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Risk-Based Decision Support Model for the Optimal Operation of a Smart Energy Distribution Company for Enabling Emerging Resources

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Title:Risk-Based Decision Support Model for the Optimal Operation of a Smart Energy Distribution Company for Enabling Emerging Resources
Authors:Sadati, S. M. B.
Moshtagh, J.
Shafie-khah, Miadreza
Catalao, Joao
Keywords:Decision Support for Complex Networks
Decision Analytics, Mobile Services, and Service Science
Risk; Decision Support; Optimal Operation; Distribution Company; Emerging Resources.
Date Issued:08 Jan 2019
Abstract:In this paper, a risk-based decision support model is developed for a smart energy distribution company, enabling emerging resources like renewable energy sources, electric vehicles and demand response programs in a holistic approach. Because of the inherent uncertainties of these emerging resources, the conditional value-at-risk (CVaR) method is adopted to restrict the distribution company’s risk. A risk aversion parameter sensitivity analysis is also provided on the optimal operation of the smart energy distribution company. The proposed model is thoroughly tested on a 15-bus distribution grid system, and the numerical results prove the effectiveness of the model in risk management.
Pages/Duration:8 pages
URI:http://hdl.handle.net/10125/59560
ISBN:978-0-9981331-2-6
DOI:10.24251/HICSS.2019.147
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Decision Support for Complex Networks


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