Twelve Sectors DPC Control Based on Neural Hysteresis Comparators of the DFIG Integrated to Wind Power

Twelve Sectors DPC Control Based on Neural Hysteresis Comparators of the DFIG Integrated to Wind Power
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基于神经滞环比较器的风电双馈电机十二扇区DPC控制

DOI:
10.18280/ti-ijes.642-433
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发表时间:
2020
期刊:
Tecnica Italiana-Italian Journal of Engineering Science
影响因子:
--
通讯作者:
H. Benbouhenni
H. Benbouhenni
中科院分区:
--
文献类型:
--
作者:
H. Benbouhenni

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接收日期:2020年3月5日接受:2020年6月2日十二扇区直接功率控制(TSDPC)驱动器通过选择最佳逆变器开关表(ST),允许直接和独立地控制无功功率联动和有功功率。不需要任何复杂的电压或电流变换。然而,从ST中选择的每个矢量不能产生所需的精确转子电压矢量(VV)以提供期望的无功功率和有功功率。这导致在无功功率以及有功功率波形中产生纹波。在这项研究中,我们提出了一种技术,以尽量减少有功和无功功率纹波。在这种技术中,磁滞比较器被两个人工神经网络(ANN)控制器所取代,并与TSDPC技术进行了比较。对传统的12扇区DPC和所提出的方法进行了仿真,并对它们的性能进行了比较。
Received: 5 March 2020 Accepted: 2 June 2020 A twelve sectors direct power control (TSDPC) drive allows direct and independent command of reactive power linkage and active power by the selection of optimum inverter switching tables (STs). There is no need for any complex transformation of voltage or current. However, each vector selected from the ST cannot produce the required accurate rotor voltage vector (VV) to provide the desired reactive and active power. This results in the production of ripples in the reactive power as well as active power waveforms. In this study, we propose a technique to minimize active and reactive power ripples. In this technique, the hysteresis comparators are replaced by two artificial neural networks (ANNs) controller and are compared to the TSDPC technique. The traditional twelve sectors DPC and the proposed technique are simulated and the comparison of their performances is presented.