Journal
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
Volume 4, Issue 2, Pages 294-301Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSTE.2012.2222680
Keywords
Correlation; Latin hypercube sampling; Monte Carlo simulation; Nataf transformation; probabilistic load flow
Categories
Funding
- National Natural Science Foundation of China [50937002]
- National Basic Research Program (973 Program) [2012CB215106]
Ask authors/readers for more resources
This paper proposed a probabilistic load flow method that can address the correlated power sources and loads. The proposed probabilistic load flow method is based on the Nataf transformation and the Latin Hypercube Sampling. The main advantage of the proposed method is that high accurate solution can be obtained with less computation. Also, it is almost unconstrained for the probability distributions of the input random variables. Considering the uncertainties of correlated wind power, solar energy and loads, the effectiveness and the accuracy of the proposed probabilistic load flow method are verified by the comparative tests in a modified IEEE 14-bus system and a modified IEEE 118-bus system.
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