A neuro-fuzzy VDCL unit to enhance the performance of an HVDC system

K. Narendra, V. Sood, R. Patel, K. Khorasani
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引用次数: 12

Abstract

A neuro-fuzzy (NF) voltage dependent current-reference limiter (VDCL) unit to enhance the performance of an HVDC system is proposed in this paper. This unit utilizes a new method of combining a radial basis function neural network (RBFNN) output with a fuzzy inference mechanism to produce an adaptive current reference for the HVDC controller. Results from simulations show that this adaptive current reference improves the performance of the HVDC system under dynamic operating conditions.
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一种用于提高高压直流系统性能的神经模糊VDCL单元
提出了一种神经模糊(NF)电压相关基准限流器(VDCL)单元来提高高压直流系统的性能。该单元采用径向基函数神经网络(RBFNN)输出与模糊推理机制相结合的新方法,为HVDC控制器产生自适应电流参考。仿真结果表明,该自适应电流基准提高了直流系统在动态运行条件下的性能。
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