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Dr. Adel Merabet
Saint Mary's University

Basic Info


Research Keywords & Expertise

0 Control Analysis
0 Artifical Intelligence
0 Renewable energies
0 Automation of Electric Systems
0 microgrid control

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Sliding Mode Control (SMC)
microgrid control

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Short Biography

Received the Ph.D. degree in engineering from the University’s du Qu´ebec `a Chicoutimi, Chicoutimi, QC, Canada, in 2007.He is an Associate Professor in the Division of Engineering, Saint Mary’s University, Halifax, NS, Canada. Currently, he is a Visiting Academic in the Department of Sustainable and Renewable Energy Engineering, University of Sharjah, Sharjah, UAE. His research interests include renewable (wind-solar) energy conversion systems, energy management, advanced control systems, and smart grid.

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Journal article
Published: 23 June 2021 in Energies
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This study investigates the use of division algorithms to optimize the size of a desalination system integrated with a microgrid based on a wind turbine plant and the battery storage to supply freshwater based on cost, reliability, and energy losses. Cumulative exergy demand is used to identify and minimize the energy losses in the optimized system. Division algorithms are used to overcome the drawback of low convergence speed encountered by the well-known method genetic algorithm. The findings indicated that there is a positive relationship between cost, cumulative exergy, and reliability. More specifically, when the loss of power supply probability is 10%, compared to when it is 0%, the total cumulative exergy demand and total life cycle cost are reduced by 34.76% when the battery is full and 45.44% when the battery is empty and there is a 44.43% decrease in total life cycle cost, respectively. However, the more reliable system, the less exergy is lost during the production of 1 m3 freshwater by desalination integrated into wind turbine plant.

ACS Style

Mohammadali Kiehbadroudinezhad; Adel Merabet; Homa Hosseinzadeh-Bandbafha. Optimization of Wind Energy Battery Storage Microgrid by Division Algorithm Considering Cumulative Exergy Demand for Power-Water Cogeneration. Energies 2021, 14, 3777 .

AMA Style

Mohammadali Kiehbadroudinezhad, Adel Merabet, Homa Hosseinzadeh-Bandbafha. Optimization of Wind Energy Battery Storage Microgrid by Division Algorithm Considering Cumulative Exergy Demand for Power-Water Cogeneration. Energies. 2021; 14 (13):3777.

Chicago/Turabian Style

Mohammadali Kiehbadroudinezhad; Adel Merabet; Homa Hosseinzadeh-Bandbafha. 2021. "Optimization of Wind Energy Battery Storage Microgrid by Division Algorithm Considering Cumulative Exergy Demand for Power-Water Cogeneration." Energies 14, no. 13: 3777.

Journal article
Published: 08 March 2021 in Applied Sciences
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Forecasting wind speed is one of the most important and challenging problems in the wind power prediction for electricity generation. Long short-term memory was used as a solution to short-term memory to address the problem of the disappearance or explosion of gradient information during the training process experienced by the recurrent neural network (RNN) when used to study time series. In this study, this problem is addressed by proposing a prediction model based on long short-term memory and a deep neural network developed to forecast the wind speed values of multiple time steps in the future. The weather database in Halifax, Canada was used as a source for two series of wind speeds per hour. Two different seasons spring (March 2015) and summer (July 2015) were used for training and testing the forecasting model. The results showed that the use of the proposed model can effectively improve the accuracy of wind speed prediction.

ACS Style

Meftah Elsaraiti; Adel Merabet. Application of Long-Short-Term-Memory Recurrent Neural Networks to Forecast Wind Speed. Applied Sciences 2021, 11, 2387 .

AMA Style

Meftah Elsaraiti, Adel Merabet. Application of Long-Short-Term-Memory Recurrent Neural Networks to Forecast Wind Speed. Applied Sciences. 2021; 11 (5):2387.

Chicago/Turabian Style

Meftah Elsaraiti; Adel Merabet. 2021. "Application of Long-Short-Term-Memory Recurrent Neural Networks to Forecast Wind Speed." Applied Sciences 11, no. 5: 2387.

