Dr Mohsen Eskandari
Research Associate

Dr Mohsen Eskandari

  • PhD, University of Technology Sydney, Sydney, Australia, 2017 -  2021
  • MSc, Islamic Azad University, Saveh Branch, Saveh, Iran, the Islamic Republic of, 2011 - 2013
  • BSc, Islamic Azad University, Saveh Branch, Saveh, Iran, the Islamic Republic of, 2000 - 2004

Engineering
Electrical Engineering and Telecommunications

Mohsen was born in Saveh, Iran. He received the B.Sc. and M.Sc. degrees in electrical engineering from Islamic Azad University, Saveh, Iran, in 2004 and 2013, respectively, and the Ph.D. degree in electrical engineering from the University of Technology Sydney (UTS), Sydney, Australia, in 2021. Since March 2020, he has been a Postdoctoral Research Associate with the University of New South Wales, Sydney, Australia. He joined the AUSMURI Neuro-Autonomy project as a Research Fellow in early 2021.

Dr. Mohsen is the founder of MAI OptiTek where he offers consultancy and AI services for intelligent grids and networks. He provides technical sub-consultancy services for consultant companies toward digitalization and intelligent grids. Particularly, he provides valuable advice on the design and stability analysis, parameter tuning and registration, and connection test of inverter-based energy resources including PSCAD and PSS®E modeling. He has more than ten years of experience in different parts of the electrical industry. He has proven skills in handling electric engineering projects as well as a strong background in the field of automation and control.

His research interests include power systems, renewable energy including inverter-interfaced energy resources, BESSs and microgrids, wireless communication, AI-assisted control-optimization-automation, robotics and UAV Navigation.


Dr. Eskandari was the recipient of the Higher Degree Research Excellence Award at UTS Faculty of Engineering and Information Technology in 2018 and 2019, in recognition of outstanding academic performance and the best individual HDR project.

