Minimization of Transmission Line Losses Through System Topology Reconfiguration

David Orbea (), Diego Carrión and Manuel Jaramillo
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David Orbea: Master’s Program in Electricity, Salesian Polytechnic University, Quito EC170702, Ecuador
Diego Carrión: Smart Grid Research Group—GIREI (Spanish Acronym), Electrical Engineering Deparment, Salesian Polytechnic University, Quito EC170702, Ecuador
Manuel Jaramillo: Smart Grid Research Group—GIREI (Spanish Acronym), Electrical Engineering Deparment, Salesian Polytechnic University, Quito EC170702, Ecuador

Energies, 2025, vol. 18, issue 8, 1-19

Abstract: This research proposes a methodology for minimizing losses in transmission lines (TLs), considering the reconfiguration of the architecture of the electrical power system (EPS). The implementation of this methodology redirects the power flow with optimal switching through its TL to guarantee the stability of the voltage, angle, frequency, and power balance in order to minimize losses that affect the reliability and quality of the system. Optimal transmission switching (OTS) allows various types of analysis to be carried out; the loadability of the lines, response times, and operating costs, among other aspects, can be improved. This article proposes minimizing the losses in the transmission lines with OTS by using AC power flows as a mixed-integer nonlinear problem (MINLP). Several test scenarios evaluate the method’s effectiveness, determining the optimal topology for corrective control that optimizes power flows in different situations. It is proven that this approach reduces losses compared to a base case by 99%, even in the face of N − 1 or random contingencies, without losing the load and while maintaining the same active power dispatch and, finally, verifying a strategic increase in the dispatch of reactive power to maintain operating parameters within stable limits.

Keywords: loss minimization; optimal power flow-AC; optimal transmission switching; power losses; power system planning (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
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