Pub Date : 2020-06-01DOI: 10.1109/redec49234.2020.9163868
M. Mokhlis, M. Ferfra, Hemeyine Ahmed Vall, Rafika EL Idrissi, C. C. Ahmed, A. Taouni
This paper proposes an accurate photovoltaic emulator using the Sepic converter controlled by a nonlinear controller. This emulator is able to reproduce the current/voltage characteristics as a function of weather conditions. In fact, the backstepping controller is designed to control the output current of the Sepic converter, while a modeled PV module is used to generate the reference of current. The modeling of the PV module is carried out by applying an analytic method, this method can identify the five unknown parameters, which are the series and parallel resistors $(R_{s},R_{sh})$, the ideality coefficient a, the reverse current Is0 and the photocurrent Iph0. Also, by using this method, it is possible to obtain an accurate mathematical model of any PV module by just introducing the information given in the datasheet. So, using the mathematical model with the identified parameters, the proposed PV emulator can mimic perfectly the characteristics of any PV model. The performances of the proposed PV emulator were tested and validated under the Matlab/Simulink environment. Also, the proposed controller is implemented on the Raspberry Pi 3 board and evaluated using the processor-in-the-loop test technique. According to the results, the proposed PV emulator is accurate and gives characteristics similar to those shown in the datasheet.
{"title":"Design and Hardware Implementation of Backstepping Controller Dedicated to the Photovoltaic Emulator","authors":"M. Mokhlis, M. Ferfra, Hemeyine Ahmed Vall, Rafika EL Idrissi, C. C. Ahmed, A. Taouni","doi":"10.1109/redec49234.2020.9163868","DOIUrl":"https://doi.org/10.1109/redec49234.2020.9163868","url":null,"abstract":"This paper proposes an accurate photovoltaic emulator using the Sepic converter controlled by a nonlinear controller. This emulator is able to reproduce the current/voltage characteristics as a function of weather conditions. In fact, the backstepping controller is designed to control the output current of the Sepic converter, while a modeled PV module is used to generate the reference of current. The modeling of the PV module is carried out by applying an analytic method, this method can identify the five unknown parameters, which are the series and parallel resistors $(R_{s},R_{sh})$, the ideality coefficient a, the reverse current Is0 and the photocurrent Iph0. Also, by using this method, it is possible to obtain an accurate mathematical model of any PV module by just introducing the information given in the datasheet. So, using the mathematical model with the identified parameters, the proposed PV emulator can mimic perfectly the characteristics of any PV model. The performances of the proposed PV emulator were tested and validated under the Matlab/Simulink environment. Also, the proposed controller is implemented on the Raspberry Pi 3 board and evaluated using the processor-in-the-loop test technique. According to the results, the proposed PV emulator is accurate and gives characteristics similar to those shown in the datasheet.","PeriodicalId":371125,"journal":{"name":"2020 5th International Conference on Renewable Energies for Developing Countries (REDEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131218218","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}
Pub Date : 2020-06-01DOI: 10.1109/REDEC49234.2020.9163886
K. Moloi, Y. Hamam, J. Jordaan
Power quality (PQ) detection in power systems is a critical aspect of condition monitoring. This helps in ensuring that technical operations are performed within permissible voltage and frequency limits. In this paper, we propose a PQ detection technique for disturbances associated with integrating wind power into the power distribution grid. An Eskom power system with wind power integration is modeled in Digsilent Power Factory software.. Discrete wavelet transform (DWT) is used to decompose voltage signals collected at the source terminals to detect PQ disturbances. The DWT technique is further used to calculate the energy content of the different distorted signals to classify PQ events. This is carried out to analyze the effect of disturbances on voltage and frequency of the power system. The technique aims to detect disturbances such as voltage swell, sag and frequency variations which may arise from integrating wind power into the power grid. From the results presented, it may be concluded operations such as synchronization of the wind power into the grid, power system faults with the integrated wind power and the wind power outage has a negative impact on the PQ of the system. The PQ analysis are analysed used MATLAB.
