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Intelligent overcurrent protection during Ferroresonance in smart distribution grid

机译:智能配电网铁磁谐振过程中的智能过流保护

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摘要

Smart grid includes utility system and renewable Generations like wind turbine and solar panel. It stablishes bidirectional power flow and communication among utility, Dispersed Generations (DG) and consumers. In this paper, impact of ferroresonance in utility system is analyzed on electrical and mechanical parameters of DFIG (Doubly-Fed Induction Generator) and behavior of directional overcurrent relay in wind farm by PSCAD/EMTDC software. Smart grid requires a self-healing protection; hence, an intelligent overcurrent relay based on wavelet transform, neural network and time domain analysis of ferroresonance is proposed for overcurrent relay. The relay is able to comply with smart grid protection strategies. It distinguishes ferroresonance from other phenomena, which cause deviation of electrical parameters. Protection strategy determines behavior of the relay via the algorithm. It makes a suitable decision in ferroresonance to change setting parameters and direction of operation to increase reliability and availability in smart grid. The relay is also able to predict ferroresonant states in the network to indulge smart grid requirements.
机译:智能电网包括公用事业系统和可再生能源发电,例如风力涡轮机和太阳能电池板。它可确保公用事业,分散发电(DG)和用户之间的双向潮流和通信。本文通过PSCAD / EMTDC软件分析了铁磁谐振对公用系统中DFIG(双馈感应发电机)的电气和机械参数以及风电场中定向过流继电器的行为的影响。智能电网需要自我修复保护;因此,提出了一种基于小波变换,神经网络和铁磁谐振时域分析的智能型过电流继电器。继电器能够遵守智能电网保护策略。它将铁磁谐振与其他现象区分开,其他现象会导致电气参数偏差。保护策略通过算法确定继电器的行为。它会在铁磁谐振方面做出适当的决定,以更改设置参数和操作方向,以提高智能电网的可靠性和可用性。继电器还能够预测网络中的铁磁状态,从而满足智能电网的需求。

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