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Speed control of grid-connected switched reluctance generator driven by variable speed wind turbine using adaptive neural network controller

机译：基于自适应神经网络控制器的变速风力发电机并网开关磁阻发电机的速度控制

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摘要

In wind energy conversion system, variable speed operation is becoming popular nowadays, where conventional synchronous generators, permanent magnet synchronous generators, and doubly fed induction generators are commercially used as wind generators. Along with the existing and classical solutions of the aforementioned machines used in wind power applications, the switched reluctance generator (SRG) can also be considered as a wind generator due to its inherent characteristics such as simple construction, robustness, low manufacturing cost, etc. This paper presents a novel speed control of switched reluctance generator by using adaptive neural network (ANN) controller. The SRG is driven by variable speed wind turbine and it is connected to the grid through an asymmetric half bridge converter, DC-link, and DC-AC inverter system. Speed control is very important for variable speed operation of SRG to ensure maximum power delivery to the grid for any particular wind speed. Detailed modeling and control strategies of SRG as well as other individual components including wind turbine, converter, and inverter systems are presented. The effectiveness of the proposed system is verified with simulation results using the real wind speed data measured at Hokkaido Island, Japan. The dynamic simulation study is carried out using PSCAD/EMTDC.
机译：在风能转换系统中，如今，变速操作变得越来越流行，其中常规的同步发电机，永磁同步发电机和双馈感应发电机在商业上用作风力发电机。除了上述在风力发电中使用的机器的现有解决方案和经典解决方案外，开关磁阻发电机（SRG）由于其固有的特性（例如结构简单，坚固耐用，制造成本低等）也可以被视为风力发电机。本文提出了一种使用自适应神经网络（ANN）控制器的新型开关磁阻发电机速度控制系统。 SRG由变速风力发电机驱动，并通过非对称半桥转换器，DC链路和DC-AC逆变器系统连接到电网。速度控制对于SRG的变速运行非常重要，以确保在任何特定风速下都能最大程度地向电网输送功率。介绍了SRG以及风力发电机，变流器和逆变器系统等其他单个组件的详细建模和控制策略。使用日本北海道岛测得的实际风速数据，通过仿真结果验证了所提出系统的有效性。动态仿真研究是使用PSCAD / EMTDC进行的。

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