Design of a dual‐layered tilt fuzzy control structure for interconnected power system integrated with
            <scp>DFIG</scp>

Mishra, Akhilesh Kumar; Mishra, Puneet; Mathur, H. D.

doi:10.1002/2050-7038.13015

Cited by 6 publications

(1 citation statement)

References 36 publications

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“…The functional structure of the system is designed according to the above-mentioned methodological framework and system architecture, as shown in Figure 4. The functional structure mainly includes task management, scheduling energy-saving optimization, basic data management, and user management [19][20].…”

Section: Functional Structure Design Of the Systemmentioning

confidence: 99%

Energy-saving and noise-reducing integrated task allocation model for machining systems and its application

Chen

2023

Applied Mathematics and Nonlinear Sciences

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In this paper, firstly, based on the application model of optimal scheduling of machining system for green manufacturing, two application models of the energy-saving scheduling model and energy-saving and noise-reducing scheduling model in a multi-model framework are combined, and the resource environment coefficient matrix of the two application models is established as well as the solution process is studied with the parallel machine problem. Then the system's architecture is constructed, and its basic operation flow, functional modules, etc., are designed and conceived. The application of the system is studied in conjunction with a gear machining workshop of a machine tool factory, and the machining system's energy and noise reduction performance is verified based on experiments. The results show that the energy consumption of the machining system is reduced by 0.514 kW-h by machining only the above six gear parts with a small difference in the maximum machining completion time and that the spindle speed has the most significant effect on the machine tool machining noise at a significance level α of 0.05. The analysis of this study verifies that the energy-saving and noise-reducing scheduling arrangement method can reduce the system machining energy consumption and noise, which is important for green manufacturing.

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Section: Functional Structure Design Of the Systemmentioning

confidence: 99%

Energy-saving and noise-reducing integrated task allocation model for machining systems and its application

Chen

2023

Applied Mathematics and Nonlinear Sciences

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Nature-Inspired Optimization Algorithm-Assisted Optimal Sensor Node Positioning for Precision Agriculture Applications in Asymmetric Fields

Mishra

Mathur

2023

Lecture Notes in Networks and Systems

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A deep learning assisted adaptive nonlinear deloading strategy for wind turbine generator integrated with an interconnected power system for enhanced load frequency control

Mishra

Mathur

2023

Electric Power Systems Research

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Design of a dual‐layered tilt fuzzy control structure for interconnected power system integrated with DFIG

Abstract: The doubly fed induction generators based wind power plant is extensively used as a renewable energy source; however, their integration with interconnected power systems may cause equal challenges as well. Since such

Cited by 6 publications

References 36 publications

Energy-saving and noise-reducing integrated task allocation model for machining systems and its application

Energy-saving and noise-reducing integrated task allocation model for machining systems and its application

Nature-Inspired Optimization Algorithm-Assisted Optimal Sensor Node Positioning for Precision Agriculture Applications in Asymmetric Fields

A deep learning assisted adaptive nonlinear deloading strategy for wind turbine generator integrated with an interconnected power system for enhanced load frequency control

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