{"title":"Remote control and monitoring of the Aguereb-Jemna Kébili photovoltaic pumping station","authors":"Mehdi Dhaoui, H. Najjari","doi":"10.1109/GECS.2017.8066264","DOIUrl":"https://doi.org/10.1109/GECS.2017.8066264","url":null,"abstract":"The work presented in this paper aims for the study and implement an acquisition system and remote control of a photovoltaic pumping station. The proposed system, built around an Arduino board and a GSM module enables the characterization parameters of a photovoltaic pumping station and transmission of a different measures to the operator by GSM network. Indeed, using his mobile phone, the operator can control or monitor the system by sending a simple SMS that contains an order, or receiving a report message that informs him about the recent state of the system. The proposed work is presented as a simple and easy solution that can be used to ensure good control of photovoltaic pumping stations in the desert areas.","PeriodicalId":214657,"journal":{"name":"2017 International Conference on Green Energy Conversion Systems (GECS)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115055246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Comparison between PI and fuzzy controllers in speed control of PMSM","authors":"Guesmi Oussama, A. Douik","doi":"10.1109/GECS.2017.8066123","DOIUrl":"https://doi.org/10.1109/GECS.2017.8066123","url":null,"abstract":"The speed control of electric machines by using flow direction controller uses classically Proportional Integral (PI) controlers. Who can achieve satisfactory targets on the dynamics of torque, speed and flow. In this paper we present a strategy for vector control using a modern fuzzy logic speed controller, applied to permanent magnetic synchronous machine powered by an inverter control with Space Vector Modulation (SVM), capaUe of providing, when binding requests, more satisfactory answers in torque, flow and speed. The comparison between the two methods under the same conditions illustrated by results of simulations.","PeriodicalId":214657,"journal":{"name":"2017 International Conference on Green Energy Conversion Systems (GECS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122931800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Importance based selection method for day-ahead photovoltaic power forecast using random forests","authors":"Ali Lahouar, Amal Mejri, J. Ben Hadj Slama","doi":"10.1109/GECS.2017.8066171","DOIUrl":"https://doi.org/10.1109/GECS.2017.8066171","url":null,"abstract":"With the great recent moves towards green energy exploitation worldwide, the solar photovoltaic (PV) power has gained much attention. Thanks to PV panels' cost drop and recent improvements in energy conversion systems, the PV installations are getting more and more integrated into power plants. Because of high correlation with weather conditions, accurate short-term PV output forecast is highly recommended. An accurate prediction is needed to assess the effective contribution of solar energy in the grid, and to overcome the problems of intermittence. This paper proposes a day-ahead prediction method of PV output, which estimates the power generated by solar panels with and without prior knowledge of solar irradiance. The proposed model is the random forest using bagging algorithm, characterized by built-in cross validation and immunity to irrelevant inputs. A special attention is paid to the choice of most influential weather conditions on future power. The proposed approach is validated through tests on real data from PV sites in Australia.","PeriodicalId":214657,"journal":{"name":"2017 International Conference on Green Energy Conversion Systems (GECS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129695750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Review on autonomous charger for EV and HEV","authors":"Naoui Mohamed, F. Aymen, B. Mouna, Sbita Alassaad","doi":"10.1109/GECS.2017.8066273","DOIUrl":"https://doi.org/10.1109/GECS.2017.8066273","url":null,"abstract":"Having robust, autonomous and efficient charging stations in our homes or outside seems necessary in order to make EVs more comfortable and encourage cars users to buy this novel generation of cars. Currently, the real problem is related to two essentials points, the charging time and the station of recharge availability. However, finding the best charger mode, that guarantee the efficiency and the minimum charging time is related to numerous exigencies. It is expected that the minimum of recharge time is related to the fixed station of recharge and this mode is efficient only in fixed cars. However, the real problem is related to the running cars, where it is unacceptable that at the middle of travel, the vehicle is stopped and we cannot found a real station of recharge. Therefore, we try to present all charging method and modes that guarantee all needs for users when car is stopped or running.","PeriodicalId":214657,"journal":{"name":"2017 International Conference on Green Energy Conversion Systems (GECS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120991423","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A comparative performances study of different indices for optimal DG placement in distribution system","authors":"Sirine Essallah, A. Bouallegue, A. Khedher","doi":"10.1109/GECS.2017.8066233","DOIUrl":"https://doi.org/10.1109/GECS.2017.8066233","url":null,"abstract":"With the increase of load demand, Distributed Generation (DG) has gained a lot of interest due to its ability to reduce power losses and enhance the system voltage stability. However, a non proper DG allocation and sizing may lead to an increase in power losses and affect the distribution system stability. This paper presents a comparative study for DG placement methods based on four different indices which are voltage drop index (L-index), voltage stability margin index (VSMI), voltage performance index (VPI) and loss sensitivity factor index (LSF). The performances of these indices are evaluated regarding power losses reduction, voltage profile and voltage stability enhancement. Simulations are carried out on the 33-bus radial distribution system. The results have shown that LSF and L-index methods gives better performance compared to the others two DG placement indicators.","PeriodicalId":214657,"journal":{"name":"2017 International Conference on Green Energy Conversion Systems (GECS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116739938","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Faidh Bensidhom, Ali Benhmidène, B. Chaouachi, M. Bourouis
