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

Author

Listed:
  • Diego Cevallos

    (Department of Electrical Engineering, Universidad Politécnica Salesiana, Quito EC170702, Ecuador
    These authors contributed equally to this work.)

  • Carlos Barrera-Singaña

    (Department of Electrical Engineering, Universidad Politécnica Salesiana, Quito EC170702, Ecuador
    These authors contributed equally to this work.)

  • Hugo Arcos

    (Faculty of Electrical Engineering, Escuela Politécnica Nacional, Quito EC170525, Ecuador)

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.

Suggested Citation

  • Diego Cevallos & Carlos Barrera-Singaña & Hugo Arcos, 2025. "Optimal Adjustment of Reactive Power in Transmission Systems by Variation of Taps in Static Elements Using the Mean-Variance Mapping Optimization Algorithm," Energies, MDPI, vol. 18(8), pages 1-23, April.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:8:p:2141-:d:1639295
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    References listed on IDEAS

    as
    1. Alex Chamba & Carlos Barrera-Singaña & Hugo Arcos, 2023. "Optimal Reactive Power Dispatch in Electric Transmission Systems Using the Multi-Agent Model with Volt-VAR Control," Energies, MDPI, vol. 16(13), pages 1-25, June.
    2. Wen-Tung Lee & Shih-Cheng Horng & Chi-Fang Lin, 2019. "Application of Ordinal Optimization to Reactive Volt-Ampere Sources Planning Problems," Energies, MDPI, vol. 12(14), pages 1-16, July.
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