New Backstepping-DSOGI hybrid control applied to a Smart-Grid Photovoltaic System

Nebili, Salim,Benabdallah, Ibrahim,Adnene, Cherif International Journal of Computer ScienceNetwork S 2022 International journal of computer science and netw Vol.22 No.4

In order to overcome the power fluctuation issues in photovoltaic (PV) smart grid-connected systems and the inverter nonlinearity model problem, an adaptive backstepping command-filter and a double second order generalized Integrators (DSOGI) controller are designed in order to tune the AC current and the DC-link voltage from the DC side. Firstly, we propose to present the filter mathematical model throughout the PV system, at that juncture the backstepping control law is applied in order to control it, Moreover the command filter is bounded to the controller aiming to exclude the backstepping controller differential increase. Additionally, The adaptive law uses Lyapunov stability criterion. Its task is to estimate the uncertain parameters in the smart grid-connected inverter. A DSOGI is added to stabilize the grid currents and eliminate undesirable harmonics meanwhile feeding maximum power generated from PV to the point of common coupling (PCC). Then, guaranteeing a dynamic effective response even under very unbalanced loads and/or intermittent climate changes. Finally, the simulation results will be established using MATLAB/SIMULINK proving that the presented approach can control surely the smart grid-connected system.

New 3D knitted absorbent pad for a prospective safer and ecological reusable baby diaper

Rahma Tilouche,Faten Debbabi,Adnene Gharbi,Jun Xu,Lei Jiang,Mohamed Ben Hassen 한국의류학회 2023 Fashion and Textiles Vol.10 No.1

Disposable diaper is one of the most polluting products in the world and presents many potential health risks for children. In this paper, to avoid those diaper problems, propose a safer reusable baby diaper with the same performances as disposable diapers with non-harmful materials. A comparative study has been conducted on the developed 3D knitted reusable diaper and some commercial disposable diapers including the most popular diaper goods. Thus, diaper performances have been measured and limit values have been checked. The obtained results prove that the properties of the developed reusable diaper are comparable to those of the disposable baby’s diapers available on the market. Finally, using chromatography analysis, we prove the non-harmful compounds in the developed baby diaper. For further investigation, a a new design of the risk assessment matrix related the menace trigger has been also prepared. The developed reusable diaper can be a promising alternative of the diaper with an efficient quality and functionality.

Energy Management and Performance Evaluation of Fuel Cell Battery Based Electric Vehicle

Khadhraoui, Ahmed,SELMI, Tarek,Cherif, Adnene International Journal of Computer ScienceNetwork S 2022 International journal of computer science and netw Vol.22 No.3

Plug-in Hybrid electric vehicles (PHEV) show great potential to reduce gas emission, improve fuel efficiency and offer more driving range flexibility. Moreover, PHEV help to preserve the eco-system, climate changes and reduce the high demand for fossil fuels. To address this; some basic components and energy resources have been used, such as batteries and proton exchange membrane (PEM) fuel cells (FCs). However, the FC remains unsatisfactory in terms of power density and response. In light of the above, an electric storage system (ESS) seems to be a promising solution to resolve this issue, especially when it comes to the transient phase. In addition to the FC, a storage system made-up of an ultra-battery UB is proposed within this paper. The association of the FC and the UB lead to the so-called Fuel Cell Battery Electric Vehicle (FCBEV). The energy consumption model of a FCBEV has been built considering the power losses of the fuel cell, electric motor, the state of charge (SOC) of the battery, and brakes. To do so, the implementing a reinforcement-learning energy management strategy (EMS) has been carried out and the fuel cell efficiency has been optimized while minimizing the hydrogen fuel consummation per 100km. Within this paper the adopted approach over numerous driving cycles of the FCBEV has shown promising results.

A Novel Second Order Radial Basis Function Neural Network Technique for Enhanced Load Forecasting of Photovoltaic Power Systems

Farhat, Arwa Ben,Chandel, Shyam.Singh,Woo, Wai Lok,Adnene, Cherif International Journal of Computer ScienceNetwork S 2021 International journal of computer science and netw Vol.21 No.2

In this study, a novel improved second order Radial Basis Function Neural Network based method with excellent scheduling capabilities is used for the dynamic prediction of short and long-term energy required applications. The effectiveness and the reliability of the algorithm are evaluated using training operations with New England-ISO database. The dynamic prediction algorithm is implemented in Matlab and the computation of mean absolute error and mean absolute percent error, and training time for the forecasted load, are determined. The results show the impact of temperature and other input parameters on the accuracy of solar Photovoltaic load forecasting. The mean absolute percent error is found to be between 1% to 3% and the training time is evaluated from 3s to 10s. The results are also compared with the previous studies, which show that this new method predicts short and long-term load better than sigmoidal neural network and bagged regression trees. The forecasted energy is found to be the nearest to the correct values as given by England ISO database, which shows that the method can be used reliably for short and long-term load forecasting of any electrical system.

