Please use this identifier to cite or link to this item: https://doi.org/10.15480/882.2117
This item is licensed with a CreativeCommons licence https://creativecommons.org/licenses/by/4.0/
Publisher DOI: 10.3390/en12061003
Title: Effect of different interval lengths in a rolling horizon MILP unit commitment with non-linear control model for a small energy system
Language: English
Authors: Erichsen, Gerrit 
Zimmermann, Tobias 
Kather, Alfons 
Keywords: mixed integer linear programming;unit commitment;rolling horizon;slands;nonlinear control;MILP models;renewable energies;long-term storage
Issue Date: 14-Mar-2019
Publisher: Multidisciplinary Digital Publishing Institute
Source: Energies 12 (6): 1003 (2019)
Journal or Series Name: Energies 
Abstract (english): In this paper, a fixed electricity producer park of both a short- and long-term renewable energy storage (e.g., battery, power to gas to power) and a conventional power plant is combined with an increasing amount of installed volatile renewable power. For the sake of simplicity, the grid is designed as a single copper plate with island restrictions and constant demand of 1000 MW; the volatile input is deducted from scaled 15-min input data of German grid operators. A mixed integer linear programming model is implemented to generate an optimised unit commitment (UCO) for various scenarios and configurations using CPLEX® as the problem solver. The resulting unit commitment is input into a non-linear control model (NLC), which tries to match the plan of the UCO as closely as possible. Using the approach of a rolling horizon the result of the NLC is fed back to the interval of the next optimisation run. The problem’s objective is set to minimise CO2 emissions of the whole electricity producer park. Different interval lengths are tested with perfect foresight. The results gained with different interval lengths are compared to each other and to a simple heuristic approach. As non-linear control model a characteristic line model is used. The results show that the influence of the interval length is rather small, which leads to the conclusion that realistic forecast lengths of two days can be used to achieve not only a sufficient quality of solutions, but shorter computational times as well.
URI: http://hdl.handle.net/11420/2182
DOI: 10.15480/882.2117
ISSN: 1996-1073
Other Identifiers: doi: 10.3390/en12061003
Institute: Energietechnik M-5 
Type: (wissenschaftlicher) Artikel
Funded by: Deutsche Forschungsgemeinschaft
Project: Projektnummer 392323616 
Appears in Collections:Publications (tub.dok)

Files in This Item:
File Description SizeFormat
energies-12-01003.pdf1,54 MBAdobe PDFView/Open
Show full item record

Page view(s)

19
Last Week
3
Last month
checked on Apr 21, 2019

Download(s)

12
checked on Apr 21, 2019

Google ScholarTM

Check

Export

This item is licensed under a Creative Commons License Creative Commons