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Self-adjusting Inertia Emulation Control in V2G Application

机译:V2G应用中自调节惯性仿真控制

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in this paper, we propose an improved control mechanism for a microgrid. This happens through adding a controlling measure and algorithm one step ahead of the combination of inertia emulation control technique and droop control. This controlling step is a self-adjusting control system designed for a stable electrical grid model. This control technique applied to a home that is furnished with Photo-voltaic (PV) system and Vehicle to Grid (V2G) capable Electric Vehicle (EV). This control could run in both grid-connected and islanded modes in a microgrid application. The model is used to achieve an improvement in frequency over the standard droop/inertia emulation control method, in case of load changes and faults. The provided control system can handle different scenarios such as sudden load changes and transient conditions through dealing with the power of the battery and PV to regulate the voltage and frequency in this microgrid system. This control technique will achieve a better result compared to the standard control technique. Both models are implemented in MATLAB/Simulink. The results for the simulations are presented, showing the improvements over the fixed values of the controller.
机译:在本文中,我们提出了微电网的改进的控制机制。这种情况通过添加控制措施和前方惯性仿真控制技术的组合的算法一个步骤和下垂控制。此控制步骤是自调节控制系统设计用于稳定的电网模型。这种控制技术应用于配有照片光伏(PV)系统和车辆到电网(V2G)能电动汽车(EV)家庭。这种控制可以在微电网应用包括电网连接和孤岛模式下运行。该模型被用于实现频率在标准下垂/惯性模拟控制方法的改进,在负载变化和故障情况。所提供的控制系统能够处理不同的方案,例如负载突然变化,并通过与所述电池和PV的功率处理,以调节在该微电网系统的电压和频率瞬态条件。相对于标准控制技术这种控制技术会取得更好的结果。两款机型都在MATLAB / Simulink环境中实现。为模拟的结果被呈现,显示随该控制器的固定值的改进。

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