Inertia‐adaptive model predictive control‐based load frequency control for interconnected power systems with wind power-Reference-Cited by-同舟云学术

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Inertia‐adaptive model predictive control‐based load frequency control for interconnected power systems with wind power

Published:2020-07-09 Issue:22 Volume:14 Page:5029-5036
ISSN:1751-8687
Container-title:IET Generation, Transmission & Distribution
language:en
Short-container-title:IET gener. transm. distrib.

Author:

Yang Deyou¹^ORCID,Wang Bo¹^ORCID,Cai Guowei¹,Ma Jin²,Tian Jie¹,Chen Zhe³,Wang Lixin¹

Affiliation:

1. School of Electrical Engineering, Northeast Electrical Power UniversityJilin132012People's Republic of China

2. School of Electrical and Information Engineering, The University of SydneySydneyAustralia

3. Department of Energy TechnologyAalborg UniversityAalborgDenmark

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-gtd.2020.0018

Reference27 articles.

1. Ulbig A. Borsche T.S. Andersson G.: ‘Impact of low rotational inertia on power system stability and operation’.Conf. IFAC Cape Town South Africa December 2013 pp.7290–7297

2. Inertia estimation based on observed electromechanical oscillation response for power systems;Cai G.;IEEE Trans. Power Syst.,2019

3. Coordinated frequency regulation by doubly fed induction generator-based wind power plants

4. An Analysis of the Effects and Dependency of Wind Power Penetration on System Frequency Regulation

5. A new robust PID load frequency controller;Khodabakhshian A.;Control Eng. Pract.,2008

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1. Model‐free adaptive load frequency control for power systems with wind penetration under deregulation environment;Asian Journal of Control;2024-09-06

2. Deep Learning Optimized Global Adaptive MPC for Primary Frequency Synthetic Inertia Control in Microgrids with Wind Energy;Lecture Notes in Electrical Engineering;2024

3. Data-driven predictive based load frequency robust control of power system with renewables;International Journal of Electrical Power & Energy Systems;2023-12

4. On-line tracking of inertia constants using ambient measurements;Electric Power Systems Research;2023-11

5. On data-driven modeling and control in modern power grids stability: Survey and perspective;Applied Energy;2023-11

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