Economic Dispatch for Microgrid Containing Electric Vehicles via Probabilistic Modelling

Eduard Muljadi, Yin Yao, Wenzhong Gao, James Momoh

Research output: Contribution to conferencePaper

6 Scopus Citations


In this paper, an economic dispatch model with probabilistic modeling is developed for microgrid. Electric power supply in microgrid consists of conventional power plants and renewable energy power plants, such as wind and solar power plants. Due to the fluctuation of solar and wind plants' output, an empirical probabilistic model is developed to predict their hourly output. According to different characteristics of wind and solar plants, the parameters for probabilistic distribution are further adjusted individually for both power plants. On the other hand, with the growing trend of Plug-in Electric Vehicle (PHEV), an integrated microgrid system must also consider the impact of PHEVs. Not only the charging loads from PHEVs, but also the discharging output via Vehicle to Grid (V2G) method can greatly affect the economic dispatch for all the micro energy sources in microgrid. This paper presents an optimization method for economic dispatch in microgrid considering conventional, renewable power plants, and PHEVs. The simulation results reveal that PHEVs with V2G capability can be an indispensable supplement in modern microgrid.
Original languageAmerican English
Number of pages6
StatePublished - 2015
Event2015 North American Power Symposium (NAPS) - Charlotte, North Carolina
Duration: 4 Oct 20156 Oct 2015


Conference2015 North American Power Symposium (NAPS)
CityCharlotte, North Carolina

Bibliographical note

See NREL/CP-5D00-64835 for preprint

NREL Publication Number

  • NREL/CP-5D00-66321


  • economic dispatch
  • microgrid
  • plug-in hybrid electric vehicle
  • probabilistic distribution model
  • stochastic model
  • transportation electrification


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