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Dr. Mouloud Denai
University of Hertfordshire

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0 Control Engineering
0 Energy Management
0 Power Electronics
0 Smart Grid
0 Renewable and Sustainable Energy

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Short review
Published: 01 July 2021 in Energy Research & Social Science
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The world is facing substantial challenges related to population growth and the derived pressure on environment, energy, and other natural resources. Cities contribute to these problems due to the ever-increasing urbanization. As a solution, smart cities are managed and optimized across traditional boundaries and through the exchange of information between physical objects, citizens, and stakeholders. However, there are barriers in the development of smart cities that should be overcome in order to meet these challenges through smart cities. The main barriers identified in this work are poor private-public participation, utilization of fossil fuels, lack of attention to the environment, insufficient internet technology (IT) infrastructure, and old technology throughout the cities. To overcome these barriers, policies must be implemented to improve private-public participation by encouraging public investments and a wider adoption of electrical vehicles that may act as storage device and provide ancillary services to the electricity grid; reduce the use of private cars; strengthen IT infrastructure, deployment of smart technology to allow residents to monitor and control their energy consumption, installation of roof-top solar panels, and better mobility and efficient public services supported by smart technologies such as IoT (Internet of Things) and information and communication technology (ICT) to enhance the interconnection among smart city systems.

ACS Style

Armin Razmjoo; Poul Alberg Østergaard; Mouloud Denaï; Meysam Majidi Nezhad; SeyedAli Mirjalili. Effective policies to overcome barriers in the development of smart cities. Energy Research & Social Science 2021, 79, 102175 .

AMA Style

Armin Razmjoo, Poul Alberg Østergaard, Mouloud Denaï, Meysam Majidi Nezhad, SeyedAli Mirjalili. Effective policies to overcome barriers in the development of smart cities. Energy Research & Social Science. 2021; 79 ():102175.

Chicago/Turabian Style

Armin Razmjoo; Poul Alberg Østergaard; Mouloud Denaï; Meysam Majidi Nezhad; SeyedAli Mirjalili. 2021. "Effective policies to overcome barriers in the development of smart cities." Energy Research & Social Science 79, no. : 102175.

Original research paper
Published: 11 June 2021 in IET Electrical Systems in Transportation
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Most utilities across the world already have demand response (DR) programs in place to incentivise consumers to reduce or shift their electricity consumption from peak periods to off-peak hours usually in response to financial incentives. With the increasing electrification of vehicles, emerging technologies such as vehicle-to-grid (V2G) and vehicle-to-home (V2H) have the potential to offer a broad range of benefits and services to achieve more effective management of electricity demand. In this way, electric vehicles (EV) become distributed energy storage resources and can conceivably, in conjunction with other electricity storage solutions, contribute to DR and provide additional capacity to the grid when needed. Here, an effective DR approach for V2G and V2H energy management using Reinforcement Learning (RL) is proposed. Q-learning, an RL strategy based on a reward mechanism, is used to make optimal decisions to charge or delay the charging of the EV battery pack and/or dispatch the stored electricity back to the grid without compromising the driving needs. Simulations are presented to demonstrate how the proposed DR strategy can effectively manage the charging/discharging schedule of the EV battery and how V2H and V2G can contribute to smooth the household load profile, minimise electricity bills and maximise revenue.

ACS Style

Fayiz Alfaverh; Mouloud Denaï; Yichuang Sun. Electrical vehicle grid integration for demand response in distribution networks using reinforcement learning. IET Electrical Systems in Transportation 2021, 1 .

AMA Style

Fayiz Alfaverh, Mouloud Denaï, Yichuang Sun. Electrical vehicle grid integration for demand response in distribution networks using reinforcement learning. IET Electrical Systems in Transportation. 2021; ():1.

Chicago/Turabian Style

Fayiz Alfaverh; Mouloud Denaï; Yichuang Sun. 2021. "Electrical vehicle grid integration for demand response in distribution networks using reinforcement learning." IET Electrical Systems in Transportation , no. : 1.

