Article
Computer Science, Information Systems
Hussein Shutari, Taib Ibrahim, Nursyarizal Bin Mohd Nor, Hakim Q. A. Abdulrab, Nordin Saad, Qasem Al-Tashi
Summary: This article introduces a new hybrid approach, called HSCATSO optimizer, for optimal designing the power electronic converter control schemes of a grid-tied variable speed wind turbine system. By using the HSCATSO optimizer, the optimally designed control system can better utilize wind power and improve system performance and grid stability.
Article
Green & Sustainable Science & Technology
Fernando A. Inthamoussou, Fernando Valenciaga
Summary: This article presents a closed-loop Maximum Power Point Tracking (MPPT) method for a photovoltaic (PV) system, with a controller and observers to achieve fast-tracking dynamics, moderate computational burden, and reduced hardware cost.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2021)
Article
Automation & Control Systems
Hao Chen, Deguang Xu, Xin Deng
Summary: This article presents a control scheme for switched-reluctance-generator-based small-scale wind power generation system to address the impact of wind power generation on microgrids and loads. The proposed method considers dynamic changes in load and maximum power tracking control to improve the utilization efficiency of small-scale wind power generation. The effectiveness of the control schemes is verified experimentally.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2021)
Article
Engineering, Electrical & Electronic
Elmostafa Chetouani, Youssef Errami, Abdellatif Obbadi, Smail Sahnoun
Summary: This paper proposes the Hidden Layer Recurrent Neural Network (HLRNN) for controlling a wind power generation system based on a dual-fed induction generator. A PI controller-based Indirect Vector Control (IVC) scheme has been established to pilot the system, with the aim of ensuring the PI controller gains self-adaptation regardless of the severity of the circumstances. The effectiveness of the proposed control is demonstrated by considering critical conditions and comparing it to existing schemes.
ELECTRIC POWER SYSTEMS RESEARCH
(2023)
Article
Engineering, Electrical & Electronic
Roberto Sussumu Inomoto, Jose Roberto Boffino de Almeida Monteiro, Alfeu J. Sguarezi Filho
Summary: This article proposes a sliding mode controller applied to the dc-dc boost converter of a PV system to improve the performance of maximum power point tracking in fast variation environment conditions. Experimental results show that the sliding mode controller outperforms other controllers in terms of steady-state error, overshoot, and settling time reduction.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
(2022)
Article
Environmental Sciences
Gayathri Devi Krishnan Nair Sulochana Thankachy, Sujatha Therese Paul Raj
Summary: This paper aims to establish a control design for a 7-level inverter using an optimized PI controller, which dynamically adjusts gains to improve the efficiency and performance of PV systems. Experimental results show that the optimized PI controller outperforms traditional models in certain measures.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Ali Dali, Samir Abdelmalek, Azzeddine Bakdi, Maamar Bettayeb
Summary: This paper proposes a novel Improved Maximum Power Point Tracking (IMPPT) algorithm to extract the maximum available power from a direct-drive Permanent-Magnet Synchronous Generator (PMSG) based standalone Small-scale Variable Speed Wind Turbine (VSWT). The proposed control scheme, combined with a new designed nonlinear robust controller, aims to improve the power extraction efficiency of the system. Simulation results verify the effectiveness and superiority of the proposed approach under different wind speed conditions.
Article
Engineering, Multidisciplinary
Parusharamulu Buduma, Narendra Kumar Vulisi, Gayadhar Panda
Summary: The study introduces a new robust control and Kalman MPPT scheme for a grid-connected wind energy conversion system (WECS) to regulate active and reactive power effectively. The proposed MOSRNN control scheme ensures power regulation with improved quality and stability, even under system uncertainties.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2021)
Article
Automation & Control Systems
Irfan Sami, Shafaat Ullah, Nasim Ullah, Jong-Suk Ro
Summary: This paper presents a high-performance control system for wind power generation based on fuzzy fractional-order terminal sliding mode control, which achieves a balance between control performance and chattering elimination through the boundary layer approach. Additionally, a novel wind speed estimation technique based on Gaussian process regression is proposed.
