使用RBF的单区和双区LFC

Sayari Das, Devesh Shukla, S. P. Singh
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引用次数: 2

摘要

从稳定的角度来看,工作频率的控制在电力系统运行和控制中至关重要。传统的负荷频率控制是采用PI控制器来完成的。及时控制系统的频率振荡对避免危险情况的发生至关重要。迫切需要的是引入一种比传统PI控制器更快速的控制器。本文将人工神经网络应用于单区和双区负荷频率控制。使用状态空间技术对单区域和双区域情况进行了建模。利用Runge Kutta技术对系统进行时域分析得到训练数据,并用于训练基于Levenberg-Marquardt和径向基的神经网络。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Single and two area LFC using RBF
The control of operating frequency is of utmost importance in the power system operation and control from stability point of view. Conventionally load frequency control is done by employing PI controllers. Immediate control of system frequency oscillation is very vital to avoid hazardous conditions. Need of the hour is to introduce a fast controller superior to the conventional PI controller. In this paper Artificial Neural Network is used for Load Frequency Control of single and two area load frequency control. Both single area and two area cases are modelled using state space technique. The training data is obtained from time domain analysis of the system using Runge Kutta technique and used for training the Levenberg-Marquardt and Radial Basis based neural network.
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