Prediction-Based Sliding Mode Load Frequency Control with Unknown I/O Time Delays using Delay and Disturbance Estimation

Ark Dev, Sumant Anand, Mrinal Kanti Sarkar
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引用次数: 2

Abstract

The paper investigates prediction-based sliding mode load frequency control (LFC) with unknown input and output (I/O) time delays using delay estimation. The control architecture consists of a prediction-based super twisting control (STC), higher order sliding mode observer (HOSMO), disturbance observer and a delay estimator. The unknown round trip delay (algebraic sum of I/O delays) is estimated using a gradient descent algorithm. Single area power system model is considered to validate the effectiveness of the proposed architecture. The sliding surface is designed based on predictor states and estimated disturbance. The efficacy of the control scheme lies in finite time convergence of frequency under load disturbance with I/O time delays. Furthermore, frequency deviation in hybrid power system is also observed with an integration of wind and solar energies. Asymptotic stability is theoretically proved using Lyapunov functional candidate and verified using simulation.
基于延迟和干扰估计的未知I/O时延滑模负载频率预测控制
本文利用时延估计方法研究了具有未知输入输出时延的基于预测的滑模负载频率控制(LFC)。控制结构由基于预测的超扭转控制(STC)、高阶滑模观测器(HOSMO)、扰动观测器和时延估计器组成。使用梯度下降算法估计未知的往返延迟(I/O延迟的代数和)。以单区域电力系统模型为例,验证了所提架构的有效性。滑动面是基于预测状态和估计扰动设计的。该控制方案的有效性在于具有负载扰动和I/O时延下频率的有限时间收敛性。此外,在风能和太阳能集成的情况下,还观察到混合电力系统的频率偏差。用Lyapunov候选泛函从理论上证明了系统的渐近稳定性,并用仿真验证了系统的渐近稳定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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