Optimal Operation of Multi-Carrier Energy Networks Considering Uncertain Parameters and Thermal Energy Storage

Morteza Nazari-Heris, Behnam Mohammadi-Ivatloo and Somayeh Asadi
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Morteza Nazari-Heris: Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz 5166616471, Iran; mun369@psu.edu
Behnam Mohammadi-Ivatloo: Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz 5166616471, Iran; mun369@psu.edu
Somayeh Asadi: Department of Architectural Engineering, Pennsylvania State University,104 Engineering Unit A, State College, PA 16802, USA; sxa51@psu.edu

Sustainability, 2020, vol. 12, issue 12, 1-20

Abstract: The coordination of energy carriers in energy systems has significant benefits in enhancing the flexibility, efficiency, and sustainability characteristics of energy networks. These benefits are of great importance for multi-carrier energy networks due to the complexity of obtaining optimal dispatch, considering the non-convex nature of their energy conversion. The current study proposes a robust operation model for the coordination of multi-carrier systems, including electricity, gas, heat, and water carriers concerning thermal energy storage technology. Thermal energy storage is for storing extra heat generated by combined heat and power (CHP) plants and boilers in time intervals with low heat demand on the system and discharging it when required. Energy network operators should have the capability to manage uncertain energy loads to study the impact of load variation on the decision-making process in network operation. Accordingly, this study employs an information gap decision theory (IGDT) method to model the uncertainty of the power demand in optimal system operation. By applying the IGDT approach, the operator of the energy system can use the appropriate methodology to obtain a robust optimal operation. Such a modeling approach helps the operator to make suitable decisions about probable variations in power load. The introduced model is applied in a test system for evaluating the performance and effectiveness of the introduced scheme.

Keywords: multi-carrier energy network; thermal energy storage technology; information gap decision theory; load uncertainty; robust decision-making; energy efficiency (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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