Review article
Published: 03 September 2020 in Journal of Energy Storage
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Energy storage and demand response are becoming an increasingly valuable solution for the enhancement of stability and reliability of the electricity grid with high penetration of distributed energy sources such as wind and solar. This paper proposes an intelligent energy management scheme to allow different distributed generation sources and energy storage technologies to actively participate in demand response via the deployed smart meter infrastructure. A Distributed Superconducting Magnetic Energy Storage (D-SMES) device is integrated into the network to deliver instantaneous and large bursts of power to support the grid under short-term disturbances. The proposed demand response-based energy management algorithm receives, via the smart meter infrastructure, the information from the electricity network such as the energy cost, upper load adjustment limit, and the State-of-Charge (SOC) of the storage system then, under very specific conditions, a decision is formulated as a control signal for charging or discharging the storage system, aiming at minimizing the total energy while avoiding any load shedding. The effectiveness of the proposed demand response approach for controlling generation, storage and demand coordination and energy cost reduction is demonstrated on a sample power system simulated in MATLAB/SimPowerSystems toolbox and evaluated under different case study scenarios.

ACS Style

I. Kouache; M. Sebaa; M. Bey; T. Allaoui; M. Denai. A new approach to demand response in a microgrid based on coordination control between smart meter and distributed superconducting magnetic energy storage unit. Journal of Energy Storage 2020, 32, 101748 .

AMA Style

I. Kouache, M. Sebaa, M. Bey, T. Allaoui, M. Denai. A new approach to demand response in a microgrid based on coordination control between smart meter and distributed superconducting magnetic energy storage unit. Journal of Energy Storage. 2020; 32 ():101748.

Chicago/Turabian Style

I. Kouache; M. Sebaa; M. Bey; T. Allaoui; M. Denai. 2020. "A new approach to demand response in a microgrid based on coordination control between smart meter and distributed superconducting magnetic energy storage unit." Journal of Energy Storage 32, no. : 101748.

Journal article
Published: 01 September 2020 in International Journal of Power Electronics and Drive Systems (IJPEDS)
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In this paper, we have presented a simulation study to analyze the power quality of three phases medium voltage grid connected with distribution generation (DG) such as photovoltaic (PV) farms and its control schemes. The system uses two-stage energy conversion topology composed of a DC to DC boost converter for the extraction of maximum power available from the solar PV system based on incremental inductance technique and a three-level voltage source inverter (VSI) to connect PV farm to the power grid. To maintain the grid voltage and frequency within tolerance following disturbances such as voltage swells and sags, a fuzzy logic-based Dynamic Voltage Restorer is proposed. The role of the DVR is to protect critical loads from disturbances coming from the network. Different fault conditions scenarios are tested and the results such as voltage stability, real and reactive powers, current and power factor at the point of common coupling (PCC) are compared with and without the DVR system.

ACS Style

Abdelkrim Benali; Mounir Khiat; Mouloud Denai. Voltage profile and power quality improvement in photovoltaic farms integrated medium voltage grid using dynamic voltage restorer. International Journal of Power Electronics and Drive Systems (IJPEDS) 2020, 11, 1481 -1490.

AMA Style

Abdelkrim Benali, Mounir Khiat, Mouloud Denai. Voltage profile and power quality improvement in photovoltaic farms integrated medium voltage grid using dynamic voltage restorer. International Journal of Power Electronics and Drive Systems (IJPEDS). 2020; 11 (3):1481-1490.

Chicago/Turabian Style

Abdelkrim Benali; Mounir Khiat; Mouloud Denai. 2020. "Voltage profile and power quality improvement in photovoltaic farms integrated medium voltage grid using dynamic voltage restorer." International Journal of Power Electronics and Drive Systems (IJPEDS) 11, no. 3: 1481-1490.

Editorial
Published: 01 July 2020 in Computers & Electrical Engineering
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ACS Style

Mustapha Hatti; Mouloud Denai. Introduction to the special section on artificial intelligence in renewable energy (SI-aires). Computers & Electrical Engineering 2020, 85, 106815 .

AMA Style

Mustapha Hatti, Mouloud Denai. Introduction to the special section on artificial intelligence in renewable energy (SI-aires). Computers & Electrical Engineering. 2020; 85 ():106815.

Chicago/Turabian Style

Mustapha Hatti; Mouloud Denai. 2020. "Introduction to the special section on artificial intelligence in renewable energy (SI-aires)." Computers & Electrical Engineering 85, no. : 106815.

