Reducing Computational Load for Mixed Integer Linear Programming: An Example for a District and an Island Energy System

Reducing Computational Load for Mixed Integer Linear Programming: An Example for a District and an Island Energy System

The complexity of Mixed-Integer Linear Programs (MILPs) increases with the number of nodes in energy system models. An increasing complexity constitutes a high computational load that can limit the scale of the energy system model. Hence, methods are sought to reduce this complexity. In this paper,...

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Bibliographic Details
Main Authors: Timo Kannengießer, Maximilian Hoffmann, Leander Kotzur, Peter Stenzel, Fabian Schuetz, Klaus Peters, Stefan Nykamp, Detlef Stolten, Martin Robinius
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Energies
Subjects:
MILP
district optimization
energy system model
time series aggregation
typical periods
Online Access:https://www.mdpi.com/1996-1073/12/14/2825

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https://www.mdpi.com/1996-1073/12/14/2825

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