Smart grids are being equipped with fast and precise sensing devices for ensuring reliable grid operations. The focus of this research is to efficiently handle high data measurements of this sensors while providing cost effective solutions. In this research we study Linear State Estimation (LSE) process of the smart grid system. LSE plays a vital role in grid monitoring and planning activities.
This research enables design of cost effective and distributed solutions for the Linear State Estimation of Smart Grid.
- Chakati, V., Pore, M., Pal, A., Banerjee, A., & Gupta, S. K. (2017, April). Challenges and trade-offs of a cloud hosted phasor measurement unit-based linear state estimator. In Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), 2017 IEEE (pp. 1-5). IEEE. (pdf)
- Chakati, V. (2017, December). Towards accelerating synchrophasor based linear state estimation of power grid systems. In Proceedings of the 18th Doctoral Symposium of the 18th International Middleware Conference (pp. 17-18). ACM.
- Chakati, V., Pore, M., Pal, A., Banerjee, A., & Gupta, S. K. (2018, August)
Impact of False Data Detection on Cloud Hosted Linear State Estimator Performance. In Power & Energy Society General Meeting, 2018 IEEE. (pdf)