  • Book Chapters | 2023
    Eskandari M, 2023, 'Dynamic Voltage Restorer–A Custom Power Device for Power Quality Improvement in Electrical Distribution Systems', in Power Quality: Infrastructures and Control, Springer Nature
    Book Chapters | 2022
    Sanjeevikumar P; Zand M; Nasab MA; Eskandari M; Samavat T; Jahangiri A; Moradi MH, 2022, 'Power Electronics in Smart Grid', in Smart and Power Grid Systems - Design Challenges and Paradigms, pp. 1 - 20
  • Journal articles | 2024
    Hailong H; Eskandari M; Savkin AV; Ni W, 2024, 'Energy-efficient joint UAV secure communication and 3D trajectory optimization assisted by reconfigurable intelligent surfaces in the presence of eavesdroppers', Defence Technology, 31, pp. 537 - 543, http://dx.doi.org/10.1016/j.dt.2022.12.010
    Journal articles | 2024
    Mishra DK; Eskandari M; Abbasi MH; Sanjeevkumar P; Zhang J; Li L, 2024, 'A detailed review of power system resilience enhancement pillars', Electric Power Systems Research, 230, pp. 110223 - 110223, http://dx.doi.org/10.1016/j.epsr.2024.110223
    Journal articles | 2023
    Amiri F; Eskandari M; Moradi MH, 2023, 'Improved Load Frequency Control in Power Systems Hosting Wind Turbines by an Augmented Fractional Order PID Controller Optimized by the Powerful Owl Search Algorithm', Algorithms, 16, http://dx.doi.org/10.3390/a16120539
    Journal articles | 2023
    Amiri F; Eskandari M; Moradi MH, 2023, 'Virtual Inertia Control in Autonomous Microgrids via a Cascaded Controller for Battery Energy Storage Optimized by Firefly Algorithm and a Comparison Study with GA, PSO, ABC, and GWO', Energies, 16, http://dx.doi.org/10.3390/en16186611
    Journal articles | 2023
    Asadi Y; Eskandari M; Mansouri M; Moradi MH; Savkin AV, 2023, 'A universal model for power converters of battery energy storage systems utilizing the impedance-shaping concepts', International Journal of Electrical Power and Energy Systems, 149, http://dx.doi.org/10.1016/j.ijepes.2023.109055
    Journal articles | 2023
    Eskandari M; Huang H; Savkin AV; Ni W, 2023, 'Model Predictive Control-Based 3D Navigation of a RIS-Equipped UAV for LoS Wireless Communication With a Ground Intelligent Vehicle', IEEE Transactions on Intelligent Vehicles, 8, pp. 2371 - 2384, http://dx.doi.org/10.1109/TIV.2022.3232890
    Journal articles | 2023
    Eskandari M; Savkin A; Fletcher J, 2023, 'A Deep Reinforcement Learning-based Intelligent Grid-Forming Inverter for Inertia Synthesis by Impedance Emulation', IEEE Transactions on Power Systems, http://dx.doi.org/10.1109/TPWRS.2023.3242469
    Journal articles | 2023
    Eskandari M; Savkin A, 2023, 'Trajectory Planning for UAVs equipped with RISs to Provide Aerial LoS Service for Mobile Nodes in 5G/Optical Wireless Communication Networks', IEEE Transactions on Vehicular Technology, http://dx.doi.org/10.1109/TVT.2023.3243701
    Journal articles | 2023
    Eskandari M; Savkin AV; Fletcher J, 2023, 'Convolutional Neural Network With Reinforcement Learning for Trajectories Boundedness of Fault Ride-Through Transients of Grid-Feeding Converters in Microgrids', IEEE Transactions on Industrial Informatics, http://dx.doi.org/10.1109/TII.2023.3330540
    Journal articles | 2023
    Eskandari M; Savkin AV, 2023, 'Deep Reinforcement Learning Based Joint 3D Navigation and Phase Shift Control for Mobile Internet of Vehicles Assisted by RIS-equipped UAVs', IEEE Internet of Things Journal, http://dx.doi.org/10.1109/JIOT.2023.3277598
    Journal articles | 2023
    Eskandari M; Savkin AV, 2023, 'SLAPS: Simultaneous Localization and Phase Shift for a RIS-equipped UAV in 5G/6G Wireless Communication Networks', IEEE Transactions on Intelligent Vehicles, http://dx.doi.org/10.1109/TIV.2023.3298607
    Journal articles | 2023
    Gorjian A; Eskandari M; Moradi MH, 2023, 'Conservation Voltage Reduction in Modern Power Systems: Applications, Implementation, Quantification, and AI-Assisted Techniques', Energies, 16, http://dx.doi.org/10.3390/en16052502
    Journal articles | 2023
    Savkin AV; Ni W; Eskandari M, 2023, 'Effective UAV Navigation for Cellular-Assisted Radio Sensing, Imaging, and Tracking', IEEE Transactions on Vehicular Technology, http://dx.doi.org/10.1109/TVT.2023.3277426
    Journal articles | 2023
    Sun Z; Eskandari M; Zheng C; Li M, 2023, 'Handling Computation Hardness and Time Complexity Issue of Battery Energy Storage Scheduling in Microgrids by Deep Reinforcement Learning', Energies, 16, http://dx.doi.org/10.3390/en16010090
    Journal articles | 2023
