ZAKARIYA AL-HAMOUZ - Academia.edu (original) (raw)

Papers by ZAKARIYA AL-HAMOUZ

2018 Innovations in Intelligent Systems and Applications Conference (ASYU), 2018

Early detection of different faults will assist motor operation and prevent it from complete dama... more Early detection of different faults will assist motor operation and prevent it from complete damage. Condition monitoring is extremely important to monitor the motor status and isolate it under failure conditions. This paper will propose a MATLAB® mathematical based neural network model for early detection of static eccentricity fault in line start permanent magnet synchronous (LSPMS) Motors. Under different combinations of fault-load conditions, the motor will be simulated to specify the characteristic of this fault. The line current will be utilized to extract the distinct principal components. The efficient selected components will be used as the input of neural network to recognize the percentage of occurrence as well as the fault's severity. The network will be trained over a specified range of static eccentricity degrees. Besides, it will be tested for unseen cases to qualify the effectiveness of the trained neural network. The testing results show a detection accuracy in ...

Energies, 2018

Line start permanent magnet synchronous motors experience different types of failures, including ... more Line start permanent magnet synchronous motors experience different types of failures, including static eccentricity. The first step in detecting such failures is the mathematical modeling of the motor under healthy and failed conditions. In this paper, an attempt to develop an accurate mathematical model for this motor under static eccentricity is presented. The model is based on the modified winding function method and coupled magnetic circuits approach. The model parameters are calculated directly from the motor winding layout and its geometry. Static eccentricity effects are considered in the motor inductances calculation. The performance of the line start permanent magnet synchronous motor using the developed mathematical model is investigated using MATLAB/SIMULINK® software (2013b, MathWorks, Natick, MA, USA) under healthy and static eccentricity condition for different loading values. A finite element method analysis is conducted to verify the mathematical model results, usin...

IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society, 2016

Line start permanent magnet synchronous motors (LSPMSMs) are now being widely used in the industr... more Line start permanent magnet synchronous motors (LSPMSMs) are now being widely used in the industry because of their attractive features such as, high efficiency, high power factor as well as high power density. Accurate modeling of LSPMSMs is the first step in recognizing abnormalities in such motors. This paper presents a step towards an accurate mathematical modelling of LSPMS motor under asymmetrical stator windings condition. The developed mathematical model has been implemented using MATLAB/SIMULINK. A 4hp, 4-pole, 380V LSPMS motor is used in the simulation of the developed model to investigate the performance of the motor under different loading levels and stator winding asymmetric conditions. Simulation results show that under asymmetrical stator winding oscillation are clear in the electromagnetic torque. In addition, due to this asymmetry in stator windings, the torque experience high oscillations at steady state when compared to the transient period.

2015 IEEE International Conference on Industrial Technology (ICIT), 2015

In this paper, a non-linear model predictive controller (NMPC) is formulated as an objective func... more In this paper, a non-linear model predictive controller (NMPC) is formulated as an objective function aiming to track the rotor speed for a wind turbine. The proposed controller is applied directly to the nonlinear model of wind turbine without the use of any linearization technique. When compared to methods reported in the literature, the simulation results showed that the proposed controller outperforms what has been reported before.

2003 IEEE 10th International Conference on Transmission and Distribution Construction, Operation and Live-Line Maintenance, 2003. 2003 IEEE ESMO.

The Saudi Electricity Company (SEC) is the only electricity company in the Kingdom of Saudi Arabi... more The Saudi Electricity Company (SEC) is the only electricity company in the Kingdom of Saudi Arabia. More than 37% of the load of Eastern Region Branch (SEC-ERB), which was formerly known as (SCECO-East), is industrial and mainly related to oil and gas extraction and is critically sensitive to voltage fluctuations (dips). Its electric network operates under very harsh environments. These

Conference Record of the 1999 IEEE Industry Applications Conference. Thirty-Forth IAS Annual Meeting (Cat. No.99CH36370)

This paper is aimed at the analysis of corona power loss associated with wire duct electrostatic ... more This paper is aimed at the analysis of corona power loss associated with wire duct electrostatic precipitators (WDEP). The finite element method (FEM) is used to solve the Poisson's equation and a modified method of characteristics is used to satisfy the current continuity condition. The two methods are repeated iteratively to get a self consistent solution of the describing equations. The effectiveness of this approach is tested by comparing the computed results with previously experimental and calculated values. The agreement with experimental results is found to be satisfactory

Conference Record of the 2000 IEEE Industry Applications Conference. Thirty-Fifth IAS Annual Meeting and World Conference on Industrial Applications of Electrical Energy (Cat. No.00CH37129), 2000

Absrract-a power system stabilizer (PSS) of a single machine power system model has been designed... more Absrract-a power system stabilizer (PSS) of a single machine power system model has been designed using a neural network based variable structure controller (VSC). The need for adaptive VSC comes from the fact that the power system model operates over a wide range of operating points, some of which are unstable, and hence no single VSC gains are sufficient for the entire operating range. Neural networks are used for on-line prediction of the suitable VSC gains when the operating point changes. Simulation results are included to demonstrate the performance of the proposed control scheme.

IEEE/PES Transmission and Distribution Conference and Exhibition

A modified formulation of the transmission expansion planning (TEP) problem is proposed by revisi... more A modified formulation of the transmission expansion planning (TEP) problem is proposed by revising the objective function and operating constraints to include the corona power loss term. Consequently, the objective function includes the cost of investment of transmission lines, the ohmic power loss as well as the corona power loss, which reveals a highly nonlinear objective function. Hence, the nonlinear programming or the non-convex optimization techniques are utilized to solve such large-scale practical problems. The new formulation has been applied to the wellknown Garver's 6-bus system. It has been found that for a range of tariffs of kWh, the total cost of the expanded network (when including the corona power loss) is less than that when excluding this new term. Comparison with previously reported work is also included.