Research article
Published: 03 April 2020 in International Transactions on Electrical Energy Systems
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This article proposes hierarchical power management and energy control aimed at improving the reliability and efficiency of electric power generation from a wind farm connected to the grid. The wind farm consists of three wind energy conversion systems (WECS) each consisting of a wind turbine, a double‐feed induction generator and five‐level power converters. The first control layer includes a maximum power point tracking algorithm to extract the maximum power from the wind energy source based on an optimal torque control strategy. The real and reactive power flow from the WECS to the grid is controlled with a non‐linear backstepping controller based on the Lyapunov stability theory. Finally, a DC bus voltage controller with a clamping bridge is employed to ensure the stability of the DC bus voltage and to compensate for transient disturbances caused by load fluctuations. The second layer of control ensures coordination between the wind farm, the power grid and the load to ensure reliable and efficient power supply. The model of the grid‐connected wind farm and the proposed control scheme are developed using MATLAB and Sim Power Systems Toolbox. A series of simulation scenarios are presented to evaluate the performance of the proposed control scheme under various operating conditions.

ACS Style

Belkacem Belabbas; Mouloud Denai; Tayeb Allaoui. Hierarchical energy management and control to improve the reliability and efficiency of wind farms connected to the grid. International Transactions on Electrical Energy Systems 2020, 30, 1 .

AMA Style

Belkacem Belabbas, Mouloud Denai, Tayeb Allaoui. Hierarchical energy management and control to improve the reliability and efficiency of wind farms connected to the grid. International Transactions on Electrical Energy Systems. 2020; 30 (7):1.

Chicago/Turabian Style

Belkacem Belabbas; Mouloud Denai; Tayeb Allaoui. 2020. "Hierarchical energy management and control to improve the reliability and efficiency of wind farms connected to the grid." International Transactions on Electrical Energy Systems 30, no. 7: 1.

Journal article
Published: 01 April 2020 in Indonesian Journal of Electrical Engineering and Computer Science
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FACTS (Flexible AC Transmission Systems) technology has now been accepted as a potential solution to the stability problem and load flow. The Unified Power Flow Controller (UPFC) is considered to be the most powerful and versatile among all FACTS devices. This paper presents the control of a UPFC system using Hinf robust control technique. A simulation study using Matlab/Simulink is presented to the performance of this control strategy and the robustness with respect to variations of the system parameters such as the inductance of the transmission line.

ACS Style

Maamar Benyamina; Mohamed Bouhamida; Tayeb Allaoui; Rachid Taleb; Mouloud Denai. Robust control of a UPFC system with H~ control technique. Indonesian Journal of Electrical Engineering and Computer Science 2020, 18, 533 -543.

AMA Style

Maamar Benyamina, Mohamed Bouhamida, Tayeb Allaoui, Rachid Taleb, Mouloud Denai. Robust control of a UPFC system with H~ control technique. Indonesian Journal of Electrical Engineering and Computer Science. 2020; 18 (1):533-543.

Chicago/Turabian Style

Maamar Benyamina; Mohamed Bouhamida; Tayeb Allaoui; Rachid Taleb; Mouloud Denai. 2020. "Robust control of a UPFC system with H~ control technique." Indonesian Journal of Electrical Engineering and Computer Science 18, no. 1: 533-543.

Journal article
Published: 29 February 2020 in International Review of Electrical Engineering (IREE)
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Stator inter-turn short-circuit and Eccentricity faults are among the most common types of faults encountered in permanent magnet synchronous motors. This paper proposes a new method for the diagnosis of these types of faults based on the motor current signature analysis. A mathematical model based on the modified winding function approach has been developed to model the healthy PMSM, considering the effect of the magnetic saturation phenomenon and in the presence of inter-turns short-circuits and eccentricity faults. In order to highlight the interest of the model employed and the efficiency of the spectral analysis technique of the stator current, a series of simulations are performed in the different operation modes (Healthy and faulty operation modes). Copyright © 2020 Praise Worthy Prize - All rights reserved.

ACS Style

Zakaria Gherabi; Djilali Toumi; Noureddine Benouzza; Mouloud Denai. Stator Inter-Turn Short-Circuit and Eccentricity Faults Detection in Permanents Magnets Synchronous Motors Using Line Current Spectrum Analysis. International Review of Electrical Engineering (IREE) 2020, 15, 54 .

