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<p>The integration of photovoltaic generation into distribution networks enhances energy sustainability but poses challenges for voltage stability. This study analyses voltage stability in the Manabí distribution system using a static model with different levels of photovoltaic penetration. The experiments highlight the importance of voltage stability indices, determined using artificial neural networks with a 10-neuron structure in each hidden layer of the multilayer perceptron architecture. The scaled conjugate gradient training algorithm exhibits superior learning performance, achieving a mean square error of 5.6231E-05. The results confirm that voltage stability indices effectively determine the most resilient nodes for photovoltaic integration, with voltage variations ranging from 0.05% to 0.12% in distributed installations and from 0.04% to 0.05% in centralized locations. These findings validate the usefulness of voltage stability indices for assessing system stability and optimizing the placement of photovoltaic generation in distribution networks.</p>

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Analysis of photovoltaic penetration on voltage stability in the electrical distribution system of manabí using neural networks: a practical case study approach

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年10月31日

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  • Ney R. Balderramo,
  • Lucio A. Valarezo,
  • A. Cano,
  • Andrés M. Salas,
  • F. Jurado

摘要

The integration of photovoltaic generation into distribution networks enhances energy sustainability but poses challenges for voltage stability. This study analyses voltage stability in the Manabí distribution system using a static model with different levels of photovoltaic penetration. The experiments highlight the importance of voltage stability indices, determined using artificial neural networks with a 10-neuron structure in each hidden layer of the multilayer perceptron architecture. The scaled conjugate gradient training algorithm exhibits superior learning performance, achieving a mean square error of 5.6231E-05. The results confirm that voltage stability indices effectively determine the most resilient nodes for photovoltaic integration, with voltage variations ranging from 0.05% to 0.12% in distributed installations and from 0.04% to 0.05% in centralized locations. These findings validate the usefulness of voltage stability indices for assessing system stability and optimizing the placement of photovoltaic generation in distribution networks.