电力系统电能质量检测是电力系统状态监测的一个重要方面。这有助于确保在允许的电压和频率范围内执行技术操作。在本文中,我们提出了一种PQ检测技术,用于将风电并入配电网的相关干扰。在Digsilent power Factory软件中对Eskom风力发电集成系统进行了建模。采用离散小波变换(DWT)对源端采集的电压信号进行分解,检测PQ干扰。进一步利用DWT技术计算不同失真信号的能量含量,对PQ事件进行分类。这是为了分析扰动对电力系统电压和频率的影响。这项技术的目的是检测电压波动、凹陷和频率变化等干扰,这些干扰可能来自将风力发电整合到电网中。从所提出的结果可以得出,风电并网、电力系统与集成风电发生故障、风电停运等操作对系统PQ有负面影响。利用MATLAB对PQ分析进行了分析。
{"title":"Power Quality Assessment of A Wind Power-Integrated System into the Power Grid","authors":"K. Moloi, Y. Hamam, J. Jordaan","doi":"10.1109/REDEC49234.2020.9163886","DOIUrl":"https://doi.org/10.1109/REDEC49234.2020.9163886","url":null,"abstract":"Power quality (PQ) detection in power systems is a critical aspect of condition monitoring. This helps in ensuring that technical operations are performed within permissible voltage and frequency limits. In this paper, we propose a PQ detection technique for disturbances associated with integrating wind power into the power distribution grid. An Eskom power system with wind power integration is modeled in Digsilent Power Factory software.. Discrete wavelet transform (DWT) is used to decompose voltage signals collected at the source terminals to detect PQ disturbances. The DWT technique is further used to calculate the energy content of the different distorted signals to classify PQ events. This is carried out to analyze the effect of disturbances on voltage and frequency of the power system. The technique aims to detect disturbances such as voltage swell, sag and frequency variations which may arise from integrating wind power into the power grid. From the results presented, it may be concluded operations such as synchronization of the wind power into the grid, power system faults with the integrated wind power and the wind power outage has a negative impact on the PQ of the system. The PQ analysis are analysed used MATLAB.","PeriodicalId":371125,"journal":{"name":"2020 5th International Conference on Renewable Energies for Developing Countries (REDEC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133456558","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}
Pub Date : 2020-06-01DOI: 10.1109/REDEC49234.2020.9163593
H. Rajha, Anna-Maria Abi-Khattar, N. Boussetta, E. Vorobiev, R. Maroun, N. Louka
The aim of this study was to optimize the pulses number of the pulsed electric fields (PEF) and the discharges amount of the high voltage electrical discharges (HVED) treatments for the intensification of polyphenols extraction from pomegranate peels. The latter is a byproduct highly produced in the MENA region. Diffusion using PEF and HVED was therefore carried out for different numbers of pulses and discharges, respectively. Although the extraction yields were higher with HVED treatment, both treatments enhanced the extraction kinetics of polyphenols along with their antiradical activities.
