Institut for Elektro- og Computerteknologi

Aarhus Universitets segl

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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Khezri, R., Razmi, P., Mahmoudi, A. & Khooban, M. H. (2026). Deep Learning-Based Optimal Sizing of a Grid-Tied Microgrid Under Real-Time Pricing. IET Smart Grid, 9(1), Artikel e70055. https://doi.org/10.1049/stg2.70055
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. Artikel 9380640. https://doi.org/10.1109/ACCESS.2021.3066300
Fathollahi, A. & Andresen, B. (2024). Deep deterministic policy gradient for adaptive power system stabilization and voltage regulation. e-Prime - Advances in Electrical Engineering, Electronics and Energy, 9, Artikel 100675. https://doi.org/10.1016/j.prime.2024.100675
Andresen, B., Goldenbaum, N. & Brogan, P. (2014). DECOMPOSITION AND MITIGATION OF A DISTURBANCE BEING PRESENT AT AN ELECTRIC CONNECTION BETWEEN AN ELECTRIC POWER GENERATING SYSTEM AND A POWER GRID.
Andresen, B., Goldenbaum, N. & Brogan, P. (2015). Decomposition and mitigation of a disturbance being present at an electric connection between an electric power generating system and a power grid.
Mosayebi, M., Sadeghzadeh, S. M., Khooban, M. H. & Guerrero, J. (2020). Decentralised non-linear I–V droop control to improve current sharing and voltage restoration in DCNG clusters. IET Power Electronics, 13(2), 248 – 255. https://doi.org/10.1049/iet-pel.2019.0263
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
Gheisarnejad, M., Fathollahi, A., Sharifzadeh, M., Laurendeau, E. & Al-Haddad, K. (2025). Data-Driven Switching Control Technique Based on Deep Reinforcement Learning for Packed E-Cell as Smart EV Charger. IEEE Transactions on Transportation Electrification, 11(1), 3194-3203. https://doi.org/10.1109/TTE.2024.3435763
Banaei, M., Boudjadar, J., Dragicevic, T. & Khooban, M. H. (2020). Cost Effective Operation of a Hybrid Zero-Emission Ferry Ship. I 2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2020 (s. 23-28). Artikel 9244456 IEEE. https://doi.org/10.1109/PEDG48541.2020.9244456
Banaei, M., Ghanami, F., Khooban, M. H. & Boudjadar, J. (2021). Cost-effective control of Roll-on/Roll-off Emission-Free Ships. I 2021 25th International Conference on Methods and Models in Automation and Robotics, MMAR 2021 (s. 315-320). IEEE. https://doi.org/10.1109/MMAR49549.2021.9528473
Esfahani, Z. (2023). Copper-Based Redox Flow Batteries for Frequency Containment Reservation (FCR) Provision​.
Andresen, B. & Wulff, S. (2011). CONVERTER DEVICE AND METHOD FOR CONVERTING ELECTRICAL POWER.
Andresen, B. & Wulff, S. (2011). Converter Device and Method for Converting Electrical Power.
Andresen, B. & Wulff, S. (2011). Converter Device and Method for Converting Electrical Power.
Andresen, B. & Wulff, S. (2015). Converter device and method for converting electrical power.
Khooban, M. H. & Dragicevic, T. (red.) (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
Khooban, M. H. & Dragicevic, T. (red.) (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
Badenhorst, W., Jensen, C. M., Jakobsen, U., Esfahani, Z. & Murtomäki, L. (2023). Control-Oriented Electrochemical Model and Parameter Estimation for an All-Copper Redox Flow Battery. Batteries, 9(5), Artikel 272. https://doi.org/10.3390/batteries9050272
Andresen, B. & Sathees, K. (2015). Control of the distribution of electric power generated by a wind farm between an AC power transmission link and a DC power transmission link.
