A Novel Hybrid Optimization-Based Algorithm for the Single and Multi-Objective Achievement With Optimal DG Allocations in Distribution Networks

A Novel Hybrid Optimization-Based Algorithm for the Single and Multi-Objective Achievement With Optimal DG Allocations in Distribution Networks

Distribution networks are facing new challenges with the emergence of smart grids, such as capacity limitations, voltage instability, and many others. These challenges can potentially lead to brownouts and blackouts. This paper presents an innovative technique for optimal siting and sizing of distri...

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Bibliographic Details
Main Authors: Muhammad Imran Akbar, Syed Ali Abbas Kazmi, Omar Alrumayh, Zafar A. Khan, Abdullah Altamimi, M. Mahad Malik
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Distributed generation
dimension learning-based hunting
grey wolf optimization
particle swarm optimization
radial distribution network
voltage deviation
Online Access:https://ieeexplore.ieee.org/document/9723069/

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