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LUND UNIVERSITY LIBRARIES

Monte Carlo Simulations in Load Flow Calculations-An Application on a Swedish 50 kV Network

Jansson, Alice LU and Åkerman, Emma (2021) In CODEN:LUTEDX/TEIE EIEM01 20211
Industrial Electrical Engineering and Automation
Abstract
The Swedish power system is changing due to the growing installations of non-dispatchable generation as well as the expected growth of variation of consumption levels. Mathematically, the power flows in the grid can to a larger extent be described by stochastic measures rather than deterministic. This suggests a need to introduce probabilistic methods for making load flow calculations as opposed to the deterministic methods used today. The aim of this thesis is to examine and illustrate the use of a probabilistic method for making load flow calculations. The chosen method is a Monte Carlo simulation multiple-scenario method. The method is first set up for a reference case and validated by comparison to real-life measurements. It is then... (More)
The Swedish power system is changing due to the growing installations of non-dispatchable generation as well as the expected growth of variation of consumption levels. Mathematically, the power flows in the grid can to a larger extent be described by stochastic measures rather than deterministic. This suggests a need to introduce probabilistic methods for making load flow calculations as opposed to the deterministic methods used today. The aim of this thesis is to examine and illustrate the use of a probabilistic method for making load flow calculations. The chosen method is a Monte Carlo simulation multiple-scenario method. The method is first set up for a reference case and validated by comparison to real-life measurements. It is then applied on three cases which aim to illustrate the possible industrial applications of the method. The Monte Carlo simulation has generated accurate results in the reference case. The application of the method shows that it could be useful for generating more information on how an installation may affect the power flows in a selected study area. However, it's concluded that the method would need to be improved in order to apply it as a risk-based method. (Less)
Please use this url to cite or link to this publication:
author
Jansson, Alice LU and Åkerman, Emma
supervisor
organization
course
EIEM01 20211
year
type
H3 - Professional qualifications (4 Years - )
subject
keywords
Probabilistic load flow, Power grid, Monte Carlo, Power line capacity
publication/series
CODEN:LUTEDX/TEIE
report number
5462
language
English
id
9051471
date added to LUP
2021-06-09 11:53:42
date last changed
2021-06-09 11:53:42
@misc{9051471,
  abstract     = {{The Swedish power system is changing due to the growing installations of non-dispatchable generation as well as the expected growth of variation of consumption levels. Mathematically, the power flows in the grid can to a larger extent be described by stochastic measures rather than deterministic. This suggests a need to introduce probabilistic methods for making load flow calculations as opposed to the deterministic methods used today. The aim of this thesis is to examine and illustrate the use of a probabilistic method for making load flow calculations. The chosen method is a Monte Carlo simulation multiple-scenario method. The method is first set up for a reference case and validated by comparison to real-life measurements. It is then applied on three cases which aim to illustrate the possible industrial applications of the method. The Monte Carlo simulation has generated accurate results in the reference case. The application of the method shows that it could be useful for generating more information on how an installation may affect the power flows in a selected study area. However, it's concluded that the method would need to be improved in order to apply it as a risk-based method.}},
  author       = {{Jansson, Alice and Åkerman, Emma}},
  language     = {{eng}},
  note         = {{Student Paper}},
  series       = {{CODEN:LUTEDX/TEIE}},
  title        = {{Monte Carlo Simulations in Load Flow Calculations-An Application on a Swedish 50 kV Network}},
  year         = {{2021}},
}