基于自适应遗传算法的风力发电系统网侧LCL滤波器的优化设计
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西安工程大学博士启动基金(BS1018)


An optimized design for wind-power generation system grid-side LCL filter based on adaptive genetic algorithm
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    摘要:

    大功率风力发电系统常在电网侧接入滤波器以抑制变流器带来的高频谐波,但LCL滤波器参数的设计仍存在计算复杂、准确性低、滤波性能差等不足。提出了基于自适应遗传算法来优化设计网侧LCL滤波器参数。通过采用自适应的交叉概率和变异概率来提高进化效率以减小参数优化计算时间,并综合考虑LCL滤波器的重要约束条件和滤波性能来优化LCL滤波器的主要参数。最后PSCAD/EMTDC的实例仿真结果充分表明采用优化参数的滤波器具有良好的网侧谐波抑制能力,为工程应用提供了重要的依据。

    Abstract:

    In high-power wind generation system, grid-side LCL filter is usually applied to suppress high frequency harmonics generated by the converter. But present methods for parameters design of LCL filter have complex computation, low accuracy and poor performance. This paper proposes an optimized design method based on adaptive genetic algorithm for LCL filter. It uses adaptive crossover and mutation probability to increase the evolutionary efficiency and decrease computation time. In addition, the design constraints and filter performance are considered comprehensively. At last, the PSCAD/EMTDC simulation results indicate that the optimized filter has favorable ability of harmonic suppression, and it is significant for practical application.

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邵文权,宋江喜,程远,等.基于自适应遗传算法的风力发电系统网侧LCL滤波器的优化设计[J].电力系统保护与控制,2013,41(21):116-121.[SHAO Wen-quan, SONG Jiang-xi, CHENG Yuan, et al. An optimized design for wind-power generation system grid-side LCL filter based on adaptive genetic algorithm[J]. Power System Protection and Control,2013,V41(21):116-121]

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