Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5444799 | Energy Procedia | 2017 | 6 Pages |
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.
Related Topics
Physical Sciences and Engineering
Energy
Energy (General)
Authors
Marc Hohmann, Ralph Evins, John Lygeros,