Andresen, B., Szabo, A., Goldenbaum, N. & Obradovic, D. (2016). COMPUTER-AIDED ASCERTAINMENT OF THE IMPEDANCE OF AN ELECTRICAL ENERGY NETWORK. (Patentnummer US20160047851). https://dk.espacenet.com/publicationDetails/biblio?CC=US&NR=2016047851A1&KC=A1&FT=D&ND=3&date=20160218&DB=EPODOC&locale=dk_DK#
Mousaei, A., Gheisarnejad, M. & Khooban, M. H. (2023). Challenges and opportunities of FACTS devices interacting with electric vehicles in distribution networks: A technological review. Journal of Energy Storage, 73, Artikel 108860. https://doi.org/10.1016/j.est.2023.108860
Andresen, B. & Sathees, K. (2012). Capacitance Placement in wind farms.
Maalandish, M., Hosseini, S. H., Sabahi, M., Rostami, N. & Khooban, M. H. (2023). B-MIMO high step-up DC/DC converter with high capability to control inputs. IET Power Electronics, 16(9), 1499-1513. https://doi.org/10.1049/pel2.12486
Liu, B., Wang, Y., Mofid, O., Mobayen, S. & Khooban, M. H. (2024). Barrier Function-Based Backstepping Fractional-Order Sliding Mode Control for Quad-Rotor Unmanned Aerial Vehicle under External Disturbances. IEEE Transactions on Aerospace and Electronic Systems, 60(1), 716-728. https://doi.org/10.1109/TAES.2023.3328801
Rouhani, S. H., Su, C.-L., Mobayen, S., Esmaeili Shayan, M., Khooban, M. H. & Elsisi, M. (2024). Barrier-Function Adaptive Finite-Time Trajectory Tracking Controls for Cyber Resilience in Smart Grids Under an Electricity Market Environment. IEEE Transactions on Smart Grid, 15(6), 6031-6047. https://doi.org/10.1109/TSG.2024.3417704
Mohammadi Moghadam, H., Mohammadzadeh, A., Hadjiaghaie Vafaie, R., Tavoosi, J. & Khooban, M. H. (2022). A type-2 fuzzy control for active/reactive power control and energy storage management. Transactions of the Institute of Measurement and Control, 44(5), 1014-1028. https://doi.org/10.1177/01423312211048038
Roohi, M., Khooban, M. H., Esfahani, Z., Aghababa, M. P. & Dragicevic, T. (2019). A switching sliding mode control technique for chaos suppression of fractional-order complex systems. Transactions of the Institute of Measurement and Control, 41(10), 2932-2946. https://doi.org/10.1177/0142331219834606
Homayounzadeh, M. & Rahimi, M. (2025). Assessing voice vs. writing quality Is there any diference? Revista Española de Lingüística Aplicada, 38(1), 312-352. https://doi.org/10.1075/resla.22055.hom
Boudjadar, J. & Khooban, M. H. (2021). A Safety-Driven Cost Optimization for the Real-Time Operation of a Hybrid Energy System. I H. Selvaraj, G. Chmaj & D. Zydek (red.), Proceedings of the 27th International Conference on Systems Engineering, ICSEng 2020 (s. 390-400). Springer. https://doi.org/10.1007/978-3-030-65796-3_38
Andresen, B., Sathees, K., Egedal, P. & Bjerge, M. (2013). ARRANGEMENT FOR GENERATING A CONTROL SIGNAL FOR CONTROLLING A POWER OUTPUT OF A POWER GENERATION SYSTEM.
Andresen, B. & Sathees, K. (2013). ARRANGEMENT FOR GENERATING A CONTROL SIGNAL FOR CONTROLLING AN ACCELERATION OF A GENERATOR.
