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Jeppsson, J. och Nilsson, K. (2014) Development of a Tool to Determine the Correlations between Transmission Losses and Influencing Factors. Göteborg : Chalmers University of Technology
BibTeX
@mastersthesis{
Jeppsson2014,
author={Jeppsson, Jenny and Nilsson, Kristina},
title={Development of a Tool to Determine the Correlations between Transmission Losses and Influencing Factors},
abstract={Investigations on which factors that affect the power transmission losses have been performed
several times before. However, increasing the size of the studied system rapidly
increases the complexity and the problem becomes computationally heavy to solve. In
this thesis a statistical approach has been used in order to be able to investigate what
factors that affect the power transmission losses in a large and complex network. The
area investigated is Regionnät Syd, a medium voltage network with over 200 substations,
owned by E.ON Elnät Sverige AB. Special focus in the thesis is on how losses are affected
by the increasing share of distributed generation, such as wind power production,
in the system. The statistical calculations were performed in Lavastorm, a data analysis
software which can support statistical models written in the programming language R.
The result gave the correlations between the power losses and the parameters included
in the study and was presented as a marginal effect analysis. The main finding is that
distributed wind power production affects the power losses significantly. For the majority
of the data an increasing share of wind power decreases the power losses, but after a
critical value the losses start increasing. To use a statistical approach proved to be a
feasible method to study a power network. However, it is important to keep in mind
that a correlation between a factor and a variable are not necessarily the same thing as
causation.
The final model presented in the results has some defects that are accounted for in
the discussion. Possible improvements, in order to get reliable results, are presented as
recommendations for future work.},
publisher={Institutionen för energi och miljö, Chalmers tekniska högskola},
place={Göteborg},
year={2014},
keywords={transmission losses; wind power; regression analysis; big data},
note={91},
}
RefWorks
RT Generic
SR Electronic
ID 200126
A1 Jeppsson, Jenny
A1 Nilsson, Kristina
T1 Development of a Tool to Determine the Correlations between Transmission Losses and Influencing Factors
YR 2014
AB Investigations on which factors that affect the power transmission losses have been performed
several times before. However, increasing the size of the studied system rapidly
increases the complexity and the problem becomes computationally heavy to solve. In
this thesis a statistical approach has been used in order to be able to investigate what
factors that affect the power transmission losses in a large and complex network. The
area investigated is Regionnät Syd, a medium voltage network with over 200 substations,
owned by E.ON Elnät Sverige AB. Special focus in the thesis is on how losses are affected
by the increasing share of distributed generation, such as wind power production,
in the system. The statistical calculations were performed in Lavastorm, a data analysis
software which can support statistical models written in the programming language R.
The result gave the correlations between the power losses and the parameters included
in the study and was presented as a marginal effect analysis. The main finding is that
distributed wind power production affects the power losses significantly. For the majority
of the data an increasing share of wind power decreases the power losses, but after a
critical value the losses start increasing. To use a statistical approach proved to be a
feasible method to study a power network. However, it is important to keep in mind
that a correlation between a factor and a variable are not necessarily the same thing as
causation.
The final model presented in the results has some defects that are accounted for in
the discussion. Possible improvements, in order to get reliable results, are presented as
recommendations for future work.
PB Institutionen för energi och miljö, Chalmers tekniska högskola,PB Institutionen för energi och miljö, Chalmers tekniska högskola,
LA eng
LK http://publications.lib.chalmers.se/records/fulltext/200126/200126.pdf
OL 30
