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Department of Electrical and Computer Engineering

Publications by Electrical Energy Technology

Are you looking for publications by Section of Electrical Energy Technology? On this page you can find all the publications made by the Section of Electrical Energy Technology - Department of Electrical and Computer Engineering, Aarhus University.

Below you can find a list of all the publications, their publishing date, their author(s), and titles. The list can be sorted by date, author, and title:

List of Publications

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Mohammadnia, A., M. Ziapour, B., Ghaebi, H. & Khooban, M. H. (2021). Feasibility assessment of next-generation drones powering by laser-based wireless power transfer. Optics & Laser Technology, 143, Article 107283. https://doi.org/10.1016/j.optlastec.2021.107283

Andalibi, M., Hajihosseini, M., Gheisarnejad Chirani, M., Khooban, M. H. & Boudjadar, J. (2021). A Novel Method for Stabilizing Buck-Boost Converters with CPL using Model Prediction Control. In Proceedings - 2021 22nd IEEE International Conference on Industrial Technology, ICIT 2021 (pp. 541-545). Article 9453639 IEEE. https://doi.org/10.1109/ICIT46573.2021.9453639

Andalibi, M., Hajihosseini, M., Gheisarnejad, M., Boudjadar, J., Khooban, M. H. & Dragicevic, T. (2020). A New Nonlinear Controller for Multilevel DC/DC Boost Converter. In 2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2020 (pp. 276-280). Article 9244399 IEEE. https://doi.org/10.1109/PEDG48541.2020.9244399

Banaei, M., Boudjadar, J., Dragicevic, T. & Khooban, M. H. (2020). Cost Effective Operation of a Hybrid Zero-Emission Ferry Ship. In 2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2020 (pp. 23-28). Article 9244456 IEEE. https://doi.org/10.1109/PEDG48541.2020.9244456

Mohiti, M., Mazidi, M., Rezaei, N. & Khooban, M. H. (2021). Role of vanadium redox flow batteries in the energy management system of isolated microgrids. Journal of Energy Storage, 40, Article 102673. https://doi.org/10.1016/j.est.2021.102673

Salehi, Z., Karimaghaee, P. & Khooban, M. H. (2021). Model Order Reduction of Positive Real Systems Based on Mixed Gramian Balanced Truncation with Error Bounds. Circuits, Systems and Signal Processing, 40(11), 5309-5327. https://doi.org/10.1007/s00034-021-01734-5

Rafiei Foroushani, M., Griffiths, M. P., Boudjadar, J. & Khooban, M. H. (2021). Deep Learning-Based Energy Management of an All-electric City Bus with Wireless Power Transfer. IEEE Access, 9, 43981-43990. Article 9380640. https://doi.org/10.1109/ACCESS.2021.3066300

Salehi, Z., Karimaghaee, P. & Khooban, M. H. (2022). A New Passivity Preserving Model Order Reduction Method: Conic Positive Real Balanced Truncation Method. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 52(5), 2945-2953. https://doi.org/10.1109/TSMC.2021.3057957

Banaei, M., Oloomi‐buygi, M., Raouf‐Sheybani, H. & Khooban, M. H. (2021). Mixed supply function‐Cournot equilibrium model of futures and day‐ahead electricity markets. IET Generation, Transmission & Distribution, 15(10), 1640-1654. https://doi.org/10.1049/gtd2.12123

Abrazeh, S., Parvaresh, A., Mohseni, S.-R., Jahanshahi Zeitouni, M., Gheisarnejad, M. & Khooban, M. H. (2021). Nonsingular Terminal Sliding Mode Control With Ultra-Local Model and Single Input Interval Type-2 Fuzzy Logic Control for Pitch Control of Wind Turbines. IEEE/CAA Journal of Automatica Sinica, 8(3), 690-700. Article 9346074. https://doi.org/10.1109/JAS.2021.1003889

Yildirim, B., Gheisarnejad, M. & Khooban, M. H. (2021). Delay-Dependent Stability Analysis of Modern Shipboard Microgrids. IEEE Transactions on Circuits and Systems Part 1: Regular Papers, 68(4), 1693-1705. https://doi.org/10.1109/TCSI.2021.3052774

Khooban, M. H. & Dragicevic, T. (Eds.) (2021). Control Strategy for Time-Delay Systems: Part II : Engineering Applications. Elsevier. https://www.elsevier.com/books/control-strategy-for-time-delay-systems/khooban/978-0-323-85347-7

