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MAXIMUM POWER POINT GENETIC IDENTIFICATION FUNCTION FOR PHOTOVOLTAIC SYSTEM
This paper proposes the identification of maximum power point (MPP) function for photovoltaic (PV) module using the genetic algorithm (GA). Then deduction of the required function to generate theExpand
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PV CELL MODULE MODELING & ANN SIMULATION FOR SMART GRID APPLICATIONS
TLDR
This paper proposes general and specific modeling and simulation for Schott ASE-300-DGF PV panel for Smart Grid applications. Expand
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ALTERED TESTICULAR MORPHOLOGY AND OXIDATIVE STRESS INDUCED BY CADMIUM IN EXPERIMENTAL RATS AND PROTECTIVE EFFECT OF SIMULTANEOUS GREEN TEA EXTRACT
Cadmium (Cd), is an environmental and industrial pollutant that affects the male reproductive system. Cd induces its effect by affecting tissue antioxidant enzyme systems. Green tea extract (GTE) isExpand
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Efficiency of Broccoli in Attenuating of Some Biochemical Disorders in Rats exposed to γ-irradiation
Administration of dietary antioxidants has been suggested to protect against ionizing radiation induced injury. Broccoli is a floral vegetable with an important nutritional value due to its contentExpand
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Neural network storage unit parameters modelling
This paper addresses a new method of electrical parameters modelling for lead-acid battery as a storage device based on performance characteristics using artificial neural network with suitableExpand
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Dynamic Modeling of Permanent Magnet Synchronous Motor Using MATLAB - Simulink
TLDR
Permanent Magnet Synchronous Motors (PMSM) are widely applied in industrial androbotic applications due to their high efficiency, low inertia and high torque – to -volume ratio. Expand
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Sizing High Speed Micro Generators for Smart Grid Systems
This chapter presents a step by step sizing procedure of High Speed Permanent Magnet Synchronous Generators (HSPMSGs) for smart grid applications to be driven by micro-turbines. The final designExpand
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A New Sine Cosine Optimization Algorithm for Solving Combined Non-Convex Economic and Emission Power Dispatch Problems
TLDR
The current study presents a modified sine cosine optimization (MSCO) algorithm for solving the non-smooth environmental/economic power dispatch problem for simultaneous optimization of both economic and environmental objectives. Expand
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NEURAL MODEL OF 3 – PHASE INDUCTION MOTOR
This paper proposes a proper method for the modeling of induction motor using feed – forward neural networks. The use of artificial neural networks (ANN) in this paper is due to their benefits suchExpand
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Lead Acid Battery Modeling for PV Applications
Lead-Acid batteries continue to be the preferred choice for backup energy storage systems. However, the inherent variability in the manufacturing and component design processes affect the performanceExpand
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