Journal article
Published: 25 January 2021 in Engineering Science and Technology, an International Journal
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In this paper, a nature-inspired optimization algorithm is employed for parametric tuning of proportional-integral controllers in the vector control of a grid-linked doubly-fed induction generator energy system. The optimization approach is based on the nature-inspired computing technique from the water cycle. The vector control system includes loops for dc-link voltage control at the grid side converter and the rotor current at the rotor side converter. The water cycle optimization is implemented to tune six control parameters by minimizing a cost function carried out using the tracking errors. The cost function value, required in the optimization process, is carried out from a simulated grid-linked doubly-fed induction generator energy system. The optimized control parameters are tested on an experimental setup. Experimental results, obtained for a grid-linked doubly-fed induction generator energy system in terms of different optimization methods and conditions, are provided to demonstrate the effectiveness of water cycle optimization technique. As a result of the comparative analysis, it is observed that water cycle technique offers better results in minimizing the overshoot and the response time.

ACS Style

Hale Bakir; Adel Merabet; Rupak Kanti Dhar; Ahmet Afsin Kulaksiz. Experimental evaluation of water cycle technique for control parameters optimization of double-fed induction generator-based wind turbine. Engineering Science and Technology, an International Journal 2021, 24, 890 -898.

AMA Style

Hale Bakir, Adel Merabet, Rupak Kanti Dhar, Ahmet Afsin Kulaksiz. Experimental evaluation of water cycle technique for control parameters optimization of double-fed induction generator-based wind turbine. Engineering Science and Technology, an International Journal. 2021; 24 (4):890-898.

Chicago/Turabian Style

Hale Bakir; Adel Merabet; Rupak Kanti Dhar; Ahmet Afsin Kulaksiz. 2021. "Experimental evaluation of water cycle technique for control parameters optimization of double-fed induction generator-based wind turbine." Engineering Science and Technology, an International Journal 24, no. 4: 890-898.

Journal article
Published: 01 January 2021 in IEEE Systems Journal
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ACS Style

Rupak Kanti Dhar; Adel Merabet; Hale Bakir; Amer M.Y.M. Ghias. Implementation of Water Cycle Optimization for Parametric Tuning of PI Controllers in Solar PV and Battery Storage Microgrid System. IEEE Systems Journal 2021, 1 -12.

AMA Style

Rupak Kanti Dhar, Adel Merabet, Hale Bakir, Amer M.Y.M. Ghias. Implementation of Water Cycle Optimization for Parametric Tuning of PI Controllers in Solar PV and Battery Storage Microgrid System. IEEE Systems Journal. 2021; ():1-12.

Chicago/Turabian Style

Rupak Kanti Dhar; Adel Merabet; Hale Bakir; Amer M.Y.M. Ghias. 2021. "Implementation of Water Cycle Optimization for Parametric Tuning of PI Controllers in Solar PV and Battery Storage Microgrid System." IEEE Systems Journal , no. : 1-12.

Journal article
Published: 04 December 2020 in IEEE Access
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In this paper, an energy management system, based on different power balance modes and dynamic grid power flow, is proposed to operate a DC-link microgrid based on a solar photovoltaic generator and battery storage, with the option to request variable power from the grid to meet the load demand. The energy management provides the required references, for each mode, based on the solar source availability, the battery status, the power losses, and the grid billing rate. A fuzzy logic system is developed to provide a dynamic grid power flow based on the grid price. Eight power balance modes are defined based on the power generation, storage, and grid affordability to meet the load demand. The objectives are to minimize the energy cost and increase the lifespan of the storage device. The microgrid is controlled to maintain a constant DC-link voltage and regulate the battery current depending on the mode of operation. The proposed energy management system, based on the power balance modes, is experimentally validated on a laboratory-scale DC-link microgrid for different conditions. The experimental results have shown the satisfactory performance of the microgrid and smooth transitions between the different power balance modes.

ACS Style

Rupak Kanti Dhar; Adel Merabet; Ahmed Al-Durra; Amer M. Y. M. Ghias. Power Balance Modes and Dynamic Grid Power Flow in Solar PV and Battery Storage Experimental DC-Link Microgrid. IEEE Access 2020, 8, 219847 -219858.

AMA Style

Rupak Kanti Dhar, Adel Merabet, Ahmed Al-Durra, Amer M. Y. M. Ghias. Power Balance Modes and Dynamic Grid Power Flow in Solar PV and Battery Storage Experimental DC-Link Microgrid. IEEE Access. 2020; 8 (99):219847-219858.

Chicago/Turabian Style

Rupak Kanti Dhar; Adel Merabet; Ahmed Al-Durra; Amer M. Y. M. Ghias. 2020. "Power Balance Modes and Dynamic Grid Power Flow in Solar PV and Battery Storage Experimental DC-Link Microgrid." IEEE Access 8, no. 99: 219847-219858.

