Optimal Placement of μ PMUs in Distribution Networks with Adaptive Topology Changes

Khaoula Hassini, Ahmed Fakhfakh and Faouzi Derbel ()
Additional contact information
Khaoula Hassini: Department of Electrical Engineering and Information Technology, Leipzig University of Applied Sciences, 04277 Leipzig, Germany
Ahmed Fakhfakh: Laboratory of Signals, Systems, Artificial Intelligence and Networks (SM@RTS), Digital Research Center of Sfax, Sfax 3018, Tunisia
Faouzi Derbel: Department of Electrical Engineering and Information Technology, Leipzig University of Applied Sciences, 04277 Leipzig, Germany

Energies, 2023, vol. 16, issue 20, 1-27

Abstract: With the increasing integration of energy sources and the growing complexity of distribution networks, it is crucial to monitor and early detection of topological changes to ensure grid stability and resilience. Current methods, for optimizing the placement of micro Phasor Measurement Units ( μ PMUs) focus on achieving observability and efficient monitoring. These algorithms aim to minimize the number of μ PMUs needed while maintaining system observability or meeting criteria for observability. However, they may not consider all real-world constraints and uncertainties. In this study, we introduce a strategy for placing μ PMUs with the objective of enhancing observability and monitoring capabilities. Our proposed algorithm employs a technique that makes optimal decisions at each step to approximate the global optimum. To determine the locations for μ PMUs our algorithm takes into account parameters such as network structure, key nodes, and system stability. One distinguishing feature is its adaptability to distribution networks, including changes, in topology or potential device failures. Unlike classical approaches, our algorithm can continuously provide optimal placement solutions even in evolving network conditions. We have demonstrated that our suggested method achieves better results in terms of observability value and the required number of μ PMUs compared to the state-of-the-art. By strategically placing μ PMUs, operators can improve system observability, quickly detect and locate faults, and make informed decisions for effective network operations. This research helps improve optimal placement strategies for μ PMUs by providing practical and effective solutions to improve distribution network reliability, resilience, and performance in the face of changing dynamics.

Keywords: micro phasor measurement unit; distribution networks; optimal placement; dynamic network; device failures (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/16/20/7047/pdf (application/pdf)
https://www.mdpi.com/1996-1073/16/20/7047/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:16:y:2023:i:20:p:7047-:d:1257797

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().