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Multi-source dynamic coordinated control strategy for DC micro grid based on fuzzy control

机译:基于模糊控制的直流微网格多源动态协调控制策略

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The DC microgrid can provides an effective solution for integration of various loads, distributed generations (DGs), and distributed storages. With the expansion of DC microgrid capacity, coordinated control between multiple distributed generations has become a research hotspot. The conventional droop control has low accuracy of load current sharing due to the inconsistent parameters in the DC microgrid. To solve this problem, based on the fuzzy algorithm, this paper designs a distributed hierarchical control structure of DC microgrid, and sets corresponding control strategies at each layer to achieve multi-source dynamic coordination. Firstly, the influence of line resistance on load current sharing is analyzed in detail. Then, the fuzzy controller is designed to dynamically change the virtual resistance. Finally, the secondary compensation control is used to eliminate bus voltage deviation. The simulation model is built by Matlab/Simulink and the simulation results verify the effectiveness of the designed control strategy.
机译:DC MicroGrid可以提供各种负载,分布代(DGS)和分布式存储器的整合的有效解决方案。随着DC微电网容量的扩展,多个分布式代代之间的协调控制已成为研究热点。由于DC微电网中的参数不一致,传统的下垂控制具有低的负载电流共享精度。为了解决这个问题,基于模糊算法,本文设计了DC MicroGrid的分布式分层控制结构,并在每层设置相应的控制策略,以实现多源动态协调。首先,详细分析了线电阻对负载电流共享的影响。然后,模糊控制器旨在动态地改变虚拟电阻。最后,二次补偿控制用于消除总线电压偏差。模拟模型由Matlab / Simulink构建,仿真结果验证了设计控制策略的有效性。

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