AMA Style

Zakaria Gherabi, Djilali Toumi, Noureddine Benouzza, Mouloud Denai. Stator Inter-Turn Short-Circuit and Eccentricity Faults Detection in Permanents Magnets Synchronous Motors Using Line Current Spectrum Analysis. International Review of Electrical Engineering (IREE). 2020; 15 (1):54.

Chicago/Turabian Style

Zakaria Gherabi; Djilali Toumi; Noureddine Benouzza; Mouloud Denai. 2020. "Stator Inter-Turn Short-Circuit and Eccentricity Faults Detection in Permanents Magnets Synchronous Motors Using Line Current Spectrum Analysis." International Review of Electrical Engineering (IREE) 15, no. 1: 54.

Journal article
Published: 17 February 2020 in IEEE Access
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As energy demand continues to increase, demand response (DR) programs in the electricity distribution grid are gaining momentum and their adoption is set to grow gradually over the years ahead. Demand response schemes seek to incentivise consumers to use green energy and reduce their electricity usage during peak periods which helps support grid balancing of supply-demand and generate revenue by selling surplus of energy back to the grid. This paper proposes an effective energy management system for residential demand response using Reinforcement Learning (RL) and Fuzzy Reasoning (FR). RL is considered as a model-free control strategy which learns from the interaction with its environment by performing actions and evaluating the results. The proposed algorithm considers human preference by directly integrating user feedback into its control logic using fuzzy reasoning as reward functions. Q-learning, a RL strategy based on a reward mechanism, is used to make optimal decisions to schedule the operation of smart home appliances by shifting controllable appliances from peak periods, when electricity prices are high, to off-peak hours, when electricity prices are lower without affecting the customer’s preferences. The proposed approach works with a single agent to control 14 household appliances and uses a reduced number of state-action pairs and fuzzy logic for rewards functions to evaluate an action taken for a certain state. The simulation results show that the proposed appliances scheduling approach can smooth the power consumption profile and minimise the electricity cost while considering user’s preferences, user’s feedbacks on each action taken and his/her preference settings. A user-interface is developed in MATLAB/Simulink for the Home Energy Management System (HEMS) to demonstrate the proposed DR scheme. The simulation tool includes features such as smart appliances, electricity pricing signals, smart meters, solar photovoltaic generation, battery energy storage, electric vehicle and grid supply.

ACS Style

Fayiz Alfaverh; M. Denai; Yichuang Sun. Demand Response Strategy Based on Reinforcement Learning and Fuzzy Reasoning for Home Energy Management. IEEE Access 2020, 8, 39310 -39321.

AMA Style

Fayiz Alfaverh, M. Denai, Yichuang Sun. Demand Response Strategy Based on Reinforcement Learning and Fuzzy Reasoning for Home Energy Management. IEEE Access. 2020; 8 (99):39310-39321.

Chicago/Turabian Style

Fayiz Alfaverh; M. Denai; Yichuang Sun. 2020. "Demand Response Strategy Based on Reinforcement Learning and Fuzzy Reasoning for Home Energy Management." IEEE Access 8, no. 99: 39310-39321.

Journal article
Published: 01 January 2020 in International Journal of Intelligent Systems Technologies and Applications
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ACS Style

Tayeb Allaoui; Mouloud Denai; Hadjira Bouazza; Mohamed Lokmane Bendaas. Application of artificial intelligence to wind power generation: modelling, control and fault detection. International Journal of Intelligent Systems Technologies and Applications 2020, 19, 280 .

AMA Style

Tayeb Allaoui, Mouloud Denai, Hadjira Bouazza, Mohamed Lokmane Bendaas. Application of artificial intelligence to wind power generation: modelling, control and fault detection. International Journal of Intelligent Systems Technologies and Applications. 2020; 19 (3):280.

Chicago/Turabian Style

Tayeb Allaoui; Mouloud Denai; Hadjira Bouazza; Mohamed Lokmane Bendaas. 2020. "Application of artificial intelligence to wind power generation: modelling, control and fault detection." International Journal of Intelligent Systems Technologies and Applications 19, no. 3: 280.

Original article
Published: 25 October 2019 in International Journal of System Assurance Engineering and Management
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This paper presents the application nonlinear control to regulate the rotor currents and control the active and reactive powers generated by the Doubly Fed Induction Generator used in the Wind Energy Conversion System (WECS). The proposed control strategies are based on Lyapunov stability theory and include back-stepping control (BSC) and super-twisting sliding mode control. The overall WECS model and control scheme are developed in MATLAB/Simulink and the simulation results have shown that the BSC leads to superior performance and improved transient response as compared to the STSMC controller.

