Distributionally Robust Congestion Management With Dynamic Line Ratings
作者： Feng Qiu , Jianhui Wang
DOI: 10.1109/TPWRS.2014.2361012
关键词:
摘要: Dynamic line rating based on real time meteorological data has been shown to be useful in transmission capacity management. Based a binary forecast, we propose distributionally robust congestion management model that selectively uses dynamic ratings critical lines and keeps the risk of thermal overloading below prescribed level. A case study illustrates proposed can effectively alleviate with low error rate.
harvard.edu
sci-hub.se 参考文章(4)
Kyeon Hur, M. Boddeti, N.D.R. Sarma, J. Dumas, J. Adams, Soon-Kin Chai, High-wire act IEEE Power & Energy Magazine. ,vol. 8, pp. 37- 45 ,(2010) , 10.1109/MPE.2009.934878
András Prékopa, Sharp bounds on probabilities using linear programming Operations Research. ,vol. 38, pp. 227- 239 ,(1990) , 10.1287/OPRE.38.2.227
Ming Ni, J.D. McCalley, V. Vittal, T. Tayyib, Online risk-based security assessment IEEE Transactions on Power Systems. ,vol. 18, pp. 258- 265 ,(2002) , 10.1109/TPWRS.2002.807091
Feng Qiu, Probabilistic covering problems Georgia Institute of Technology. ,(2013)