Fractional Modelling, Analysis and Control for Power System

A special issue of Fractal and Fractional (ISSN 2504-3110). This special issue belongs to the section "Engineering".

Deadline for manuscript submissions: 31 August 2024 | Viewed by 2676

Special Issue Editors


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Guest Editor
School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China
Interests: analysis and control of power system; renewable generation integration; and stability analysis and control of microgrid

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Guest Editor
School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
Interests: modeling of power converters; stability analysis and control of complex power systems; smart grids

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Guest Editor
School of Electrical Engineering, Southeast University, Nanjing 210096, China
Interests: modeling, control and design of power converters; wireless power transfer; stability analysis of distributed power systems
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Guest Editor
Department of Power and Electrical Engineering, College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling 712100, China
Interests: fractional-order control; intelligent fault diagnosis; coordinated control; intelligent water conservancy; and optimized regulation of water–wind–solar power systems
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Electrical & Information Engineering, Changsha University of Science and Technology, Changsha 410114, China
Interests: operation and control of hybrid AC/DC power systems; energy storage systems control; flexibility of energy systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

A large amount of renewable energy, primarily including wind power and photovoltaic energy, has been integrated into the power grid via power electronics. Various regulation devices have been equipped to enhance the power quality. Meanwhile, communication technology and computer technology have been widely implemented in the power system. Therefore, the model of the power system is complex, and it can result in a chaos phenomenon. It has been demonstrated that establishing a model for the power system through fractional calculus can be more accurate. Meanwhile, it is crucial to study the application of control techniques in order to improve the dynamic performances of the power system. This Special Issue seeks to connect researchers from both academia and industry to introduce fractional modelling, analysis and control techniques for the power system and discuss future research opportunities. The scope of this Special Issue includes, but is not limited to, the following topics:

•    Fractional calculus applications
•    Fractional-order model for the power system
•    Analysis of the power system
•    Modelling technique of power converters
•    Chao phenomenon in the power system
•    Control method for power converters
•    Control strategy for renewable energy
•    Control techniques for the power system and microgrid
•    Control for energy storage systems

Dr. Sunhua Huang
Prof. Dr. Jie Wang
Dr. Xin Li
Dr. Bin Wang
Dr. Yang Zhou
Guest Editors

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Published Papers (2 papers)

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Research

19 pages, 667 KiB  
Article
Novel Controller Design for Finite-Time Synchronization of Fractional-Order Nonidentical Complex Dynamical Networks under Uncertain Parameters
by Xiliang He, Yu Wang, Tianzeng Li, Rong Kang and Yu Zhao
Fractal Fract. 2024, 8(3), 155; https://doi.org/10.3390/fractalfract8030155 - 10 Mar 2024
Cited by 1 | Viewed by 777
Abstract
The synchronization of complex networks, as an important and captivating dynamic phenomenon, has been investigated across diverse domains ranging from social activities to ecosystems and power systems. Furthermore, the synchronization of networks proves instrumental in solving engineering quandaries, such as cryptography and image [...] Read more.
The synchronization of complex networks, as an important and captivating dynamic phenomenon, has been investigated across diverse domains ranging from social activities to ecosystems and power systems. Furthermore, the synchronization of networks proves instrumental in solving engineering quandaries, such as cryptography and image encryption. And finite-time synchronization (FTS) controls exhibit substantial resistance to interference, accelerating network convergence speed and heightening control efficiency. In this paper, finite-time synchronization (FTS) is investigated for a class of fractional-order nonidentical complex networks under uncertain parameters (FONCNUPs). Firstly, some new FTS criteria for FONCNUPs are proposed based on Lyapunov theory and fractional calculus theory. Then, the new controller is designed based on inequality theory. Compared to the general controller, it controls all nodes and adds additional control to some of them. When compared to other controllers, it has lower control costs and higher efficiency. Finally, a numerical example is presented to validate the effectiveness and rationality of the obtained results. Full article
(This article belongs to the Special Issue Fractional Modelling, Analysis and Control for Power System)
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43 pages, 12314 KiB  
Article
Optimum Fractional Tilt Based Cascaded Frequency Stabilization with MLC Algorithm for Multi-Microgrid Assimilating Electric Vehicles
by Abdullah M. Noman, Mokhtar Aly, Mohammed H. Alqahtani, Sulaiman Z. Almutairi, Ali S. Aljumah, Mohamed Ebeed and Emad A. Mohamed
Fractal Fract. 2024, 8(3), 132; https://doi.org/10.3390/fractalfract8030132 - 23 Feb 2024
Viewed by 1321
Abstract
An important issue in interconnected microgrids (MGs) is the realization of balance between the generation side and the demand side. Imbalanced generation and load demands lead to security, power quality, and reliability issues. The load frequency control (LFC) is accountable for regulating MG [...] Read more.
An important issue in interconnected microgrids (MGs) is the realization of balance between the generation side and the demand side. Imbalanced generation and load demands lead to security, power quality, and reliability issues. The load frequency control (LFC) is accountable for regulating MG frequency against generation/load disturbances. This paper proposed an optimized fractional order (FO) LFC scheme with cascaded outer and inner control loops. The proposed controller is based on a cascaded one plus tilt derivative (1+TD) in the outer loop and an FO tilt integrator-derivative with a filter (FOTIDF) in the inner loop, forming the cascaded (1+TD/FOTIDF) controller. The proposed 1+TD/FOTIDF achieves better disturbance rejection compared with traditional LFC methods. The proposed 1+TD/FOTIDF scheme is optimally designed using a modified version of the liver cancer optimization algorithm (MLCA). In this paper, a new modified liver cancer optimization algorithm (MLCA) is proposed to overcome the shortcomings of the standard Liver cancer optimization algorithm (LCA), which contains the early convergence to local optima and the debility of its exploration process. The proposed MLCA is based on three improvement mechanisms, including chaotic mutation (CM), quasi-oppositional based learning (QOBL), and the fitness distance balance (FDB). The proposed MLCA method simultaneously adjusts and selects the best 1+TD/FOTIDF parameters to achieve the best control performance of MGs. Obtained results are compared to other designed FOTID, TI/FOTID, and TD/FOTID controllers. Moreover, the contribution of electric vehicles and the high penetration of renewables are considered with power system parameter uncertainty to test the stability of the proposed 1+TD/FOTIDF LFC technique. The obtained results under different possible load/generation disturbance scenarios confirm a superior response and improved performance of the proposed 1+TD/FOTIDF and the proposed MLCA-based optimized LFC controller. Full article
(This article belongs to the Special Issue Fractional Modelling, Analysis and Control for Power System)
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