ACS Style

Belkacem Belabbas; Tayeb Allaoui; Mohamed Tadjine; Mouloud Denai. Comparative study of back-stepping controller and super twisting sliding mode controller for indirect power control of wind generator. International Journal of System Assurance Engineering and Management 2019, 10, 1555 -1566.

AMA Style

Belkacem Belabbas, Tayeb Allaoui, Mohamed Tadjine, Mouloud Denai. Comparative study of back-stepping controller and super twisting sliding mode controller for indirect power control of wind generator. International Journal of System Assurance Engineering and Management. 2019; 10 (6):1555-1566.

Chicago/Turabian Style

Belkacem Belabbas; Tayeb Allaoui; Mohamed Tadjine; Mouloud Denai. 2019. "Comparative study of back-stepping controller and super twisting sliding mode controller for indirect power control of wind generator." International Journal of System Assurance Engineering and Management 10, no. 6: 1555-1566.

Research article
Published: 07 October 2019 in IET Control Theory & Applications
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This study proposes a new non-linear positive model with distributed time-delay describing the dynamics of leukaemic cells lineages and their levels of maturity. The dynamic model is first reformulated into coupled non-linear equations with distributed time-delay using an appropriate transformation of the age-structured transport partial differential equations that govern the dynamics of leukaemic cell populations. After assessing the positiveness of the proposed model, the conditions for the existence of positive steady-states are established. Furthermore, the necessary and sufficient conditions for boundedness of the solutions are derived. Finally, the convergence of the proposed model to the origin is studied as this has an important biological interpretation which is the extinction of all generations of leukaemic cells following anti-leukaemia treatments. To investigate the global asymptotic stability of this important equilibrium point, both model properties (i.e. positiveness and boundedness) are used to construct a suitable Lyapunov function for the characterisation of leukaemic cells dynamics. The results demonstrate a significant improvement for the treatment of leukaemia. Some simulations are presented to illustrate the effectiveness of the proposed model.

ACS Style

Abdelhafid Zenati; Massaoud Chakir; Mohamed Tadjine; Mouloud Denai. Analysis of leukaemic cells dynamics with multi‐stage maturation process using a new non‐linear positive model with distributed time‐delay. IET Control Theory & Applications 2019, 13, 3052 -3064.

AMA Style

Abdelhafid Zenati, Massaoud Chakir, Mohamed Tadjine, Mouloud Denai. Analysis of leukaemic cells dynamics with multi‐stage maturation process using a new non‐linear positive model with distributed time‐delay. IET Control Theory & Applications. 2019; 13 (18):3052-3064.

Chicago/Turabian Style

Abdelhafid Zenati; Massaoud Chakir; Mohamed Tadjine; Mouloud Denai. 2019. "Analysis of leukaemic cells dynamics with multi‐stage maturation process using a new non‐linear positive model with distributed time‐delay." IET Control Theory & Applications 13, no. 18: 3052-3064.

Journal article
Published: 30 June 2019 in European Journal of Electrical Engineering
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ACS Style

Abderrahmane Berkani; Karim Negadi; Tayeb Allaoui; Abdelkader Mezouar; Mouloud Denai. Imposed Switching Frequency Direct Torque Control of Induction Machine Using Five Level Flying Capacitors Inverter. European Journal of Electrical Engineering 2019, 21, 241 -248.

AMA Style

Abderrahmane Berkani, Karim Negadi, Tayeb Allaoui, Abdelkader Mezouar, Mouloud Denai. Imposed Switching Frequency Direct Torque Control of Induction Machine Using Five Level Flying Capacitors Inverter. European Journal of Electrical Engineering. 2019; 21 (2):241-248.

Chicago/Turabian Style

Abderrahmane Berkani; Karim Negadi; Tayeb Allaoui; Abdelkader Mezouar; Mouloud Denai. 2019. "Imposed Switching Frequency Direct Torque Control of Induction Machine Using Five Level Flying Capacitors Inverter." European Journal of Electrical Engineering 21, no. 2: 241-248.

