Oluleke Babayomi

Oluleke Babayomi

Researcher advancing digital power and grid tech

✧   PUBLICATIONS

✧   A. JOURNAL PAPERS

Topic 1: Advanced Control of Power Converters for Sustainable Energy

  • O. Babayomi, R. Madonski, Z. Zhang, J. Rodriguez, I. Davidson, and D.-S. Kim, “Robust Model Predictive Control of Converter-Based Microgrids,” IEEE Transactions on Power Electronics, November 2025, doi: 10.1109/TPEL.2025.3586709. (Popular Papers, September 2025)
  • O. Babayomi, Y. Li, Z. Zhang, and K.-B. Park, “Advanced Control of Grid-Connected Microgrids: Challenges, Advances and Trends,” IEEE Transactions on Power Electronics, June 2025, doi: 10.1109/TPEL.2025.3526246. (Popular Papers, March–April 2025)
  • O. Babayomi, Z. Zhang, Z. Li, M. L. Heldwein, and J. Rodriguez, “Robust Predictive Control of Grid-Connected Converters: Sensor Noise Suppression with Parallel-Cascade Extended State Observer,” IEEE Transactions on Industrial Electronics, vol. 71, no. 4, pp. 3728–3740, April 2024, doi: 10.1109/TIE.2023.3279565. (Top 35 Most Popular Papers, November–December 2023)
  • O. Babayomi, Z. Zhang, and Z. Li, “Model-Free Predictive Control of DC-DC Boost Converters: Measurement Noise Suppression with Hybrid Extended State Observers,” IEEE Transactions on Power Electronics, vol. 39, no. 1, pp. 245–259, January 2024, doi: 10.1109/TPEL.2023.3321070
  • O. Babayomi, Z. Zhang, Z. Li, and K. B. Park, “Bidirectional DC-DC Converters for Distributed Energy Resources: Robust Predictive Control with Structurally-Adaptive Extended State Observers,” International Journal of Electrical Power & Energy Systems, vol. 158, no. 109913, July 2024, doi: 10.1016/j.ijepes.2024.109913. (JCR-Q1, IF: 5.2)
  • O. Babayomi and Z. Zhang, “Model-Free Predictive Control of Power Converters with Multi-Frequency Extended State Observers,” IEEE Transactions on Industrial Electronics, vol. 70, no. 11, pp. 11379–11389, November 2023, doi: 10.1109/TIE.2022.3225819. (JCR-Q1, IF: 7.7)
  • O. Babayomi and Z. Zhang, “Model-Free Predictive Control of Power Converters with Cascade-Parallel Extended State Observers,” IEEE Transactions on Industrial Electronics, vol. 70, no. 10, pp. 10215–10226, October 2023, doi: 10.1109/TIE.2022.3217609. (JCR-Q1, IF: 7.7)
  • A. T. E. Benyahia, M. Stankovic, O. Babayomi, R. Madonski, and S. M. Manojlovic, “Improving Control Performance by Cascading Observers: Case of ADRC with Cascade ESO,” IEEE/CAA Journal of Automatica Sinica, IF: 15.3, doi: 10.1109/JAS.2024.124995 (Early Access)
  • J. Li*, O. Babayomi, Z. Zhang, and Z. Li, “Robust Predictive Current Control of PMSG Wind Turbines with Sensor Noise Suppression,” Energies, vol. 16, no. 17, 6255, 2023, doi: 10.3390/en16176255. (JCR-Q1, IF: 3.2)
  • J. Li*, Z. Zhang, Z. Li, and O. Babayomi, “Predictive Control of Modular Multilevel Converters: Adaptive Hybrid Framework for Circulating Current and Capacitor Voltage Fluctuation Suppression,” Energies, vol. 16, no. 15, 5772, 2023, doi: 10.3390/en16155772. (JCR-Q1, IF: 3.2)
  • Y. Zhang*, Z. Zhang, O. Babayomi, and Z. Li, “Weighting Factor Design Techniques for Predictive Control of Power Electronics and Motor Drives,” Symmetry, vol. 15, no. 6, 1219, 2023, doi: 10.3390/sym15061219. (JCR-Q1, IF: 2.7)
  • J. Zhang*, Z. Zhang, X. Liu, Z. Li, and O. Babayomi, “Predictive Power Control of Induction Motor Drives with Improved Efficiency,” Energy Reports, vol. 9, no. 2, pp. 496–503, 2023, doi: 10.1016/j.egyr.2023.03.053. (JCR-Q1, IF: 5.2)
  • O. Babayomi and Z. Li, “Distributed Secondary Frequency and Voltage Control of Parallel-Connected VSCs in Microgrids: A Predictive VSG-Based Solution,” CPSS Transactions on Power Electronics and Applications, vol. 5, no. 4, pp. 342–351, December 2020, doi: 10.24295/CPSSTPEA.2020.00028. (SCI, Top 10 Most Popular Paper, May 2022)
  • O. Babayomi and A. Balogun, “Internal Model Loss Minimization Control of Permanent Magnet Synchronous Machine,” Nigerian Journal of Technology, vol. 40, no. 1, pp. 97–108, 2021, doi: 10.4314/njt.v40i1.14. (SCI)
  • O. Babayomi, Z. Zhang, T. Dragicevic, R. Heydari, C. Garcia, J. Rodriguez, and R. Kennel, “Advances and Opportunities in the Model Predictive Control of Microgrids: Part II—Secondary and Tertiary Layers,” International Journal of Electrical Power & Energy Systems, vol. 134, pp. 107339, January 2022, doi: 10.1016/j.ijepes.2021.107339. (JCR-Q1, IF: 5.2)
  • Z. Zhang, O. Babayomi, T. Dragicevic, R. Heydari, C. Garcia, J. Rodriguez, and R. Kennel, “Advances and Opportunities in the Model Predictive Control of Microgrids: Part I—Primary Layer,” International Journal of Electrical Power & Energy Systems, vol. 134, no. 107411, January 2022, doi: 10.1016/j.ijepes.2021.107411. (JCR-Q1, IF: 5.2)
  • O. Babayomi, Z. Zhang, Y. Li, and R. Kennel, “Adaptive Predictive Control with Neuro-Fuzzy Parameter Estimation for Microgrid Grid-Forming Converters,” Sustainability, vol. 13, no. 13:7038, 2021, doi: 10.3390/su13137038. (JCR-Q1, IF: 3.9) (Invited)

