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Risk-Based Decision Support Model for the Optimal Operation of a Smart Energy Distribution Company for Enabling Emerging Resources
2019
Proceedings of the 52nd Hawaii International Conference on System Sciences
unpublished
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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
doi:10.24251/hicss.2019.147
fatcat:2uwckylfordvvldwivhtjcmbsm