This work was supported by the Consejo Nacional de Ciencia Tecnología e Innovación Tecnológica (CONCYTEC) y el Fondo Nacional De Desarrollo Científico, Tecnológico Y De Innovación Tecnológica (FONDECYT).

This work acknowledges the support of the Consejo Nacional de Ciencia Tecnología-Perú(CONCYTEC).

Este trabajo reconoce el apoyo del Consejo Nacional de Ciencia Tecnología e Innovación Tecnológica (CONCYTEC) y del Fondo Nacional de Desarrollo Científico, Tecnológico y de Innovación Tecnológica (FONDECYT) por su apoyo a las actividades de investigación en el campo de la energía en la Escuela de Ingeniería Mecánica de la UNI.

This paper introduces an innovative approach to address the distribution network reconfiguration (DNR) challenge, aiming to reduce power loss through an advanced hyperbolic tangent particle swarm optimization (HT-PSO) method. This approach is distinguished by the adoption of a novel hyperbolic tangent function, which effectively limits the rate of change values, offering a significant improvement over traditional sigmoid function-based methods. A key feature of this new approach is the integration of a tunable parameter, δ, into the HT-PSO, enhancing the curve’s adaptability. The careful optimization of δ ensures superior control over the rate of change across the entire operational range. This enhanced control mechanism substantially improves the efficiency of the search and convergence processes in DNR. Comparative simulations conducted on 33- and 94-bus systems show an improvement...