基于优化分数阶pi控制器的DFIG有功和无功控制

Umar Javed, M. Arshad, M. Jawad, Noman Shabbir, L. Kütt, A. Rassõlkin
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引用次数: 3

摘要

双馈感应发电机(DFIG)由于具有变速运行的能力,在风电场中得到了广泛应用。研究人员热衷于利用双向功率流脉宽调制(PWM)转换器来克服风能不平衡对其有功和无功输出的影响。这些变流器采用转差功率恢复方法,用于调节从感应电机的绕线转子恢复的功率,或从电网到变流器的功率流。本文提出了一种基于分数阶演算的控制机制,用于脉冲宽度调制变换器输出功率调节的分数阶域比例积分控制器的优化运行。采用遗传算法优化分数阶比例积分控制器的增益。该方案有助于克服因风速变化引起的电网暂态和非线性。用合适的适应度函数表示双馈感应发电机的时域分析。通过对传统比例积分控制器和分数阶比例积分控制器的比较分析,分别采用极点配置和遗传算法进行了调谐,结果表明,在有功功率、无功功率和直流链路电压下,前者的稳态误差分别降低了1.44%、0.63%和0.11%,从而证实了后者的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Active and Reactive Power Control of DFIG using Optimized Fractional Order-PI Controller
Doubly-fed induction generators (DFIG) are widely in wind farms due to their ability to run at variable speed. Researchers are keen to overcome the implications of unbalanced wind energy on its active and reactive power output using bidirectional power flow pulse width modulation (PWM) converters. These converters incorporate slip power recovery methodology for regulating the power recovered from the wound rotor of the induction machine, or the power flow from the grid to convertors. This research paper has proposed a fractional-order calculus-based control mechanism for an optimized operation of proportional-integral controllers operated in fractional order domain in pulse width modulation converters for the output power regulation. A genetic algorithm is used to optimize the gains of this fractional-order proportional-integral controller. The proposed scheme helps in overcoming the transients and non-linearities occurring in the electrical grid due to variable wind speed. The time-domain analysis of the doubly-fed induction generator is expressed using an appropriate fitness function. A comparative analysis between conventional proportional-integral and fractional-order proportional-integral controllers tuned using pole-placement and genetic algorithm respectively confirms the efficiency of later technique by showing the reduced steady-state error of 1.44%, 0.63% and 0.11% for active power, reactive powers, and DC-link voltage, respectively.
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