Optimal dispatch of large multi-carrier energy networks considering energy conversion functions
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Author / Producer
Date
2017-09
Publication Type
Conference Paper
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yes
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Abstract
An integrated coordination of multi-carrier energy networks including gas, heating, cooling and electricity can increase the flexibility, efficiency and sustainability of energy systems. The optimal dispatch of such systems is complicated by the non-convex nature of their energy conversion processes. Although these processes can be represented in mixed-integer linear programmes, real-time constraints of an online dispatcher may not be satisfied. In this paper, two approaches for alleviating this problem are developed and compared: one is based on a relaxed mixed-integer linear formulation and the other on mathematical optimization with complementarity constraints. Simulation results on realistic systems demonstrate that both approaches solve large multi-carrier dispatch problems efficiently. The mathematical optimization with complementarity constraints is computationally less intensive but the relaxed mixed-integer linear formulation is numerically more robust.
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Publication status
published
External links
Book title
CISBAT 2017 International Conference Future Buildings & Districts – Energy Efficiency from Nano to Urban Scale
Journal / series
Volume
122
Pages / Article No.
80 - 85
Publisher
Elsevier
Event
International Conference on Future Buildings & Districts – Energy Efficiency from Nano to Urban Scale (CISBAT 2017)
Edition / version
Methods
Software
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Date collected
Date created
Subject
Energy conversion; energy hub; multi-carrier energy systems; MILP; MPCC