Article citationsMore>>

Zhou, G., Zhou, Y., Deng, W., Yin, S. and Zhang, Y. (2023) Advances in Teaching–learning-Based Optimization Algorithm: A Comprehensive Survey (ICIC2022). Neurocomputing, 561, Article 126898.
https://doi.org/10.1016/j.neucom.2023.126898

has been cited by the following article:

• TITLE: Improvement of Voltage Profile and Reduction of Losses in Distribution Networks via a Hybrid PV-DSTATCOM Approach

  AUTHORS: Hassane Ousseyni Ibrahim, Salissou Labo Rakiatou, Abdoul Malik Maman Issaka

  KEYWORDS: Minimize Active Losses, Photovoltaic (PV), D-STATCOM, Particle Swarm Optimization (PSO) Algorithm, Distribution Networks

  JOURNAL NAME: Smart Grid and Renewable Energy, Vol.17 No.2, February 14, 2026

  ABSTRACT: This study focused on optimizing distribution networks through the strategic integration of photovoltaic (PV) systems and D-STATCOM compensators. Using the particle swarm optimization (PSO) algorithm, three scenarios were evaluated to minimize active losses and stabilize the voltage profile. The individual results showed that while PV alone effectively reduces losses (47.79%) and D-STATCOM alone improves reactive regulation (24.08%), neither solution offers total performance. The joint optimization of both pieces of equipment proved to be the most effective, achieving a 69.18% reduction in losses and ensuring a voltage profile that strictly complies with wave quality standards across all nodes, including the most remote ones.