Robust Optimization of Energy Hubs Operation Based on Extended Affine Arithmetic

Antonio Pepiciello, Alfredo Vaccaro and Mario Mañana
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Antonio Pepiciello: Department of Engineering (DING), University of Sannio, Piazza Roma, 21, 82100 Benevento, Italy
Alfredo Vaccaro: Department of Engineering (DING), University of Sannio, Piazza Roma, 21, 82100 Benevento, Italy
Mario Mañana: Department of Electrical and Energy Engineering, University of Cantabria, Avda. Los Castros s/n, 39005 Santander, Spain

Energies, 2019, vol. 12, issue 12, 1-15

Abstract: Traditional energy systems were planned and operated independently, but the diffusion of distributed and renewable energy systems led to the development of new modeling concepts, such as the energy hub. The energy hub is an integrated paradigm, based on the challenging idea of multi-carrier energy systems, in which multiple inputs are conditioned, converted and stored in order to satisfy different types of energy demand. To solve the energy hub optimal scheduling problem, uncertainty sources, such as renewable energy production, price volatility and load demand, must be properly considered. This paper proposes a novel methodology, based on extended Affine Arithmetic, which enables the solving of the optimal scheduling problem in the presence of multiple and heterogeneous uncertainty sources. Realistic case studies are presented and discussed in order to show the effectiveness of the proposed methodology.

Keywords: power systems; energy hub; Affine Arithmetic; energy efficiency; multi carrier energy systems; optimal scheduling (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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