Article
Automation & Control Systems
Abdeldjebar Hazzab, Hicham Gouabi, Mohamed Habbab, Miloud Rezkallah, Hussein Ibrahim, Ambrish Chandra
Summary: The aim of this paper is to develop an experimental standalone wind energy conversion system emulator (WECSE) using a nonlinear PI controller to improve torque and current control strategy. The prototype uses a separately excited DC motor to simulate the wind turbine, and a modified drift-free Perturb and Observe (P&O) Maximum Power Point Tracking algorithm (MPPT) to control a directly driven wound-rotor synchronous generator and power conversion system. Experimental tests validate the effectiveness of the proposed method in different wind speeds, showing significantly improved control, emulation, and MPPT performances compared to the conventional method.
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
(2023)
Article
Mathematics, Interdisciplinary Applications
Banu Ataslar-Ayyildiz, Oguzhan Karahan, Serhat Yilmaz
Summary: This study focuses on controlling and stabilizing Maglev systems using fractional order controllers and a hybrid tuning method of GWO-PSO algorithms to achieve robust stability and disturbance rejection. Different control approaches such as fractional order PID, fractional order sliding mode, and fractional order Fuzzy control methods are applied to enhance the control performance of the Maglev system. The simulation results show that the fractional controllers demonstrate better control performance, fast and robust stability, and excellent disturbance suppression effect, proving effective in dealing with the nonlinearity and uncertainty in the Maglev system.
FRACTAL AND FRACTIONAL
(2021)
Article
Automation & Control Systems
Rajeev Kumar, Rajveer Singh, Haroon Ashfaq, Sudhir Kumar Singh, Manoj Badoni
Summary: This paper demonstrates the effectiveness of using WOA algorithm to optimize a controller for damping low-frequency torsional oscillations in a Type-2 WPP system. Simulation results based on dynamic responses in different scenarios show that WOA algorithm is capable of effectively suppressing low-frequency torsional oscillations.
Article
Computer Science, Information Systems
Ibrahim M. Mehedi, Ubaid M. Al-Saggaf, Mahendiran T. Vellingiri, Ahmad H. Milyani, Nordin Bin Saad, Nor Zaihar Bin Yahaya
Summary: This paper designs an OBSO-based FOPID controller for sustainable and secure energy extraction in wind turbine systems. The research findings demonstrate the advantages of the proposed model over other methods.
CMC-COMPUTERS MATERIALS & CONTINUA
(2022)
Article
Mathematics, Interdisciplinary Applications
Lingling Xie, Di Wan, Rui Qin
Summary: Based on the fact that the inductor and capacitor are of a non-integer order by nature, this paper establishes a fractional-order model for the Buck-Boost converter in continuous current mode using fractional-order calculus theory. A fractional-order PI control system is designed to compare its performance with an integer-order PI controller. The sparrow search algorithm is then applied to optimize the fractional-order PI control system, improving system stability and robustness. Simulation on Matlab/Simulink platform validates the effectiveness of the proposed approach.
FRACTAL AND FRACTIONAL
(2023)
Article
Energy & Fuels
Yashar Mousavi, Geraint Bevan, Ibrahim Beklan Kucukdemiral, Afef Fekih
Summary: This study presents a nonlinear control approach to maximize power extraction of wind energy conversion systems operating below their rated wind speeds. By introducing fractional calculus and nonsingular sliding mode control strategy, it is possible to maximize the captured power of wind turbines.
