基于 q 轴扰动的 DG 系统主动孤岛检测方案的设计与验证

Praveen Raj Rajaswamy Sarojam, J. S. Savier
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摘要

近十年来,分布式发电(DG)在电网中的普及使农村社区、环境和电力部门受益匪浅。这些以可再生能源为基础的分布式发电系统可以消除对广泛输电网络的需求,尤其是在偏远地区,减少排放并提高供电可靠性。电网集成 DG 系统的一个显著缺点是 DG 单元的孤岛化,这会危及工人的安全,并增加破坏电力基础设施的可能性。因此,需要使用孤岛检测技术来降低与风电机组孤岛运行相关的危险。任何孤岛检测方法的主要要求是检测速度快、非检测区域小、电能质量干扰小。为解决孤岛问题,研究人员提出了各种孤岛检测策略。本文比较了各种基于 q 轴控制器的孤岛识别方法:次谐波扰动 (SHP)、互补无功功率扰动 (CRPP) 和偶次谐波扰动 (EHP)。在所有三种建议的方法中,引入的扰动都会导致频率偏差超过预定义的阈值。但 CRPP 方法的孤岛检测时间最短。CRPP 还能使总谐波失真 (THD) 明显超出相应的阈值。这些(孤岛检测方法)IDM 的性能是通过使用 MATLAB-Simulink 对光伏馈电 DG 进行仿真评估的。必要的波形确保了比较分析的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and verification of q-axis perturbation based active islanding detection schemes for DG systems
The penetration of grid integrated distributed generation (DG) in the present decade, has benefited rural communities, the environment, and the power sector. These renewable power sources based DGs could eliminate the need of extensive transmission networks, especially in remote areas, reduce emissions and improve power supply reliability. A significant drawback of grid integrated DG systems is the islanding of DG units, which puts workers' safety at risk and raises the possibility of damaging electrical infrastructure. Therefore, islanding detection techniques are used to reduce the danger associated with islanded functioning of DG units. Fast detection, small non detection area and less power quality disturbance are the major requirements of any islanding detection method. To address this issue of islanding, researchers have proposed various islanding detection strategies. This paper compares various q-axis controller-based islanding identification approaches: sub-harmonic perturbation (SHP), complementary reactive power perturbation (CRPP), and even harmonic perturbation (EHP). In all three proposed methodologies, the perturbations introduced result in frequency deviations surpassing the predefined threshold values. But the time of islanding detection is least in the CRPP approach. CRPP can also drift the total harmonic distortion (THD) beyond the corresponding threshold in an appreciable way. The performance of these (Islanding detection methods) IDMs is evaluated through simulations using MATLAB-Simulink on a PV fed DG. The efficacy of the comparative analysis is ensured with necessary waveforms.
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