{"title":"Effect of PEF and HVED on polyphenol extraction from pomegranate peels","authors":"H. Rajha, Anna-Maria Abi-Khattar, N. Boussetta, E. Vorobiev, R. Maroun, N. Louka","doi":"10.1109/REDEC49234.2020.9163593","DOIUrl":"https://doi.org/10.1109/REDEC49234.2020.9163593","url":null,"abstract":"The aim of this study was to optimize the pulses number of the pulsed electric fields (PEF) and the discharges amount of the high voltage electrical discharges (HVED) treatments for the intensification of polyphenols extraction from pomegranate peels. The latter is a byproduct highly produced in the MENA region. Diffusion using PEF and HVED was therefore carried out for different numbers of pulses and discharges, respectively. Although the extraction yields were higher with HVED treatment, both treatments enhanced the extraction kinetics of polyphenols along with their antiradical activities.","PeriodicalId":371125,"journal":{"name":"2020 5th International Conference on Renewable Energies for Developing Countries (REDEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124354539","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}
Pub Date : 2020-06-01DOI: 10.1109/REDEC49234.2020.9163596
K. Moloi, Y. Hamam, J. Jordaan
The challenge with most developing countries is to maintain a reliable and sustainable electricity supply. This has a depleting effect on the economic development of most states. In order to reduce the impact of energy shortages, there has been an extensive attempt to use renewable energy sources to generate electricity. There are however technical challenges of integrating the existing power system grid with the renewable external sources. These challenges include adequate power system protection, energy security, and reliability of external sources. In this paper, we investigate the fault pattern recognition and detection in a power distribution grid integrated with the wind energy source. A reduced Eskom 22kV and wind power energy source integrated is modeled using MATLAB/Simulink. From the integrated model, various types of power systems faults are generated. We further investigated the use of local polynomial approximation (LPA) for signal decomposition and support vector machine (SVM) for fault classification and detection. We also tested the performance of the naive Bayes classifier. In this paper, a hybrid technique based on LPA and SVM is proposed for fault pattern recognition and detection in a power distribution integrated system with the wind energy source. The proposed method was further tested using machine learning platforms WEKA and Orange. The results of the classifiers gave the accuracy of between 98 and 99 %.
{"title":"Fault Pattern Recognition in Power Distribution Integrated Network with Renewable Energy Source","authors":"K. Moloi, Y. Hamam, J. Jordaan","doi":"10.1109/REDEC49234.2020.9163596","DOIUrl":"https://doi.org/10.1109/REDEC49234.2020.9163596","url":null,"abstract":"The challenge with most developing countries is to maintain a reliable and sustainable electricity supply. This has a depleting effect on the economic development of most states. In order to reduce the impact of energy shortages, there has been an extensive attempt to use renewable energy sources to generate electricity. There are however technical challenges of integrating the existing power system grid with the renewable external sources. These challenges include adequate power system protection, energy security, and reliability of external sources. In this paper, we investigate the fault pattern recognition and detection in a power distribution grid integrated with the wind energy source. A reduced Eskom 22kV and wind power energy source integrated is modeled using MATLAB/Simulink. From the integrated model, various types of power systems faults are generated. We further investigated the use of local polynomial approximation (LPA) for signal decomposition and support vector machine (SVM) for fault classification and detection. We also tested the performance of the naive Bayes classifier. In this paper, a hybrid technique based on LPA and SVM is proposed for fault pattern recognition and detection in a power distribution integrated system with the wind energy source. The proposed method was further tested using machine learning platforms WEKA and Orange. The results of the classifiers gave the accuracy of between 98 and 99 %.","PeriodicalId":371125,"journal":{"name":"2020 5th International Conference on Renewable Energies for Developing Countries (REDEC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126749479","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}
Pub Date : 2020-06-01DOI: 10.1109/redec49234.2020.9163850
F. Martínez, Thalia A. Morel, H. Fretes, J. Rodas, Y. Kali, R. Gregor
Model predictive control (MPC) has been a research topic for power converters control due to its simplicity, easy inclusion of constraints, fast dynamic response, among others. This work proposes the use of MPC as a current regulator of a voltage source inverter (VSI) in a dual-mode operation. On one hand, the VSI is used to provide current to a load from a photovoltaic panel, being in islanded condition. On the other hand, the VSI is used as an active power filter for the reactive power compensation for a grid-connected condition. Simulation results are provided to show the benefits of the proposed controller.