Article
Automation & Control Systems
Abbes Kihal, Fateh Krim, Abdelbaset Laib, Billel Talbi, Hamza Afghoul
Article
Engineering, Electrical & Electronic
Abdeslem Sahli, Fateh Krim, Abdelbaset Laib, Billel Talbi
ELECTRIC POWER SYSTEMS RESEARCH
(2020)
Article
Engineering, Electrical & Electronic
Billel Talbi, Fateh Krim, Abdelbaset Laib, Abdeslem Sahli
ELECTRICAL ENGINEERING
(2020)
Article
Chemistry, Physical
Issam Abadlia, Linda Hassaine, Antar Beddar, Fateh Abdoune, Mohammed Rida Bengourina
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2020)
Article
Engineering, Electrical & Electronic
Badreddine Babes, Amar Boutaghane, Noureddine Hamouda
Summary: An improved Adaptive Fast Terminal Synergetic Controller (AFTSC) utilizing Dual Radial Basis Function Neural Networks (NNs) is proposed for output voltage control of an uncertain DC/DC step-down converter. Dual RBFNNs are used to approximate unknown converter non-linear dynamics and reduce modeling error without linearization. The stability of the closed-loop system is ensured by the Lyapunov method, and the suggested controller's efficiency and feasibility are demonstrated through simulations and experiments.
ELECTRICAL ENGINEERING
(2022)
Article
Computer Science, Artificial Intelligence
Badreddine Babes, Amar Boutaghane, Noureddine Hamouda
Summary: In this paper, a metaheuristic optimized multilayer feed-forward artificial neural network (ANN) controller is proposed for extracting maximum power from solar energy and distributing power using a three-phase shunt active power filter (APF). The control system is designed to overcome drawbacks in conventional methods and has been shown to provide better maximum power point tracking and faster speed, demonstrating high robustness with minimal steady-state oscillation. The proposed system utilizes ant colony optimization (ACO) algorithm to evolve connection weights and biases for optimal performance.
NEURAL COMPUTING & APPLICATIONS
(2022)
Article
Engineering, Multidisciplinary
Saad Chaouch, Mourad Hasni, Amar Boutaghane, Sami Kahla, Seddik Bacha, David Frey
Summary: This paper presents a novel and simplified model for a current-output phase-shift full-bridge DC-DC LCLC resonant converter in arc welding applications, validated through simulation results. The fractional order PID controller appears to be more suitable for arc welding applications compared to the traditional PID controller.
INTERNATIONAL JOURNAL OF MODELLING AND SIMULATION
(2022)
Article
Engineering, Electrical & Electronic
Badreddine Babes, Saad Mekhilef, Amar Boutaghane, Lazhar Rahmani
Summary: This article presents a simple and systematic approach to synthesize a robust adaptive fuzzy fractional-order nonsingular terminal sliding mode controller to improve the output voltage tracking control performance of the dc-dc buck converters. The combination of fractional-order calculus and NTSMC enhances flexibility and robustness, while obtaining finite time convergence properties during output load changes. A fuzzy logic system with online adaptive learning algorithm is designed to provide smooth chattering in switching control signal.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2022)
Article
Green & Sustainable Science & Technology
Badreddine Babes, Noureddine Hamouda, Fahad Albalawi, Oualid Aissa, Sherif S. M. Ghoneim, Saad A. Mohamed Abdelwahab
Summary: This study proposes a reliable voltage controller design method for buck DC / DC converters, which combines the terminal attractor approach with an enhanced reaching law-based Fast Terminal Synergetic Controller (FTSC). It overcomes the limitations of chattering phenomena in existing Sliding Mode Controllers (SMCs) and the indefinite time convergence issue in traditional Synergetic Controllers (SCs).
Article
Engineering, Electrical & Electronic
Habib Bey, Fateh Krim, Oussama Gherouat
Summary: This paper presents a discrete-time synergetic controller (DTSC) enhanced with ant colony optimization (ACO) technique for a shunt active power filter (SAPF). The developed controller is implemented using field-programmable gate array (FPGA) and the proposed DTSC parameters are optimally tuned according to ACO methodology. The experimental validation on Virtex-6 ML605 FPGA Xilinx Evaluation Kit shows good dynamic performance and proper operation of the developed approach.