IEEE Transactions on Industry Applications, 1999

In this paper, the corona current and, hence, the corona power loss associated with bundle conduc... more In this paper, the corona current and, hence, the corona power loss associated with bundle conductors is estimated by an iterative computational technique based on the finite-element and charge-simulation methods. The investigated bundled transmission lines consist of one, two, and three conductors. Variation of the corona power loss as a function of the number of conductors, conductors orientation, as well as the bundle spacing, is investigated. The contribution of each bundle conductor to the total corona power loss is also reported. A laboratory model was built to investigate the effectiveness of the iterative technique. It has been found that the computed results agree well with the experimental values

European Transactions on Electrical Power, 2006

In order to perform micro-PIXE measurements on water trees in underground HV cables when a large ... more In order to perform micro-PIXE measurements on water trees in underground HV cables when a large number of cable samples are involved, a sequence of tests has been devised to minimize time and effort for sample preparation, water tree detection and analysis. These tests include electrical diagnostic tests to predict the possible presence of water trees, optical microscopy on cable insulation to detect water trees in the samples screened by the electrical tests, scanning electron microscopy for detailed surface topography of water trees, and nuclear microscopy for elemental composition and distribution maps of water trees. Correlations among the results of the four types of measurements are discussed to evaluate the usefulness of the methodology

IEEE Transactions on Industry Applications, 2002

In this paper, computation of the corona current and, hence, the corona power loss associated wit... more In this paper, computation of the corona current and, hence, the corona power loss associated with bipolar high-voltage direct current (HVDC) conductors is presented using the finite-element method (FEM) and the method of characteristics (MOC). The former method is used to solve Poisson's equation while the latter is used to satisfy the current continuity condition. The ground-plane current density and electric field profiles associated with the HVDC conductors are also calculated as a prerequisite for the computation of the corona current. The effectiveness of the present method is demonstrated using HVDC full-scale and laboratory-model transmission lines. Horizontal and vertical bipolar configurations are tested with 2 and 4 bundles. Comparison between previously measured and computed profiles and present calculations shows satisfactory agreement with previous measured and calculated values.

This paper presents a newly proposed Model Predictive (MPC) scheme featuring Particle Swarm Optim... more This paper presents a newly proposed Model Predictive (MPC) scheme featuring Particle Swarm Optimization (PSO) technique applied to nonlinear single area Automatic Generation Control (AGC). The proposed scheme formulates the MPC as an optimization problem and PSO is used to find its solution. Single area AGC model is used and it incorporates Generation Rate Constraint (GRC) nonlinearities and constraints on the control input. The simulations results show improvement over previous AGC methods reported in the literature and signify the strengths of the proposed MPC scheme. Furthermore, performance of controller is also explored for varying GRC values and power demands.

This paper presents a new approach for formulating and solving the transmission expansion plannin... more This paper presents a new approach for formulating and solving the transmission expansion planning (TEP) problem. The main improvement is in introducing the corona power loss in the objective function and operating constraints. Introducing this new term reveals a nonlinear objective function which is solved by the genetic algorithms technique (GA). The corona power loss term has been tried for a practical number of sub-conductors (1, 2, 3, and 4) and practical sub-conductor radii. In order to test and justify this new formulation, it has been applied to Garver's 6-bus test sytem The outcome of the expansion process is the optimal scenario which defines the number of lines to be added. For each added line, the number and radii of sub conductors, phase spacing, height, and bundle radius are also generated as a result of the expansion process. When compared to previously reported TEP attempts, simulation results show a reduction in the total cost of the expanded network

This paper presents a new method of designing Variable Structure Controllers (VSC) applied to the... more This paper presents a new method of designing Variable Structure Controllers (VSC) applied to the Load Frequency Control (LFC) problem. The proposed method formulates the design of VSC as an optimization problem and utilizes Tabu Search Algorithm (TS) to find the optimal settings of the controller. The objective function used in the optimization process guarantees enhancement of the controller performance and reduces VSC chattering. The designed VSC is applied to LFC model that incorporates the nonlinearity of the Generation Rate Constraint (GRC). Furthermore, the complexity of the controller is reduced by using only the accessible states in designing the VSC. Comparison with other LFC methods reported in literature validates the significance of the proposed VSC design. K e y w o r d s: variable structure control (VSC), load frequency control (LFC), Tabu Search Algorithm (TS)

WSEAS Transactions on Systems and Control archive, 2010

This paper presents a Particle Swarm Optimization (PSO) based Model Predictive Control (MPC) sche... more This paper presents a Particle Swarm Optimization (PSO) based Model Predictive Control (MPC) scheme applied to Automatic Generation Control (AGC) systems. The proposed scheme formulates the MPC as an optimization problem and PSO is used to find its solution. Single area AGC model is taken incorporating Generation Rate Constraint (GRC) nonlinearities and constraints on the control input. Two interconnected area AGC system excluding nonlinearity is also studied. The simulation results draw several comparisons to preceding literature showing significant improvements and signifying the strengths of the proposed MPC scheme. Furthermore, performance of controller is also explored for varying power demands, different GRC values and parameter variations

Electric Machines & Power Systems, 1990

In this paper, the problem of transmission networks expansion has been solved by considering the ... more In this paper, the problem of transmission networks expansion has been solved by considering the cost of losses as well as the cost of investment in the objective function. The problem is solved using an exact quadratic programming technique. This new formulation has been applied to a 6- bus system. The final configurations, which are characterized by minimum cost of