Inclusion of Network Configurations in a Security Constrained Optimal Power Flow as a Mixed-Integer Quadratically Constrained Quadratic Program

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Original languageEnglish
Title of host publicationNEIS 2021 - Conference on Sustainable Energy Supply and Energy Storage Systems
EditorsDetlef Schulz
PublisherVDE Verlag GmbH
Pages236-241
Number of pages6
ISBN (electronic)9783800756513
Publication statusPublished - 2021
Event9th Conference on Sustainable Energy Supply and Energy Storage Systems, NEIS 2021 - Hamburg, Germany
Duration: 13 Sept 202114 Sept 2021

Publication series

NameNEIS 2021 - Conference on Sustainable Energy Supply and Energy Storage Systems

Abstract

The modifications of the power system due to fast-growing capacities of renewable energy sources combined with slow progress on network expansion measures more and more often lead to non-desirable grid congestions. Changing active and reactive power as a method of counteracting off-limit conditions influences grid losses significantly. Therefore, a minimization of the grid losses in compliance with the technical constraints needs to be approached. Other flexibilities, such as switching measures to change the network configurations also need to be taken into account. Therefore a quadratic optimization problem that contains integer variables to include these characteristics is presented as a reasonable approach. This paper compares mixed-integer quadratically constrained quadratic programs based on two different approaches.

Keywords

    Distributed slack, Grid loss minimization, Load flow, Mathematical model, mixed integer quadratic optimization, Non-convex function, Redispatch

ASJC Scopus subject areas

Sustainable Development Goals

Cite this

Inclusion of Network Configurations in a Security Constrained Optimal Power Flow as a Mixed-Integer Quadratically Constrained Quadratic Program. / Kluß, Leonard; Leveringhaus, Thomas; Sarstedt, Marcel et al.
NEIS 2021 - Conference on Sustainable Energy Supply and Energy Storage Systems. ed. / Detlef Schulz. VDE Verlag GmbH, 2021. p. 236-241 (NEIS 2021 - Conference on Sustainable Energy Supply and Energy Storage Systems).

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Kluß, L, Leveringhaus, T, Sarstedt, M & Hofmann, L 2021, Inclusion of Network Configurations in a Security Constrained Optimal Power Flow as a Mixed-Integer Quadratically Constrained Quadratic Program. in D Schulz (ed.), NEIS 2021 - Conference on Sustainable Energy Supply and Energy Storage Systems. NEIS 2021 - Conference on Sustainable Energy Supply and Energy Storage Systems, VDE Verlag GmbH, pp. 236-241, 9th Conference on Sustainable Energy Supply and Energy Storage Systems, NEIS 2021, Hamburg, Germany, 13 Sept 2021. <https://ieeexplore.ieee.org/document/9698273>
Kluß, L., Leveringhaus, T., Sarstedt, M., & Hofmann, L. (2021). Inclusion of Network Configurations in a Security Constrained Optimal Power Flow as a Mixed-Integer Quadratically Constrained Quadratic Program. In D. Schulz (Ed.), NEIS 2021 - Conference on Sustainable Energy Supply and Energy Storage Systems (pp. 236-241). (NEIS 2021 - Conference on Sustainable Energy Supply and Energy Storage Systems). VDE Verlag GmbH. https://ieeexplore.ieee.org/document/9698273
Kluß L, Leveringhaus T, Sarstedt M, Hofmann L. Inclusion of Network Configurations in a Security Constrained Optimal Power Flow as a Mixed-Integer Quadratically Constrained Quadratic Program. In Schulz D, editor, NEIS 2021 - Conference on Sustainable Energy Supply and Energy Storage Systems. VDE Verlag GmbH. 2021. p. 236-241. (NEIS 2021 - Conference on Sustainable Energy Supply and Energy Storage Systems).
Kluß, Leonard ; Leveringhaus, Thomas ; Sarstedt, Marcel et al. / Inclusion of Network Configurations in a Security Constrained Optimal Power Flow as a Mixed-Integer Quadratically Constrained Quadratic Program. NEIS 2021 - Conference on Sustainable Energy Supply and Energy Storage Systems. editor / Detlef Schulz. VDE Verlag GmbH, 2021. pp. 236-241 (NEIS 2021 - Conference on Sustainable Energy Supply and Energy Storage Systems).
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