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Article
Damping of Power Systems Oscillations by using Genetic Algorithm-Based Optimal Controller

Author: Akram F. Bati
Journal: Iraqi Journal for Electrical And Electronic Engineering المجلة العراقية للهندسة الكهربائية والالكترونية ISSN: 18145892 Year: 2010 Volume: 6 Issue: 1 Pages: 50-55
Publisher: Basrah University جامعة البصرة

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Abstract

In this paper, the power system stabilizer (PSS) andThyristor controlled phase shifter(TCPS) interaction is investigated .The objective of this work is to study and design a controllercapable of doing the task of damping in less economical controleffort, and to globally link all controllers of national network in anoptimal manner , toward smarter grids . This can be well done if aspecific coordination between PSS and FACTS devices , isaccomplished . Firstly, A genetic algorithm-based controller isused. Genetic Algorithm (GA) is utilized to search for optimumcontroller parameter settings that optimize a given eigenvalue basedobjective function.Secondly, an optimal pole shifting, based on moderncontrol theory for multi-input multi-output systems, is used. Itrequires solving first order or second order linear matrix Lyapunovequation for shifting dominant poles to much better location thatguaranteed less overshoot and less settling time of systemtransient response following a disturbance.


Article
Chaos Algorithm versus Traditional and Optimal Approaches for Regulating Line Frequency of Steam Power System

Authors: Ali M. Yosuf --- Ahmed A. AbdElhafez
Journal: Iraqi Journal for Electrical And Electronic Engineering المجلة العراقية للهندسة الكهربائية والالكترونية ISSN: 18145892 Year: 2018 Volume: 14 Issue: 2 Pages: 120-126
Publisher: Basrah University جامعة البصرة

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Abstract

Load Frequency Control (LFC) is a basic control strategy for proper operation of the power system. It ensures the ability of each generator in regulating its output power in such way to maintain system frequency and tie-line power of the interconnected system at prescribed levels. This article introduces comprehensive comparative study between Chaos Optimization Algorithm (COA) and optimal control approaches, such as Linear Quadratic Regulator (LQR), and Optimal Pole Shifting (OPS) regarding the tuning of LFC controller. The comparison is extended to the control approaches that result in zero steady-state frequency error such as Proportional Integral (PI) and Proportional Integral Derivative (PID) controllers. Ziegler-Nicholas method is widely adopted for tuning such controllers. The article then compares between PI and PID controllers tuned via Ziegler-Nicholas and COA. The optimal control approaches as LQR and OPS have the characteristic of steady-state error. Moreover, they require the access for full state variables. This limits their applicability. Whereas, Ziegler-Nicholas PI and PID controllers have relatively long settling time and high overshoot. The controllers tuned via COA remedy the defects of optimal and zero steady-state controllers. The performance adequacy of the proposed controllers is assessed for different operating scenarios. Matlab and its dynamic platform, Simulink, are used for stimulating the system under concern and the investigated control techniques. The simulation results revealed that COA results in the smallest settling time and overshoot compared with traditional controllers and zero steady-state error controllers. In the overshoot, COA produces around 80% less than LQR and 98.5% less than OPS, while in the settling time, COA produces around 81% less than LQR and 95% less than OPS. Moreover, COA produces the lowest steady-state frequency error. For Ziegler-Nicholas controllers, COA produces around 53% less in the overshoot and 42% less in the settling time.

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