{"title":"Model Predictive Current Control of Dual-Mode Voltage Source Inverter Operations: Islanded and Grid-Connected","authors":"F. Martínez, Thalia A. Morel, H. Fretes, J. Rodas, Y. Kali, R. Gregor","doi":"10.1109/redec49234.2020.9163850","DOIUrl":"https://doi.org/10.1109/redec49234.2020.9163850","url":null,"abstract":"Model predictive control (MPC) has been a research topic for power converters control due to its simplicity, easy inclusion of constraints, fast dynamic response, among others. This work proposes the use of MPC as a current regulator of a voltage source inverter (VSI) in a dual-mode operation. On one hand, the VSI is used to provide current to a load from a photovoltaic panel, being in islanded condition. On the other hand, the VSI is used as an active power filter for the reactive power compensation for a grid-connected condition. Simulation results are provided to show the benefits of the proposed controller.","PeriodicalId":371125,"journal":{"name":"2020 5th International Conference on Renewable Energies for Developing Countries (REDEC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125281159","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}
Pub Date : 2020-06-01DOI: 10.1109/REDEC49234.2020.9163836
Mohcin Mekhfioui, A. Satif, Omar Mouhib, R. Elgouri, A. Hadjoudja, L. Hlou
Blind Source Separation (BSS) is termed as the extraction of source signals from mixed data without or with little knowledge about the source signals. It is used in many fields of research such as military, medical and industry. Among the many challenges that must be overcome to apply BSS to a real system, implementation restrictions are the most difficult. Software implementations require a significant amount of overhead to make them applicable to real-time systems and have a lower maximum speed of operation than hardware implementations. When speed is desired, the algorithm should be implemented on specialized hardware such as a Field Programmable Gate Array(FPGA) which allows the user to take advantage of parallel computational abilities. This paper describes the methodology for implementing real-time DSP applications on FPGA and the concept of hardware software cosimulation of the Second Order Blind Identification (SOBI) algorithm using MATLAB Simulink and Xilinx System Generator (XSG). Performances of efficient architectures are implemented on FPGA ZYBO Z7 Zynq-7020.
盲源分离(BSS)是指在不了解源信号或对源信号知之甚少的情况下从混合数据中提取源信号。它被用于许多研究领域,如军事、医疗和工业。在将BSS应用于实际系统必须克服的许多挑战中,实现限制是最困难的。软件实现需要大量的开销才能使它们适用于实时系统,并且具有比硬件实现更低的最大操作速度。当需要速度时,算法应该在专门的硬件上实现,例如现场可编程门阵列(FPGA),它允许用户利用并行计算能力。本文介绍了在FPGA上实现实时DSP应用的方法,以及利用MATLAB Simulink和Xilinx System Generator (XSG)对二阶盲识别(SOBI)算法进行软硬件协同仿真的概念。在FPGA ZYBO Z7 Zynq-7020上实现了高效架构的性能。
{"title":"Hardware Implementation of Blind Source Separation Algorithm Using ZYBO Z7& Xilinx System Generator","authors":"Mohcin Mekhfioui, A. Satif, Omar Mouhib, R. Elgouri, A. Hadjoudja, L. Hlou","doi":"10.1109/REDEC49234.2020.9163836","DOIUrl":"https://doi.org/10.1109/REDEC49234.2020.9163836","url":null,"abstract":"Blind Source Separation (BSS) is termed as the extraction of source signals from mixed data without or with little knowledge about the source signals. It is used in many fields of research such as military, medical and industry. Among the many challenges that must be overcome to apply BSS to a real system, implementation restrictions are the most difficult. Software implementations require a significant amount of overhead to make them applicable to real-time systems and have a lower maximum speed of operation than hardware implementations. When speed is desired, the algorithm should be implemented on specialized hardware such as a Field Programmable Gate Array(FPGA) which allows the user to take advantage of parallel computational abilities. This paper describes the methodology for implementing real-time DSP applications on FPGA and the concept of hardware software cosimulation of the Second Order Blind Identification (SOBI) algorithm using MATLAB Simulink and Xilinx System Generator (XSG). Performances of efficient architectures are implemented on FPGA ZYBO Z7 Zynq-7020.","PeriodicalId":371125,"journal":{"name":"2020 5th International Conference on Renewable Energies for Developing Countries (REDEC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122595796","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}
Pub Date : 2020-06-01DOI: 10.1109/redec49234.2020.9163904
{"title":"REDEC 2020 Committees","authors":"","doi":"10.1109/redec49234.2020.9163904","DOIUrl":"https://doi.org/10.1109/redec49234.2020.9163904","url":null,"abstract":"","PeriodicalId":371125,"journal":{"name":"2020 5th International Conference on Renewable Energies for Developing Countries (REDEC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116510618","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}
Pub Date : 2020-06-01DOI: 10.1109/REDEC49234.2020.9163852
Sabine Saad, M. Ghandour, M. Brouche, A. Mourtada
