Real-Time Power and Intelligent Systems (RTPIS) Laboratory

Publications

Journal Papers:

  • Liu, W., Liu, L., Cartes, D. and Venayagamoorthy G. K. (2007): Binary Particle Swarm Optimization Based Defensive Islanding of Large Scale Power Systems. International Journal of Computer Science and Applications 4.3, 69-83, 2007.
  • Liu, W., Sarangapani, J., Venayagamoorthy, G. K., Crow, M. and Cartes, D. (2007): Decentralized Neural Network-Based Excitation Control of Large-Scale Power Systems. International Journal of Control, Automation and Systems 5.5, 526-538.
  • Liu, W., Venayagamoorthy, G. K., Sarangapani, J., Crow, M. and Cartes, D. (2007): Adaptive Neural Network Based Stabilizing Controller Design for Single Machine Infinite Bus Power Systems. Dynamics of Continuous, Discrete and Impulsive Systems – an International Journal, Series B: Application and Algorithm 14.S1, 494-502.
  • Liu, W., Sarangapani, J., Venayagamoorthy, G. K., Crow, M., and Cartes, D. (2007): Two Neural Network Based Decentralized Controller Designs for Large Scale Power Systems. Dynamics of Continuous, Discrete and Impulsive Systems – an International Journal, Series B: Application and Algorithm 14.S1, 486-493.
  • Liu, W., Venayagamoorthy, G. K. and Wunsch, D. C. (2005): A Heuristic Dynamic Programming based Power System Stabilizer for a Turbogenerator in a Single Machine Power System. IEEE Transactions in Industry Applications 41.5, 1377-1385.
  • Liu, W., Venayagamoorthy, G. K. and Wunsch, D. C. (2003): Design of an Adaptive Neural Network Based Power System Stabilizer. Neural Networks 16.5-6, 891-898.

    • Conference Papers:

  • Liu, W., Jagannathan, S., Venayagamoorthy, G. K., Wunsch, D. C., Crow, M. and Cartes, D. (2007): Comparisons of an Adaptive Neural Network Based Controller and an Optimized Conventional Power System Stabilizer. IEEE International Symposium on Intelligent Control, Singapore, October 2007.
  • Liu, W., Jagannathan, S., Venayagamoorthy, G. K., Wunsch, D. C., Crow, M. and Cartes, D. (2007): Neural Network Based Decentralized Controls of Large Scale Power Systems. IEEE International Symposium on Intelligent Control, Singapore, October 2007.
  • Liu, F., Zheng, M., Venayagamoorthy, G. K. and Leu, M. (2007): Management of an Intelligent Argumentation Network for a Web-based Collaborative Engineering Design Environment. The 2007 International Symposium on Collaborative Technologies and Systems, Orlando, Florida, USA, May 2007.
  • Liu, W., Sarangapani, J., Venayagamoorthy, G. K., Wunsch, D. and Cartes, D. (2006): Neural Network based Decentralized Excitation Control of Large Scale Power Systems. IEEE-INNS International Joint Conference on Neural Networks, Vancouver, Canada, July 2006.
  • Liu, W., Cartes, D. A. and Venayagamoorthy, G. K. (2006): Application of Particle Swarm Optimization To Split Power Grids Into Islands. IEEE International Conference on System of Systems Engineering, Los Angeles, April 2006.
  • Liu, W., Sarangapani, J., Venayagamoorthy, G. K. and Wunsch, D. C. (2004): Feedback Linearization based Power System Stabilizer Design with Control Limits. 36th North American Power Symposium, Moscow, Idaho, USA, August 2004.
  • Liu, W., Sarangapani, J., Venayagamoorthy, G. K., Wunsch, D. C. and Crow, M. L. (2004): Neural Network Stabilizing Control of Single Machine Power System with Control Limits. IEEE-INNS International Conference on Neural Networks, July 2004, 1823-1828.
  • Liu, W., Venayagamoorthy, G. K. and Wunsch, D. C. (2003): A Heuristic Dynamic Programming based Power System Stabilizer for a Turbogenerator in a Single Machine Power System. IEEE-IAS 38th Annual Meeting, Salt Lake City, Utah, USA, October 2003, 270-276.
  • Liu, W., Venayagamoorthy, G. K. and Wunsch, D. C. (2003): Online Identification of Turbogenerator’s Dynamics Using a Neuro-Identifier. Intelligent Systems Applications to Power Systems (ISAP), Lemnos, Greece, August/September 2003.
  • Liu, W., Venayagamoorthy, G. K. and Wunsch DC (2003): Adaptive Neural Network Based Power System Stabilizer Design. INNS-IEEE International Joint Conference on Neural Networks, Portland, Oregon, USA, July 2003, 2970-2975.