This study introduces an adaptive geometry estimation-based multi-objective differential evolution (AGE-MODE) for optimizing power flow in hybrid thermal-wind-solar systems, demonstrating superior results on IEEE 30-bus and 57-bus systems.
Dec 1, 2023
This study presents an Enhanced Search Group Algorithm (ESGA) for optimizing the placement and sizing of distributed generations in radial distribution networks, demonstrating superior performance in reducing power loss and enhancing voltage stability.
Jan 1, 2023
This study proposes a chaotic search group algorithm (CSGA) for optimizing network reconfiguration and distributed generation allocation in radial distribution networks, improving voltage profiles and reducing power losses.
Oct 1, 2022
This study introduces a Multi-Objective Search Group Algorithm (MOSGA) for solving the multi-objective optimal power flow (MOOPF) problem in power systems, demonstrating its effectiveness in optimizing fuel cost, emissions, and active power loss.
Jul 28, 2022
This study proposes a Multi-Objective Search Group Algorithm (MOSGA) for solving the multi-objective optimal power flow problem with renewable energy sources, validating its effectiveness on IEEE 30-bus and 57-bus systems.
Apr 26, 2022