Gheisarnejad Chirani, M., Sharifzadeh, M., Khooban, M. H. & Al-Haddad, K. (2021). A Robust Ultra-Local Model Control with DC Capacitor Voltage-Balancing for PEC9 Inverter. I 2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings (s. 2601-2606). IEEE. https://doi.org/10.1109/ECCE47101.2021.9595329
Mosayebi, M. & Khooban, M. H. (2020). A Robust Shipboard DC-DC Power Converter Control: Concept Analysis and Experimental Results. IEEE Transactions on Circuits and Systems II: Express Briefs, 67(11), 2612-2616. https://doi.org/10.1109/TCSII.2019.2963648
Yildirim, B., Gheisarnejad Chirani, M. & Khooban, M. H. (2022). A Robust Non-Integer Controller Design for Load Frequency Control in Modern Marine Power Grids. IEEE Transactions on Emerging Topics in Computational Intelligence, 6(4), 852-866. https://doi.org/10.1109/TETCI.2021.3114735
Rouhi Ardeshiri, R., Gheisarnejad Chirani, M., Tavana, M. R., Vafamand, N. & Khooban, M. H. (2022). A robust intelligent controller-based motion control of a wheeled mobile robot. Transactions of the Institute of Measurement and Control, 44(15), 2911-2918. https://doi.org/10.1177/01423312221088389
Khooban, M. H. (red.) (2024). Applications of Deep Machine Learning in Future Energy Systems. (1 udg.) Elsevier. https://doi.org/10.1016/C2022-0-03145-7
Sasani, H. R., Rezaei, N., Gandomkar, M. & Shooshtary, P. (2006). Application of Tabu Search to Distribution Network Expansion Planning with Distributed Generation. Afhandling præsenteret på AUPEC 2006 - Victoria University — Melbourne Australia Dec 10-13, 2006, Melbourne, Australien.
Shooshtary, P., Gandomkar, M., Sasani, H. R. & Rezaei, N. (2006). Application of Simulated Annealing to Distribution Network Expansion Planning with Distributed Generation. Afhandling præsenteret på AUPEC 2006 - Victoria University — Melbourne Australia Dec 10-13, 2006, Melbourne, Australien.
Oshnoei, S., Aghamohammadi, M. R., Oshnoei , S., Sahoo, S., Fathollahidehkordi, A. & Khooban, M. H. (2023). A novel virtual inertia control strategy for frequency regulation of islanded microgrid using two-layer multiple model predictive control. Applied Energy, 343, Artikel 121233. https://doi.org/10.1016/j.apenergy.2023.121233
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
Sarrafan, N., Zarei, J., Razavi-Far, R., Saif, M. & Khooban, M. H. (2021). A Novel On-Board DC/DC Converter Controller Feeding Uncertain Constant Power Loads. IEEE Journal of Emerging and Selected Topics in Power Electronics, 9(2), 1233-1240. Artikel 8948045. https://doi.org/10.1109/JESTPE.2019.2963417
Mohammadi Moghadam, H., Gheisarnejad Chirani, M., Yalsavar, M., Foroozan, H. & Khooban, M. H. (2021). A Novel Nonsingular Terminal Sliding Mode Control-Based Double Interval Type-2 Fuzzy Systems: Real-Time Implementation. Inventions, 6(2), Artikel 40. https://doi.org/10.3390/inventions6020040
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
Oshnoei, S., Peykarporsan, R., Heidari, J., Mahboubi-Moghaddam, E., Lie, T. T. & Khooban, M. H. (2026). A Novel Model-Free Defense Scheme for Power Systems Stability Under Cyber Attacks. IET Generation, Transmission and Distribution, 20(1), Artikel e70218. https://doi.org/10.1049/gtd2.70218
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. I Proceedings - 2021 22nd IEEE International Conference on Industrial Technology, ICIT 2021 (s. 541-545). Artikel 9453639 IEEE. https://doi.org/10.1109/ICIT46573.2021.9453639
Sohrabzadi, E., Gheisarnejad Chirani, M., Esfahani, Z. & Khooban, M. H. (2022). A novel intelligent ultra-local model control-based type-II fuzzy for frequency regulation of multi-microgrids. Transactions of the Institute of Measurement and Control, 44(5), 1134-1148. https://doi.org/10.1177/01423312211043060
Peykarporsan, R., Oshnoei, S., Fathollahi, A. & Lie, T. T. (2025). A Novel Intelligent Fractional Order Cascade Control to Enhance Wind Energy Conversion in Wind Farms: A Practical Case Study. IEEE Transactions on Energy Conversion, 40(3), 1736-1749. https://doi.org/10.1109/TEC.2025.3543144
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. Artikel 8970451. https://doi.org/10.1109/TETCI.2020.2964886
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

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AU Engineering