Journal article
Published: 09 April 2019 in IEEE Access
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Electric vehicles (EV) have gained global attention due to increasing oil prices and rising concerns about transportation-related urban air pollution and climate change. While mass adoption of EVs has several economic and environmental benefits, large-scale deployment of EVs on the low-voltage (LV) urban distribution networks will also result in technical challenges. This paper proposes a simple and easy to implement single-phase EV charging coordination strategy with three-phase network supply, in which chargers connect EVs to the less loaded phase of their feeder at the beginning of the charging process. Hence, network unbalance is mitigated and, as a result, EV hosting capacity is increased. A new concept, called Maximum EV Hosting Capacity (HC $_{max}$ ) of low voltage distribution networks, is introduced to objectively assess and quantify the enhancement that the proposed phase-shifting strategy could bring to distribution networks. The resulting performance improvement has been demonstrated over three real UK residential networks through a comprehensive Monte Carlo simulation study using Matlab and OpenDSS tools. With the same EV penetration level, the under-voltage probability was reduced in the first network from 100% to 54% and in the second network from 100% to 48%. Furthermore, percentage voltage unbalance factors in the networks were successfully restored to their original values before any EV connection.

ACS Style

E. Vega-Fuentes; M. Denai. Enhanced Electric Vehicle Integration in the UK Low-Voltage Networks With Distributed Phase Shifting Control. IEEE Access 2019, 7, 46796 -46807.

AMA Style

E. Vega-Fuentes, M. Denai. Enhanced Electric Vehicle Integration in the UK Low-Voltage Networks With Distributed Phase Shifting Control. IEEE Access. 2019; 7 ():46796-46807.

Chicago/Turabian Style

E. Vega-Fuentes; M. Denai. 2019. "Enhanced Electric Vehicle Integration in the UK Low-Voltage Networks With Distributed Phase Shifting Control." IEEE Access 7, no. : 46796-46807.

Research article
Published: 06 March 2019 in Wind Energy
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This paper presents a new robust and effective control strategy to mitigate symmetrical voltage dips in a grid‐connected doubly fed induction generator (DFIG) wind energy conversion system without any additional hardware in the system. The aim is to control the power transmitted to the grid so as to keep the electrical and mechanical quantities above their threshold protection values during a voltage dip transient. To achieve this, the references of the powers are readjusted to adapt the wind energy conversion system to the fault conditions. Robust control strategies, combining the merits of sliding mode theory and fuzzy logic, are then proposed in this paper. These controllers are derived from the dynamic model of the DFIG considering the variations in the stator flux generated by the voltage drop. This approach is found to yield better performance than other control design methods which assume the flux in the stator to remain constant in amplitude. This control scheme is compliant with the fault‐ride‐through grid codes which require the wind turbine generator to remain connected during voltage dips. A series of simulation scenarios are carried out on a 3‐MW wind turbine system to demonstrate the effectiveness of the proposed control schemes under voltage dips and parameter uncertainty conditions.

ACS Style

Sid Ahmed El Mehdi Ardjoun; Mouloud Denai; Mohamed Abid. A robust power control strategy to enhance LVRT capability of grid‐connected DFIG‐based wind energy systems. Wind Energy 2019, 22, 834 -847.

AMA Style

Sid Ahmed El Mehdi Ardjoun, Mouloud Denai, Mohamed Abid. A robust power control strategy to enhance LVRT capability of grid‐connected DFIG‐based wind energy systems. Wind Energy. 2019; 22 (6):834-847.

Chicago/Turabian Style

Sid Ahmed El Mehdi Ardjoun; Mouloud Denai; Mohamed Abid. 2019. "A robust power control strategy to enhance LVRT capability of grid‐connected DFIG‐based wind energy systems." Wind Energy 22, no. 6: 834-847.