Topic 2: Machine Learning for Resilient Electrical Grids

  • D. Razmi*, O. Babayomi, and Z. Zhang, “Reinforcement Learning-Driven Dynamic Model Predictive Control for Adaptive Real-Time Multi-Agent Management of Microgrids,” International Journal of Electrical Power & Energy Systems, vol. 170, p. 110823, 2025, doi: 10.1016/j.ijepes.2025.110823
  • O. Babayomi, I. S. Igboanusi, L. A. Chijioke Ahakonye, and D. S. Kim, “Integrated Blockchain and Federated Learning for Resilient Distributed Energy Resources,” International Journal of Electrical Power & Energy Systems (Accepted)

Topic 3: Sustainable Energy Systems and Grid Integration

  • O. Babayomi, Z. Zhang, T. Dragicevic, J. Hu, and J. Rodriguez, “Smart Grid Evolution: Predictive Control of Distributed Energy Resources—A Review,” International Journal of Electrical Power & Energy Systems, vol. 147, no. 5:108812, May 2023, doi: 10.1016/j.ijepes.2022.108812. (JCR-Q1, IF: 5.2) (Highly-Cited Paper)
  • O. Babayomi, Y. Li, and Z. Zhang, “Distributed Consensus-Based Reactive Power Sharing in Microgrids: A Predictive Virtual Capacitance Control Technique,” International Journal of Electrical Power & Energy Systems, vol. 141, no. 3:108139, October 2022, doi: 10.1016/j.ijepes.2022.108139. (JCR-Q1, IF: 5.2)
  • O. Babayomi, D. A. Dahoro, and Z. Zhang, “Affordable Clean Energy Transition in Developing Countries: Pathways and Technologies,” iScience, vol. 25, no. 5:104178, May 2022, doi: 10.1016/j.isci.2022.104178. (JCR-Q1, IF: 5.2) (Publication fee waived for outstanding quality; cited by World Bank)
  • O. Babayomi et al., “A Review of Renewable Off-Grid Mini-Grids in Sub-Saharan Africa,” Frontiers in Energy Research, 2023, doi: 10.3389/fenrg.2022.1089025. (JCR-Q2, IF: 3.858) (Top-Cited, December 2024)
  • D. Razmi*, O. Babayomi, A. Davari, T. Rahimi, Y. Miao, and Z. Zhang, “Review of Model Predictive Control of Distributed Energy Resources in Microgrids,” Symmetry, vol. 14, no. 8:1735, 2022, doi: 10.3390/sym14081735. (JCR-Q1, IF: 2.94)
  • Y. Liu, S. Shi, Z. Zhang, Z. Di, and O. Babayomi, “Data-Driven Model Predictive Control for Wave Energy Converters Using Gaussian Process,” Symmetry, vol. 14, no. 7:1284, 2022, doi: 10.3390/sym14071284. (JCR-Q1, IF: 2.94)

Topic 4: Other Peer-Reviewed Journal Publications

  • P. O. Oluseyi, T. E. Somefun, O. M. Babatunde, T. O. Akinbulire, O. O. Babayomi, S. A. Isaac, and D. E. Babatunde, “Evaluation of Energy-Efficiency in Lighting Systems for Public Buildings,” International Journal of Energy Economics and Policy, vol. 10, no. 6, pp. 435–439, October 2020, doi: 10.32479/ijeep.9905. (SCI)
  • O. Babayomi, S. Adetona, C. Osheku, and A. Opasina, “Cost Sustainability Analysis of an Enhanced Distribution Network,” FUOYE Journal of Engineering and Technology, vol. 3, no. 1, March 2018, doi: 10.46792/fuoyejet.v3i1.179
