Optimization and Scheduling Smart Energy Hub under Uncertainty of Distributed Energy Resources

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Roustaei, Mahmoud | 2017

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 49887 (05)
University: Sharif University of Technology
Department: Electrical Engineering
Advisor(s):
Abstract:
Besides increasing the installation of distributed generation plants, investigating multi-carrier energy systems leads recent studies to focus on Smart Energy Hub (S.E.Hub) systems. S.E.Hub systems incorporate several modules which optimal size and operation of each have already attracted a great deal of research. Uncertainty in the modelling of these modules is an imperative factor that has not been associated in S.E.Hub models properly. To build up a more precise framework for S.E.Hubs, here we present a stochastic model for electricity and natural-gas prices, electricity and heat demands, and emission costs. In this paper, S.E.Hub operates based on minimizing weighted sum function which consists of operational cost and greenhouse gases emissions. Simultaneously, by using conditional value at risk (CVaR) technique, we control operational risk of a S.E.Hub perfectly when electricity and natural-gas are converted to electrical, heating, and cooling energy in its output ports. Validation of proposed optimization method has been carried out by a simulation on a real office building in Tehran, Iran
Keywords:
Conditional Value at Risk ; Optimization ; Uncertainty ; Smart Energy Hub ; Combine Cooling Heating and Power (CCHP) ; Environmental Pollutant ; Energy Carrier

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