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Optimizing Real and Reactive Power Dispatch Using a Multi-Objective Approach Combining the ϵ -Constraint Method and Fuzzy Satisfaction

Author

Listed:
  • Ricardo Villacrés

    (Smart Grid Research Group—GIREI (Spanish Acronym), Salesian Polytechnic University, Quito EC170702, Ecuador)

  • Diego Carrión

    (Smart Grid Research Group—GIREI (Spanish Acronym), Salesian Polytechnic University, Quito EC170702, Ecuador)

Abstract

Optimal power dispatch is essential to improve the power system’s safety, stability, and optimal operation. The present research proposes a multi-objective optimization methodology to solve the real and reactive power dispatch problem by minimizing the active power losses and generation costs based on mixed-integer nonlinear programming (MINLP) using the epsilon constraint method and fuzzy satisficing approach. The proposed methodology was tested on the IEEE 30-bus system, in which each objective function was modeled and simulated independently to verify the results with what is obtained via Digsilent Power Factory and then combined, which no longer allows for the simulation of Digsilent Power Factory. One of the main contributions was demonstrating that the proposed methodology is superior to the one available in Digsilent Power Factory, since this program only allows for the analysis of single-objective problems.

Suggested Citation

  • Ricardo Villacrés & Diego Carrión, 2023. "Optimizing Real and Reactive Power Dispatch Using a Multi-Objective Approach Combining the ϵ -Constraint Method and Fuzzy Satisfaction," Energies, MDPI, vol. 16(24), pages 1-17, December.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:24:p:8034-:d:1299059
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    References listed on IDEAS

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    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.
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