Journal article
Published: 31 January 2019 in Energy Strategy Reviews
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Securing energy supply and speeding up the transition towards a reliable, sustainable, low-carbon energy system are among the major current and future challenges facing Europe. Importing dispatchable solar electricity from North Africa is considered as a potential and attractive option. Nevertheless, as things currently stand, the European Commission focuses mainly on the exploitation of the existing wind power potential in the North Sea, largely ignoring the solar power potential in the Sahara region of North Africa. After discussing the major challenges and issues facing Europe to achieve the assigned ambitious objectives, the paper emphasises the importance of North Africa's solar resources in helping Europe to successfully address the challenge of decarbonising its electricity system, in particular with regards to the security of supply and sustainability. Within these two major challenges, the paper explores the issues of access, barriers and opportunities. The paper highlights why the EU's energy and climate goals will not be achievable without adequate grid expansion and grid-scale energy storage facilities, as well as other innovative measures to manage demand and ensure a secure energy supply. In this respect, the paper shows how the import of dispatchable electricity from North Africa via specific HVDC links could play a key role in helping the EU achieve its energy targets in a cost-effective way without recourse to significant investments in transmission infrastructure and storage facilities. The paper then attempts to identify and analyze the main barriers that continue to inhibit the export of solar electricity from North Africa to Europe. Finally, to make the project more attractive and achievable in the near future, the paper proposes a systematic approach for setting up energy import scenarios. A promising import scenario is presented where energy import via Italy is shown to be a more viable and effective solution than via Spain.

ACS Style

Mokhtar Benasla; Denis Hess; Tayeb Allaoui; Mostefa Brahami; Mouloud Denaï. The transition towards a sustainable energy system in Europe: What role can North Africa's solar resources play? Energy Strategy Reviews 2019, 24, 1 -13.

AMA Style

Mokhtar Benasla, Denis Hess, Tayeb Allaoui, Mostefa Brahami, Mouloud Denaï. The transition towards a sustainable energy system in Europe: What role can North Africa's solar resources play? Energy Strategy Reviews. 2019; 24 ():1-13.

Chicago/Turabian Style

Mokhtar Benasla; Denis Hess; Tayeb Allaoui; Mostefa Brahami; Mouloud Denaï. 2019. "The transition towards a sustainable energy system in Europe: What role can North Africa's solar resources play?" Energy Strategy Reviews 24, no. : 1-13.

Journal article
Published: 10 January 2019 in Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering)
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Background: In recent years, demand for electricity has increased considerably, while the expansion of generation and transmission has been very slow due to limited investment in resources and environmental restrictions. Methods: As a result, the power system becomes vulnerable to disturbances and instability. FACTS (Flexible AC Transmission Systems) technology has now been accepted as a potential solution to this problem. This paper deals with the modelling, simulation and fuzzy self-tuning control of a DSTATCOM to enhance the stability and improve the critical fault clearing time (CCT) in a single machine infinite bus (SMIB). A detailed modelling of the D-STATCOM and comprehensive derivation of the fuzzy logic self-tuning control is presented. Results: The dynamic performance of the power system with the proposed control scheme is validated through in a simulation study carried out under Matlab/Simulink and SimPowerSystems toolbox. Conclusion: The results demonstrate a significant enhancement of the power system stability under the simulated fault conditions considered.

ACS Style

Chaib Habib; Allaoui Tayeb; Brahami Mustapha; Mouloud Denai. Modelling, Simulation and Fuzzy Self-Tuning Control of D-STATCOM in a Single Machine Infinite Bus Power System. Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering) 2019, 12, 5 -11.

AMA Style

Chaib Habib, Allaoui Tayeb, Brahami Mustapha, Mouloud Denai. Modelling, Simulation and Fuzzy Self-Tuning Control of D-STATCOM in a Single Machine Infinite Bus Power System. Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering). 2019; 12 (1):5-11.

Chicago/Turabian Style

Chaib Habib; Allaoui Tayeb; Brahami Mustapha; Mouloud Denai. 2019. "Modelling, Simulation and Fuzzy Self-Tuning Control of D-STATCOM in a Single Machine Infinite Bus Power System." Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering) 12, no. 1: 5-11.

Journal article
Published: 10 January 2019 in Journal of Renewable and Sustainable Energy
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In recent years, the wind power industry is experiencing a rapid growth and more wind farms with larger size wind turbines are being connected to the power system. While this contributes to the overall security of electricity supply, large-scale deployment of wind energy into the grid also presents many technical challenges. Most of these challenges are one way or another, related to the variability and intermittent nature of wind and affect the power quality of the distribution grid. Power quality relates to factors that cause variations in the voltage level and frequency as well as distortion in the voltage and current waveforms due to wind variability which produces both harmonics and inter-harmonics. The main motivation behind work is to propose a new topology of the static AC/DC/AC multicell converter to improve the power quality in grid-connected wind energy conversion systems. Serial switching cells have the ability to achieve a high power with lower-size components and improve the voltage waveforms at the input and output of the converter by increasing the number of cells. Furthermore, a battery energy storage system is included and a power management strategy is designed to ensure the continuity of power supply and consequently the autonomy of the proposed system. The simulation results are presented for a 149.2 kW wind turbine induction generator system and the results obtained demonstrate the reduced harmonics, improved transient response, and reference tracking of the voltage output of the wind energy conversion system.

