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논문 기본 정보

자료유형
학술저널
저자정보
Wenjuan Zhang (Baoji University of Arts and Sciences) Haomiao Ma (Xi’an University of Technology) Junli Zhang (Baoji University of Arts and Sciences) Lingling Chen (94816 troop) Yang Qu (Baoji University of Arts and Sciences)
저널정보
전력전자학회 JOURNAL OF POWER ELECTRONICS JOURNAL OF POWER ELECTRONICS Vol.15 No.4
발행연도
2015.7
수록면
1,119 - 1,130 (12page)

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초록· 키워드

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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 applied to solve this optimization problem. In the proposed GA, the value of the crowbar resistance is represented by floating-point numbers in the GA population. The MOGA emphasizes the non-dominated solutions and simultaneously maintains diversity in the non-dominated solutions. A fuzzy-set-theory-based is employed to obtain the best solution. The proposed approach has been evaluated on a 3 MW DFIG LVRT. Simulation results show the effectiveness of the proposed approach for solving the crowbar resistance multi-objective optimization problem in the DFIG LVRT.

목차

Abstract
I. INTRODUCTION
II. BEHAVIOR OF THE DFIG BEFORE AND AFTER GRID FAULTS
III. MULTI-OBJECTIVE FUZZY OPTIMIZATION STRATEGY OF CROWBAR RESISTANCES
IV. SIMULATION RESULTS
V. CONCLUSION
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