Editorial
Published: 23 October 2020 in Electronics
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In the Special Issue “Advanced Control for Electric Drives”, the objective is to address a variety of issues related to advances in control techniques for electric drives, implementation challenges, and applications in emerging fields such as electric vehicles, unmanned aerial vehicles, maglev trains and motion applications. This issue includes 15 selected and peer-reviewed articles discussing a wide range of topics, where intelligent control, estimation and observation schemes were applied to electric drives for various applications. Different drives were studied such as induction motors, permanent magnet synchronous motors and brushless direct current motors.

ACS Style

Adel Merabet. Advanced Control for Electric Drives: Current Challenges and Future Perspectives. Electronics 2020, 9, 1762 .

AMA Style

Adel Merabet. Advanced Control for Electric Drives: Current Challenges and Future Perspectives. Electronics. 2020; 9 (11):1762.

Chicago/Turabian Style

Adel Merabet. 2020. "Advanced Control for Electric Drives: Current Challenges and Future Perspectives." Electronics 9, no. 11: 1762.

Research article
Published: 22 October 2020 in International Transactions on Electrical Energy Systems
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A novel energy management algorithm (EMA) is proposed for a smart home with electric vehicle (EV), energy storage system (ESS), and bidirectional energy transfer with the grid that can be implemented on a low‐cost home energy management system (HEMS). The proposed algorithm is composed of online and offline layers and it takes into consideration the controllable load and battery degradation as well as vehicle to home (V2H) and home to grid (H2G) services. As the main objective of this study is to present a low‐cost alternative to the existing optimization‐based energy management algorithms, a rule‐based algorithm is proposed to schedule the operation of EV, ESS, and controllable load, which requires low computational power and memory. In this regard, the major deficiency of rule‐based algorithms in bi‐directional markets, which is their inability to address the relative nature of feed‐in tariffs has been tackled in this work. Omitting this issue could cause the rule‐based algorithms to be incapable of dispatching EV and ESS within bi‐directional markets efficiently. The proposed algorithm incorporates a fuzzy‐rule‐based offline layer along with a modifying on‐line layer. The functionality of the presented EMA has been validated experimentally using a hardware‐in‐the‐loop (HIL) setup, which confirmed major improvements in revenue, cost of energy, and peaks of power for a home.

ACS Style

Hooman Ekhteraei Toosi; Adel Merabet; Andrew Swingler. Dual‐layer power scheduling strategy for EV‐ESS‐controllable load in bi‐directional dynamic markets for low‐cost implementation. International Transactions on Electrical Energy Systems 2020, 31, 1 .

AMA Style

Hooman Ekhteraei Toosi, Adel Merabet, Andrew Swingler. Dual‐layer power scheduling strategy for EV‐ESS‐controllable load in bi‐directional dynamic markets for low‐cost implementation. International Transactions on Electrical Energy Systems. 2020; 31 (1):1.

Chicago/Turabian Style

Hooman Ekhteraei Toosi; Adel Merabet; Andrew Swingler. 2020. "Dual‐layer power scheduling strategy for EV‐ESS‐controllable load in bi‐directional dynamic markets for low‐cost implementation." International Transactions on Electrical Energy Systems 31, no. 1: 1.

Journal article
Published: 06 October 2020 in European Journal of Science and Technology
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Şebekeye bağlı rüzgar santrallerinin işletmesi son yıllarda hızla artmaktadır. Rüzgar enerjisi santrallerinin kullanımı caziptir çünkü hem şebekeyi rahatlatırlar hem de nispeten ekonomiktirler. Ancak rüzgar santralleri şebekeye bağlı olarak çalışmaları sırasında oluşabilecek sorunlardan etkilenmektedir. Bu sorunlar özellikle voltaj düşüşü ve artan salınımlar olarak görülmektedir. Rüzgar santralinin dinamik modellenmesi ve kontrolü bu sorunlara karşı önem kazanmaktadır. DFIG'nin rüzgar enerji sistemlerinde kullanılmasının en önemli nedenleri arasında yüksek enerji verimi, mekanik yüklerin azaltılması, daha kolay açı kontrol sisteminin uygulanabilirliği, aktif ve reaktif gücün geniş kontrolü ve çıkış gücündeki dalgalanmalar bulunmaktadır. Bu çalışmada DFIG tabanlı rüzgar enerjisi sisteminin OPAL-RT teknolojisi kullanılarak güç kontrol sonuçları verilmiş ve gerçek zamanlı kontrol simülasyonu yapılmıştır. Gerçek zamanlı sonuçlar, sistemdeki Id akımı değiştiğinde, aktif gücün reaktif güç artarken toplamı dengelemek için azaldığını göstermiştir.

