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Improvements in primary frequency regulation of the grid-connected variable speed wind turbine

机译：并网变速风力涡轮机一次频率调节的改进

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Primary frequency regulation capability of the wind turbine generators is an appealing topic in order to consider safe increasing of the wind power integration into power grids. This study introduces improvements in the primary frequency contribution of the grid-connected variable speed wind turbine generators, which operate under de-loaded conditions. A new dynamic droop control approach based on the fuzzy logic system is proposed. In this control approach, the droop setting is continuously adjusted in response to the de-loaded rotor speed, the frequency deviation, and the rate of change of frequency. In addition, a new dynamic de-loading technique based on the Sugeno-Fuzzy inference system is proposed where the de-loading percentage of the wind turbine generator is decided continuously according to the frequency deviation. The effectiveness of the proposed dynamic de-loading and dynamic droop control approaches is verified through extensive comparative studies. The simulation results confirmed that the proposed control approaches have the ability to provide transient and steady-state power-sharing and improve effectively the frequency stabilisation of the power system within the stable and secure limits of the wind turbine.
机译：风力涡轮发电机的一次频率调节能力是一个吸引人的主题，以便考虑安全增加风电在电网中的集成。这项研究介绍了在卸载条件下运行的并网变速风力发电机的主要频率贡献的改进。提出了一种基于模糊逻辑系统的动态下垂控制方法。在这种控制方法中，响应于卸载的转子速度，频率偏差和频率变化率连续调整下垂设置。此外，提出了一种新的基于Sugeno-Fuzzy推理系统的动态卸载技术，该技术根据频率偏差连续确定风力发电机的卸载百分比。通过广泛的比较研究，验证了所提出的动态卸载和动态下垂控制方法的有效性。仿真结果证实，所提出的控制方法具有提供瞬态和稳态功率共享的能力，并能够在风力涡轮机的稳定和安全范围内有效地改善电力系统的频率稳定性。

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