Optimal Adjustment of Reactive Power in Transmission Systems by Variation of Taps in Static Elements Using the Mean-Variance Mapping Optimization Algorithm

Diego Cevallos, Carlos Barrera-Singaña () and Hugo Arcos
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Diego Cevallos: Department of Electrical Engineering, Universidad Politécnica Salesiana, Quito EC170702, Ecuador
Carlos Barrera-Singaña: Department of Electrical Engineering, Universidad Politécnica Salesiana, Quito EC170702, Ecuador
Hugo Arcos: Faculty of Electrical Engineering, Escuela Politécnica Nacional, Quito EC170525, Ecuador

Energies, 2025, vol. 18, issue 8, 1-23

Abstract: This work focuses on the problem of optimal reactive power adjustment (ORPA) in electric power systems (EPSs) by implementing the Mean-Variance Mapping Algorithm (MVMO) focusing on the control of static devices such as taps in transformers and static capacitor banks. The study focuses on IEEE test systems of 39 and 118 buses using MATLAB R2024b together with the MATPOWER toolbox. The main novelty lies in the application of the MVMO algorithm to solve the ORPA problem considering only static control elements, which allows an efficient and practical solution with lower computational complexity; through statistical analysis, the performance of each of the algorithms was evaluated where it was experimentally shown that MVMO presents a better performance in terms of reducing active power losses and improving voltage profiles compared to the PSO algorithm.

Keywords: power system optimization; reactive power control; metaheuristic algorithms; power loss minimization; voltage profile improvement (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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