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS
(2023)
Article
Multidisciplinary Sciences
Abdelouahad May, Fateh Krim, Hamza Feroura, Abdesslam Belaout
Summary: This paper presents a two-stage grid-tied PV design based on a high-gain DC-DC converter and a 7-level PUC inverter controlled by FCS-MPC. The proposed design includes a novel model for controlling the DC-link voltage considering system losses. Simulation and experimental results demonstrate the effectiveness of the proposed control strategy in terms of power quality, response time, and accuracy, under various weather conditions.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2023)
Proceedings Paper
Energy & Fuels
Abdelhamid Mansouri, Fateh Krim, Abdelbasset Laib
2020 6TH IEEE INTERNATIONAL ENERGY CONFERENCE (ENERGYCON)
(2020)
Article
Engineering, Electrical & Electronic
Noureddine Hamouda, Badreddine Babes, Sami Kahla, Cherif Hamouda, Amar Boutaghane
PRZEGLAD ELEKTROTECHNICZNY
(2020)
Article
Multidisciplinary Sciences
Abdelbaset Laib, Fateh Krim, Billel Talbi, Abdeslem Sahli
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2020)
Proceedings Paper
Computer Science, Theory & Methods
Hamza Afghoul, Fateh Krim, Antar Beddar, Anouar Ounas
RENEWABLE ENERGY FOR SMART AND SUSTAINABLE CITIES: ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGETIC SYSTEMS
(2019)
Article
Thermodynamics
Pengcheng Zhao, Jingang Wang, Liming Sun, Yun Li, Haiting Xia, Wei He
Summary: The production of green hydrogen through water electrolysis is crucial for renewable energy utilization and decarbonization. This research explores the optimal electrode configuration and system design of compactly-assembled industrial electrolyzer. The findings provide valuable insights for industrial application of water electrolysis equipment.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
V. Baiju, P. Abhishek, S. Harikrishnan
Summary: Thermally driven adsorption desalination systems (ADS) have gained attention as an eco-friendly solution for water scarcity. However, they face challenges related to low water productivity and scalability. To overcome these challenges, integrating ADS with other desalination technologies can create a small-scale hybrid system. This study proposes integrating ADS with a Thermo Electric Dehumidification (TED) unit to enhance its performance.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
C. X. He, Y. H. Liu, X. Y. Huang, S. B. Wan, Q. Chen, J. Sun, T. S. Zhao
Summary: A decentralized centroid multi-path RC network model is constructed to improve the temperature prediction accuracy compared to traditional RC models. By incorporating multiple heat flow paths and decentralizing thermal capacity, a more accurate prediction is achieved.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Chaoying Li, Meng Wang, Nana Li, Di Gu, Chao Yan, Dandan Yuan, Hong Jiang, Baohui Wang, Xirui Wang
Summary: There is an urgent need to shift away from heavy dependence on fossil fuels and embrace renewable energy sources, particularly in the energy-intensive oil refining process. This study presents an innovative concept called the Solar Oil Refinery, which applies solar energy in oil refining. A solar multi-energies-driven hybrid chemical oil refining system that utilizes solar pyrolysis and electrolysis has been developed, significantly improving solar utilization efficiency, cracking rate, and hydrogen yield.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Chao Ma, Guanghui Wang, Dingbiao Wang, Xu Peng, Yushen Yang, Xinxin Liu, Chongrui Yang, Jiaheng Chen
Summary: This study proposes a bio-inspired fish-tail wind rotor to improve the wind power efficiency of the traditional Savonius rotor. Through transient simulations and orthogonal experiments, the key factors affecting the performance are identified. A response surface model is constructed to optimize the power coefficient, resulting in an improvement of 9.4% and 6.6% compared to the Savonius rotor.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Sina Bahmanziari, Abbas-Ali Zamani
Summary: This paper proposes a new framework for improving electrical energy harvesting from piezoelectric smart tiles through a combination of magnetic plucking, mechanical impact, and mechanical vibration force mechanisms. Experimental results demonstrate a significant increase in energy yield and average energy harvesting time compared to other mechanisms.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Nanjiang Dong, Tao Zhang, Rui Wang
