基于RBF神经网络控制的微电网谐波抑制策略  

作　　者：朱鹏鹏 张钦臻 

机构地区：[1]上海电力大学电子与信息工程学院,上海200090

出　　处：《科技创新与应用》2021年第11期139-141,145,共4页Technology Innovation and Application

摘　　要：针对微电网中补偿装置与非线性负载导致的谐波问题,文章进行原因分析并提出抑制方法。以孤网状态下运行的微电网为例,对VSC采用下垂控制与RBF神经网络控制相结合的策略。通过RBF神经网络对谐波电流造成的电压畸变模型进行逼近,以实现抵消其影响的目的。最后通过仿真验证该方案的可行性与有效性,能够仅通过改进控制器来改善电能质量,降低系统投入成本。Aiming at the harmonic problem caused by the compensation device and the nonlinear load in the Microgrid,the reason is analyzed and the suppression method is proposed.Taking the Microgrid operating in the isolated grid state as an example,the strategy of combining droop control and RBF neural network control is adopted for VSC.The RBF neural network is used to approximate the voltage distortion model caused by the harmonic current,in order to achieve the purpose of offsetting its influence.Finally,the feasibility and effectiveness of the scheme are verified by simulation,and the power quality can be improved only by improving the controller,and the system investment cost can be reduced.

关 键 词：微电网 电能质量 RBF神经网络 谐波抑制 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]