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基于自适应萤火虫算法的MMC参数优化研究 被引量:3

Optimization of MMC Parameters Based on Adaptive Firefly Algorithm
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摘要 模块化多电平换流器技术(MMC)以其高度模块化的结构、良好的谐波特性和故障穿越能力等优点,越来越多应用到电力系统高压大功率输电场合。但是此结构带来的子模块电容电压均衡和环流问题,也是MMC正常运行过程中需要重视的。在分析现有载波移相调制的MMC控制策略基础上,通过改进萤火虫算法提高其自适应性,让其对控制器输入指令进行跟踪,从而对控制器各项参数进行优化处理。利用MTALAB/Simulink建立MMC仿真模型,经过改进算法优化后的MMC控制器输出电流波形得到改善,子模块电容电压平衡更加稳定,结果证明参数优化方法的有效性。 Modular multilevel convener technology (MMC) is more and more widely used in high voltage and high power transmission system because of its advantages of high modular structure, good harmonic characteristics and fault crossing capability. However, the capacitor voltage equalization and circulation current problem caused by this structure can not be ignored in the normal operation of MMC. Based on the analysis of the existing carrier phase modulation MMC, by modifying the firefly algorithm to improve its adaptability, the control strategy can realize the function of tracking the instruction of controller so as to optimize its parameters. The simulation model is established in MATLAB/ simulink, and the output current waveform of the MMC controller optimized by the algorithm is improved, and the capacitor voltage balance of the submodule is more stable. The simulation results verify the effectivity of the proposed adaptive firefly algorithm.
作者 焦晓鹏 刘青
出处 《电力科学与工程》 2017年第11期24-30,共7页 Electric Power Science and Engineering
基金 国家重点研发计划(2016YFB0900203)
关键词 模块化多电平换流器 环流 萤火虫算法 参数优化 modular multilevel converter circulation current firefly algorithm parameters optimization
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