Energy

UT Arlington Faculty: Victoria Chen, Bill Corley, Jay Rosenberger, Wei-Jen Lee, Shouyi Wang
Collaborators: Cristiano Cervellera, Seoung Bum Kim
Ph.D. Students: Surachai Charoensri (2011), Asama Kulvanitchaiyanunt (2014), Ying Chen (2017), Ukesh Chawal (2018), Alireza Fallahi (2019), , Jie Han, Marina Materikina

Funding: U.S. DOE 2008-09, NSF 2011-15, NSF 2020-23
Topics: Energy processes, Market price forecasting, Dynamic control, Electric vehicle charging stations, Demand response

Description: For energy processes, we have studied parameters for use in the U.S. Department of Energy (DOE) life cycle analysis models, such as H2A and GREET.  Our framework for energy processes will evaluate decisions on technology design, infrastructure, and distribution, including an analysis of distributed versus centralized.  For designing a system of electric vehicle charging stations, we have developed new methods for forecasting market price, dynamically controlling market buy/sell decisions, and conducting two-stage stochastic optimization. For demand response, we optimize the dynamic supply-demand balance under stochastic operational conditions through customer side response of load and generation regulated by dynamic market electricity prices.

  • Fallahi, A., J. M. Rosenberger, V. C. P. Chen, W.-J. Lee, and S. Wang (2019).  “Linear Programming for Multi-Agent Demand Response.” IEEE Access, 7, pp. 181479-181490.  COSMOS Technical Report 19-02.
  • Sarikprueck, P., W.-J. Lee, A. Kulvanitchaiyanunt, V. C. P. Chen, and J. M. Rosenberger (2018).  “Bounds for Optimal Control of a Regional Plug-In Electric Vehicle Charging Station System,” IEEE Transactions on Industry Applications, 54(2), pp. 977–986.  COSMOS Technical Report 16-01.
  • Kulvanitchaiyanunt, A., V. C. P. Chen, J. M. Rosenberger, P. Sarikprueck, and W.-J. Lee (2016).  “A Linear Program for System-Level Control of Regional PHEV Charging Stations.”  IEEE Transactions on Industry Applications, 52(3), pp. 2046–2052.  COSMOS Technical Report 14-03.
  • Ahmadi, M., J. M. Rosenberger, W.-J. Lee, A. Kulvanitchaiyanunt (2015). “Optimizing Load Control in a collaborative Residential Microgrid Environment.” IEEE Transactions on Smart Grid, 6(3), pp. 1196-1207.  COSMOS Technical Report 13-05.
  • Sarikprueck, P., W.-J. Lee, A. Kulvanitchaiyanunt, V. C. P. Chen, and J. M. Rosenberger (2015).  “Novel Hybrid Market Price Forecasting Method with Data Clustering Techniques for EV Charging Station Application.”  IEEE Transactions on Industry Applications, 51(3), pp. 1987–1996.  COSMOS Technical Report 14-08.
  • Sarikprueck, P., W.-J. Lee, A. Kulvanitchaiyanunt, V. C. P. Chen, and J. M. Rosenberger (2014).  “Novel Hybrid Market Price Forecasting Method with Data Clustering Techniques for EV Charging Station Application.”  In Proceedings of the IEEE Industrial Application Society Annual Meeting, Vancouver, BC, Canada, October.
  • Kulvanitchaiyanunt, A., V. C. P. Chen, J. M. Rosenberger, W.-J. Lee, and P. Sarikprueck (2013).  “Control for a System of PHEV Charging Stations.”  In Proceedings of the 2013 Industrial and Systems Engineering Research Conference, San Juan, Puerto Rico, May.
  • Xiao, W., Y. Cheng, W.-J. Lee, V. C. P. Chen, and S. Charoensri (2011).  “Hydrogen Filling Station Design for Fuel Cell Vehicles.”  IEEE Transactions on Industry Applications, 47(1), pp. 245–251.
  • Xiao, W., Y. Cheng, W.-J. Lee, V. C. P. Chen, and S. Charoensri (2010).  “Hydrogen Filling Station Design for Fuel Cell Vehicles.”  In Proceedings of the IEEE, Industry Applications Society, Industrial and Commercial Power Systems Annual Conference.