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

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...

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Bibliographic Details
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
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