ACS Style

H. Merabet Boulouiha; M. Khodja; D. Rahiel; A. Allali; F. Kaddour; M. Denaï. Power quality enhancement in electricity grids with wind energy using multicell converters and energy storage. Journal of Renewable and Sustainable Energy 2019, 11, 013302 .

AMA Style

H. Merabet Boulouiha, M. Khodja, D. Rahiel, A. Allali, F. Kaddour, M. Denaï. Power quality enhancement in electricity grids with wind energy using multicell converters and energy storage. Journal of Renewable and Sustainable Energy. 2019; 11 (1):013302.

Chicago/Turabian Style

H. Merabet Boulouiha; M. Khodja; D. Rahiel; A. Allali; F. Kaddour; M. Denaï. 2019. "Power quality enhancement in electricity grids with wind energy using multicell converters and energy storage." Journal of Renewable and Sustainable Energy 11, no. 1: 013302.

Journal article
Published: 19 December 2018 in Electric Power Systems Research
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In recent years, guaranteeing that large-scale interconnected systems operate safely, stably and economically has become a major and emergency issue. A number of high profile blackouts caused by cascading outages have focused attention on this issue. Embedded HVDC (High Voltage Direct Current) links within a larger AC power system are known to act as a “firewall” against cascading disturbances and therefore, can effectively contribute in preventing blackouts. A good example is the 2003 blackout in USA and Canada, where the Québec grid was not affected due to its HVDC interconnection. In the literature, many works have studied the impact of HVDC on the power system stability, but very few examples exist in the area of its impact on the system security. This paper presents a control strategy for HVDC systems to increase their contribution to system security. A real-time closed-loop control scheme is used to modulate the DC power of HVDC links to alleviate AC system overloads and improve system security. Simulations carried out on a simplified model of the Hydro-Québec network show that the proposed method works well and can greatly improve system security during emergency situations.

ACS Style

Mokhtar Benasla; Tayeb Allaoui; Mostefa Brahami; Vijay K. Sood; Mouloud Denaï. Power system security enhancement by HVDC links using a closed-loop emergency control. Electric Power Systems Research 2018, 168, 228 -238.

AMA Style

Mokhtar Benasla, Tayeb Allaoui, Mostefa Brahami, Vijay K. Sood, Mouloud Denaï. Power system security enhancement by HVDC links using a closed-loop emergency control. Electric Power Systems Research. 2018; 168 ():228-238.

Chicago/Turabian Style

Mokhtar Benasla; Tayeb Allaoui; Mostefa Brahami; Vijay K. Sood; Mouloud Denaï. 2018. "Power system security enhancement by HVDC links using a closed-loop emergency control." Electric Power Systems Research 168, no. : 228-238.

Journal article
Published: 13 November 2018 in IEEE Access
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ACS Style

Abdelkrim Benali; Mounir Khiat; Tayeb Allaoui; Mouloud Denai. Power Quality Improvement and Low Voltage Ride Through Capability in Hybrid Wind-PV Farms Grid-Connected Using Dynamic Voltage Restorer. IEEE Access 2018, 6, 68634 -68648.

AMA Style

Abdelkrim Benali, Mounir Khiat, Tayeb Allaoui, Mouloud Denai. Power Quality Improvement and Low Voltage Ride Through Capability in Hybrid Wind-PV Farms Grid-Connected Using Dynamic Voltage Restorer. IEEE Access. 2018; 6 ():68634-68648.

Chicago/Turabian Style

Abdelkrim Benali; Mounir Khiat; Tayeb Allaoui; Mouloud Denai. 2018. "Power Quality Improvement and Low Voltage Ride Through Capability in Hybrid Wind-PV Farms Grid-Connected Using Dynamic Voltage Restorer." IEEE Access 6, no. : 68634-68648.