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Energy and Power Networks and Systems

Energy and power networks are the biggest engineering marvels of the 20th century. They are extraordinarily complex systems comprising of generation, transmission and distribution sub systems and managed by Generation Management Systems, Energy Management Systems and Distribution Management Systems. With the receding of environment resources alternatives for power generation have spurred wind, solar and natural gas generation. With these new alternatives, traditional resources such as coal and nuclear power plants are phasing out to preserve the environment. Gas powered vehicles are also spurring pollution, creating a demand for electric vehicles. A major challenge with these networks is the balance of generation and demand and consumers are starting to play an active role in this balance by controlling how they utilize the power for their household and vehicle needs.

Affiliated Faculty

Recent Publications

  1. M. R. Khalghani, J. Solanki, S. Solanki, M. H. Khooban and A. Sargolzaei, "Resilient Frequency Control Design for Microgrids Under False Data Injection," in IEEE Transactions on Industrial Electronics, doi: 10.1109/TIE.2020.2975494.

  2. M. R. Khalghani, J. Solanki, S. Solanki and A. Sargolzaei, “Stochastic Secondary Frequency Control of Islanded Microgrid Under Uncertainties,” IEEE Systems Journal, 2020
  3. D. Tiwari, S. Solanki, J. Solanki, “Vehicle-to-Grid Integration for enhancement of Grid: A Distributed Resource Allocation Approach,” IEEE Access, Access-2020-33673
  4. S. Kasani, D. Tiwari, M. R. Khalghani, J. Solanki, S. Solanki, “Coordinated Charging of Plug-in Hybrid Electric Vehicles with Demand Response in a Microgrid,” IET Smart Grid
  5. H. U. Banna, Z. Yu, D. Shi, Z. Wang, D. Su, C. Xu, S. K. Solanki, J. Solanki, “Online Coherence Identification using Dynamic Time Warping for Controlled Islanding,” Journal of Modern Power and Clean Energy, 2018
  6. Junbiao Han; Khushalani Solanki, S.; Solanki, J., Jiaqi Liang, “Adaptive Critic Design-Based Dynamic Stochastic Optimal Control Design for a Microgrid with Multiple Renewable Resources,” IEEE Transactions on Smart Grid, vol.6, no.6, pp.2694-2703
  7. H. U. Banna, S. K. Solanki, J. Solanki, “Data Driven Disturbance Source Identification for Power System Oscillations using Credibility Search Ensemble Learning,” IET Smart Grid, 2019