A5089071255- Photovoltaic System Optimization Techniques
- Solar Radiation and Photovoltaics
- Energy and Environment Impacts
- Energy Load and Power Forecasting
- Smart Grid Energy Management
- Solar Thermal and Photovoltaic Systems
- Hybrid Renewable Energy Systems
- Microgrid Control and Optimization
- Advanced Battery Technologies Research
- solar cell performance optimization
- Photovoltaic Systems and Sustainability
- Power Systems and Renewable Energy
- Evolutionary Algorithms and Applications
- Silicone and Siloxane Chemistry
- Optimal Power Flow Distribution
- Metaheuristic Optimization Algorithms Research
- Advanced Multi-Objective Optimization Algorithms
- Optical Wireless Communication Technologies
- Environmental Impact and Sustainability
- Advanced ceramic materials synthesis
- Electric Power System Optimization
- Electric Vehicles and Infrastructure
- Hydrogen Storage and Materials
- Luminescence and Fluorescent Materials
- Artificial Immune Systems Applications
Universiti Teknologi MARA
2015-2024
Universiti Teknologi MARA System
2015-2023
Tun Hussein Onn University of Malaysia
2021
University of Michigan
2008-2018
Universiti Malaysia Sarawak
2008
The objectives of this work are to demonstrate facile routes 3-D star materials with octa- and hexadecafunctionality provide new nanoconstruction tools for the synthesis types stars, dendrimers, hyperbranched molecules or assembly novel nanocomposites. A further objective is identify properties inherent in resulting compounds. Octavinylsilsesquioxane (OVS, [VinylSiO1.5]8) perfect cubic symmetry elaborated through metathesis substituted styrenes produce a series RStyrenylOS p-BrStyrenylOS...
A set of stilbene-substituted octasilicates [p-RStilxPh8−xSiO1.5]8 (R = H, Me, MeO, Cl, NMe2 and x 5.3−8) [o-MeStilSiO1.5]8 were prepared. Model compounds also prepared including the corner half cages: [p-MeStilSi(OEt)3], [p-Me2NStilSi(OSiMe3)3], [p-Me2NStilSi(O)(OSiMe)]4. These characterized by MALDI-TOF, TGA, FTIR, 1H NMR techniques. Their photophysical properties UV−vis, two-photon absorption, cathodoluminescence spectroscopy (on solid powders), studies on effects solvent polarity changes...
Performance ratio (PR) is often used as a performance metric in commercial acceptance tests of an installed grid-connected photovoltaic (GCPV) system. Recently, PR has been claimed to significantly affect seasonal and weather variations, which would invite unnecessary risk the test. In updated IEC 61724-1, temperature-corrected (TCPR) included remove variations. However, not all climate regions experience these means that TCPR might be necessary for certain regions. Due that, this study aims...
An optimal design of a hybrid stand-alone photovoltaic system is essential to ensure reliable electricity supply the loads and low cost generation. This paper presents an AC coupled which consists modules, batteries, grid inverters, bi-directional inverters diesel generator. A computational intelligence known as Honey Badger Algorithm (HBA) was employed minimize either loss power probability or levelized by selecting model components. For validation purpose, iterative sizing algorithm (ISA)...
This paper presents an intelligent-based algorithm for sizing grid-connected photovoltaic (GCPV) system using Genetic Algorithm (GA). GA had been used to determine the optimal PV module and inverter from pre-developed databases such that expected technical performance of design could be optimized. In addition, outputs as number (PV) modules, array configuration inverter-to-PV factor were computed. The outperformed Evolutionary Strategies (ES) during process in terms producing better optimum...
The generation of solar photovoltaic (PV) systems in Malaysia has great potential due to the abundance sunlight and high irradiation level. Malaysia's unique location near equator makes energy most attractive option for future sources. However, erratic weather leads variability power generation, especially during feed-in that will eventually affect grid system stability. Hereof, forecasting is critical, operating utility-scale or large-scale (LSS) plants. This paper presents an approach...
This paper presents the effect of atmospheric attenuation during severe hazy days for free space optical communications. The usage communications is still rare in Malaysia due to environment factor. FSO technology also known as unguided beam or dasiaoptical wirelesspsila infrared broadband. study offers quick preliminary investigation on possible performance based wavelength selection before final commissioning and installation at site. Thus, installers could make judgment giving...
