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A probabilistic unit commitment model for optimal operation of plug-in electric vehicles in microgrid

Moghaddas Tafreshi, Seyed Masoud, Ranjbarzadeh, Hassan, Jafari, Mehdi and Khayyam, Hamid 2016, A probabilistic unit commitment model for optimal operation of plug-in electric vehicles in microgrid, Renewable and sustainable energy reviews, vol. 66, pp. 934-947, doi: 10.1016/j.rser.2016.08.013.

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Title A probabilistic unit commitment model for optimal operation of plug-in electric vehicles in microgrid
Author(s) Moghaddas Tafreshi, Seyed Masoud
Ranjbarzadeh, Hassan
Jafari, Mehdi
Khayyam, Hamid
Journal name Renewable and sustainable energy reviews
Volume number 66
Start page 934
End page 947
Total pages 14
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2016-12
ISSN 1364-0321
1879-0690
Keyword(s) Microgrid
Uncertainty Modelling
Unit commitment
Plug-in electric vehicles
Vehicle to grid
Probabilistic modelling
Stochastic modelling
Particle swarm optimization
Science & Technology
Technology
GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY
Energy & Fuels
Science & Technology - Other Topics
RENEWABLE ENERGY-SOURCES
MANAGEMENT
HYBRID
UNCERTAINTY
INTEGRATION
SYSTEM
OPTIMIZATION
Summary This paper presents a probabilistic Unit Commitment (UC) model for optimal scheduling of wind power, load forecasts and controllability of vehicles in a microgrid using a stochastic programming framework. The microgrid is made up of microturbines, wind turbine, boiler, Plug-in Electric Vehicles (PEVs), thermal storage and battery storage. The proposed model will help the power grid operators with optimal day- ahead planning even with variable operating conditions in respect of load forecasts, controllability of vehicles and wind generation. A set of valid scenarios is assigned for the uncertainties of wind sources, load and PEVs and objective function in the form of expected value. The objective function is to maximize the expected total profit of the UC schedule for the set of scenarios from the viewpoint of microgrid management. The probabilistic unit commitment optimizes the objective function using Particle Swarm Optimization (PSO) algorithm. In order to verify the effectiveness of the stochastic modelling and make a comparison with a simple deterministic one, a typical microgrid is used as a case study. The results can be used to evaluate the effect of integration of PEVs on the economic operation of the microgrid. The results also confirm the necessity to consider the key uncertainties of the microgrid; otherwise the results could overly misrepresent the real world operation of the system.
Language eng
DOI 10.1016/j.rser.2016.08.013
Field of Research 099999 Engineering not elsewhere classified
09 Engineering
Socio Economic Objective 0 Not Applicable
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2016, Elsevier Ltd
Persistent URL http://hdl.handle.net/10536/DRO/DU:30089595

Document type: Journal Article
Collection: Institute for Frontier Materials
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