Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Network reconfiguration for renewable generation maximization : Application of a power-flow optimization algorithm on a distribution network in southern Sweden

Malmer, Gabriel LU and Thorin, Lovisa (2023)
Abstract
Increasing the amount of renewable generation in distribution networks is a fundamental part of the energy transition. Multiple methods exist to increase the hosting capacity in a grid, to allow larger injections of generation and more efficiently utilize existing infrastructure before operational limits are breached. In this thesis, the method studied for this is network reconfiguration. Many distribution networks are built in a meshed structure but operated radially to allow the use of simple overcurrent protection. By closing and opening sectionalizing switches, new radial topologies can be found which enable a higher injection of distributed generation. In this work, optimal configurations for increased hosting capacity were found... (More)
Increasing the amount of renewable generation in distribution networks is a fundamental part of the energy transition. Multiple methods exist to increase the hosting capacity in a grid, to allow larger injections of generation and more efficiently utilize existing infrastructure before operational limits are breached. In this thesis, the method studied for this is network reconfiguration. Many distribution networks are built in a meshed structure but operated radially to allow the use of simple overcurrent protection. By closing and opening sectionalizing switches, new radial topologies can be found which enable a higher injection of distributed generation. In this work, optimal configurations for increased hosting capacity were found using a joint reconfiguration-optimal power flow algorithm. This was applied to a power flow model of a real 12 kV distribution network in southern Sweden, with 533 nodes and 45 tie switches. The results show that the reconfiguration optimization algorithm performs as intended and can be applied as decision support by a DSO to find new static, potentially overlooked, configurations. The relative increase in hosting capacity can be over 200% in certain scenarios, but large variations exist depending on time and location of the connections. To apply the algorithm in an automated and dynamic mode, robustness issues have to be addressed and grid adjustments made. (Less)
Please use this url to cite or link to this publication:
author
and
supervisor
organization
alternative title
Nätomkoppling för att maximera lokal förnybar elproduktion
publishing date
type
Thesis
publication status
published
subject
keywords
distributed generation, hosting capacity, network reconfiguration, optimal power flow, power distribution, optimization, mixed-integer programming
pages
64 pages
language
English
LU publication?
yes
id
28d00666-9f27-4e2a-8e58-4577f3627871
alternative location
http://lup.lub.lu.se/student-papers/record/9124806
date added to LUP
2023-09-28 15:03:45
date last changed
2023-11-29 11:27:13
@misc{28d00666-9f27-4e2a-8e58-4577f3627871,
  abstract     = {{Increasing the amount of renewable generation in distribution networks is a fundamental part of the energy transition. Multiple methods exist to increase the hosting capacity in a grid, to allow larger injections of generation and more efficiently utilize existing infrastructure before operational limits are breached. In this thesis, the method studied for this is network reconfiguration. Many distribution networks are built in a meshed structure but operated radially to allow the use of simple overcurrent protection. By closing and opening sectionalizing switches, new radial topologies can be found which enable a higher injection of distributed generation. In this work, optimal configurations for increased hosting capacity were found using a joint reconfiguration-optimal power flow algorithm. This was applied to a power flow model of a real 12 kV distribution network in southern Sweden, with 533 nodes and 45 tie switches. The results show that the reconfiguration optimization algorithm performs as intended and can be applied as decision support by a DSO to find new static, potentially overlooked, configurations. The relative increase in hosting capacity can be over 200% in certain scenarios, but large variations exist depending on time and location of the connections. To apply the algorithm in an automated and dynamic mode, robustness issues have to be addressed and grid adjustments made.}},
  author       = {{Malmer, Gabriel and Thorin, Lovisa}},
  keywords     = {{distributed generation; hosting capacity; network reconfiguration; optimal power flow; power distribution; optimization; mixed-integer programming}},
  language     = {{eng}},
  month        = {{08}},
  title        = {{Network reconfiguration for renewable generation maximization : Application of a power-flow optimization algorithm on a distribution network in southern Sweden}},
  url          = {{http://lup.lub.lu.se/student-papers/record/9124806}},
  year         = {{2023}},
}