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D-STATCOM Control based on Self-tuning PI with Neural Networks

机译:基于神经网络自校正PI的D-STATCOM控制

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Power distribution system installed with D-STATCOM (Distribution Static Synchronous Compensator) is a large-scale nonlinear,multivariable system.The traditional PI controller is not content to modern control requirement because of its fixation parameters.In this paper,node voltage control strategy of D-STATCOM based on self-adaptive PI controller with neural network is proposed,and the controller structure is designed.In dynamic process,PI parameters of the node voltage controller are on-line adjusted with neural networks.Thus,this controller is good at robustness and adaptability.The simulation model of the control system is built in the MATLAB dynamic simulation platform,based on which the regulating process of note voltage is simulated.The result verified the adaptability and feasibility of the proposed control strategy.
机译:装有D-STATCOM(配电静态同步补偿器)的配电系统是一个大型的非线性多变量系统。传统的PI控制器由于其固定参数而不能满足现代控制要求。提出了基于神经网络自适应PI控制器的D-STATCOM,并设计了控制器结构。在动态过程中,节点电压控制器的PI参数通过神经网络在线调整。在MATLAB动态仿真平台上建立了控制系统的仿真模型,在此基础上仿真了笔记电压的调节过程。结果验证了所提出控制策略的适应性和可行性。

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