Multi-objective Fuzzy-optimization of Crowbar Resistances for the Low-Voltage Ride-through of Doubly Fed Induction Wind Turbine Generation Systems

Zhang, Wenjuan; Zhang, Junli; Yang, Qing

doi:10.6113/jpe.2015.15.4.1119

Cited by 5 publications

(2 citation statements)

References 20 publications

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“…Wenjuan used the optimization theory design to establish a reasonable framework for the optimization model of the fire station. He transformed the multiobjective fuzzy theory into a unified single-objective model and determined the regional priority and danger level of each part of the fire according to the fire risk assessment method and transformed it into a genetic algorithm to solve the model [1].…”

Section: Related Workmentioning

confidence: 99%

Comprehensive Evaluation and Optimization Model of Regional Fire Protection Planning of Major Hazard Sources Based on Multiobjective Fuzzy Theory

Chen

Chen²,

Liu³

2022

Computational Intelligence and Neuroscience

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The regional fire protection plan is an important part of the city’s overall plan, which represents the deepening of the regional fire protection plan and the specific content of the city’s economic regional fire protection plan. Fire protection is an important part of national economic and social development, and it is also one of the indicators to measure the level of modern culture. Effective and practical fire protection planning can effectively prevent and reduce fire risks and protect the lives and property of the people, which is very important for social development. In order to optimize the regional fire model, this study uses a very objective fuzzy theory to analyze and discuss the research objects. In view of the large amount of fuzzy information in fuzzy optimization, fuzzy criterion recognition, and fuzzy grouping, based on the generalized fuzzy distance and fuzzy number, this paper proposes a multiobjective fuzzy theory-based comprehensive evaluation and optimization model of fire planning for major hazard sources. The results show that hotel fire risks tend to be higher, which is the focus of people’s attention. Among the fire hazards, wholesale, retail, and catering industries are the hardest hit areas, accounting for 66.3%, and some other industries are also disaster areas that need to be dealt with.

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Section: Related Workmentioning

confidence: 99%

Comprehensive Evaluation and Optimization Model of Regional Fire Protection Planning of Major Hazard Sources Based on Multiobjective Fuzzy Theory

Chen

Chen²,

Liu³

2022

Computational Intelligence and Neuroscience

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“…When solving the adjustment coefficients α and β fuzzy optimization problem using GA, the following steps should be followed :…”

Section: Multi‐objective Optimization Strategy Of Dfig Systems Duringmentioning

confidence: 99%

Multi‐Objective Fuzzy‐Optimization Control Strategy of Rotor Converter for Doubly‐Fed Induction Generators under Grid Voltage Unbalance

Zhang

2018

IEEJ Transactions Elec Engng

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Under unbalanced grid voltages, the output active power, reactive power, and current in the stator of a doubly fed induction generator (DFIG) exhibit harmonic frequency fluctuations and distortion. Conventional control strategies to eliminate these effects only focus on one control objective at a time. This paper proposes a genetic algorithm‐based multi‐objective coordinated control strategy to eliminate multiple undesired effects in DFIGs under unbalanced power supply conditions. In order to enhance its low‐voltage ride‐through (LVRT) capability and effectively reduce the impact of the grid current on the power grid, this strategy first introduces adjustment coefficients when calculating the directive current of the rotor, and constructs a unified analytic expression for multiple control objectives. Next, the multi‐objective optimization model is constructed using the minimization of the fluctuations in active and reactive powers as the control objective and the total harmonic distortion (THD) of the stator current as the constraint condition. Finally, the adjustment coefficients are optimized using the multi‐objective genetic algorithm. From the perspective of the overall requirements of generators under a voltage unbalance fault condition, the optimized adjustment coefficients aim to limit the THD of the stator current within an acceptable safety range while simultaneously minimizing the fluctuations in the active and reactive powers. The effectiveness and feasibility of the proposed control strategy are proven by both simulation and experimental results. © 2018 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

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An overview and case study of recent low voltage ride through methods for wind energy conversion system

Mostafa

El-Hay

Elkholy

2023

Renewable and Sustainable Energy Reviews

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Multi-objective Fuzzy-optimization of Crowbar Resistances for the Low-Voltage Ride-through of Doubly Fed Induction Wind Turbine Generation Systems

Cited by 5 publications

References 20 publications

Comprehensive Evaluation and Optimization Model of Regional Fire Protection Planning of Major Hazard Sources Based on Multiobjective Fuzzy Theory

Comprehensive Evaluation and Optimization Model of Regional Fire Protection Planning of Major Hazard Sources Based on Multiobjective Fuzzy Theory

Multi‐Objective Fuzzy‐Optimization Control Strategy of Rotor Converter for Doubly‐Fed Induction Generators under Grid Voltage Unbalance

An overview and case study of recent low voltage ride through methods for wind energy conversion system

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