  • O. Babayomi and P. O. Oluseyi, “Intelligent Fault Diagnosis in a Power Distribution Network,” Advances in Electrical Engineering, vol. 2016, no. 8651630, 2016, doi: 10.1155/2016/8651630

✧ B. CONFERENCE PAPERS

Topic 1: Advanced Control of Power Converters

  • O. Babayomi, J. Kim*, and K.-B. Park, “Disturbance Observer-Based Control with Sensor Noise Suppression for DAB Converters,” 2024 IEEE Energy Conversion Congress and Exposition (ECCE), Phoenix, AZ, USA, 2024
  • O. Babayomi, Z. Li, Y. Wang*, J. Li, and Z. Zhang, “Model-Free Predictive Torque Control of PMSM Drives with Measurement Noise Suppression,” IEEE International Power Electronics and Applications Symposium (PEAS), Guangzhou, 2023
  • O. Babayomi and Z. Zhang, “Predictive Virtual Capacitance Control for Harmonic and Reactive Power Sharing in Microgrids,” 2021 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics (PRECEDE), Jinan, China, 2021, pp. 947–952, doi: 10.1109/PRECEDE51386.2021.9680953
  • O. Babayomi, Z. Zhang, and J. Rodriguez, “Predictive Virtual Capacitance Control for Harmonic and Reactive Power Sharing in Microgrids,” 2021 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics (PRECEDE), Jinan, China, 2021, pp. 947–952, doi: 10.1109/PRECEDE51386.2021.9680953
  • J. Li, Y. Zhang, Y. Sun, Z. Di, O. Babayomi, José Rodríguez, and Z. Zhang, “Sequential Predictive Control with Dynamic Priority of Three-Level NPC Back-to-Back Power Converters in PMSG Wind Turbine Systems,” 2021 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics (PRECEDE), Jinan, China, 2021, doi: 10.1109/PRECEDE51386.2021.9681032
  • Y. Zhang*, Z. Li, H. Chen, O. Babayomi, M. Zhang, X. Zhang, and Z. Zhang, “A Robust Predictive Current Control of T-Type Three-Level Power Converters Based on Adaptive Linear Neural Network,” IEEE International Power Electronics and Applications Symposium (PEAS), Guangzhou, 2023. (Finalist for Best Paper Award – Top 10%)
  • O. Babayomi, Z. Zhang, Y. L, R. Kennel, “Overview of Model Predictive Control of Converters for Islanded AC Microgrids,” 2020 IEEE 9th International Power Electronics and Motion Control Conference (IPEMC2020-ECCE Asia), 2020, pp. 1023–1028, doi: 10.1109/IPEMC-ECCEAsia48364.2020.9368069. (Finalist for Best Paper Award)
  • O. Babayomi, Z. Li, Z. Zhang, Y. Sun, T. Dragicevic, and J. Rodriguez, “The Role of Model Predictive Control in Microgrid Power Quality - A Survey,” 2020 IEEE 11th International Symposium on Power Distributed Generation Systems (PEDG), 2020, pp. 340–345, doi: 10.1109/PEDG48541.2020.9244364
  • O. Babayomi, A. Balogun, and C. Osheku, “Loss Minimizing Control of PMSM for Electric Power Steering,” 2015 17th UKSIM-AMSS International Conference on Modelling and Simulation, Cambridge, UK, pp. 438–443, March 2015, doi: 10.1109/UKSim.2015.80