Climate change caused by increasing greenhouse gas (GHG) levels released in the atmosphere by burning fossil fuels is threatening our ecosystem. A radical change in the behavior of humanity is thus needed urgently. One of the major challenges is to replace our current energy systems with sustainable systems in the face of environmental degradation. For this purpose, and as part of the European initiatives, the Covenant of Mayors is enabling municipalities, cities and regions to carry out actions in the fields of energy and climate. In this framework, a newly-developed tool, the SECAP-SSP or Sustainable Energy and Climate Action Plan–Self Sufficient Program, is applied by the Municipality of Hammana-Lebanon (standard process) in order to design its Sustainable Energy and Climate Action Plan (SECAP) and ensure compliance with the Covenant of Mayors. This case study has resulted in a broad understanding of how to use this tool, or even to show that SECAP-SSP has greatly simplified the task compared to the conventional tools that have been used before. It should be noted that SECAP-SSP can be applied by any municipality in Lebanon and can be extended to suit the South-Mediterranean context. Every authority could create its “SECAP” space online. The various human activities in all sectors (residential, tertiary, industry, transportation, agriculture, electricity generation, etc.) involving energy consumption as well as greenhouse gas emissions are the specific data that the user must enter. The structure of the software facilitates the work to be done in each sector. Other data on climate, the availability of renewable energy and the current price of fossil fuels are provided by the tool. Indicators (economic, environmental and potential) to achieve optimization are calculated by the tool. In the end, SECAP-SSP established a Baseline Emission Inventory (BEI) for the authority as well as it suggested the SECAP, feasible and profitable both economically and environmentally.
{"title":"Establishment of a Sustainable Energy Action Plan Case Study of a Municipality in Lebanon","authors":"Sabine Saad, M. Ghandour, M. Brouche, A. Mourtada","doi":"10.1109/REDEC49234.2020.9163852","DOIUrl":"https://doi.org/10.1109/REDEC49234.2020.9163852","url":null,"abstract":"Climate change caused by increasing greenhouse gas (GHG) levels released in the atmosphere by burning fossil fuels is threatening our ecosystem. A radical change in the behavior of humanity is thus needed urgently. One of the major challenges is to replace our current energy systems with sustainable systems in the face of environmental degradation. For this purpose, and as part of the European initiatives, the Covenant of Mayors is enabling municipalities, cities and regions to carry out actions in the fields of energy and climate. In this framework, a newly-developed tool, the SECAP-SSP or Sustainable Energy and Climate Action Plan–Self Sufficient Program, is applied by the Municipality of Hammana-Lebanon (standard process) in order to design its Sustainable Energy and Climate Action Plan (SECAP) and ensure compliance with the Covenant of Mayors. This case study has resulted in a broad understanding of how to use this tool, or even to show that SECAP-SSP has greatly simplified the task compared to the conventional tools that have been used before. It should be noted that SECAP-SSP can be applied by any municipality in Lebanon and can be extended to suit the South-Mediterranean context. Every authority could create its “SECAP” space online. The various human activities in all sectors (residential, tertiary, industry, transportation, agriculture, electricity generation, etc.) involving energy consumption as well as greenhouse gas emissions are the specific data that the user must enter. The structure of the software facilitates the work to be done in each sector. Other data on climate, the availability of renewable energy and the current price of fossil fuels are provided by the tool. Indicators (economic, environmental and potential) to achieve optimization are calculated by the tool. In the end, SECAP-SSP established a Baseline Emission Inventory (BEI) for the authority as well as it suggested the SECAP, feasible and profitable both economically and environmentally.","PeriodicalId":371125,"journal":{"name":"2020 5th International Conference on Renewable Energies for Developing Countries (REDEC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128013066","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}
Pub Date : 2020-06-01DOI: 10.1109/REDEC49234.2020.9163603
A. Ammar, H. Kanaan, M. Hamouda, K. Al-haddad
In this research, an assemblage of pulse width modulation categories is used to control the dual stages of the indirect matrix converter. The novel modulation technique is facilely comprehended and simply put into real-time practice. An experimental prototype of the indirect matrix converter is developed. The modulation algorithm is implemented on a digital signal processor. After establishing the duty ratios and the modulation signals, the gate drive signals are formed and sent to the semiconductor devices. Keen analysis of the overall system and the overall consolidation of topology, modulation, and drive implementation is presented.