<p>Dynamic voltage restorer (DVR) is a series active filter device that used to protect sensitive loads from power quality issues such as sag, swell, harmonics or disturbances. This implies the DVR capable mitigate disturbances at load terminal. Harmonic major problem polluting distribution network causing end-user equipment fail operating due occurrence of in voltage, current frequency. paper discusses on proposed technique sag and swell connected with energy storage system mini-hydro...
Abstract Insoluble mixtures of polyvinylsilsesquioxane, ‐(vinylSiO 1.5 ) n ‐ PVS, and polymethylsilsesquioxanes, ‐(MeSiO PMS, in THF at ambient when treated with catalytic amounts (1–5 mol%) fluoride ion introduced as t Bu 4 NF will depolymerize dissolve. The resulting soluble species consist [vinyl x Me 8− (SiO )] 8 , 10 12 . Ratios 1:1 PVS:PMS greatly favor formation vinyl rich cages. Only ratios 1:5 are the proportions vinyl:Me cages approximately equal. Of T produced, all conditions...
This paper presents the Evolutionary Programming (EP) based technique to optimize architecture and training parameters of a one-hidden layer backpropagation Artificial Neural Network (ANN) model for prediction total AC power output from grid connected photovoltaic system.A partial Programming-ANN (EPANN) has been developed prediction.It utilizes solar radiation, wind speed ambient temperature as its inputs while is produced PV system.EP used regression performance ANN by determining optimum...
This paper presents a Hybrid Multi-Layer Feedforward Neural Network (HMLFNN) technique for predicting the output from grid-connected photovoltaic (GCPV) system. In proposed HMLFNN, Artificial Immune System (AIS) was selected as optimizer training process of (MLFNN). AIS used to optimize number neurons in hidden layer, learning rate, momentum type activation function and algorithm. addition, MLFNN utilized solar irradiance (SI) module temperature (MT) its inputs kWh energy output. When...
Grid-connected photovoltaic systems have been widely utilized as means of renewable energy-based electricity supply worldwide. Nevertheless, one the major issues in their implementation is optimal system design, also associated to sizing. An undersized or oversized components could compromise technical benefits systems. Therefore, this paper discusses a Grey Wolf Optimization (GWO) for optimizing grid-connected design. The optimization problem was devised based on single objective with...
This paper presents a classically trained Multi-Layer Feedforward Neural Network (MLFNN) technique for predicting the output from Grid-Connected Photovoltaic (GCPV) system. In proposed MLFNN, selection of training parameters was conducted using series prescribed steps. The MLFNN utilized solar irradiance (SI) and module temperature (MT) as its inputs AC kWh energy output. When compared with linear regression method, offered superior performance by producing lower prediction error.
This paper presents a hybrid Particle Swarm Optimization-Artificial Neural Network (PSO-ANN) for predicting the kWh output from grid-connected photovoltaic (GCPV) system. In this study, ANN-based prediction utilized solar irradiance (SI), ambient temperature (AT) and module (MT) as inputs energy GCPV system sole output. Besides that, Optimization (PSO) was used to optimize number of neurons in hidden layer during ANN training process such that Root Mean Square Error (RMSE) minimized. After...
Grid-Connected Photovoltaic (GCPV) system is a type of photovoltaic (PV) systems which has been widely used as renewable-based electricity generation. Nevertheless, the intermittency and fluctuation in weather conditions have caused inconsistent varying output performance GCPV system. This paper presents Multi-Layer Feedforward Neural Network (MLFNN) model for predicting AC power from Harmony Search (HS) was also employed to optimize several MLFNN parameters such that prediction error could...
A building integrated photovoltaic (BIPV) system is composed of modules into a envelope, such as roof. This one most cost effective and practical applications for grid-connected system. Malaysia located in the equatorial region receives an average 1700 W/m <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> solar radiation. In Malaysia, energy metering scheme was establish November 2016 will run until 2020 with 100 MW capacity per year to...
This paper presents an intelligent-based sizing algorithm for the design of grid-connected photovoltaic (GCPV) system using artificial immune (AIS). AIS had been used to select optimal PV module and inverter from pre-developed database such that expected technical performance could be optimized. The outperformed genetic (GA) particle swarm optimization (PSO) during process in terms producing better optimum results despite having largest computation time.
This paper presents an assessment of different evolutionary programming (EP) techniques for solving single-objective optimization problem. Evolutionary has been widely used and applied with success in many kinds However there is no benchmark to test which EP models will give a better result single objective optimization. Three distinct are classical (CEP), fast (FEP) improved (IFEP). These considered here differ terms search operator-Gaussian, Cauchy mixed Gaussian-Cauchy during mutation...