Monte Carlo Simulations in Load Flow Calculations-An Application on a Swedish 50 kV Network
(2021) In CODEN:LUTEDX/TEIE EIEM01 20211Industrial 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:
http://lup.lub.lu.se/student-papers/record/9051471
- author
- Jansson, Alice LU and Åkerman, Emma
- supervisor
- organization
- course
- EIEM01 20211
- year
- 2021
- 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}}, }