Optimal dispatch of large multi-carrier energy networks considering energy conversion functions

Date

2017

Authors

Hohmann, Marc
Evins, Ralph
Lygeros, John

Journal Title

Journal ISSN

Volume Title

Publisher

Energy Procedia

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.

Description

Keywords

Energy conversion, energy hub, multi-carrier energy systems, MILP, MPCC

Citation

Hohmann, M., Evins, R. & Lygeros, J. (2017). Optimal dispatch of large multicarrier energy networks considering energy conversion functions. Energy Procedia, 122 (September), 80-85. https://doi.org/10.1016/j.egypro.2017.07.311