Topic 2: Microgrids and Distributed Energy Resources

  • O. Babayomi, Y. Li, Z. Zhang, and J. Rodriguez, “Distributed Predictive Virtual Capacitance Control for Accurate Reactive Power Sharing in Islanded Microgrids,” 2021 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics (PRECEDE), Jinan, China, 2021, pp. 851–856, doi: 10.1109/PRECEDE51386.2021.9680945. (Best Student Paper Award)
  • O. Babayomi, T. Shomefun, and Z. Zhang, “Energy Efficiency of Sustainable Renewable Microgrids for Off-Grid Electrification,” 2020 IEEE PES/IAS PowerAfrica, 2020, pp. 1–5, doi: 10.1109/PowerAfrica49420.2020.9219958. (IEEE PES Trending Technologies Featured Publication)
  • O. Babayomi, Z. Zhang, and J. Kang, “High-Bandwidth Distributed Virtual-Inertia Converters for AC Microgrids,” 2020 IEEE PES/IAS PowerAfrica, 2020, pp. 1–5, doi: 10.1109/PowerAfrica49420.2020.9219843
  • O. Babayomi, Z. Zhang, Z. Li, Y. Sun, T. Dragicevic, and J. Rodriguez, “The Role of Model Predictive Control in Microgrid Power Quality - A Survey,” 2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems (PEDG), 2020, pp. 340–345, doi: 10.1109/PEDG48541.2020.9244364

