi and S. Bathaee},
  journal={2017 Smart Grid Conference (SGC)},
  year={2017},
  pages={1-7}
}
  • Sahand Ghaseminejad Liasi, S. Bathaee
  • Published 2017
  • Computer Science
  • 2017 Smart Grid Conference (SGC)
  • The classical modus operandi of electric energy systems try to keep demand and supply balanced at all times, but this cause high generation prices at peak hours and needs huge power capacity to comply peak demand, while in other hours this capacity remains useless. To avoid these issues, many researchers focus on peak shaving and demand response activities to improve system efficiency and reliability. In this paper, a game theory based method has been developed and simulated to show proficiency… CONTINUE READING
    8 Citations

    Figures, Tables, and Topics from this paper.

    Managing Vehicle-To-Grid Mobile Energy Network as Demand Response in Power Systems
    • B. K. Choudhury, S. Debbarma
    • Computer Science
    • 2018 2nd International Conference on Power, Energy and Environment: Towards Smart Technology (ICEPE)
    • 2018
    Effect of Tariff on Optimal Electric Vehicle Connection to the Grid in Residential Sector
    • 4
    On the Tariff Modification for the Future Electric Vehicle Connection to the Grid
    • 3
    An Improved Control Strategy for DVR in order to Achieve both LVRT and HVRT in DFIG Wind Turbine
    • 9
    An Improved Control Strategy for DFIG Low Voltage Ride-Through Using Optimal Demagnetizing method
    • 5

    References

    SHOWING 1-10 OF 23 REFERENCES
    Electric vehicles connection to microgrid effects on peak demand with and without demand response
    • 12
    Grid Power Peak Shaving and Valley Filling Using Vehicle-to-Grid Systems
    • 209
    Demand Side Management: Demand Response, Intelligent Energy Systems, and Smart Loads
    • 2,087
    • PDF
    Advanced DMS to manage active distribution networks
    • 48
    Scheduling direct load control to minimize system operation cost
    • 139
    Development of physical-based demand response-enabled residential load models
    • 212
    • PDF