Please use this identifier to cite or link to this item: http://hdl.handle.net/11328/4430
Title: Opportunistic info-gap approach for optimization of electrical and heating loads in multi-energy systems in the presence of a demand response program
Authors: Vahid-Ghavidel, Morteza
Javadi, Mohammad S.
Santos, Sérgio F.
Gough, Matthew
Shafie-khah, Miadreza
Catalão, João P. S.
Keywords: Demand response
Energy-hub
Info-gap Theory
Distributed generation system
Risk management
Uncertainty
Issue Date: 3-Nov-2021
Publisher: IEEE
Citation: Vahid-Ghavidel, M., Javadi, M. S., Santos, S. F., Gough, M., Shafie-khah, M., & Catalão, J. P. S. (2021). Opportunistic info-gap approach for optimization of electrical and heating loads in multi-energy systems in the presence of a demand response program. In 2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), Bari, Italy, 7th-10th September 2021 (pp. 1-6). 10.1109/EEEIC/ICPSEurope51590.2021.9584597. Repositório Institucional UPT. http://hdl.handle.net/11328/4430
Abstract: There are significant changes occurring both in the electricity system and the natural gas system. These two energy carries can be combined to form what is known as an energy hub. These energy hubs can play a significant role in the energy system and thus understanding of their optimization, especially their costs, is important. This paper proposes a risk management framework for an energy-hub through the utilization of the information-gap decision theory (IGDT). The uncertainties introduced from the various load profiles, such as the electric and heating loads, are considered in this risk management framework. The modeled energy-hub consists of several distributed generation systems such as a micro-combined heat and power (μCHP), electric heat pump (EHP), electric heater (EH), absorption chiller (AC) and an energy storage system (ESS). A demand response (DR) program is also considered to shift a percentage of electric load away from the peak period to minimize the operational cost of the hub. A feasible test system is also applied to demonstrate the proposed model’s effectiveness.
URI: http://hdl.handle.net/11328/4430
ISBN: 978-1-6654-3613-7 (Electronic)
Appears in Collections:REMIT - Publicações em Livros de Atas Internacionais / Papers in International Proceedings



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.