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Optimized Power Flow Control to Minimize Congestion in a Modern Power System

Bodenstein, Max and Liere-Netheler, Ingo and Schuldt, Frank and von Maydell, Karsten and Hartmann, Alexander and Agert, Carsten (2023) Optimized Power Flow Control to Minimize Congestion in a Modern Power System. Energies, 16 (12), p. 4594. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/en16124594. ISSN 1996-1073.

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Official URL: https://www.mdpi.com/1996-1073/16/12/4594


The growing integration of renewable energy sources (RES) into the power system causes congestion to occur more frequently. In order to reduce congestion in the short term and to make the utilization of the power system more efficient in the long term, power flow control (PFC) in the transmission system has been proposed. However, exemplary studies show that congestion will increase also in the distribution system if the transmission system is expanded. For this reason, the potential of PFC to reduce congestion in a model of a real 110 kV distribution system is investigated. Several Unified Power Flow Controller (UPFC) devices are optimized in terms of their number and placement in the power system, their size, control parameters, and costs, by using a Parallel Tempering approach as well as a greedy algorithm. Two optimization variants are considered, one reducing the number of degrees of freedom by integrating system knowledge while the other does not. It is found that near a critical grid state and disregarding costs, PFC can reduce congestion significantly (99.13%). When costs of the UPFCs are taken into account, PFC can reduce congestion by 73.2%. A basic economic analysis of the costs reveals that the usage of UPFCs is profitable. Furthermore, it is found that the reduction in the solution space of the optimization problem leads to better results faster and that, contrary to expectations, the optimization problem is simple to solve. The developed methods allow not only for the determination of the optimal use of UPFCs to minimize congestion, but also to estimate their profitability.

Item URL in elib:https://elib.dlr.de/198301/
Document Type:Article
Title:Optimized Power Flow Control to Minimize Congestion in a Modern Power System
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Liere-Netheler, IngoUNSPECIFIEDhttps://orcid.org/0000-0001-8187-6861UNSPECIFIED
Schuldt, FrankUNSPECIFIEDhttps://orcid.org/0000-0002-4196-2025UNSPECIFIED
von Maydell, KarstenUNSPECIFIEDhttps://orcid.org/0000-0003-0966-5810UNSPECIFIED
Agert, CarstenUNSPECIFIEDhttps://orcid.org/0000-0003-4733-5257UNSPECIFIED
Date:8 June 2023
Journal or Publication Title:Energies
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In ISI Web of Science:Yes
Page Range:p. 4594
EditorsEmailEditor's ORCID iDORCID Put Code
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
Series Name:Power System Modeling and Control
Keywords:power flow control; distribution system; congestion management; renewable energy integration; curtailment; UPFC; FACTS; optimization; load flow analysis
HGF - Research field:Energy
HGF - Program:Energy System Design
HGF - Program Themes:Digitalization and System Technology
DLR - Research area:Energy
DLR - Program:E SY - Energy System Technology and Analysis
DLR - Research theme (Project):E - Energy System Technology
Location: Oldenburg
Institutes and Institutions:Institute of Networked Energy Systems > Energy System Technology
Deposited By: Jung, Dr. Daniel
Deposited On:24 Oct 2023 09:28
Last Modified:24 Oct 2023 09:28

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