Topic 3: Renewable Energy and Sustainable Systems

  • O. Babayomi, D. A. Dahoro, “Energy Access vs. Energy for Prosperity: A Reassessment of Africa’s Strategies and Priorities,” 2021 IEEE PES/IAS PowerAfrica Conference, August 2021, doi: 10.1109/PowerAfrica52236.2021.9543177. (IEEE Africa Council Members’ Scholarship)
  • O. Babayomi and T. Okharedia, “Challenges to Sub-Saharan Africa’s Renewable Microgrid Expansion - A CETEP Solution Model,” 2019 IEEE PES/IAS PowerAfrica Conference, August 2019. (IEEE Smart Village Travel Grant & IEEE PES Trending Technologies Featured Publication)
  • O. Babayomi and A. Makarfi, “Energy Efficiency in Unmanned Aircraft Systems: A Review,” 2019 IEEE PES/IAS PowerAfrica Conference, August 2019
  • O. Babayomi, O. Babatunde, and T. Okharedia, “Sustainability of Distributed Generation in a Reconfigured Distribution Network,” IEEE PES-IAS 5th PowerAfrica Conference 2018, doi: 10.1109/PowerAfrica.2018.8521031
  • O. Babayomi, P. Oluseyi, N. A. Ofodile, and G. Keku, “Fault Diagnosis in an Extra-High Voltage Power Line,” 2017 IEEE Power Africa Conference, June 2017, doi: 10.1109/PowerAfrica.2017.7991243
  • O. Babayomi, P. Oluseyi, G. Keku, and N. A. Ofodile, “Neuro-Fuzzy Based Fault Detection Identification and Location in a Distribution Network,” 2017 IEEE Power Africa Conference, June 2017, doi: 10.1109/PowerAfrica.2017.7991217
  • O. Babayomi, C. A. Osheku, M. A. L. Adetoro, A. Okon, and A. O. Opasina, “Low Cost Ground Test Equipment for Atmospheric Rocket Flights Using Embedded Systems,” 2013 IEEE International Conference on Emerging & Sustainable Technologies for Power & ICT in a Developing Society (NIGERCON), Owerri, Nigeria, 2013, pp. 26–29, doi: 10.1109/NIGERCON.2013.6715635. (CSTP Travel Grant)

Topic 4: Machine Learning and Cybersecurity for Grids

  • O. Babayomi and D.-S. Kim, “Federated Anomaly Detection and Mitigation for EV Charging Forecasting Under Cyberattacks,” 2025 International Conference on ICT Convergence (ICTC), October 14–17, 2025
  • O. Babayomi and D.-S. Kim, “Resilient Multi-Task Deep Learning for EV Infrastructure Anomaly Detection and Mitigation,” The 4th International Conference on Mobile • Military • Maritime IT Convergence (ICMIC 2025), Cebu, Philippines, August 2025

Topic 5: Domestic/Regional Conferences

  • O. Babayomi and K. B. Park, “Model-Free Predictive Control of Multilevel Converters for MVDC Grids,” 2024 KIPE Power Electronics Annual Conference, Jeju Island, South Korea, July 2024
  • O. Babayomi and K. B. Park, “Data-Driven Control of Solid-State Transformers,” 2024 KIPE Power Electronics Annual Conference, Jeju Island, South Korea, July 2024
  • O. Babayomi and K. B. Park, “Grid-Forming Solid-State Transformer for Solar PV Integration into Distribution Grids,” 2024 KIPE Power Electronics Annual Conference, Jeju Island, South Korea, July 2024. (Excellent Oral Session Paper)
  • J. Kwon, J. Kim, O. Babayomi, Y. Lee, and K. Park, “A Comparative Analysis of Performance Between FCS-MPC and FCS-Model Free Predictive Control Techniques for IPMSM Control in Accordance with Prediction-Horizon Length and Parameter Mismatch,” 2024 KIPE Power Electronics Annual Conference, Jeju Island, South Korea, July 2024. (Best Paper Award – Top 7%)

C. BOOK CHAPTERS / MONOGRAPHS

Topic 1: Power Electronics & Microgrids

  • Z. Zhang and O. Babayomi, “Chapter 4 - Distributed Secondary Control of Microgrids with Inertia Emulation,” Community Energy and Microgrids: Control, Operation and Optimization, Ed.: J. Hu, Springer Nature, 2025

D. PATENT APPLICATIONS

Topic 4: Jurisdiction: Korea (KR), United States (USA), and China (CN)

