Al-Hamouz

Zakariya Al-Hamouz US

Patent application number	Description	Published
20110257800	Particle swarm optimizing sliding mode controller - The particle swarm optimizing sliding mode controller is applied to an interconnected Automatic Generation Control (AGC) model. The system formulates the SMC design as an optimization problem and utilizes a Particle Swarm Optimization (PSO) algorithm to find the optimal feedback gains and switching vector values of the controller. Two performance functions are used in the optimization process to demonstrate the system dynamical performance and SMC chattering reduction. The tested two-area interconnected AGC model incorporates nonlinearities in terms of Generation Rate Constraint (GRC) and a limiter on the integral control value.	10-20-2011

Patent application number	Description	Published
20110307198	System and method for estimating corona power loss in a dust-loaded electrostatic precipitator - The method for estimating corona power loss in a dust-loaded electrostatic precipitator numerically solves Poisson's equation and current continuity equations in which the finite element method (FEM) and a modified method of characteristics (MMC) are used. The system is a computerized system that produces results showing how different parameters such as discharging wire radius, wire-to-wire spacing, wire-to-plate spacing, fly ash flow speed and applied voltage polarity influence corona power loss and current density profiles.	12-15-2011

Patent application number	Description	Published
20110242313	Contamination monitoring of high voltage insulators - Contamination monitoring of high voltage insulators provides a system and method producing an early predictor for high voltage insulator failure, allowing repairmen to either already be on site when a high voltage insulator fails in order to expedite repair time, or allowing repair and/or replacement of a faulty insulator before the failure actually occurs. The system and method provide transmission of an alarm signal when contaminant levels (such as equivalent salt deposit density (ESDD) levels) formed on a high voltage insulator exceed pre-selected threshold values, indicating the likelihood of high voltage insulator failure.	10-06-2011
20110257799	Sliding mode AGC controller and method - The sliding mode AGC controller and method includes Genetic Algorithms (GA) to find the optimal feedback gains and switching vector values of the controller. In order to provide enhancement of the system dynamical performance and a reduction in the SMC chattering, two objective functions are provided in the optimization process. The tested two-area interconnected AGC model incorporates nonlinearities in terms of Generation Rate Constraint (GRC) and a limiter on the integral control value. Comparison with previous AGC methods reported in the literature validates the significance of the sliding mode AGC controller.	10-20-2011