H∞\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$H_{\infty }$$\end{document} Performance-Based Sliding Mode Control Approach for Load Frequency Control of Interconnected Power System with Time Delay

被引:0
作者
Subrat Kumar Pradhan
Dushmanta Kumar Das
机构
[1] National Institute of Technology Nagaland,Department of Electrical and Electronics Engineering
关键词
performance; Interconnected power system (IPS); Sliding mode control (SMC); Load frequency control (LFC); Time delay;
D O I
10.1007/s13369-020-05178-y
中图分类号
学科分类号
摘要
This paper proposes a sliding mode control (SMC) approach to design H∞\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$H_{\infty }$$\end{document} performance-based load frequency controller for interconnected power system (IPS) with time delay. Incorporating an artificial delay, a sliding surface function is designed to enhance dynamic performance of the power system. Linear matrix inequality-based stabilization criterion is derived using Lyapunov–Krasovskii functional for multi-area power system. A novel SMC law is designed with artificial delay to drive the system trajectory into the predefined sliding surface. The applicability of the proposed controller is proved by considering a two-area time-delay IPS. Performance of the controller is verified from the simulation study of the time-delay IPS with proposed controller in MATLAB/Simulink. Then, the controller performance is verified in real time by using OPAL-RT OP4510 digital simulator.
引用
收藏
页码:1369 / 1382
页数:13
相关论文
共 117 条
  • [1] Adhikari S(2019)Recovery risk mitigation of wind integrated bulk power system with flywheel energy storage IEEE Trans. Power Syst. 34 3484-undefined
  • [2] Karki R(2016)Robust Neurocomputing 193 58-undefined
  • [3] Piya P(1996) load frequency control of delayed multi-area power system with stochastic disturbances IEEE Trans. Power Syst. 11 1689-undefined
  • [4] Zhao X(2019)Nonlinear dynamic load modelling: model and parameter estimation Int. J. Electr. Power Energy Syst. 105 249-undefined
  • [5] Sun Y(2017)Constrained population extremal optimization-based robust load frequency control of multi-area interconnected power system IEEE Trans. Industr. Electron. 64 6732-undefined
  • [6] Li N(2018)Event-triggered sliding-mode control for multi-area power systems IEEE Trans. Power Syst. 33 4026-undefined
  • [7] Wei Z(2018)A wide-area dynamic damping controller based on robust IEEE/CAA J. Autom. Sinica 5 610-undefined
  • [8] Sun G(1984) control for wide-area power systems with random delay and packet dropout Int. J. Control 39 143-undefined
  • [9] Huang C(2014)Robust Int. J. Electr. Power Energy Syst. 55 51-undefined
  • [10] Ju P(1996) load frequency control of multi-area power system with time delay: a sliding mode control approach IEE Proc. Generation Transm. Distribution 143 377-undefined