Advanced Optimization of Source Power Delivery for Transmission Loss Reduction—Case Study
Konrad Hawron and
Bartosz Rozegnał ()
Additional contact information
Konrad Hawron: Department of Electrical Engineering, Cracow University of Technology, Warszawska 24 St., 31-155 Cracow, Poland
Bartosz Rozegnał: Department of Electrical Engineering, Cracow University of Technology, Warszawska 24 St., 31-155 Cracow, Poland
Energies, 2025, vol. 18, issue 21, 1-17
Abstract:
The article presents the development and laboratory validation of a current optimization algorithm designed for voltage-source systems. The algorithm was implemented in a real laboratory setup using a synchronous generator driven by a DC motor to model a fragment of a power system. During tests, transient states were intentionally inducted to evaluate the algorithm’s performance. The proposed optimization method effectively reduced instantaneous current peaks by over 60% and the overall RMS current by approximately 4%, leading to lower power losses and decreased conductor temperatures. These improvements resulted in nearly 8% minimization of power losses and a noticeable reduction in heat generation during transient and fault conditions. The solution is particularly suitable for islanded networks with renewable and unstable energy sources.
Keywords: power delivery; optimization; power loss reduction; optimal current; transient state; energy quality; energy transmission (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: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/1996-1073/18/21/5834/pdf (application/pdf)
https://www.mdpi.com/1996-1073/18/21/5834/ (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:18:y:2025:i:21:p:5834-:d:1787953
Access Statistics for this article
Energies is currently edited by Ms. Cassie Shen
More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().