Optimal Integration of Active and Reactive Power DGs in Distribution Network via a Novel Multi-Objective Intelligent Technique

• Main Authors: Abdullah A., Musirin I., Othman M.M., Rahim S.R.A., Shaaya S.A., Senthil Kumar A.V.
• Other Authors: 57197864035
• Format: Conference paper
• Published: Institute of Electrical and Electronics Engineers Inc. 2025
• Subjects: Computer programming; Cost reduction; Distributed power generation; Evolutionary algorithms; Fuzzy logic; Operating costs; Reactive power; Active and Reactive Power; Cumulative voltage deviation; Distributed generators; Distribution systems; Multi objective; Multi-objectives optimization; Powerloss; Total power; Total power loss; Voltage deviations; Multiobjective optimization

This work introduces a novel approach called the Multi-Objective Integrated Immune Moth Flame Evolutionary Programming (MO-IIMFEP) algorithm. This algorithm aims to determine the optimal sizes and positions for Type III distributed generators (DGs) that generate both active and reactive power. The o...