{"title":"Gate Drive Implementation of an Indirect Matrix Converter with Hybrid PWM Modulation","authors":"A. Ammar, H. Kanaan, M. Hamouda, K. Al-haddad","doi":"10.1109/REDEC49234.2020.9163603","DOIUrl":"https://doi.org/10.1109/REDEC49234.2020.9163603","url":null,"abstract":"In this research, an assemblage of pulse width modulation categories is used to control the dual stages of the indirect matrix converter. The novel modulation technique is facilely comprehended and simply put into real-time practice. An experimental prototype of the indirect matrix converter is developed. The modulation algorithm is implemented on a digital signal processor. After establishing the duty ratios and the modulation signals, the gate drive signals are formed and sent to the semiconductor devices. Keen analysis of the overall system and the overall consolidation of topology, modulation, and drive implementation is presented.","PeriodicalId":371125,"journal":{"name":"2020 5th International Conference on Renewable Energies for Developing Countries (REDEC)","volume":"181 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133739515","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}
Pub Date : 2020-06-01DOI: 10.1109/redec49234.2020.9163875
C. El‐Bayeh, Khaled Alzaareer, B. Brahmi, I. Mougharbel, M. Saad, A. Chandra, U. Eicker
The increased penetration level of Electric Vehicles (EVs) on the Distribution Network (DN) will cause severe problems on the network especially when all EVs tend to charge when the electricity price is low, even in the presence of demand response programs. The main problem is caused by the topology of the existing DN, in which the network is decentralized in terms of controlling and scheduling the loads. The Distribution System Operator (DSO) has no authority to control the loads of the endusers due to security and privacy issues. To overcome this situation, we propose a novel Programmable Smart Transformer, in which the DSO can program to perform certain tasks and to control the total load-demand on the transformer without intervening in controlling the particular loads of the end-users. Therefore, the security and privacy issues are solved, and both DSO and end-users are satisfied.
{"title":"A Novel Programmable Smart Transformer for Energy Management in Buildings","authors":"C. El‐Bayeh, Khaled Alzaareer, B. Brahmi, I. Mougharbel, M. Saad, A. Chandra, U. Eicker","doi":"10.1109/redec49234.2020.9163875","DOIUrl":"https://doi.org/10.1109/redec49234.2020.9163875","url":null,"abstract":"The increased penetration level of Electric Vehicles (EVs) on the Distribution Network (DN) will cause severe problems on the network especially when all EVs tend to charge when the electricity price is low, even in the presence of demand response programs. The main problem is caused by the topology of the existing DN, in which the network is decentralized in terms of controlling and scheduling the loads. The Distribution System Operator (DSO) has no authority to control the loads of the endusers due to security and privacy issues. To overcome this situation, we propose a novel Programmable Smart Transformer, in which the DSO can program to perform certain tasks and to control the total load-demand on the transformer without intervening in controlling the particular loads of the end-users. Therefore, the security and privacy issues are solved, and both DSO and end-users are satisfied.","PeriodicalId":371125,"journal":{"name":"2020 5th International Conference on Renewable Energies for Developing Countries (REDEC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123704260","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}