Optimum Design of Power System Stabilizer based on Improved Ant Colony Optimization Algorithm

Ruba AL-MulaHumadi; Nizar Hadi Abbas; Mohanad Azeez Joodi

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Publication Date

Sun Jan 14 2018

Journal Name

Journal Of Engineering

Volume

24

Issue Number

1

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Optimum Design of Power System Stabilizer based on Improved Ant Colony Optimization Algorithm

SMIB

PSS

ACO.

Ruba AL-MulaHumadi

Nizar Hadi Abbas

Mohanad Azeez Joodi

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This paper presents an improved technique on Ant Colony Optimization (ACO) algorithm. The procedure is applied on Single Machine with Infinite Bus (SMIB) system with power system stabilizer (PSS) at three different loading regimes. The simulations are made by using MATLAB software. The results show that by using Improved Ant Colony Optimization (IACO) the system will give better performance with less number of iterations as it compared with a previous modification on ACO. In addition, the probability of selecting the arc depends on the best ant performance and the evaporation rate.

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Publication Date

Mon Dec 31 2012

Journal Name

Al-khwarizmi Engineering Journal

Field Programmable Gate Array (FPGA) Model of Intelligent Traffic Light System with Saving Power

Intelligent Traffic light system

Intelligent Traffic light controllers

Traffic light algorithm

FPGA

Xilinx ISE 9.2i

Ali Hashim

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In this paper, a FPGA model of intelligent traffic light system with power saving was built. The intelligent traffic light system consists of sensors placed on the side's ends of the intersection to sense the presence or absence of vehicles. This system reduces the waiting time when the traffic light is red, through the transition from traffic light state to the other state, when the first state spends a lot of time, because there are no more vehicles. The proposed system is built using VHDL, simulated using Xilinx ISE 9.2i package, and implemented using Spartan-3A XC3S700A FPGA kit. Implementation and Simulation behavioral model results show that the proposed intelligent traffic light system model satisfies the specified operational req

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Publication Date

Wed Jul 31 2019

Journal Name

Journal Of Engineering

A Comparative Study of Various Intelligent Optimization Algorithms Based on Path Planning and Neural Controller for Mobile Robot

path planning

mobile robot

neural controller

obstacles avoidance

cognitive system.

Ahmed S.

Bakir A.

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In this paper, a cognitive system based on a nonlinear neural controller and intelligent algorithm that will guide an autonomous mobile robot during continuous path-tracking and navigate over solid obstacles with avoidance was proposed. The goal of the proposed structure is to plan and track the reference path equation for the autonomous mobile robot in the mining environment to avoid the obstacles and reach to the target position by using intelligent optimization algorithms. Particle Swarm Optimization (PSO) and Artificial Bee Colony (ABC) Algorithms are used to finding the solutions of the mobile robot navigation problems in the mine by searching the optimal paths and finding the reference path equation of the optimal

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(4)

Publication Date

Mon Jan 13 2020

Journal Name

Day 3 Wed, January 15, 2020

Numerical Simulation of Gas Lift Optimization Using Genetic Algorithm for a Middle East Oil Field: Feasibility Study

Constrained optimization

Gas lifts

Gases

Gasoline

Genetic algorithms

Life cycle

Natural gas fields

Numerical models

Offshore oil well production

Oil fields

Mustafa

Mofazzal

Omar

Akim

Abbas

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<p>Gas-lift technique plays an important role in sustaining oil production, especially from a mature field when the reservoirs’ natural energy becomes insufficient. However, optimally allocation of the gas injection rate in a large field through its gas-lift network system towards maximization of oil production rate is a challenging task. The conventional gas-lift optimization problems may become inefficient and incapable of modelling the gas-lift optimization in a large network system with problems associated with multi-objective, multi-constrained, and limited gas injection rate. The key objective of this study is to assess the feasibility of utilizing the Genetic Algorithm (GA) technique to optimize t</p> ... Show More

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(15)

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Publication Date

Mon Jan 01 2018

Journal Name

Journal Of Engineering

Optimal Economic Design of Diversion Structures during Construction of a Dam by Particle Swarm Optimization

Raghad

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Publication Date

Mon Jan 01 2018

Journal Name

International Journal Of Science And Research (ijsr)

Optimal Economic Design of Diversion Structures during Construction of a Dam by Particle Swarm Optimization

Diversion channel

Optimization

PSO Algorithm

Optimal economic design

Dam construction

Basim H.

Raghad S.

Noor S.

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Diverting river flow during construction of a main dam involves the construction of cofferdams, and tunnels, channels or other temporary passages. Diversion channels are commonly used in wide valleys where the high flow makes tunnels or culverts uneconomic. The diversion works must form part of the overall project design since it will have a major impact on its cost, as well as on the design, construction program and overall cost of the permanent works. Construction costs contain of excavation, lining of the channel, and construction of upstream and downstream cofferdams. The optimization model was applied to obtain optimalchannel cross section, height of upstream cofferdam, and height of downstream cofferdamwith minimum construction cost

Publication Date

Wed Sep 07 2022

Journal Name

2022 Iraqi International Conference On Communication And Information Technologies (iiccit)

Construct an Efficient DDoS Attack Detection System Based on RF-C4.5-GridSearchCV

Dhurgham

Amer

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(3)

Publication Date

Sat Jul 01 2023

Journal Name

Int. J. Advance Soft Compu. Appl,

Arabic and English Texts Encryption Using Proposed Method Based on Coordinates System

wisam

zaid

Hussein

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Publication Date

Fri Apr 01 2011

Journal Name

Al-mustansiriyah Journal Of Science

A Genetic Algorithm Based Approach For Generating Unit Maintenance Scheduling

Wathiq N.

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Publication Date

Mon Jun 01 2020

Journal Name

Iop Conference Series: Materials Science And Engineering

On Bayesian Estimation of System Reliability in Stress – Strength Model Based on Generalized Inverse Rayleigh Distribution

Iman Ghaji

Bayda Atiya

Abbas N.

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Abstract<p>The parameter and system reliability in stress-strength model are estimated in this paper when the system contains several parallel components that have strengths subjects to common stress in case when the stress and strengths follow Generalized Inverse Rayleigh distribution by using different Bayesian estimation methods. Monte Carlo simulation introduced to compare among the proposal methods based on the Mean squared Error criteria.</p>

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(4)

Publication Date

Mon Jul 31 2017

Journal Name

Journal Of Engineering

Development of an On-Line Self-Tuning FPGA-PID-PWM Control Algorithm Design for DC-DC Buck Converter in Mobile Applications

Buck Converter

Digital PID Controller

On-Line

Self-Tuning

Bees-PSO Algorithm

FPGA

Ahmed Sabah

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