Journal
IEEE TRANSACTIONS ON POWER SYSTEMS
Volume 32, Issue 3, Pages 2473-2474Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TPWRS.2016.2612881
Keywords
Gaussian mixture model; joint probability distribution; probabilistic load flow
Categories
Funding
- National Natural Science Foundation of China [51190103]
- Foundation for Innovative Research Groups of National Natural Science Foundation of China [51321005]
- Special Fund of the National Basic Research Program (973) of China [2012CB215100]
- State Grid Ningxia Electric Power Company [5229DK14000Z]
Ask authors/readers for more resources
Adopting the Gaussian mixture model, we derive an analytical expression for the joint probability density function of active power on multiple transmission lines, in the presence of non-Gaussian stochastic power injections. The corresponding joint cumulative distribution function is further obtained by multiple integrals. Results of the proposed method coincide with that of Monte Carlo simulations.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available
Share Paper