Khooban, M. H. & Dragicevic, T. (Eds.) (2021). Control Strategy for Time-Delay Systems: Part I : Concepts and Theories. Academic Press. https://www.elsevier.com/books/control-strategy-for-time-delay-systems/khooban/978-0-12-820599-0

Salehi, Z., Karimaghaee, P. & Khooban, M. H. (2021). Mixed Positive-Bounded Balanced Truncation. IEEE Transactions on Circuits and Systems II: Express Briefs, 68(7), 2488-2492. Article 9328872. https://doi.org/10.1109/TCSII.2021.3053160

Faraji, B., Gheisarnejad, M., Esfahani, Z. & Khooban, M. H. (2022). Smart Sensor Control for Rehabilitation in Parkinson's Patients. IEEE Transactions on Emerging Topics in Computational Intelligence, 6(2), 267-275. https://doi.org/10.1109/TETCI.2020.3045483

Faraji, B., Gheisarnejad, M., Yalsavar, M. & Khooban, M. H. (2021). An Adaptive ADRC Control for Parkinson’s Patients Using Machine Learning. IEEE Sensors Journal, 21(6), 8670 - 8678. Article 9311650. https://doi.org/10.1109/JSEN.2020.3048588

Mosayebi, M., Sadeghzadeh, S. M., Gheisarnejad, M. & Khooban, M. H. (2021). Intelligent and Fast Model-Free Sliding Mode Control for Shipboard DC Microgrids. IEEE Transactions on Transportation Electrification, 7(3), 1662-1671. Article 9311751. https://doi.org/10.1109/TTE.2020.3048552

Jensen, F. (2020). Renewable energy supply for remote research facility in Greenland. Poster session presented at 4th International Conference on Small and Medium Wind Energy, Hurup, Thy, Denmark. http://www.folkecenterevents.net/older_events/09.Fourth-Small-Wind-2020/PDF/07.pdf

Faraji, B., Gheisarnejad, M., Rouhollahi, K., Esfahani, Z. & Khooban, M. H. (2021). Machine Learning Approach based on Ultra-Local Model Control for Treating Cancer Pain. I E E E Sensors Journal, 21(6), 8245-8252. Article 9285309. https://doi.org/10.1109/JSEN.2020.3042937

Andreasen, M. B., Jakobsen, R. & Rezaei, N. (2020). Optimal Power Flow with Dynamic Line Rating for Wind Integrated System. In 2020 55th International Universities Power Engineering Conference (UPEC) IEEE. https://doi.org/10.1109/UPEC49904.2020.9209878

Boudjadar, J. & Khooban, M. H. (2020). A Cost-effective Scheduling Control for a Safety Critical Hybrid Power System. In D. Maga & J. Hajek (Eds.), Proceedings of the 2020 IEEE/ACM 24th International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2020 Article 9213541 IEEE. https://doi.org/10.1109/DS-RT50469.2020.9213541

Khooban, M. H. (2021). An Optimal Non-Integer MPC-based Load Frequency Control for Modern AC Power Grids with V2G Technology. IEEE Transactions on Energy Conversion, 36(2), 1336-1346. https://doi.org/10.1109/TEC.2020.3030655

Afshari-Igder, M., Rafiei Foroushani, M., Boudjadar, J. & Khooban, M. H. (2021). Reliability and Safety Improvement of Emission-Free Ships: Systemic Reliability Centered Maintenance. IEEE Transactions on Transportation Electrification, 7(1), 256-266. Article 9220168. https://doi.org/10.1109/TTE.2020.3030082

Banaei, M., Boudjadar, J. & Khooban, M. H. (2021). Stochastic Model Predictive Energy Management in Hybrid Emission-Free Modern Maritime Vessels. IEEE Transactions on Industrial Informatics, 17(8), 5430-5440. https://doi.org/10.1109/TII.2020.3027808

Banaei, M., Ghanami, F., Rafiei Foroushani, M., Boudjadar, J. & Khooban, M. H. (2020). Energy Management of Hybrid Diesel/Battery Ships in Multidisciplinary Emission Policy Areas. Energies, 13(16), Article 4179. https://doi.org/10.3390/en13164179

