IJE_Vol 08 N 01
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Item Performances improvement of Shunt active power filter With voltage sensor failure(جامعة الوادي Université ofEl-Oued, 2023-05-04) Boukadoum, Aziz; Bouguerne, Abla; Bahi, TaharThe recent development of fully controllable power semiconductors has led to the design of new structures of static converters called active power filters intended to compensate for harmonic disturbances. The purpose of this filter is to inject harmonic currents so that the source current and voltage are made sinusoidal. The active power filter is connected in parallel with the network. The effectiveness of this filter essentially lies in its control and command strategy to better respond to production and distribution constraints. It automatically adapts to the evolution of disturbances introduced by non-linear loads connected to the electrical network and their response is instantaneous. The objectives we have set are to improve the performance of this filter. The p-q theory has been developed to generate a reference current for the attenuation of harmonics. This method requires the information of three load currents and three source voltages. Therefore, the controller needs information from voltages and currents sensors. Therefore, the failure of one sensor will affect the overall performance of the power filter. Different cases have been studied to observe its effect on the sinusoidal shape of the source currents and the THD. As well, an algorithm for successful compensation of voltage sensor failure has been proposed. Simulation results are presented and discussedItem Predictive Study on the Application of the Soweto Wind Turbine Results in the Coastal Region of South Africa(جامعة الوادي Université ofEl-Oued, 2023-04-03) Sithole, T; Veeredhi, V; Sithebe, TThis study evaluates the performance of three wind turbine prototypes (Prototypes 1, 2, and 3) in Soweto, South Africa, by analyzing their monthly energy generation under different time of day/month conditions. Prototype 3 emerges as the most efficient, generating 39.5 W at a wind speed of 1.17 m/s and projecting a maximum of 40 kWh per month. Building upon these results, a predictive study examines the feasibility of implementing the same technology in coastal regions, specifically Gqeberha, where stronger winds prevail. Utilizing empirical data from Soweto, the study forecasts an improved energy output of up to 54.3 W at a wind speed of 5.16 m/s (18.6 km/h) and up to 100 kWh per month. The findings highlight the potential benefits of utilizing wind turbine technology in coastal areas, contributing valuable insights to renewable energy system development in similar geographical contexts.Item Power losses reduction by optimal allocation of renewable distributed generation in distribution networks(جامعة الوادي Université ofEl-Oued, 2023-06-26) Boukaroura, Abdelkader; Amroune, MohammedThe electrical energy demand is increasing dramatically in many countries around the world due to population growth. As a result of this significant increase in demand, electricity distribution companies are seeking to promote distributed generation (DG). With the growing integration of decentralized renewable power generation into the distribution network, it becomes an active circuit where power flows and voltages are influenced not only by loads but also by sources. In distribution networks (DN), the optimal allocation of Renewable Distributed Generation (DG) units can significantly improve system performance by reducing power losses and enhancing the voltage profile and stability of the radial distribution network. The main objective of this paper is to apply the marine predator algorithm (MPA) to optimize the siting and sizing of DG units in the DN. The objective function considered is the minimization of active power losses. The proposed algorithm is tested on the IEEE 33-bus and 69-bus DN. The simulation results demonstrate that the MPA algorithm outperforms other optimization algorithms in terms of performItem Optimal tilt angle for photovoltaic panels in the Algerian region of El- Oued in the spring season: An experimental study(جامعة الوادي Université ofEl-Oued, 2023-06-20) Largot, Soulef; Bessous, Noureddine; Ghodbane, Mokhtar; Boussad, Boumeddane; Rania, Zhar; Lahrech, KhadijaThe tendency to exploit solar energy in the electricity production in Algeria is a priority and a major goal of the Algerian government, and for this reason it seeks to provide all the necessary capabilities to achieve this lofty goal. Photovoltaic electricity is one of the effective technologies for the solar electricity production, but before installing any photovoltaic panel, it is important to determine its optimal tilt angle, and based on this, this study allowed to show the optimal tilt angle of the photovoltaic panels in the Algerian region of El Oued in