    Uzair M; Li L; Eskandari M; Hossain J; Zhu JG, 2023, 'Challenges, advances and future trends in AC microgrid protection: With a focus on intelligent learning methods', Renewable and Sustainable Energy Reviews, 178, http://dx.doi.org/10.1016/j.rser.2023.113228
    Journal articles | 2022
    Asadi Y; Eskandari M; Mansouri M; Chaharmahali S; Moradi MH; Tahriri MS, 2022, 'Adaptive Neural Network for a Stabilizing Shunt Active Power Filter in Distorted Weak Grids', Applied Sciences (Switzerland), 12, http://dx.doi.org/10.3390/app12168060
    Journal articles | 2022
    Asadi Y; Eskandari M; Mansouri M; Savkin AV; Pathan E, 2022, 'Frequency and Voltage Control Techniques through Inverter-Interfaced Distributed Energy Resources in Microgrids: A Review', Energies, 15, http://dx.doi.org/10.3390/en15228580
    Journal articles | 2022
    Eskandari M; Rajabi A; Savkin AV; Moradi MH; Dong ZY, 2022, 'Battery energy storage systems (BESSs) and the economy-dynamics of microgrids: Review, analysis, and classification for standardization of BESSs applications', Journal of Energy Storage, 55, http://dx.doi.org/10.1016/j.est.2022.105627
    Journal articles | 2022
    Eskandari M; Savkin AV; Alhelou HH; Blaabjerg F, 2022, 'Explicit Impedance Modeling and Shaping of Grid-Connected Converters via an Enhanced PLL for Stabilizing the Weak Grid Connection', IEEE Access, 10, pp. 128874 - 128889, http://dx.doi.org/10.1109/ACCESS.2022.3226818
    Journal articles | 2022
    Eskandari M; Savkin AV; Ni W, 2022, 'Consensus-Based Autonomous Navigation of a Team of RIS-Equipped UAVs for LoS Wireless Communication With Mobile Nodes in High-Density Areas', IEEE Transactions on Automation Science and Engineering, http://dx.doi.org/10.1109/TASE.2022.3183335
    Journal articles | 2022
    Eskandari M; Savkin AV, 2022, 'Robust PLL Synchronization Unit for Grid-Feeding Converters in Micro/Weak Grids', IEEE Transactions on Industrial Informatics, http://dx.doi.org/10.1109/TII.2022.3180074
    Journal articles | 2022
    Heidari S; Hatami A; Eskandari M, 2022, 'An intelligent capacity management system for interface converter in AC-DC hybrid microgrids', Applied Energy, 316, http://dx.doi.org/10.1016/j.apenergy.2022.119112
    Journal articles | 2022
    Mansouri M; Eskandari M; Asadi Y; Siano P; Alhelou HH, 2022, 'Pre-Perturbation Operational Strategy Scheduling in Microgrids by Two-Stage Adjustable Robust Optimization', IEEE Access, 10, pp. 74655 - 74670, http://dx.doi.org/10.1109/ACCESS.2022.3190710
    Journal articles | 2022
    Uzair M; Eskandari M; Li L; Zhu J, 2022, 'Machine Learning Based Protection Scheme for Low Voltage AC Microgrids', Energies, 15, http://dx.doi.org/10.3390/en15249397
    Journal articles | 2022
    Zheng C; Eskandari M; Li M; Sun Z, 2022, 'GA−Reinforced Deep Neural Network for Net Electric Load Forecasting in Microgrids with Renewable Energy Resources for Scheduling Battery Energy Storage Systems', Algorithms, 15, http://dx.doi.org/10.3390/a15100338
    Journal articles | 2021
    Begum M; Eskandari M; Abuhilaleh M; Li L; Zhu J, 2021, 'Fuzzy-based distributed cooperative secondary control with stability analysis for microgrids', Electronics (Switzerland), 10, pp. 1 - 25, http://dx.doi.org/10.3390/electronics10040399
    Journal articles | 2021
    Eskandari M; Savkin AV, 2021, 'A Critical Aspect of Dynamic Stability in Autonomous Microgrids: Interaction of Droop Controllers through the Power Network', IEEE Transactions on Industrial Informatics, pp. 1 - 1, http://dx.doi.org/10.1109/tii.2021.3108568
    Journal articles | 2021
    Eskandari M; Savkin AV, 2021, 'On the Impact of Fault Ride-Through on Transient Stability of Autonomous Microgrids: Nonlinear Analysis and Solution', IEEE Transactions on Smart Grid, 12, pp. 999 - 1010, http://dx.doi.org/10.1109/TSG.2020.3030015
    Journal articles | 2021
    Nasab MA; Zand M; Eskandari M; Sanjeevikumar P; Siano P, 2021, 'Optimal planning of electrical appliance of residential units in a smart home network using cloud services', Smart Cities, 4, pp. 1173 - 1195, http://dx.doi.org/10.3390/smartcities4030063
    Journal articles | 2021
    Rezaeimozafar M; Eskandari M; Savkin AV, 2021, 'A Self-Optimizing Scheduling Model for Large-Scale EV Fleets in Microgrids', IEEE Transactions on Industrial Informatics, http://dx.doi.org/10.1109/TII.2021.3064368
    Journal articles | 2020