ACS Style

Hale Bakir; Adel Merabet; Ahmet Afşin KULAKSIZ. OPAL-RT kullanarak DFIG tabanlı rüzgar enerji sisteminde güç kontrolü. European Journal of Science and Technology 2020, 373 -379.

AMA Style

Hale Bakir, Adel Merabet, Ahmet Afşin KULAKSIZ. OPAL-RT kullanarak DFIG tabanlı rüzgar enerji sisteminde güç kontrolü. European Journal of Science and Technology. 2020; ():373-379.

Chicago/Turabian Style

Hale Bakir; Adel Merabet; Ahmet Afşin KULAKSIZ. 2020. "OPAL-RT kullanarak DFIG tabanlı rüzgar enerji sisteminde güç kontrolü." European Journal of Science and Technology , no. : 373-379.

Research article
Published: 25 September 2020 in The Journal of Engineering
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In this study, an integral sliding mode control approach for controlling the power electronics converters of a doubly-fed induction generator (DFIG) wind turbine system is presented. The power electronics interface consists of back-to-back converters. The rotor side converter regulates the active and reactive powers at the DFIG stator through controlling the stator currents. The stator current dynamics, with respect to the rotor voltages, is developed from the conventional equations of the DFIG model. In this control configuration, the knowledge about the rotor currents is not required, which reduces the use of the current measurement sensors. The grid side converter ensures constant dc-link voltage while transferring the power from the DFIG rotor to the grid. The proposed control approach uses a composition of sliding mode and integral parts to improve the overall performance and robustness against parametric variations and uncertainties. A lab-scale DFIG wind turbine system is used to investigate the proposed control approach efficiency under various operating conditions. The experimental results show the effectiveness of the proposed control approach in achieving control objectives to operate the DFIG wind turbine system.

ACS Style

Adel Merabet; Ahmed Al‐Durra; Mahdi Debouza; Aman A. Tanvir; Hisham Eshaft. Integral sliding mode control for back‐to‐back converter of DFIG wind turbine system. The Journal of Engineering 2020, 2020, 834 -842.

AMA Style

Adel Merabet, Ahmed Al‐Durra, Mahdi Debouza, Aman A. Tanvir, Hisham Eshaft. Integral sliding mode control for back‐to‐back converter of DFIG wind turbine system. The Journal of Engineering. 2020; 2020 (10):834-842.

Chicago/Turabian Style

Adel Merabet; Ahmed Al‐Durra; Mahdi Debouza; Aman A. Tanvir; Hisham Eshaft. 2020. "Integral sliding mode control for back‐to‐back converter of DFIG wind turbine system." The Journal of Engineering 2020, no. 10: 834-842.

Research article
Published: 03 July 2020 in IET Renewable Power Generation
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In this study, an optimisation method, based on bacteria foraging, is investigated to tune the parameters of the proportional–integral (PI) controllers in a doubly-fed induction generator (DFIG) wind energy system connected to the grid. The generator is connected to the grid directly at the stator and through the back-to-back converter at the rotor. The control system includes PI controllers, at the rotor side, to regulate the rotor currents and PI controller to regulate the dc-link voltage for efficient power transfer. The control parameters, of three PI controllers, are optimised offline using the bacteria foraging optimisation algorithm and a modelled DFIG wind energy system. Various performance criteria, based on the tracking errors, are used to assess the efficiency of the optimisation method. Furthermore, the conventional tuning method and genetic algorithm optimisation method are conducted and compared to the bacteria foraging optimisation method to demonstrate its advantages. The optimised control parameters are evaluated on a DFIG wind energy experimental setup. Experimental and simulation results are provided to validate the effectiveness of each optimisation method.

ACS Style

Hale Bakir; Adel Merabet; Rupak Kanti Dhar; Ahmet Afsin Kulaksiz. Bacteria foraging optimisation algorithm based optimal control for doubly‐fed induction generator wind energy system. IET Renewable Power Generation 2020, 14, 1850 -1859.