the spring season, and accordingly, two days (March 21st, 2023, and April 21st, 2023) were chosen to conduct this experimental study. Based on the obtained results, the optimal PV tilt angle for the month of March is 33° and 28° for the month of April. In addition, the greater the amount of solar radiation, the higher the efficiency and productivity of the PV panels, as the highest values for them (6.31 % and 62.17 W, respectively) were recorded on April 21st, 2023. The results of this study will contribute to the correct installation of photovoltaic panels in the Algerian region of El-Oued, especially if the photovoltaic panels are equipped with dual-axis solar tracking systemsItem Effect of Rubber Thickness on the Performance of Conventional Solar Stills under El Oued city climate (Algeria)(جامعة الوادي Université ofEl-Oued, 2023-04-03) Kermerchou, Imad; Khechekhouche, Khechekhouche; Elsharif, NabilOur study focuses on examining the performance of conventional solar stills in an arid region, specifically investigating the impact of rubber material and its thickness on the distillation process. Four solar stills were tested, including a reference solar still (SSR) and three modified solar stills (MSS1, MSS2, and MSS3) with rubber thicknesses of 1 cm, 2 cm, and 3 cm, respectively. The experimental findings clearly demonstrate a notable difference in distilled water productivity between varying rubber thicknesses. The outputs of MSS1, MSS2, and MSS3 were measured at 1105 ml/day, 1010 ml/day, and 955 ml/day, respectively, all surpassing the output of SSR, which was recorded at 830 ml/day. These results indicate that the utilization of rubber with varying thicknesses positively impacts the productivity of the solar still, leading to higher distilled water yields compared to the reference configurationItem Developed nonlinear model based on bootstrap aggregated neural networks for predicting global hourly scale horizontal irradiance(جامعة الوادي Université ofEl-Oued, 2023-05-06) Dahmani, Abdennasser; Ammi, Yamina; Hanini, Salah; Driss, ZiedThis research study examines the use of two models of artificial intelligence based on a single neural network (SNN) and bootstrap aggregated neural networks (BANN) for the prediction value of hourly global horizontal irradiance (GHI) received over one year in Tamanrasset City (Southern Algeria). The SNN and BANN were created using overall data points. To improve the accuracy and durability of neural network models generated with a limited amount of training data, stacked neural networks are developed. To create many subsets of training data, the training dataset is re-sampled using bootstrap re-sampling with replacement. A neural network model is created for each set of training datasets. A stacked neural network is created by combining multiple individual neural networks (INN). For the testing phase, higher correlation coefficients (R = 0.9580) were discovered when experimental global horizontal irradiance (GHI) was compared to predicted global horizontal irradiance (GHI). The performance of the models (INN, BANN, and SNN) demonstrates that models generated with BANN are more accurate and robust than models built with individual neural networks (INN) and (SNN).Item Analysis for inter turn stator fault with load variation in Induction Motor(جامعة الوادي Université ofEl-Oued, 2023-06-15) Cherif, Hakima; Maamir, Madiha; Chehaidia, Seif EddineThis paper investigates the impact of load variation on the diagnosis of inter-turn stator faults in induction machines. The proposed detection technique relies on the analysis of stator current using the discrete wavelet transform (DWT) in both normal and faulty states of the machine. The energy of the approximation and detail signals obtained from DWT provides valuable information about the machine's health and the severity of the inter-turn stator faults. Experimental tests were conducted using a dSpace 1104 signal card-based interface to study the load effects in detecting and diagnosing stator inter-turn short circuit faults in induction motorItem Cellulose cardboard effect on the performance of a conventional solar still(جامعة الوادي Université ofEl-Oued, 2023-05-12) Bellila, Abderlkader; Rahal, Zakaria; nichenko, anichenko; Sadoun, AliThe lack of drinking water is a pressing issue in contemporary times, and solar distillation stands out as a simple and effective solution. However, the low yield of solar distillation remains a challenge. Researchers have undertaken various experimental modifications to enhance the thermal performance of solar distillation. In one such modification, Cellulose cardboard was introduced with the aim of improving the system's performance. The experimental results demonstrated a notable improvement of 19.8% in the solar still's efficiency when Cellulose cardboard was employed, compared to conventional solar still designs.