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 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