A hybrid MFO‐GHNN tuned self‐adaptive FOPID controller for ALFC of renewable energy integrated hybrid power system-Reference-Cited by-同舟云学术

A hybrid MFO‐GHNN tuned self‐adaptive FOPID controller for ALFC of renewable energy integrated hybrid power system

Published:2021-03-16 Issue:7 Volume:15 Page:1582-1595
ISSN:1752-1416
Container-title:IET Renewable Power Generation
language:en
Short-container-title:IET Renewable Power Generation

Author:

Ramachandran Rajeswari¹,Satheesh Kumar Jeevitha¹,Madasamy Balasubramonian²,Veerasamy Veerapandiyan³

Affiliation:

1. Department of Electrical Engineering Government College of Technology Coimbatore India

2. Department of Electrical Engineering Alagappa Chettiar College of Engineering and Technology Karaikudi India

3. Advanced Lightning, Power and Energy Research (ALPER), Department of Electrical and Electronics Engineering Faculty of Engineering Universiti Putra Malaysia (UPM) Selangor Malaysia

Publisher

Institution of Engineering and Technology (IET)

Subject

Renewable Energy, Sustainability and the Environment

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/rpg2.12134

Reference26 articles.

1. Adaptive Event-Triggering ${H}_{\infty }$ Load Frequency Control for Network-Based Power Systems

2. AGC performance enrichment of multi-source hydrothermal gas power systems using new optimized FOFPID controller and redox flow batteries

3. A Robust Load Frequency Control Scheme for Power Systems Based on Second-Order Sliding Mode and Extended Disturbance Observer

4. Improved Sliding Mode Design for Load Frequency Control of Power System Integrated an Adaptive Learning Strategy

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