An adaptive control strategy for microgrid secondary frequency based on parameter identification

IF 1.9 Q4 ENERGY & FUELS Global Energy Interconnection Pub Date : 2023-10-01 DOI:10.1016/j.gloei.2023.10.006
Yong Shi , Yin Cheng , Bao Xie , Jianhui Su
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引用次数: 0

Abstract

Complex microgrid structures and time-varying conditions, among other factors, cause problems in the mechanical modeling of microgrids, making model-based controller optimization difficult. Therefore, this study proposed a secondary frequency adaptive control strategy based on parameter identification, which uses an online parameter identification method to identify the parameters in the microgrid in real-time. The identified parameters are then used in the secondary frequency adaptive controller to optimize the real-time controller performance. The proposed method realizes adaptive optimization of the controller in the microgrid operation state and is applied to a microgrid with unknown parameters to adjust the controller parameters. Finally, a simulation experiment was conducted to verify the model accuracy and the frequency regulation effect of the proposed adaptive control strategy

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基于参数辨识的微电网二次频率自适应控制策略
复杂的微电网结构和时变条件等因素导致微电网的机械建模出现问题,使基于模型的控制器优化变得困难。因此,本研究提出了一种基于参数识别的二次频率自适应控制策略,该策略使用在线参数识别方法实时识别微电网中的参数。识别出的参数然后在次级频率自适应控制器中使用,以优化实时控制器性能。该方法实现了微电网运行状态下控制器的自适应优化,并应用于参数未知的微电网,对控制器参数进行调整。最后,通过仿真实验验证了模型的准确性和自适应控制策略的调频效果
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来源期刊
Global Energy Interconnection
Global Energy Interconnection Engineering-Automotive Engineering
CiteScore
5.70
自引率
0.00%
发文量
985
审稿时长
15 weeks
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