AMA Style

Hale Bakir, Adel Merabet, Rupak Kanti Dhar, Ahmet Afsin Kulaksiz. Bacteria foraging optimisation algorithm based optimal control for doubly‐fed induction generator wind energy system. IET Renewable Power Generation. 2020; 14 (11):1850-1859.

Chicago/Turabian Style

Hale Bakir; Adel Merabet; Rupak Kanti Dhar; Ahmet Afsin Kulaksiz. 2020. "Bacteria foraging optimisation algorithm based optimal control for doubly‐fed induction generator wind energy system." IET Renewable Power Generation 14, no. 11: 1850-1859.

Journal article
Published: 05 April 2020 in Energies
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This paper presents an improved estimation strategy for the rotor flux, the rotor speed and the frequency required in the control scheme of a standalone wind energy conversion system based on self-excited three-phase squirrel-cage induction generator with battery storage. At the generator side control, the rotor flux is estimated using an adaptive Kalman filter, and the rotor speed is estimated based on an artificial neural network. This estimation technique enhances the robustness against parametric variations and uncertainties due to the adaptation mechanisms. A vector control scheme is used at the load side converter for controlling the load voltage with respect to amplitude and frequency. The frequency is estimated by a Kalman filter method. The estimation schemes require only voltage and current measurements. A power management system is developed to operate the battery storage in the DC-microgrid based on the wind generation. The control strategy operates under variable wind speed and variable load. The control, estimation and power management schemes are built in the MATLAB/Simulink and RT-LAB platforms and experimentally validated using the OPAL-RT real-time digital controller and a DC-microgrid experimental setup.

ACS Style

Aman A. Tanvir; Adel Merabet. Artificial Neural Network and Kalman Filter for Estimation and Control in Standalone Induction Generator Wind Energy DC Microgrid. Energies 2020, 13, 1743 .

AMA Style

Aman A. Tanvir, Adel Merabet. Artificial Neural Network and Kalman Filter for Estimation and Control in Standalone Induction Generator Wind Energy DC Microgrid. Energies. 2020; 13 (7):1743.

Chicago/Turabian Style

Aman A. Tanvir; Adel Merabet. 2020. "Artificial Neural Network and Kalman Filter for Estimation and Control in Standalone Induction Generator Wind Energy DC Microgrid." Energies 13, no. 7: 1743.

Journal article
Published: 01 April 2020 in International Journal of Hydrogen Energy
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A technico-economic analysis based on integrated modeling, simulation, and optimization approach is used in this study to design an off grid hybrid solar PV/Fuel Cell power system. The main objective is to optimize the design and develop dispatch control strategies of the standalone hybrid renewable power system to meet the desired electric load of a residential community located in a desert region. The effects of temperature and dust accumulation on the solar PV panels on the design and performance of the hybrid power system in a desert region is investigated. The goal of the proposed off-grid hybrid renewable energy system is to increase the penetration of renewable energy in the energy mix, reduce the greenhouse gas emissions from fossil fuel combustion, and lower the cost of energy from the power systems. Simulation, modeling, optimization and dispatch control strategies were used in this study to determine the performance and the cost of the proposed hybrid renewable power system. The simulation results show that the distributed power generation using solar PV and Fuel Cell energy systems integrated with an electrolyzer for hydrogen production and using cycle charging dispatch control strategy (the fuel cell will operate to meet the AC primary load and the surplus of electrical power is used to run the electrolyzer) offers the best performance. The hybrid power system was designed to meet the energy demand of 4500 kWh/day of the residential community (150 houses). The total power production from the distributed hybrid energy system was 52% from the solar PV, and 48% from the fuel cell. From the total electricity generated from the photovoltaic hydrogen fuel cell hybrid system, 80.70% is used to meet all the AC load of the residential community with negligible unmet AC primary load (0.08%), 14.08% is the input DC power for the electrolyzer for hydrogen production, 3.30% are the losses in the DC/AC inverter, and 1.84% is the excess power (dumped energy). The proposed off-grid hybrid renewable power system has 40.2% renewable fraction, is economically viable with a levelized cost of energy of 145 $/MWh and is environmentally friendly (zero carbon dioxide emissions during the electricity generation from the solar PV and Fuel Cell hybrid power system).

ACS Style

Chaouki Ghenai; Tareq Salameh; Adel Merabet. Technico-economic analysis of off grid solar PV/Fuel cell energy system for residential community in desert region. International Journal of Hydrogen Energy 2020, 45, 11460 -11470.

