LAPSE:2023.26490
Published Article
LAPSE:2023.26490
Power Flow Tracing for Active Congestion Management in Modern Power Systems
April 3, 2023
Abstract
Future power systems will be based on the more active role of distribution system and its cooperation with transmission system. The main issue, which will appear in the network, is the congestion. Congestion management will become one of the crucial elements of power system operation since Distributed Energy Resources (DERs) will be playing a more important role in power systems. Moreover, the evolution also changed the character of the systems to be more dynamic—the need for precise description of power flow and shares of particular nodes in line flows will emerge. This paper presents the potential solution to the congestion management problem by using the active role of the distribution system, which may dismantle the congestions by offering flexibility services. The tools which will be indispensable in this process will be Power Flow Tracing (PFT) methods. The main goal of this paper is to present modification of PFT method and its possible applications. The correctness of the Modified Inage Domain (MID) method is verified. The identification, verification and possible applications of the new MID method are also shown in the paper. It has been proven that the new method may be used in applications of allocation of transmission cost and in application in modern power systems for advanced congestion management.
Keywords
congestion management, PFT, PTDF
Suggested Citation
Baczyńska A, Niewiadomski W. Power Flow Tracing for Active Congestion Management in Modern Power Systems. (2023). LAPSE:2023.26490
Author Affiliations
Baczyńska A: Institute of Electrical Power Engineering, Lodz University of Technology, Stefanowskiego Street 18/22, 90-924 Lodz, Poland [ORCID]
Niewiadomski W: Institute of Electrical Power Engineering, Lodz University of Technology, Stefanowskiego Street 18/22, 90-924 Lodz, Poland [ORCID]
Journal Name
Energies
Volume
13
Issue
18
Article Number
E4860
Year
2020
Publication Date
2020-09-17
ISSN
1996-1073
Version Comments
Original Submission
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PII: en13184860, Publication Type: Journal Article
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LAPSE:2023.26490
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https://doi.org/10.3390/en13184860
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