Yildirim, B. & Khooban, M. H. (2021). Enhancing stability region of time‐delayed smart power grids by non‐integer controllers. International Journal of Energy Research, 45(1), 541-553. https://doi.org/10.1002/er.5711

Mohammadi Moghadam, H., Gheisarnejad, M., Esfahani, Z. & Khooban, M. H. (2021). A Novel Supervised Control Strategy for Interconnected DFIG-Based Wind Turbine Systems: MiL Validations. IEEE Transactions on Emerging Topics in Computational Intelligence, 5(6), 962-971. https://doi.org/10.1109/TETCI.2020.3010060

Kowsari, E., Zarei, J., Razavi-Far, R., Saif, M., Dragicevic, T. & Khooban, M. H. (2021). A Novel Stochastic Predictive Stabilizer for DC Microgrids Feeding CPLs. IEEE Journal of Emerging and Selected Topics in Power Electronics, 9(2), 1222-1232. https://doi.org/10.1109/JESTPE.2020.3008885

Gheisarnejad, M., Farsizadeh, H. & Khooban, M. H. (2021). A Novel Nonlinear Deep Reinforcement Learning Controller for DC–DC Power Buck Converters. IEEE Transactions on Industrial Electronics, 68(8), 6849-6858. https://doi.org/10.1109/TIE.2020.3005071

Parvaresh, A., Abrazeh, S., Mohseni, S.-R., Jahanshahi Zeitouni, M., Gheisarnejad, M. & Khooban, M. H. (2020). A Novel Deep Learning Backstepping Controller-Based Digital Twins Technology for Pitch Angle Control of Variable Speed Wind Turbine. Designs, 4(2), 1-19. Article 15. https://doi.org/10.3390/designs4020015

Akhbari, A., Rahimi, M. & Khooban, M. H. (2020). Efficient and seamless power management of hybrid generation system based-on DFIG wind sources and microturbine in DC microgrid. Sustainable Energy, Grids and Networks, 23, Article 100367. https://doi.org/10.1016/j.segan.2020.100367

Jensen, F. (2020). Educating sustainable electrical engineers. Poster session presented at 3rd International Conference on Small and Medium Wind Energy, Hurup, Denmark. http://www.folkecenterevents.net/older_events/08.Third-Small-Wind-2020/PDF/07.pdf

Yousefizadeh, S., Bendtsen, J. D., Vafamand, N., Khooban, M. H., Dragicevic, T. & Blaabjerg, F. (2019). EKF-Based Predictive Stabilization of Shipboard DC Microgrids With Uncertain Time-Varying Load. IEEE Journal of Emerging and Selected Topics in Power Electronics, 7(2), 901-909. Article 8590740. https://doi.org/10.1109/JESTPE.2018.2889971

Farsizadeh, H., Gheisarnejad, M., Mosayebi, M., Rafiei Foroushani, M. & Khooban, M. H. (2020). An Intelligent and Fast Controller for DC/DC Converter Feeding CPL in a DC Microgrid. IEEE Transactions on Circuits and Systems II: Express Briefs, 67(6), 1104-1108. Article 8764402. https://doi.org/10.1109/TCSII.2019.2928814

Hasanvand , S., Rafiei Foroushani, M., Gheisarnejad, M. & Khooban, M. H. (2020). Reliable Power Scheduling of an Emission-Free Ship: Multi-Objective Deep Reinforcement Learning. IEEE Transactions on Transportation Electrification, 6(2), 832-843. Article 9046850. https://doi.org/10.1109/TTE.2020.2983247

Gheisarnejad, M., Farsizadeh, H., Tavana, M. R. & Khooban, M. H. (2021). A Novel Deep Learning Controller for DC/DC Buck-Boost Converters in Wireless Power Transfer Feeding CPLs. IEEE Transactions on Industrial Electronics, 68(7), 6379-6384. https://doi.org/10.1109/TIE.2020.2994866

Letafat, A., Rafiei, M., Ardeshiri, M., Sheikh, M., Banaei, M., Boudjadar, J. & Khooban, M. H. (2020). An Efficient and Cost-Effective Power Scheduling in Zero-Emission Ferry Ships. Complexity, 2020, Article 6487873. https://doi.org/10.1155/2020/6487873

Gheisarnejad, M. & Khooban, M. H. (2020). IoT-Based DC/DC Deep Learning Power Converter Control: Real-Time Implementation. IEEE Transactions on Power Electronics, 35(12), 13621-13630. Article 9091054. https://doi.org/10.1109/TPEL.2020.2993635

