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Title: Economic Dispatch for Microgrid Containing Electric Vehicles via Probabilistic Modelling

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.
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Conference: Presented at the 2015 North American Power Symposium (NAPS), 4-6 October 2015, Charlotte, North Carolina; Related Information: Proceedings of the 2015 North American Power Symposium (NAPS), 4-6 October 2015, Charlotte, North Carolina
Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE)
Research Org:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)
Country of Publication:
United States
24 POWER TRANSMISSION AND DISTRIBUTION; transportation electrification; plug-in hybrid electric vehicle; probabilistic distribution model; stochastic model; microgrid; economic dispatch