Use of LHS sampling to calculate probabilistic power flow

Main Article Content

M. Przygrodzki, W. Lubicki

Abstract







Power flow is the task of determining node voltages and branch loads in a given state of the power system. In the case of probabilistic flow, the task’s input data and calculation results alike are in the form of probability distributions. These distributions can be specified for the power demand, power generation availability and levels in nodes, and grid configuration. Elements that make up the grid configuration may be assigned a binary distribution, the result of which determines the element’s status (on or off). This distribution characteristic parameter is the failure rate of the element. This paper presents the results of a comparison of Monte Carlo and LHS sampling. The sampling concerned grid infrastructure availability. Calculations were made for two grid systems with different sizes corresponding to the test model (ca. 50 branches) and the national transmission grid model (over 400 branches). Based on the results, conclusions were drawn as to the possibility of using LHS simulation in the probabilistic power flow calculation.












 



Article Details

How to Cite
M. Przygrodzki, W. Lubicki. (2017). Use of LHS sampling to calculate probabilistic power flow. Acta Energetica, (02), 189–196. https://doi.org/10.52710/ae.183
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Articles

References

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