Hoersch, Jonas, Ronellenfitsch, Henrik, Witthaut, Dirk ORCID: 0000-0002-3623-5341 and Brown, Tom (2018). Linear optimal power flow using cycle flows. Electr. Power Syst. Res., 158. S. 126 - 136. LAUSANNE: ELSEVIER SCIENCE SA. ISSN 1873-2046
Full text not available from this repository.Abstract
Linear optimal power flow (LOPF) algorithms use a linearization of the alternating current (AC) load flow equations to optimize generator dispatch in a network subject to the loading constraints of the network branches. Common algorithms use the voltage angles at the buses as optimization variables, but alternatives can be computationally advantageous. In this article we provide a review of existing methods and describe a new formulation that expresses the loading constraints directly in terms of the flows themselves, using a decomposition of the network graph into a spanning tree and closed cycles. We provide a comprehensive study of the computational performance of the various formulations, in settings that include computationally challenging applications such as multi-period LOPF with storage dispatch and generation capacity expansion. We show that the new formulation of the LOPF solves up to 7 times faster than the angle formulation using a commercial linear programming solver, while another existing cycle-base formulation solves up to 20 times faster, with an average speed-up of factor 3 for the standard networks considered here. If generation capacities are also optimized, the average speed-up rises to a factor of 12, reaching up to factor 213 in a particular instance. The speed-up is largest for networks with many buses and decentral generators throughout the network, which is highly relevant given the rise of distributed renewable generation and the computational challenge of operation and planning in such networks. (C) 2018 Elsevier B.V. All rights reserved.
Item Type: | Journal Article | ||||||||||||||||||||
Creators: |
|
||||||||||||||||||||
URN: | urn:nbn:de:hbz:38-188885 | ||||||||||||||||||||
DOI: | 10.1016/j.epsr.2017.12.034 | ||||||||||||||||||||
Journal or Publication Title: | Electr. Power Syst. Res. | ||||||||||||||||||||
Volume: | 158 | ||||||||||||||||||||
Page Range: | S. 126 - 136 | ||||||||||||||||||||
Date: | 2018 | ||||||||||||||||||||
Publisher: | ELSEVIER SCIENCE SA | ||||||||||||||||||||
Place of Publication: | LAUSANNE | ||||||||||||||||||||
ISSN: | 1873-2046 | ||||||||||||||||||||
Language: | English | ||||||||||||||||||||
Faculty: | Unspecified | ||||||||||||||||||||
Divisions: | Unspecified | ||||||||||||||||||||
Subjects: | no entry | ||||||||||||||||||||
Uncontrolled Keywords: |
|
||||||||||||||||||||
Refereed: | Yes | ||||||||||||||||||||
URI: | http://kups.ub.uni-koeln.de/id/eprint/18888 |
Downloads
Downloads per month over past year
Altmetric
Export
Actions (login required)
View Item |