Hybrid Driving Training and Particle Swarm Optimization Algorithm-Based Optimal Control for Performance Improvement of Microgrids

Hybrid Driving Training and Particle Swarm Optimization Algorithm-Based Optimal Control for Performance Improvement of Microgrids

This paper discusses the importance of microgrids in power systems and introduces a new method for enhancing their performance by improving the transient voltage response in the face of disturbances. The method involves using a hybrid optimization approach that combines driving training-based and pa...

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Bibliographic Details
Main Authors: Dina A. Zaki, Hany M. Hasanien, Mohammed Alharbi, Zia Ullah, Mariam A. Sameh
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Energies
Subjects:
central composite response surface methodology (CCRSM)
islanded microgrids
optimization algorithms
renewable energy resources
Online Access:https://www.mdpi.com/1996-1073/16/11/4355

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