The deregulation of the power system and the incorporation of generation from renewable energy sources recessitates faster state estimation in the smart grid. Distributed state estimation (DSE) has become a promising and scalable solution to this urgent demand. In this paper, we investigate the regionalization algorithms for the power system, a necessary step before distributed state estimation can be performed. To the best of the authors' knowledge, this is the first investigation on automatic regionalization (AR). We propose three spectral clustering based AR algorithms. Simulations show that our proposed algorithms outperform the two investigated manual regionalization cases. With the help of AR algorithms, we also show how the number of regions impacts the accuracy and convergence speed of the DSE and conclude that the number of regions needs to be chosen carefully to improve the convergence speed of DSEs.
|Original language||English (US)|
|Title of host publication||2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||4|
|State||Published - Apr 19 2017|
|Event||2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Washington, United States|
Duration: Dec 7 2016 → Dec 9 2016
|Name||2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings|
|Other||2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016|
|Period||12/7/16 → 12/9/16|
Bibliographical noteFunding Information:
This work was supported in part by the National Science Foundation under grant number ECCS-1232305 and the U.S. Department of Energy under Contract No. DE-AC36-08-GO28308 with the National Renewable Energy Laboratory as part of the project work performed under the SunShot National Laboratory Multiyear Partnership.
© 2016 IEEE.
- Automatic regionalization
- Distributed state estimation
- Power system operations
- Spectral clustering