    Eskandari M; Blaabjerg F; Li L; Moradi MH; Siano P, 2020, 'Optimal Voltage Regulator for Inverter Interfaced Distributed Generation Units Part II: Application', IEEE Transactions on Sustainable Energy, 11, pp. 2825 - 2835, http://dx.doi.org/10.1109/TSTE.2020.2977357
    Journal articles | 2020
    Eskandari M; Li L; Moradi MH; Siano P; Blaabjerg F, 2020, 'Optimal Voltage Regulator for Inverter Interfaced Distributed Generation Units Part І: Control System', IEEE Transactions on Sustainable Energy, 11, pp. 2813 - 2824, http://dx.doi.org/10.1109/TSTE.2020.2977330
    Journal articles | 2020
    Eskandari M; Li L; Moradi MH; Siano P; Blaabjerg F, 2020, 'Simultaneous reactive power sharing and voltage regulation in an autonomous networked microgrid', IET Generation, Transmission and Distribution, 14, pp. 1366 - 1377, http://dx.doi.org/10.1049/iet-gtd.2019.0534
    Journal articles | 2020
    Eskandari M; Li L; Moradi MH; Wang F; Blaabjerg F, 2020, 'A Control System for Stable Operation of Autonomous Networked Microgrids', IEEE Transactions on Power Delivery, 35, pp. 1633 - 1647, http://dx.doi.org/10.1109/TPWRD.2019.2948913
    Journal articles | 2020
    Mahamedi B; Eskandari M; Fletcher JE; Zhu J, 2020, 'Sequence-Based Control Strategy with Current Limiting for the Fault Ride-Through of Inverter-Interfaced Distributed Generators', IEEE Transactions on Sustainable Energy, 11, pp. 165 - 174, http://dx.doi.org/10.1109/TSTE.2018.2887149
    Journal articles | 2020
    Rajabi A; Eskandari M; Ghadi MJ; Li L; Zhang J; Siano P, 2020, 'A comparative study of clustering techniques for electrical load pattern segmentation', Renewable and Sustainable Energy Reviews, 120, http://dx.doi.org/10.1016/j.rser.2019.109628
    Journal articles | 2020
    Rezaeimozafar M; Eskandari M; Amini MH; Moradi MH; Siano P, 2020, 'A bi-layer multi-objective techno-economical optimization model for optimal integration of distributed energy resources into smart/micro grids', Energies, 13, http://dx.doi.org/10.3390/en13071706
    Journal articles | 2019
    Eskandari M; Li L; Moradi MH; Siano P; Blaabjerg F, 2019, 'Active Power Sharing and Frequency Restoration in an Autonomous Networked Microgrid', IEEE Transactions on Power Systems, 34, pp. 4706 - 4717, http://dx.doi.org/10.1109/TPWRS.2019.2923797
    Journal articles | 2019
    Eskandari M; Li L; Moradi MH; Siano P, 2019, 'A nodal approach based state-space model of droop-based autonomous networked microgrids', Sustainable Energy, Grids and Networks, 18, http://dx.doi.org/10.1016/j.segan.2019.100216
    Journal articles | 2019
    Eskandari M; Li L, 2019, 'Microgrid operation improvement by adaptive virtual impedance', IET Renewable Power Generation, 13, pp. 296 - 307, http://dx.doi.org/10.1049/iet-rpg.2018.5303
    Journal articles | 2019
    Rajabi A; Eskandari M; Jabbari Ghadi M; Ghavidel S; Li L; Zhang J; Siano P, 2019, 'A pattern recognition methodology for analyzing residential customers load data and targeting demand response applications', Energy and Buildings, 203, http://dx.doi.org/10.1016/j.enbuild.2019.109455
    Journal articles | 2018
    Eskandari M; Li L; Moradi MH, 2018, 'Decentralized Optimal Servo Control System for Implementing Instantaneous Reactive Power Sharing in Microgrids', IEEE Transactions on Sustainable Energy, 9, pp. 525 - 537, http://dx.doi.org/10.1109/TSTE.2017.2747515
    Journal articles | 2018
    Eskandari M; Li L; Moradi MH, 2018, 'Improving power sharing in islanded networked microgrids using fuzzy-based consensus control', Sustainable Energy, Grids and Networks, 16, pp. 259 - 269, http://dx.doi.org/10.1016/j.segan.2018.09.001
    Journal articles | 2018
    Mahamedi B; Zhu JG; Eskandari M; Fletcher JE; Li L, 2018, 'Protection of inverter-based microgrids from ground faults by an innovative directional element', IET Generation, Transmission and Distribution, 12, pp. 5918 - 5927, http://dx.doi.org/10.1049/iet-gtd.2018.5469
    Journal articles | 2016
    Moradi MH; Eskandari M; Hosseinian SM, 2016, 'Cooperative control strategy of energy storage systems and micro sources for stabilizing microgrids in different operation modes', International Journal of Electrical Power and Energy Systems, 78, pp. 390 - 400, http://dx.doi.org/10.1016/j.ijepes.2015.12.002
    Journal articles | 2015
    Moradi MH; Eskandari M; Mahdi Hosseinian S, 2015, 'Operational Strategy Optimization in an Optimal Sized Smart Microgrid', IEEE Transactions on Smart Grid, 6, pp. 1087 - 1095, http://dx.doi.org/10.1109/TSG.2014.2349795
    Journal articles | 2014
