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Credibility-based distributed frequency estimation for plug-in electric vehicles participating in load frequency control

机译:基于信誉的分布式频率估计,用于参与负载频率控制的插件电动车辆

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摘要

The accurate, robust and economic acquisition of frequency signals of plug-in electric vehicles (PEVs) is a vital prerequisite to regulate the frequency of power systems with the participation of a large number of PEVs. While the communication links among PEVs are vulnerable to cyber attacks, we propose a credibility-based distributed frequency estimation scheme to detect and isolate compromised PEVs participating in the frequency regulation. In this scheme, each PEV can distinguish its neighbors? misbehavior based on the distributed frequency estimation and/or frequency measurements taken only at distribution substations. Then, a distributed load frequency control (DLFC) strategy is designed to integrate the credibility-based resilient distributed frequency estimation scheme. Tests under a variety of communication topologies are conducted to verify the proposed credibility-based distributed frequency estimation scheme. Simulation results of a four-area power system validate the proposed DLFC strategy after detecting and isolating the compromised PEVs can regulate the frequency quickly when suffering load variations.
机译:通过参与大量PEVS的参与,对电动插入电动车辆(PEVS)频率信号的准确,坚固且经济的采集是一种重要的先决条件。虽然PEV之间的通信链路容易受网络攻击,但我们提出了一种基于信誉的分布式频率估计方案,以检测和隔离参与频率调节的受损的PEV。在这个方案中,每个PEV都可以区分其邻居?基于仅在分配变电站的分布式频率估计和/或频率测量的不当行为。然后,设计了分布式负载频率控制(DLFC)策略以集成基于信誉的弹性分布式频率估计方案。进行各种通信拓扑结构的测试,以验证所提出的基于信誉的分布式频率估计方案。四面积电力系统的仿真结果在检测和隔离后验证所提出的DLFC策略可以在遭受负载变化时快速调节频率。

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