AMA Style

Chaouki Ghenai, Tareq Salameh, Adel Merabet. Technico-economic analysis of off grid solar PV/Fuel cell energy system for residential community in desert region. International Journal of Hydrogen Energy. 2020; 45 (20):11460-11470.

Chicago/Turabian Style

Chaouki Ghenai; Tareq Salameh; Adel Merabet. 2020. "Technico-economic analysis of off grid solar PV/Fuel cell energy system for residential community in desert region." International Journal of Hydrogen Energy 45, no. 20: 11460-11470.

Journal article
Published: 21 February 2020 in Solar Energy
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In this study the details of energy consumption and its cost were studied and analyzed for a commercial office building in United Arab Emirates (UAE) as hot, dry and humid region where the cooling load is very high. Two different cases were simulated namely (a) base case without photovoltaic (PV) with normal glass windows (b) building integrated photovoltaic (BIPV) façade system with transparent PV windows. The building size, space layout, dimensions, shape and orientation for both cases were exactly the same. The PVSYST software was used to determine the best orientation for BIPV façade system installation to minimize the cooling load and maximize the electrical energy production. The amorphous silicon thin film was used for case (b) along with the weather data for the building location in Sharjah, UAE. The cooling load inside the building and its cost were evaluated for both cases. The use of BIPV façade system case in hot, dry and humid region saved the annual electrical consumption for the air conditioning system by 27.69% while it reduced the yearly energy cost by US$ 2084. Such a study would offer data at critical climate conditions necessary for the design and future implementation of this system in the Emirate of Sharjah.

ACS Style

Tareq Salameh; Mamdouh El Haj Assad; Muhammad Tawalbeh; Chaouki Ghenai; Adel Merabet; Hakan F. Öztop. Analysis of cooling load on commercial building in UAE climate using building integrated photovoltaic façade system. Solar Energy 2020, 199, 617 -629.

AMA Style

Tareq Salameh, Mamdouh El Haj Assad, Muhammad Tawalbeh, Chaouki Ghenai, Adel Merabet, Hakan F. Öztop. Analysis of cooling load on commercial building in UAE climate using building integrated photovoltaic façade system. Solar Energy. 2020; 199 ():617-629.

Chicago/Turabian Style

Tareq Salameh; Mamdouh El Haj Assad; Muhammad Tawalbeh; Chaouki Ghenai; Adel Merabet; Hakan F. Öztop. 2020. "Analysis of cooling load on commercial building in UAE climate using building integrated photovoltaic façade system." Solar Energy 199, no. : 617-629.

Journal article
Published: 09 December 2019 in Electronics
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This paper presents a cascade second-order sliding mode control scheme applied to a permanent magnet synchronous motor for speed tracking applications. The control system is comprised of two control loops for the speed and the armature current control, where the command of the speed controller (outer loop) is the reference of the q-current controller (inner loop) that forms the cascade structure. The sliding mode control algorithm is based on a single input-output state space model and a second order control structure. The proposed cascade second order sliding mode control approach is validated on an experimental permanent magnet synchronous motor drive. Experimental results are provided to validate the effectiveness of the proposed control strategy with respect to speed and current control. Moreover, the robustness of the second-order sliding mode controller is guaranteed in terms of unknown disturbances and parametric and modeling uncertainties.

ACS Style

Adel Merabet. Cascade Second Order Sliding Mode Control for Permanent Magnet Synchronous Motor Drive. Electronics 2019, 8, 1508 .

AMA Style

Adel Merabet. Cascade Second Order Sliding Mode Control for Permanent Magnet Synchronous Motor Drive. Electronics. 2019; 8 (12):1508.

Chicago/Turabian Style

Adel Merabet. 2019. "Cascade Second Order Sliding Mode Control for Permanent Magnet Synchronous Motor Drive." Electronics 8, no. 12: 1508.

