A Linguistic Information Granulation Model and Its Penalty Function-Based Co-Evolutionary PSO Solution Approach for Supporting GDM with Distributed Linguistic Preference Relations

Zhang, Qiang; Huang, Ting; Tang, Xiaoan; Xu, Kaijie; Pedrycz, Witold

doi:10.1016/j.inffus.2021.07.017

Cited by 19 publications

(1 citation statement)

References 62 publications

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“…The direct search method is suitable for the solution. However, when optimizing the parameters of multiple wind farms, algorithms such as differential evolution (DE) 35 and particle swarm optimization (PSO) 36 can be used to improve the search accuracy of key parameters, obtaining more precise optimal solutions. Since the optimization algorithm is not the focus, it will not be elaborated here.…”

Section: Parameter Adjustment Methods Coordinated With Voltage Suppor...mentioning

confidence: 99%

Interaction energy flow paths analysis of PMSG-based wind power integrated systems during LVRT and its parameter adjustment strategy

Xing,

Xi,

et al. 2024

Sci Rep

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To solve the problem of oscillation instability in permanent magnetic synchronous generator (PMSG)-based wind power connected systems during low-voltage ride through (LVRT) process, a parameter adjustment strategy based on interaction energy path optimization is proposed in this paper. Firstly, a modular state-space model of PMSG under fault transient conditions is constructed, and the system is divided into five subsystems. Then, the dynamic energy function of subsystems reflecting the oscillation stability of the system is derived. Based on that, the dynamic energy flow path is described considering the introduction of LVRT control. On this basis, the interaction energy between LVRT control links and subsystems is analyzed, and the coupling mechanism of voltage support and damping characteristics in the LVRT process is explained. Further, aiming at the optimal change rate of the total interaction energy in the LVRT process, the adjustment strategy of LVRT control parameters is constructed to meet voltage and damping requirements. Finally, a PMSG-connected system model is built on the MATLAB/Simulink platform to verify the effectiveness of the adjustment strategy. The results show that the proposed method can effectively improve the damping level under the fault transient condition, as well as supporting system voltage.

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Section: Parameter Adjustment Methods Coordinated With Voltage Suppor...mentioning

confidence: 99%

Interaction energy flow paths analysis of PMSG-based wind power integrated systems during LVRT and its parameter adjustment strategy

Xing,

Xi,

et al. 2024

Sci Rep

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show abstract

A Multi-criteria Group Decision-Making Method in Changeable Scenarios Based on Self-adjustment of Weights Using Reciprocal Preference Relations

Trillo,

Alonso,

Pérez

et al. 2023

Lecture Notes in Computer Science

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A consistency and consensus-driven approach for granulating linguistic information in GDM with distributed linguistic preference relations

Tang

et al. 2022

Artif Intell Rev

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A Linguistic Information Granulation Model and Its Penalty Function-Based Co-Evolutionary PSO Solution Approach for Supporting GDM with Distributed Linguistic Preference Relations

Cited by 19 publications

References 62 publications

Interaction energy flow paths analysis of PMSG-based wind power integrated systems during LVRT and its parameter adjustment strategy

Interaction energy flow paths analysis of PMSG-based wind power integrated systems during LVRT and its parameter adjustment strategy

A Multi-criteria Group Decision-Making Method in Changeable Scenarios Based on Self-adjustment of Weights Using Reciprocal Preference Relations

A consistency and consensus-driven approach for granulating linguistic information in GDM with distributed linguistic preference relations

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