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Paper
Title

Stochastic Approach to Optimal Sizing of Battery Bank in an Isolated Microgrid with Electric Vehicles

Year: 1393
COI: PSC29_308
Language: EnglishView: 819
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Authors

Nima Ganjei - Department of Electrical and Computer Engineering, Science and Research Branch, Islamic Azad University Tehran, Iran
Babak Mozafari - Department of Electrical and Computer Engineering, Science and Research Branch, Islamic Azad University Tehran, Iran
Farid Adabi - Department of Electrical and Computer Engineering, Science and Research Branch, Islamic Azad University Tehran, Iran

Abstract:

In today’s sophisticated networks, installation of energy storage systems (ESS) is felt completely essential due to intermittent energy generation from renewable resources, stochastic behavior of loads and reliability issues. Current work addresses a new method based on stochastic unit commitment to size the battery energy storage systems (BESSs) optimally in microgrids (MGs) where plug-in electric vehicles (PEVs) will be used. Stochastic variables such as electric loads and wind speed are modeled with the corresponding probability density functions (PDFs). The optimization problem is then formulated as a stochastic mixed integer linear programming in GAMS environment. Numerical simulation and results are provided for a number of case studies to expose the model capabilities.

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Paper COI Code

This Paper COI Code is PSC29_308. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

https://civilica.com/doc/316205/

How to Cite to This Paper:

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Ganjei, Nima and Mozafari, Babak and Adabi, Farid,1393,Stochastic Approach to Optimal Sizing of Battery Bank in an Isolated Microgrid with Electric Vehicles,29th International Power System Conference,Tehran,https://civilica.com/doc/316205

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Scientometrics

The specifications of the publisher center of this Paper are as follows:
Type of center: Azad University
Paper count: 37,264
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