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作 者:谢东 高鹏 杨锐敏 汪超 刘富强 XIE Dong;GAO Peng;YANG Ruimin;WANG Chao;LIU Fuqiang(Tongling University,Tongling 244000 China)
出 处:《新余学院学报》2025年第2期25-31,共7页Journal of Xinyu University
基 金:安徽省高校自然科学基金重点项目“高渗透率分布式电源接入下人工智能型被动式孤岛检测技术研究”(KJ2020A0697)。
摘 要:Sandia频率偏移(SFS)法有着良好的孤岛检测能力,但该法造成的正弦电流死区,影响了供电系统的电能品质。针对这一缺点,在分析SFS法产生电流畸变机理的基础上给出了一种降低SFS法所产生电流畸变的应对策略。该策略是在改进SFS斩波量算式基础上,构建一种复合式孤岛检测,以降低电流畸变,并提高孤岛检测性能。仿真验证结果表明,该策略的检测性能良好,并且电流畸变率有了明显的下降,提高了分布式发电系统的供电品质。The SFS method has good islanding detection capability,but the sinusoidal current dead zone caused by this method affects the power quality of the power supply system.In response to this drawback of the SFS method,this paper firstly analyzes in detail the mechanism of current distortion generated by the SFS method,and based on this,provides a response method to reduce the current distortion generated by the SFS method.The strategy proposed in this paper is to improve the SFS chopping calculation and construct a composite islanding detection method to reduce current distortion and improve islanding detection performance.The simulation experiment results show that the islanding detection strategy proposed in this paper has good detection performance,and the current distortion rate has significantly decreased,which improves the power supply quality of DG system.
关 键 词:孤岛检测 电流畸变 Sandia频移 Sandia压移
分 类 号:TM615[电气工程—电力系统及自动化]
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