{"title":"Simulation of thermal and hydrodynamic behavior of a solar bubble pump","authors":"Faidh Bensidhom, Ali Benhmidène, B. Chaouachi, M. Bourouis","doi":"10.1109/GECS.2017.8066216","DOIUrl":"https://doi.org/10.1109/GECS.2017.8066216","url":null,"abstract":"The CFD software presents an advanced numerical tool for the simulation of monophasic and diphasic flows in heated or boiling pipes. The bubble pump, which is the driving element of the diffusion absorption machines, shows an example of the heated tubes. This article is devoted to the study of the behavior of flows in a bubble pump of a solar diffusion absorption refrigeration machine, uniformly heated along its section of length 1m and diameter 10mm, using the CFD (Computational Fluid Dynamic) software, Fluent package. This work has been realized supposing that the regime is laminar and the flow is monophasic. Numerical simulation permits to study the effect of heating flux on the temperature and flow velocity distribution. Where water, is used as a working fluid along the tube of the bubble pump. This work shows that the variation of the heating flux has no effect on the fluid velocity in the tube. However, it has an effect on the distribution of the fluid temperature along the section.","PeriodicalId":214657,"journal":{"name":"2017 International Conference on Green Energy Conversion Systems (GECS)","volume":"197 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121326172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Modeling of a photovoltaic cell based on recurrent neural networks","authors":"Hayder Wafa, A. Aicha, B. Mouna","doi":"10.1109/GECS.2017.8066271","DOIUrl":"https://doi.org/10.1109/GECS.2017.8066271","url":null,"abstract":"The work developed in this paper deals with the problem of developing a non-linear model for the photovoltaic cell. Given the complexity of the photovoltaic cell model, we adopted a methodology that is based on the modeling tool by recurrent neural networks that is exploited for the first time in this domain. The work thus developed has validated under the Matlab / Simulink environment.","PeriodicalId":214657,"journal":{"name":"2017 International Conference on Green Energy Conversion Systems (GECS)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116359783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An analytical model for submicron dual material gate GaNMESFET including the temperature effects","authors":"N. Lakhdar, B. Lakehal","doi":"10.1109/GECS.2017.8066258","DOIUrl":"https://doi.org/10.1109/GECS.2017.8066258","url":null,"abstract":"In this paper, a temperature dependent analytical model of submicron Dual Material gate (DM) Gallium Nitride (GaN) MESFET suitable for high power applications is described. The model takes into account the effect of various temperature dependent device parameters in order to develop an accurate current-voltage model of the device under various high temperature (300K-500K) conditions. The model is then extended to evaluate the temperature dependence of transconductance and output conductance. The obtained results have been verified by its good agreement with 2D numerical simulations.","PeriodicalId":214657,"journal":{"name":"2017 International Conference on Green Energy Conversion Systems (GECS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123798013","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Steps of duty cycle effects in P&O MPPT algorithm for PV system","authors":"Hayder Wafa, A. Aicha, B. Mouna","doi":"10.1109/GECS.2017.8066203","DOIUrl":"https://doi.org/10.1109/GECS.2017.8066203","url":null,"abstract":"This paper presents Perturb & Observe (P&O) algorithm for Maximum Power Point Tracking (MPPT) of Photovoltaic (PV) system. We programmed this algorithm with software-programming-Matlab 7.10. The results obtained for different value of duty cycle incremental were presented and commented.","PeriodicalId":214657,"journal":{"name":"2017 International Conference on Green Energy Conversion Systems (GECS)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126758512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Steady state analysis of a doubly-fed induction generator","authors":"Laakam Makhlouf, S. Lassâad","doi":"10.1109/GECS.2017.8066231","DOIUrl":"https://doi.org/10.1109/GECS.2017.8066231","url":null,"abstract":"The aims of this paper are mainly, the modeling and simulation of a doubly fed induction generator used in converting wind energy to an electrical one. First, wind turbine modeling is studied. Second, the method of establishing the steady state control laws of a doubly fed induction generator used in wind turbine system is presented. The model is used to derive the converter control laws of the DFIG in terms of voltage and angle control on the whole operation speed range. Finally, the simulation work performed under MATLAB-SIMULINK package is used to analyze the doubly fed induction generator and illustrate the performances of the proposed analytical method.","PeriodicalId":214657,"journal":{"name":"2017 International Conference on Green Energy Conversion Systems (GECS)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126237911","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}