Adaptive fuzzy gain scheduling PID controller for frequency regulation in modern power system-Reference-Cited by-同舟云学术

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Adaptive fuzzy gain scheduling PID controller for frequency regulation in modern power system

Published:2022-08-19 Issue: Volume: Page:
ISSN:1752-1416
Container-title:IET Renewable Power Generation
language:en
Short-container-title:IET Renewable Power Gen

Author:

Razmi Peyman¹^ORCID,Rahimi Tohid²^ORCID,Sabahi Kamel³,Gheisarnejad Meysam⁴,Khooban Mohammad‐Hassan⁴^ORCID

Affiliation:

1. Department of Electrical Engineering Ferdowsi University Mashhad Iran

2. Department of Electronic Carelton University Ottawa Canada

3. Department of Engineering Sciences Faculty of Advanced Technologies University of Mohaghegh Ardabili Namin Iran

4. Department of Electrical and Computer Engineering Aarhus University Aarhus Denmark

Publisher

Institution of Engineering and Technology (IET)

Subject

Renewable Energy, Sustainability and the Environment

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/rpg2.12569

Reference44 articles.

1. Wind energy, the price of carbon allowances, and CO2 emissions: Evidence from Ireland;Forbes K.F.;Energy Policy,2019

2. Integrated energy systems for higher wind penetration in China: Formulation implementation and impacts;Chen X.;IEEE Trans. Power Syst.,2018

3. Power System Capacity Expansion Under Higher Penetration of Renewables Considering Flexibility Constraints and Low Carbon Policies

4. Virtual Inertia Emulator-Based Model Predictive Control for Grid Frequency Regulation Considering High Penetration of Inverter-Based Energy Storage System

5. A critical evaluation of grid stability and codes, energy storage and smart loads in power systems with wind generation

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1. A Comparative Study of Load Frequency Regulation for Multi-Area Interconnected Grids Using Integral Controller;Sustainability;2024-05-01

2. Deep Deterministic Policy Gradient Reinforcement Learning Based Adaptive PID Load Frequency Control of an AC Micro-Grid;IEEE Canadian Journal of Electrical and Computer Engineering;2024

3. Decentralized frequency control of restructured energy system using hybrid intelligent algorithm and non‐linear fractional order proportional integral derivative controller;IET Renewable Power Generation;2023-05

4. Secondary Frequency Regulation Control Strategy with Electric Vehicles Considering User Travel Uncertainty;Energies;2023-04-28

5. Bio-Inspired Optimization Algorithms Applied to the GAPID Control of a Buck Converter;Energies;2022-09-16

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