16 research outputs found
Modeling of wind turbine-self excited induction generator system with pitch angle and excitation capacitance control
No full textDesign of power control circuit for grid-connected PV system-based neural network
No full textThis research explores the application of neural networks in managing grid- photovoltaic (PV) systems. this paper aims to improve the performance and reliability of PV systems using artificial intelligence capabilities, specifically neural networks. The main emphasis of this system is to control active and reactive power and to track the maximum power point (MPPT). This study introduces an intelligent control technique for fuel cell distributed generation (DG) grid connection inverters. The algorithm allows for the management of both active and reactive power for the unit. The algorithm provides local reactive power compensation, making it economically viable. The controller modeling and performance validation are conducted using MATLAB/Simulink and Sim power system blocks, demonstrating its capacity for enhancing power factor. This makes fuel cell technology a clean, highly controllable, and economically viable option for DG systems. The system maximizes the energy extraction of PV panels and maintains them at their ideal PowerPoint across various environmental conditions. It also raises the voltage from 260 volts to 350 volts. Simulations and practical evaluations validate the proposed control system. The obtained results indicate that the total harmonic distortion (THD) of the grid current under operating conditions was less than 1.86%. This demonstrates significant improvements in the efficiency and reliability of PV systems. The neural network controller shows remarkable flexibility and the ability to quickly adapt to fluctuations in load and radiation, which contributes to developing a more sustainable and stable energy network
A study of voltage regulation in microgrid using a DSTATCOM
No full textA well-prepared abstract enables the reader to identify the basic content. This paper
presents the solution of voltage fluctuations in urgent situations by providing
voltage and reactive support from a distribution static synchronous
compensator (DSTATCOM) in the grid. Also, it analyses the influences of
DSTATCOM as a voltage controller and compares the system performance
with and without DSTATCOM. The DSTATCOM is used in the study to
maintain voltage in the microgrid (MG) to be around the rated value after
Microgrid disturbance. A successful simulink model of the photovoltaic (PV)
system and the proposed DSTATCOM are illustrated to work together as
the Microgrid. Microgrids could provide unique resilience and reliability when
the environment encountered with less water, higher temperatures, more frequent
and harsh wildfires, and severe weather events. The proposed DSTATCOM was
installed in different locations in the MG and the best location was chosen to
achieve the goal of improved power quality and efficiency. In this paper,
two scenarios are discussed with and without DSTATCOM. The simulation results
show the difference between the MG with and without DSTATCOM and how
the DSTATCOM can amplify power quality in the Microgrid. The proposed
DSTATCOM has the capability to improve dampen power oscillations during
transit events
Design and simulation of a microgrid for TIH campus
No full textThis paper proposes a methodology for designing and operating a microgrid (MG) for the main campus of the Technical Institution Hawija. In this MG, a battery energy storage system (BESS), photovoltaic (PV) generation system, and controllable loads are included. Due to the high penetration of the PVs, over-voltage issues may occur in this MG. A novel operation strategy is considered by coordinating the BESS, PVs, and loads to prevent power outages and accomplish a secure operation of this MG. In this proposed approach, droop controllers have been implemented to provide the appropriate references for the PVs and BESS to maintain the voltage of the MG within a secure range. The generation of the PVs may be curtailed to guarantee the fidelity of the voltage. The intended simulations will be based on MATLAB/Simulink to show the efficacy of the intended design
Arduino-based design and implementation of experimental rooms with a trombe wall for solar cells applications
No full textThe simplicity of design and construction following the researcher's or company's notion is the most typical description of solar panels. There will be a set of sensors in every design to derive information about the environment's shifting seasons and days. Two chambers of 1 m2 and 2 m2 in height were constructed for this study. A solar panel made from a unique exchangeable material has been installed instead of one of the walls, allowing a space between them for experimental reasons. Several temperature sensors were mounted inside and outside the chamber, as well as on the surface of the solar panel and within the air openings, in this work to record the temperature readings in various places. The used controller, an Arduino, is in charge of several operations, including controlling the solar panel's cooling device, reading and recording sensor data and storing it in RAM, controlling the orientation of the solar panel, controlling the vacuums, and regulating the on-off time of the motors. The findings show that by using sensor data, the system can keep the temperature constant when it is turned on. Additionally, the battery life will be preserved to the greatest extent feasible thanks to the well-balanced regulation of the loads
Optimization of PV/T Solar Water Collector based on Fuzzy Logic Control
No full textHybrid solar collector (PV/T) is designed to produce electricity, hot water, or hot air at the same time as they operate solar cells and solar heaters in one system. This system is designed to increase the electrical efficiency of solar cells by absorbing heat from these cells. The fuzzy logic (FL) is a tool usually used to optimize the operation of the systems. In this paper, the FL is to monitor and correct the mainsystem parameters to remain optimization efficiency at a better level. Three affected variables were studied: Effect of reflective mirrors, the effect of the glass cover, and the effect of the lower reflector angle on the performance of the PV / T hybrid solar system. These three parameters are traveled to be inputs for the FL, and the PV temperature in addition to system efficiency is the output for it. The effect of solar radiation was found to have a great effect on the efficiency of the hybrid solar collector. The thermal efficiency was 82% for the given value of the PV and mirrors, while the efficiency down to 50 for another angle. By using the artificial intelligent the system behavior depends on its output, which called feedback close loop control, at a real-time process that optimizes the system efficiency and its output
Performance Assessment of a Triangular Integrated Collector Using Neural Networks
No full textA numerical study is achieved on a new shape of temperature saver solar collector using an
artificial neural network. The storage collector is a triangle face and a right triangle pyramid for
the volumetric shape. It is obtained by cutting a cube from one upper corner at 45°, down to
the opposite hypotenuse of the base of the cube. The numerical study was carried out using the
computational fluid dynamics code (ANSYS-Fluent) software with natural convection phenomenon
in the pyramid enclosure. Elman backpropagation network is used for his ability to find the
nearest solution with the smallest error rate. The network consists of three layers, each of
different corresponding weights. The results show that the temperature and velocity distributions
throughout the operating period were obtained. The influence of introducing an internal partition
inside the triangular storage collector was investigated. Also the optimum geometry and location
for this partition were obtained. The enhancement was best at y = 0.25 m, whereas the height
of triangular collector was 0.5 m. The hourly system performance was evaluated for all test
conditions. The performance of the NN to train a model for this work was 0.000207, while the
error of the calculation was 1×10-2 as average
Performance of the solar distillation systems integrated with PV/thermal systems: a review
No full textThis study reviews the performance of solar distillation systems when integrated with photovoltaic/thermal systems (PV/T), highlighting them as a promising and sustainable solution to address water scarcity issues, particularly in remote and arid areas. The research highlights the effectiveness of this integration in improving the productivity of pure water and increasing the thermal and electrical efficiency of the system. Studies have shown that integrating PV/T systems with solar distillers increased distilled water by up to 161.5 %, improving thermal efficiency by approximately 75.11 %, with recorded increases in electrical efficiency exceeding 20 % in some designs. The paper relied on a comprehensive review of experimental studies and numerical simulations published over the last decade, analyzing the impact of system design, water depth, and the use of materials such as nano oxides and phase change materials (PCM), in addition to climate conditions. Despite the noticeable performance improvements, the review indicates the presence of multiple challenges facing these systems, the most prominent of which are: high initial construction costs, maintenance difficulties, and complexities of expansion, especially in desert environments or areas with weak infrastructure. This review aims to provide a solid knowledge base to support researchers and designers in developing more efficient and sustainable hybrid systems to meet the increasing demand for drinking water through renewable energy solutions