Jahanshahi Zeitouni, M., Parvaresh, A., Abrazeh, S., Mohseni, S.-R., Gheisarnejad, M. & Khooban, M. H. (2020). Digital Twins-Assisted Design of Next-Generation Advanced Controllers for Power Systems and Electronics: Wind Turbine as a Case Study. Inventions, 5(2), Article 19. https://doi.org/10.3390/inventions5020019

Rafiei Foroushani, M., Boudjadar, J. & Khooban, M. H. (2021). Energy Management of a Zero-Emission Ferry Boat with a Fuel Cell-Based Hybrid Energy System: Feasibility Assessment. IEEE Transactions on Industrial Electronics, 68(2), 1739-1748. https://doi.org/10.1109/TIE.2020.2992005

Vafamand, N., Boudjadar, J. & Khooban, M. H. (2020). Model predictive energy management in hybrid ferry grids. Energy Reports, 6(Supplement 2), 550-557. https://doi.org/10.1016/j.egyr.2019.11.118

Gheisarnejad, M. & Khooban, M. H. (2021). An Intelligent Non-integer PID Controller-based Deep Reinforcement Learning: Implementation and Experimental Results. IEEE Transactions on Industrial Electronics, 68(4), 3609-3618. Article 9042812. https://doi.org/10.1109/TIE.2020.2979561

Mosayebi, M., Gheisarnejad, M. & Khooban, M. H. (2021). An Intelligent Type-2 Fuzzy Stabilization of Multi-DC Nano Power Grids. IEEE Transactions on Emerging Topics in Computational Intelligence, 5(5), 854-859. https://doi.org/10.1109/TETCI.2020.2977676

Vafamand, N., Asemani, M. H., Dragicevic, T., Blaabjerg, F. & Khooban, M. H. (2020). Fuzzy-Observer-Based Predictive Stabilization of DC Microgrids With Power Buffers Through an Imperfect 5G Network. IEEE Systems Journal, 14(3), 4025-4035. Article 9027093. https://doi.org/10.1109/JSYST.2019.2963788

Hajihosseini, M., Andalibi, M., Gheisarnejad, M., Farsizadeh, H. & Khooban, M. H. (2020). DC/DC Power Converter Control-Based Deep Machine Learning Techniques: Real-Time Implementation . IEEE Transactions on Power Electronics, 35(10), 9971-9977. https://doi.org/10.1109/TPEL.2020.2977765

Khalghani, M. R., Solanki, J., Solanki, S., Khooban, M. H. & Sargolzaei, A. (2021). Resilient Frequency Control Design for Microgrids Under False Data Injection. IEEE Transactions on Industrial Electronics, 68(3), 2151-2162. Article 9014504. https://doi.org/10.1109/TIE.2020.2975494

Letafat, A., Rafiei Foroushani, M., Sheikh, M., Afshari-Igder, M., Banaei, M., Boudjadar, J. & Khooban, M. H. (2020). Simultaneous energy management and optimal components sizing of a zero-emission ferry boat. Journal of Energy Storage, 28, Article 101215. https://doi.org/10.1016/j.est.2020.101215

Banaei, M., Rafiei Foroushani, M., Boudjadar, J. & Khooban, M. H. (2020). A Comparative Analysis of Optimal Operation Scenarios in Hybrid Emission-Free Ferry Ships. IEEE Transactions on Transportation Electrification, 6(1), 318-333. Article 8976275. https://doi.org/10.1109/TTE.2020.2970674

Khooban, M. H. & Gheisarnejad, M. (2021). A Novel Deep Reinforcement Learning Controller Based Type-II Fuzzy System: Frequency Regulation in Microgrids. IEEE Transactions on Emerging Topics in Computational Intelligence, 5(4), 689-699. Article 8970451. https://doi.org/10.1109/TETCI.2020.2964886

Asadi, S., Khayatian, A., Dehghani, M., Vafamand, N. & Khooban, M. H. (2020). Robust sliding mode observer design for simultaneous fault reconstruction in perturbed Takagi-Sugeno fuzzy systems using non-quadratic stability analysis. Journal of Vibration and Control, 26(11-12), 1092-1105. Article 1077546319891693. https://doi.org/10.1177/1077546319891693

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