Journal article
Published: 04 November 2019 in Energy
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The integration of renewable energy technologies (solar, wind, biomass, ocean, geothermal energy) is gaining importance in the United Arab Emirates owing to the high energy demand and greenhouse gas (GHG) emissions. This paper presents the analysis and results of the performance and optimization of a stand-alone solar PV power system with single-axis (horizontal and vertical) and dual-axis solar trackers and a diesel generator (DG) for the city of Khorfakkan, Sharjah. The modeling, simulations, and optimization analysis of the hybrid energy system (HES) were performed with the HOMER software based on the daily energy consumption of 37.75 MWh in the study area. The simulation results show that employing an HES with dual-axis solar trackers is the best power system architecture considering the renewable fraction (48.55%) and levelized cost of energy (LCOE; 0.25 $/kWh). The proposed HES meets the annual energy demand of the city (13,778 MWh) without shortages and with an electricity excess of 9.81%. In addition, the sensitivity analysis shows that the HES with dual-axis solar PV tracking system provides lower electricity costs (250 $/MWh) and the highest GHG emission reduction (69.6%, which is equivalent to the GHG emission reduction of a diesel engine consuming 682,279 gallons of diesel fuel).

ACS Style

Tareq Salameh; Chaouki Ghenai; Adel Merabet; Malek Alkasrawi. Techno-economical optimization of an integrated stand-alone hybrid solar PV tracking and diesel generator power system in Khorfakkan, United Arab Emirates. Energy 2019, 190, 116475 .

AMA Style

Tareq Salameh, Chaouki Ghenai, Adel Merabet, Malek Alkasrawi. Techno-economical optimization of an integrated stand-alone hybrid solar PV tracking and diesel generator power system in Khorfakkan, United Arab Emirates. Energy. 2019; 190 ():116475.

Chicago/Turabian Style

Tareq Salameh; Chaouki Ghenai; Adel Merabet; Malek Alkasrawi. 2019. "Techno-economical optimization of an integrated stand-alone hybrid solar PV tracking and diesel generator power system in Khorfakkan, United Arab Emirates." Energy 190, no. : 116475.

Journal article
Published: 01 November 2019 in Energy
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ACS Style

Aghiles Ardjal; Adel Merabet; Maamar Bettayeb; Rachid Mansouri; Labib Labib. Design and implementation of a fractional nonlinear synergetic controller for generator and grid converters of wind energy conversion system. Energy 2019, 186, 1 .

AMA Style

Aghiles Ardjal, Adel Merabet, Maamar Bettayeb, Rachid Mansouri, Labib Labib. Design and implementation of a fractional nonlinear synergetic controller for generator and grid converters of wind energy conversion system. Energy. 2019; 186 ():1.

Chicago/Turabian Style

Aghiles Ardjal; Adel Merabet; Maamar Bettayeb; Rachid Mansouri; Labib Labib. 2019. "Design and implementation of a fractional nonlinear synergetic controller for generator and grid converters of wind energy conversion system." Energy 186, no. : 1.

Conference paper
Published: 01 October 2019 in IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society
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This paper presents a fixed frequency model predictive control (FFMPC) of a three-level bi-directional flying capacitor DC-DC converter for energy management application in a DC microgrid. The presence of three voltage levels give the converter advantage of having reduced voltage stress on the power switches and low ripple in its inductor current. Additionally, the capability of having bi-directional power flow enables the converter to integrate energy storage devices such as the battery to a DC microgrid effectively. An FFMPC algorithm is formulated using the developed mathematical model in order to yield the dual objective of bi-directional power flow and flying capacitor voltage balancing. In this paper the performance of the FFMPC algorithm is compared with the conventional finite control set model predictive control (FCS-MPC) algorithm in terms of dynamic response and inductor current ripple. A significant reduction in current ripple was observed using the proposed algorithm. Furthermore, a DC microgrid comprising photo-voltaic (PV) system, load, and battery are considered to assess the effectiveness of the designed FFMPC algorithm under varying load and PV power injections.

ACS Style

Vijesh Jayan; Amer Ghias; Adel Merabet. Fixed Frequency Model Predictive Control of Three-level Bi-directional Flying Capacitor DC-DC converter in DC microgrid. IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society 2019, 1, 3343 -3348.

AMA Style

Vijesh Jayan, Amer Ghias, Adel Merabet. Fixed Frequency Model Predictive Control of Three-level Bi-directional Flying Capacitor DC-DC converter in DC microgrid. IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society. 2019; 1 ():3343-3348.

Chicago/Turabian Style

Vijesh Jayan; Amer Ghias; Adel Merabet. 2019. "Fixed Frequency Model Predictive Control of Three-level Bi-directional Flying Capacitor DC-DC converter in DC microgrid." IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society 1, no. : 3343-3348.

