基于q -学习方法的孤立微电网AGC系统仿真模型

Penghu Wang, Hao Tang, K. Lv
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引用次数: 3

摘要

本文研究了具有多个分布式能源的孤立微电网的自动发电控制问题。首先,通过对各分布式发电(DG)发电特性的分析,建立了包含柴油机发电机、超磁储能、风力发电机组和光伏发电系统的孤立型微电网负荷频率控制(LFC)模型。利用MATLAB/Simulink建立了以柴油发电机为频率控制单元的隔离微电网LFC模型。基于电网的AGC原理,采用基于折扣补偿模型的Q学习算法设计微电网系统的AGC控制器,完成频率控制。仿真结果验证了隔离微网模型的可行性,与PI控制器相比,Q控制器具有高效的动态性能。
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Simulation Model for the AGC System of Isolated Microgrid Based on Q-learning Method
The automatic generation control (AGC) in isolated microgrid with multiple distributed energy resources is concerned in this study. First, the load frequency control (LFC) model of an isolated microgrid, which contains diesel engine generators, super-magnetic magnetic energy storage, wind turbines and photovoltaic power system, is established through the analysis of the power generation characteristics of each distributed generation (DG). The LFC model of an isolated microgrid is built by MATLAB/Simulink with diesel generators as frequency control units. Based on the AGC principle of power grid, the AGC controller of the microgrid system is designed by the Q learning algorithm based on the discount compensation model to complete the frequency control. The simulation results verify the feasibility of the isolated microgrid model, showing the efficient dynamic performance of Q controller by compared with PI controller.
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