2015
DOI: 10.6113/jpe.2015.15.4.1119
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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

Abstract: This study investigates the multi-objective fuzzy optimization of crowbar resistance for the doubly fed induction generator (DFIG) low-voltage ride-through (LVRT). By integrating the crowbar resistance of the crowbar circuit as a decision variable, a multi-objective model for crowbar resistance value optimization has been established to minimize rotor overcurrent and to simultaneously reduce the DFIG reactive power absorbed from the grid during the process of LVRT. A multi-objective genetic algorithm (MOGA) is… Show more

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Cited by 6 publications
(2 citation statements)
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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%
“…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%
“…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%