负荷突变下基于神经网络的MRAC混合微电网负荷频率控制

M. M. Mahdi, Ekhlas Mhawi Thajeel, A. Z. Ahmad
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引用次数: 4

摘要

摘要:在电力系统中,频率和发电量的控制通常被称为负荷频率控制。本文重点研究了基于自适应控制器的两种控制方案,以跟踪负荷的突然增长,实现并网到孤岛模式的平稳过渡,提高混合微电网的性能。一种方案采用模型参考自适应控制器(MRAC)开发基于自适应比例积分(API)控制器的同步发电机LFC,实现并网模式到孤岛模式的平滑过渡。另一种方案采用MRAC和神经网络,进一步改进经典MRAC控制器中的误差信号减小,并覆盖负载突然变化时功率共享时的频率波动。利用估计的参数更新传统MRAC控制器的增益,以获得微电网的最佳控制性能。利用MATLAB-Simulink对所设计的控制器进行了仿真分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Load Frequency Control for Hybrid Micro-grid Using MRAC with ANN Under-sudden Load Changes
Abstract- The frequency and power generation control in a power system is usually referred to as a load frequency control. This paper focuses on two control schemes based on the adaptive controller to track sudden load increase and smooth the transfer from grid-connected to island mode and improving the performance of hybrid micro-grid. One scheme uses a model reference adaptive controller (MRAC) to develop the LFC of synchronous generator based on adaptive proportional-integral (API) controller, and to smooth the transfer from grid-connected to island mode. The other scheme employs an MRAC with a Neural Network to further modify the reduction of error signal in the classic MRAC controller and cover any fluctuations in frequency at power sharing during sudden changes in the load. The estimated parameters are used to update the gains of conventional MRAC controller to obtain the best control performance of the micro-grid. The proposed controller is validated by computer simulation analysis using MATLAB-Simulink.
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