    Moradi MH; Eskandari M; Showkati H, 2014, 'A hybrid method for simultaneous optimization of DG capacity and operational strategy in microgrids utilizing renewable energy resources', International Journal of Electrical Power and Energy Systems, 56, pp. 241 - 258, http://dx.doi.org/10.1016/j.ijepes.2013.11.012
    Journal articles | 2014
    Moradi MH; Eskandari M, 2014, 'A hybrid method for simultaneous optimization of DG capacity and operational strategy in microgrids considering uncertainty in electricity price forecasting', Renewable Energy, 68, pp. 697 - 714, http://dx.doi.org/10.1016/j.renene.2014.03.001
  • Conference Papers | 2023
    Eskandari M; Savkin AV, 2023, 'AI-based Navigation and Communication Control for a Team of UAVs with Reconfigurable Intelligent Surfaces Supporting Mobile Internet of Vehicles', in 2023 IEEE Conference on Control Technology and Applications, CCTA 2023, pp. 234 - 238, http://dx.doi.org/10.1109/CCTA54093.2023.10253280
    Preprints | 2023
    Mishra DK; Abbasi MH; Eskandari M; Paduel S; Sahoo SK; Zhang J; Li L, 2023, State-Space Modelling and Stability Analysis of Solid-State Transformers for Resilient Distribution Systems, , http://dx.doi.org/10.20944/preprints202312.2189.v1
    Preprints | 2023
    Yadasu S; Awaar V; Jetti V; Eskandari M, 2023, Performance Analysis of Pulse-Based Solar Charge Controller for Low-Powered Battery Applications: NiMH Battery as a Case Study, , http://dx.doi.org/10.20944/preprints202308.1066.v1
    Conference Papers | 2022
    Asadi AHK; Jahangiri A; Zand M; Eskandari M; Nasab MA; Meyar-Naimi H, 2022, 'Optimal Design of High Density HTS-SMES Step-Shaped Cross- Sectional Solenoid to mechanical stress reduction', in Proceedings of the 16th International Conference on Protection and Automation of Power Systems, IPAPS 2022, http://dx.doi.org/10.1109/IPAPS55380.2022.9763198
    Conference Papers | 2022
    Eskandari M; Huang H; Savkin AV; Ni W, 2022, 'Autonomous Guidance of an Aerial Drone for Maintaining an Effective Wireless Communication Link with a Moving Node Using an Intelligent Reflecting Surface', in 2022 14th International Conference on Computer and Automation Engineering, ICCAE 2022, pp. 195 - 199, http://dx.doi.org/10.1109/ICCAE55086.2022.9762421
    Conference Papers | 2020
    Eskandari M; Savkin AV, 2020, 'Interaction of Droop Controllers through Complex Power Network in Microgrids', in IEEE International Conference on Industrial Informatics (INDIN), pp. 311 - 314, http://dx.doi.org/10.1109/INDIN45582.2020.9442097
    Conference Papers | 2020
    Eskandari M; Savkin AV, 2020, 'Transient Stability of Grid-Forming Inverters in Microgrids: Nonlinear Analysis', in 16th IEEE International Conference on Control, Automation, Robotics and Vision, ICARCV 2020, pp. 1156 - 1159, http://dx.doi.org/10.1109/ICARCV50220.2020.9305488
    Conference Papers | 2020
    Zand M; Neghabi O; Nasab MA; Eskandari M; Abedini M, 2020, 'A Hybrid Scheme for Fault Locating in Transmission Lines Compensated by the TCSC', in 2020 15th International Conference on Protection and Automation of Power Systems (IPAPS), IEEE, Shiraz University , IRAN, pp. 1 - 7, presented at 2020 15th International Conference on Protection and Automation of Power Systems (IPAPS), Shiraz University , IRAN, 30 December 2020 - 31 December 2020, http://dx.doi.org/10.1109/ipaps52181.2020.9375626
    Conference Papers | 2019
    Uzair M; Li L; Zhu JG; Eskandari M, 2019, 'A protection scheme for AC microgrids based on multi-agent system combined with machine learning', in 2019 29th Australasian Universities Power Engineering Conference, AUPEC 2019, http://dx.doi.org/10.1109/AUPEC48547.2019.211845
    Conference Papers | 2018
    Mahamedi B; Zhu JG; Eskandari M; Li L; Mehrizi-Sani A, 2018, 'Analysis of fault response of inverter-interfaced distributed generators in sequence networks', in 2018 IEEE Industry Applications Society Annual Meeting, IAS 2018, http://dx.doi.org/10.1109/IAS.2018.8544547
    Conference Papers | 2017
    Eskandari M; Li L, 2017, 'A novel small signal model of multi-bus microgrids for modeling interaction of droop controllers through the power network', in 2017 20th International Conference on Electrical Machines and Systems, ICEMS 2017, http://dx.doi.org/10.1109/ICEMS.2017.8055943
    Conference Papers | 2016
    Moradi MH; Eskandari M; Siano P, 2016, 'Safe transition from connection mode to islanding mode in Microgrids', in 2016 24th Iranian Conference on Electrical Engineering, ICEE 2016, pp. 1902 - 1907, http://dx.doi.org/10.1109/IranianCEE.2016.7585832