Conference paper
Published: 01 September 2019 in 2019 IEEE Industry Applications Society Annual Meeting
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This paper discusses the problem of predicting wind speed using the statistical model based on autoregressive integrated moving average (ARIMA). Historical wind speed data, representing the Chester region of Nova Scotia, Canada, from 2012 to 2017, was used to operate this model. The form structure is defined by the rows p, d, q, and the length of the data period retrospectively. The structure parameters, autoregressive and moving average, were determined by the partial auto-correlation function and auto-correlation function, respectively. The model forecasting accuracy is based on the root mean square error, the mean absolute percentage error and the mean absolute error.

ACS Style

Meftah Elsaraiti; Adel Merabet; Ahmed Al-Durra. Time Series Analysis and Forecasting of Wind Speed Data. 2019 IEEE Industry Applications Society Annual Meeting 2019, 1 -5.

AMA Style

Meftah Elsaraiti, Adel Merabet, Ahmed Al-Durra. Time Series Analysis and Forecasting of Wind Speed Data. 2019 IEEE Industry Applications Society Annual Meeting. 2019; ():1-5.

Chicago/Turabian Style

Meftah Elsaraiti; Adel Merabet; Ahmed Al-Durra. 2019. "Time Series Analysis and Forecasting of Wind Speed Data." 2019 IEEE Industry Applications Society Annual Meeting , no. : 1-5.

Proceedings article
Published: 01 June 2019 in 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE)
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This paper presents a rule-based master/slave communication-based power management System (PMS) for a real-world grid-interactive AC-bus hybrid microgrid (MG) that incorporates photovoltaic and energy storage systems. The microgrid includes seven PV inverters, one battery inverter and AC load. The proposed power management system aims at minimizing the electricity costs for the customer as well as providing the load with a stable voltage, frequency and power supply in grid-connected and islanded conditions. Typhoon HIL Control Center has been employed for the implementation of the microgrid, SCADA interface and the power management system. The proposed power management system has been developed in Python, inside the SCADA environment and the microgrid has been simulated using the virtual HIL device.

ACS Style

Hooman Ekhteraei Toosi; Adel Merabet; Amer M.Y.M Ghias; Andrew Swingler. Central Power Management System for Hybrid PV/Battery AC-Bus Microgrid Using Typhoon HIL. 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE) 2019, 1053 -1058.

AMA Style

Hooman Ekhteraei Toosi, Adel Merabet, Amer M.Y.M Ghias, Andrew Swingler. Central Power Management System for Hybrid PV/Battery AC-Bus Microgrid Using Typhoon HIL. 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE). 2019; ():1053-1058.

Chicago/Turabian Style

Hooman Ekhteraei Toosi; Adel Merabet; Amer M.Y.M Ghias; Andrew Swingler. 2019. "Central Power Management System for Hybrid PV/Battery AC-Bus Microgrid Using Typhoon HIL." 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE) , no. : 1053-1058.

Proceedings article
Published: 01 June 2019 in 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE)
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This paper presents a control architecture for a photovoltaic AC-bus microgrid with a battery storage system. In this microgrid configuration, the 2500 MVA grid is connected to the 250V AC-bus, with a PV and battery storage system. The PV power is controlled by using maximum power point tracking technique with the help of boost converter. Separate local control units are designed using voltage source converters for both PV array and battery storage. The simulation required a set of power electronic elements and electrical transformers to match the microgrid structure. The control signals are generated using proportional integral controllers. The AC-bus microgrid is designed and verified in MATLAB/Simulink environment for grid-tied and islanded mode operations. An energy management system has been developed to adjust the power sharing among the sources. The voltage and real powers in different areas, solar, grid, load and battery storage, are controlled and observed. The simulation results validate the accuracy of the controllers and the energy management system.

ACS Style

Rupak Kanti Dhar; Adel Merabet; Amer M. Y. M. Ghias; Zheng Qin. Control Architecture of Solar Photovoltaic AC-Bus Microgrid with Battery Storage System. 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE) 2019, 1072 -1077.

AMA Style

Rupak Kanti Dhar, Adel Merabet, Amer M. Y. M. Ghias, Zheng Qin. Control Architecture of Solar Photovoltaic AC-Bus Microgrid with Battery Storage System. 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE). 2019; ():1072-1077.

Chicago/Turabian Style

Rupak Kanti Dhar; Adel Merabet; Amer M. Y. M. Ghias; Zheng Qin. 2019. "Control Architecture of Solar Photovoltaic AC-Bus Microgrid with Battery Storage System." 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE) , no. : 1072-1077.