A Nonlinear Approach for Modeling and Forecasting US Business Cycles

Meriam BouAli,Adnen Ben Nasr,Abdelwahed Trabelsi 한국국제경제학회 2016 International Economic Journal Vol.30 No.1

The purpose of this paper is to provide a complete evaluation of four regime-switching models by checking their performance in detecting US business cycle turning points, in replicating US business cycle features and in forecasting US GDP growth rate. Both individual and combined forecasts are considered. Results indicate that while the Markov-switching model succeeded in replicating all the NBER peak and trough dates without an extra-cycle detection, it seems to be outperformed by the Bounce-back model in term of the delay time to a correct alarm. Concerning business cycle features characterization, none of the competing models dominates over all the features. The performance of the Markov-switching and bounce back models in detecting turning points was not translated into an improved business cycle feature characterization since they are outperformed by the Floor and Ceiling model. The forecast performance of the considered models varies across regimes and across forecast horizons. That is, the model performing best in an expansion period is not necessarily the same in a recession period and similarly for the forecast horizons. Finally, combining such individual forecasts generally leads to increased forecast accuracy especially for h=1.

Theoretical and Experimental Analysis of Extremely Low Frequency Magnetic Field in the Vicinity of the Transformer Station of Overhead Power Lines

Said Ghnimi,Adnen Rajhi,Ali Gharsallah,Youssef Bizid 대한전기학회 2018 Journal of Electrical Engineering & Technology Vol.13 No.4

This paper studies the magnetic fields between the power lines which are finite length and other ones which are infinitely long around the first tower in the proximity of the power transformers. They will be used as a source of disturbance applied to the power line. The method applied in this study was gradual; develop the theoretical formulation of the magnetic fields of these lines which are finite length and other ones which are infinitely long, examine the effects of different couplings between the different neighboring lines and the distribution transformers on behavior of magnetic fields. The method also focused on the experimental results analyzing the magnetic fields which will be used as a source applied to the auditory implants EMC. The theoretical and experimental results were compared and discussed for three power lines (90kV, 150kV and 225kV) near the power station, and it proved the effect of these substations on the simulated and measured results of the magnetic field. The maximum intensities of magnetic fields measured at the height of 1m from the ground for the circuit of three lines close to each substation were significantly lower than the ICNIRP reference levels for occupational and non occupational exposures.

New Experimental Investigation of Magnetic and Electric Fields in the Vicinity of High-Voltage Power Lines

Said Ghnimi,Adnen Rajhi,Ali Gharsallah 한국자기학회 2016 Journal of Magnetics Vol.21 No.1

In this paper, the theoretical and experimental characteristics of magnetic and electric fields in the vicinity of high voltage lines are investigated. To realize these measurements and calculations, we have developed some equations for two overhead power line configurations of 150 ㎸ (single circuit, double circuit), based on Biotsavart law, image and Maxwell theories, in order to calculate the magnetic and electric fields. The measurements were done to a maximum distance from the tower of 50 m, at a height of 1m from the ground. These experiments take into consideration the real situations of the power lines and associated equipment. The experimental results obtained are near to that of the Biot-Savart theoretical results for a far distance from the tower; and for a distance close to the power line, the results from the image theory are in good agreement with the experimental results.

Theoretical and Experimental Analysis of Extremely Low Frequency Magnetic Field in the Vicinity of the Transformer Station of Overhead Power Lines

Ghnimi, Said,Rajhi, Adnen,Gharsallah, Ali,Bizid, Youssef The Korean Institute of Electrical Engineers 2018 Journal of Electrical Engineering & Technology Vol.13 No.4

This paper studies the magnetic fields between the power lines which are finite length and other ones which are infinitely long around the first tower in the proximity of the power transformers. They will be used as a source of disturbance applied to the power line. The method applied in this study was gradual; develop the theoretical formulation of the magnetic fields of these lines which are finite length and other ones which are infinitely long, examine the effects of different couplings between the different neighboring lines and the distribution transformers on behavior of magnetic fields. The method also focused on the experimental results analyzing the magnetic fields which will be used as a source applied to the auditory implants EMC. The theoretical and experimental results were compared and discussed for three power lines (90kV, 150kV and 225kV) near the power station, and it proved the effect of these substations on the simulated and measured results of the magnetic field. The maximum intensities of magnetic fields measured at the height of 1m from the ground for the circuit of three lines close to each substation were significantly lower than the ICNIRP reference levels for occupational and non occupational exposures.