  • T. Yu, K.Y. Wang, L. Li, M. Eskandari, L.F. Cheng, K. Qu, L. Yin, “Parallel CPSS Structure Based Smart Energy Robotic Dispatcher and its Knowledge Automation Theory”, National Natural Science Foundation of China, $130,000, 2018.
  • M. Eskandari, “FEIT HDR Research Collaboration Experience Grant”, University of Technology Sydney, $4,000, 2018.

  • UTS International Research Scholarship (IRS) (Nov 2016)
  • UTS President’s Scholarship (UTSP) (Nov 2016)
  • UTS FEIT Higher Degree by Research Publication Award (Dec 2017)

             For publishing high quality, high impact research

  • UTS FEIT HDR Research Collaboration Experience Scholarship (Apr 2018)
  • UTS FEIT Higher Degree Research Directors Commendation (Nov 2018)

             In recognition of outstanding potential and an excellent individual HDR project

  • UTS FEIT Higher Degree Research Excellence Award (Dec 2019)

            In recognition of outstanding academic performance and the best individual HDR project

 

  • Stabilizing Autonomous Networked Microgrids for Future Resilient Grids

Modern power systems have been developing through high penetration of the power electronic-based renewable energy resources and distributed generation units into conventional power systems. Mixing up the power systems and the power electronics technologies along with the smart grid facilities, the microgrid concept has gained full attention for addressing the resiliency issue of modern power systems through autonomous operation capability. However, it is not an easy task to stabilize an autonomous microgrid due to the dominated inverter-interfaced generation units and complex power flow. The microgrid is an emerging technology that facilitates the integration of renewable resources into power systems, and definitely, would be the cornerstone of future/modern power systems.