Summary: This study establishes a multiobjective mixed-variable configuration optimization model for a comprehensive combined cooling, heating, and power energy system, and proposes an efficient generating operator to optimize this model. The experimental results show that the proposed algorithm performs better than other state-of-the-art algorithms.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Ahmed E. Mansy, Eman A. El Desouky, Tarek H. Taha, M. A. Abu-Saied, Hamada El-Gendi, Ranya A. Amer, Zhen-Yu Tian
Summary: This study aims to convert office paper waste into bioethanol through a sustainable pathway. The results show that physiochemical and enzymatic hydrolysis of the waste can yield a high glucose concentration. The optimal conditions were determined using the Box-Behnken design, and a blended membrane was used for ethanol purification.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Sven Klute, Marcus Budt, Mathias van Beek, Christian Doetsch
Summary: Heat pumps are crucial for decarbonizing heat supply, and steam generating heat pumps have the potential to decarbonize the industrial sector. This paper presents the current state, technical and economic data, and modeling principles of steam generating heat pumps.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Le Zhang, To-Hung Tsui, Yen Wah Tong, Pruk Aggarangsi, Ronghou Liu
Summary: This study investigates the effectiveness of a current-carrying-coil-based magnetic field in promoting anaerobic digestion of chicken manure. The results show that the applied magnetic field increases methane yield, decreases carbon dioxide production, and reduces the concentration of ammonia nitrogen. Microbial community analysis reveals the enrichment of certain methanogenic genera and enhanced metabolic pathways. Pilot-scale experiments confirm the technical effectiveness of the magnetic field assistance in enhancing anaerobic digestion of chicken manure.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Bo Chen, Ruiqing Ma, Yang Zhou, Rui Ma, Wentao Jiang, Fan Yang
Summary: This paper presents an advanced energy management strategy for fuel cell hybrid electric heavy-duty vehicles, focusing on speed planning and energy allocation. By utilizing predictive co-optimization control, this strategy ensures safe inter-vehicle distance and minimizes energy demand. Simulation results demonstrate the effectiveness of the proposed method in reducing fuel cell degradation cost and overall operation cost.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Fabio Fatigati, Roberto Cipollone
Summary: Organic Rankine Cycle-based microcogeneration systems that use solar sources to generate electricity and hot water can help reduce CO2 emissions in residential energy-intensive sectors. The adoption of a recuperative heat exchanger in these systems improves efficiency, reduces thermal power requirements, and saves on electricity costs.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Lipeng He, Renwen Liu, Xuejin Liu, Xiaotian Zheng, Limin Zhang, Jieqiong Lin
Summary: This research proposes a piezoelectric-electromagnetic hybrid energy harvester (PEHEH) for low-frequency wave motion and self-sensing wave environment monitoring. The PEHEH shows promising power output and the ability to self-power and self-sense the wave environment.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Shangling Chu, Yang Liu, Zipeng Xu, Heng Zhang, Haiping Chen, Dan Gao
Summary: This paper studies a distributed energy system integrated with solar and natural gas, analyzes the impact of different parameters on its energy utilization and emissions reduction, and obtains the optimal solution through an optimization algorithm. The results show that compared to traditional separation production systems, this integrated system achieves higher energy utilization and greater reduction in carbon emissions.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Qingpu Li, Yaqi Ding, Guangming Chen, Yongmei Xuan, Neng Gao, Nian Li, Xinyue Hao
Summary: This paper proposes and studies a piston-type thermally-driven pump with a structure similar to a linear compressor, aiming to eliminate the high-quality energy consumption of existing pumps and replace mechanical pumps. The coupling mechanism of working fluid flow and element dimension is analyzed based on force analysis, and experimental data analysis is used to determine the pump operation stroke. Theoretical simulation is conducted to analyze the correlation mechanism of the piston assembly. The research shows that the thermally-driven pump can greatly reduce power consumption and has potential for industrial applications.
ENERGY CONVERSION AND MANAGEMENT
(2024)