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A Fuzzy logic based power management system for an integrated AC-DC hybrid microgrid model

机译:集成AC-DC混合微电网模型的基于模糊逻辑的电源管理系统

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Recent development in Fuzzy logic control algorithm has led to the advancement of the existing smart grid technologies where it requires powerful control algorithm in an uncertain environment due to high penetration of the Renewable Energy Sources(RES). Due to the adaptive and human-like control decisions taken by Fuzzy Inference System (FIS), this would be much suitable to tolerate the uncertainties caused in multi-scenario operation of Micro Grid(MG). This paper presents an enhanced control methodology for a DC busbar in AC-DC hybrid MG with an agent based automated distribution system. A laboratory scaled MG which contains a few Dispersed Generators(DGs), a storage devices and a distribution system based on Multi Agent System(MAS) along with the protection system, advanced smart metering system and reliable communication methodology has been developed as a fully automated operating system in both grid connected and islanded modes for the purpose of governing better modes of control. This improvement in control needs to be simulated in the MATLAB/SIMULINK environment to ensure its capability to restore the disturbed situation prior to the hardware implementation.
机译:模糊逻辑控制算法的最新发展导致了现有智能电网技术的发展,该技术由于可再生能源(RES)的高普及率而在不确定的环境中需要强大的控制算法。由于模糊推理系统(FIS)做出的自适应和类人控制决策,这将非常适合承受微电网(MG)的多场景操作中引起的不确定性。本文提出了一种基于代理的自动配电系统,用于AC-DC混合型MG中的直流母线的增强控制方法。已开发出一种实验室规模的MG,它是全自动的,其中包含一些分散发电机(DG),存储设备和基于多代理系统(MAS)的配电系统以及保护系统,先进的智能计量系统和可靠的通信方法并网和孤岛模式下的操作系统,以控制更好的控制模式。控制的这种改进需要在MATLAB / SIMULINK环境中进行仿真,以确保其在硬件实施之前能够恢复受干扰情况的能力。

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