Status: 13 applications total; 8 granted

  1. Ki-Bum Park and Oluleke Babayomi, “Control Method for Grid Forming Solid-State Transformer,” KR10-2024-0172226 (2024-11-27)
  2. Ki-Bum Park and Oluleke Babayomi, “Dual Activate Bridge Converter Control with High Disturbance Rejection,” Final: KR10-2024-0178127 (2024-12-04), Provisional: KR10-2023-0175804 (2023-12-06)
  3. Zhang Zhenbin, Oluleke Babayomi, Li Zhen, Yin Yafei, “Model-Free Prediction Torque Control Method and System for Permanent Magnet Synchronous Wind Power Generation System,” ZL2023108408183 (2023-07-10) [ISSUED]
  4. Zhang Zhenbin, Oluleke Babayomi, Li Zhen, Hu Cungang, Yin Zhonggang, “Predictive Control Method and System of Grid-Connected Converter Based on Structurally-Adaptive Extended State Observer,” PCT/CN2023/096637 (2023-05-26)
  5. Zhang Zhenbin, Oluleke Babayomi, Li Zhen, Hu Cungang, Yin Zhonggang, “Predictive Control Method and System of Grid-Connected Converter Based on Structurally-Adaptive Extended State Observer,” PCT/CN2023/096637 (2023-05-26)
  6. Zhang Zhenbin, Oluleke Babayomi, Li Zhen, Hu Cungang, Yin Zhonggang, “A Model-Free Predictive Control Method and System for a Power Converter,” CN2022110124344 (2022-08-23) [ISSUED]
  7. Zhang Zhenbin, Oluleke Babayomi, Li Zhen, Hu Cungang, Yin Zhonggang, “Predictive Control Method and System of Grid-Connected Converter Based on Structural Adaptive ESO,” CN202210973296X (2022-08-15) [ISSUED]; US20250096576A1 (2023-05-26)
  8. Zhang Zhenbin, Oluleke Babayomi, Li Zhen, Hu Cungang, Yin Zhonggang, “Model-Free Predictive Control Method and System for Grid-Connected Converters,” CN2022109611931 (2022-08-11) [ISSUED]
  9. Zhang Zhenbin, Oluleke Babayomi, Li Zhen, Ye Rong, Li Zhi, “Grid-Connected Converter Optimization Control Method and System Based on Model-Free Prediction,” CN202210645617.3A (2022-06-09)
  10. Zhang Zhenbin, Oluleke Babayomi, Li Zhen, Dong Zheng, Li Yu, “Parallel Converter Model Predictive Control Method and System Based on Virtual Capacitor,” CN113258806A (2021-04-14) [ISSUED]
  11. Z. Zhenbin, O. Babayomi, L. Zhen, “Microgrid Power Converter Control Method, System, Storage Medium and Equipment,” CN2021109206334 (2021-08-11) [ISSUED]
  12. Zhang Zhenbin, Oluleke Babayomi, Li Zhen, Wang Ruiqi, Hu Cungang, “Distributed Voltage Source Converter Cooperative Control Method and AC/DC Hybrid Microgrid,” CN2021101604865 (2021-02-05) [ISSUED]
  13. Zhang Zhenbin, Oluleke Babayomi, Li Zhen, “Fast Frequency Response Distributed Coordinated Control Method and System for Hybrid Wind-Solar Microgrid,” CN2021100823600 (2021-01-21) [ISSUED]
  14. Zhang Zhenbin, Oluleke Babayomi, Li Zhen, “A Method and System for Inertial Control of Interconnected Microgrid,” CN2022101084850 (2022-01-28) [ISSUED]

E. PEER-REVIEWED BLOG PUBLICATIONS

  1. O. Babayomi, “AI Can Help Provide Universal Access to Energy in Africa,” London School of Economics and Political Science Blog, July 2024
  2. O. Babayomi, “AI Can Lower the Cost of the Clean Energy Transition in Africa,” London School of Economics and Political Science Blog, May 2024
  3. O. Babayomi, “How to Move Towards Safer and More Sustainable Mobility in Africa,” London School of Economics and Political Science Blog, February 2024
  4. O. Babayomi, “Africa Can Leverage Nuclear Power for Economic Growth,” London School of Economics and Political Science Blog, November 2023
  5. O. Babayomi, “Locally Generated Electricity Might Not Be the Most Efficient Route for African Energy Transition,” London School of Economics and Political Science Blog, October 2023
  6. O. Babayomi, “Mini-Grids Provide an Opportunity to Meet Africa’s Low Carbon Energy Needs,” London School of Economics and Political Science Blog, August 2023