Goal

  1. Frequency and voltage control of inverter-dominated microgrids while preserving power-sharing and securing dynamics stability.
  2. The impact of battery energy storage systems on the economy-dynamics of microgrids with a focus on linking economics (including the steady-state performance) and dynamics (inertia and frequency support).
  3. Developing accurate physics-aware mathematical models of microgrids for paving the path toward the Digital Twin of microgrids.

Hypothesis

Toward Net-Zero carbon emission energy and power systems.

The microgrid concept is the key solution to address the resiliency issue of modern power systems.

Resilient grids with autonomous multi-microgrid systems

 

  • Impedance Emulation and Shaping for Inverter-Interfaced Energy Resources

The electric components are identified by their impedances and the impedance model of an electric system reveals its characteristics. The dominant inductive impedance of bulk power systems in generation and transmission levels and its compliance with the f-P and V-Q control loops have resulted in harmony for the stable operation of bulk power systems for more than a century. However, inverters reveal arbitrary impedance characteristics, depending on their controllers, that have put the stability of power systems at risk. This project introduces a new concept for developing and designing inverters based on the impedance shaping concept.

Goal

Developing and designing impedance shaping-based controllers to solve stability issues of modern grids hosting inverter-interfaced distributed energy resources.

Hypothesis

A universal controller for inverters utilizing impedance shaping consistent with inertia-impedance strength indexes of electrical grids.

 

 

  • Revisiting and quantifying inverter-dominated grids' inertia and impedance strength indexes

The impacts of the inverters's controllers on the grid strength indexes should be clarified and quantified. The existing virtual impedance and virtual inertia solution fail to stabilize the future grids and require effective solutions.

Goal

Stabilizing the inverter-dominated grids.

Hypothesis

Exploring milestones toward Net-Zero emission electric power and energy systems with 100% inverter-based resources.

 

  • Intelligent Control, Management and Protection Techniques for Inverters-based Energy Resources and Microgrids

Studying the application of deep learning AI-based techniques for addressing uncertainties, complexities, nonlinearities, and computational hardness of conventional methods for control, energy management, and protection of inverter-interface energy resources and (micro) grids.

Goal 

  1. Exploring potential applications of deep learning AI in modern grids including inverter-interfaced renewable energy resources and distributed generation units.
  2. Handling large-scale data associated with high penetration of renewable energy resources, behind-the-meter batteries, and EVs.
  3. Identifying unrecognized features of modern power systems hidden in time series data given by frequency measurements and PMUs.
  4. Developing an intelligent inverter stability tool (IST).
  5. Utilizing AI to complement physics-aware transients-dynamics-economics models in the context of Digital Twin.

Hypothesis

Developing a digital twin (a virtual model) of inverters and microgrids with an intelligent decision-making capability.

 

  • Intelligent Autonomy for Autonomous Vehicles and Systems

Neuro-autonomy: neuro-inspired perception, navigation, and spatial awareness for autonomous robots, vehicles, and systems.

Goal

  1. Autonomous UAV navigation.
  2. RIS-equipped UAV (RISeUAV) for providing aerial LoS service in modern 5G/6G wireless communication systems.
  3. RIS-assisted localization for UAVs and intelligent vehicles.

 

  • Wireless Communication Aided Accurate Localization for Autonomous Intelligent Vehicles

Lidar and vision-based SLAM methods need sensor fusion for intelligent vehicles for safe path planning and path tracking for autonomous driving in dense urban environments. Modern wireless communication networks with fine beamforming capability of massive multi-input-multi-output antennas can assist existing visual SLAMs to create accurate results.  

Goal

  1. Utilizing the power of mmWave communication for accurate localization.