Open AccessModeling of Discrete Networked Control Systems in State Space for Electrical Power System with Time Delays: نمذجة نظم التحكم الشبكية المتقطعة في فضاء الحالة لنظام قدرة كهربائية مع وجود التأخيرات الزمنية
Author(s) -
Bassem Omran Mohamad Morhaf Bachar Alnifawi
Publication year - 2021
Publication title -
mağallaẗ al-ʿulūm al-handasiyyaẗ wa-al-tiknūlūğiyā al-maʿlūmāt
Language(s) - English
Resource type - Journals
ISSN - 2522-3321
DOI - 10.26389/ajsrp.f090621
Subject(s) - control theory (sociology) , electric power system , linear quadratic regulator , stability (learning theory) , matlab , controller (irrigation) , state space representation , computer science , power (physics) , state space , state (computer science) , set (abstract data type) , electrical network , control engineering , control (management) , engineering , mathematics , statistics , physics , electrical engineering , algorithm , quantum mechanics , artificial intelligence , machine learning , agronomy , biology , programming language , operating system
Electrical power systems distributed over wide geographical areas are exposed to a set of factors that affect their stability. The most important factors are the time delays between their subsystems. In this paper, a flexible modeling method was concluded consisting of a set of generalized rules and conditions that apply to any network controlled system to ensure its stability with time delays between the elements of the controlled network. In addition, a linear quadratic regulator (LQR) controller was implemented. The aim of the LQR controller is to reduce the negative impact of the time delay on the stability of the electrical power system. The study was applied to a networked electrical power system consisting of three-generation stations distributed in three separate geographical areas. Computer simulations using MATLAB showed a remarkable improvement in the stability of the discrete networked system through the speed of damping the vibrations in the system, and the system ability to be stable at certain limits of the time delay.