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A synchronous reference frame intelligent structure for power control of distributed generators in a microgrid

机译:微电网中分布式发电机电源控制的同步参考帧智能结构

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This paper presents an adaptive power control scheme capable of online learning and self-tuning for microgrid applications. Conventional PI controllers, typically implemented in synchronous (dq) reference frame, have been traditionally used in power control of distributed generators (DGs). Despite having good behavior in controlling dc variables, these controllers show poor response in case of load changes and high penetration of DGs in the microgrid. In our proposed approach a fuzzy logic inspired critic-based control is combined with traditional PI regulators to consolidate intelligence and robustness in the system. The resulted control scheme is a self-tuning and adaptive control with on-line learning capability. Simulation results verify the superiority and effectiveness of the proposed algorithm compared to traditional approaches.
机译:本文介绍了一种能够在线学习和自我调整的自适应功率控制方案,用于微电网应用。 通常在同步(DQ)参考帧中实现的传统PI控制器已经传统上用于分布式发电机(DGS)的功率控制。 尽管在控制DC变量方面具有良好的行为,但这些控制器在MicroGrid中的负载变化和DGS的高渗透率下表现出较差的反应。 在我们提出的方法中,将模糊逻辑启发的评论权控制与传统的PI监管机构相结合,巩固系统中的智能和鲁棒性。 产生的控制方案是具有在线学习能力的自调谐和自适应控制。 仿真结果验证了与传统方法相比算法的优势和有效性。

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