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Grid Capacity : Challenges and Opportunities

Lundberg, Martin LU (2025)
Abstract
Electric power grids have a limited capacity for safe and reliable transfer of power. Due to the ongoing large-scale expansion of variable renewable energy sources, such as wind and solar, there is a growing need for rapid grid
capacity increase.

This thesis explores methods for improving and expanding grid capacity through control of converter-interfaced energy resources, including wind and solar plants, and battery energy storage systems. The objective is to safely operate existing networks at their capacity limits, which improves grid utilisation and reduces reliance on slow infrastructure upgrades. Specifically, voltage and power flow constraints in distribution networks, and power flow limits in transmission networks are... (More)
Electric power grids have a limited capacity for safe and reliable transfer of power. Due to the ongoing large-scale expansion of variable renewable energy sources, such as wind and solar, there is a growing need for rapid grid
capacity increase.

This thesis explores methods for improving and expanding grid capacity through control of converter-interfaced energy resources, including wind and solar plants, and battery energy storage systems. The objective is to safely operate existing networks at their capacity limits, which improves grid utilisation and reduces reliance on slow infrastructure upgrades. Specifically, voltage and power flow constraints in distribution networks, and power flow limits in transmission networks are considered in the presented research.

The thesis contains two main research contributions. The first concerns development of new control methods for converter-interfaced resources. Three types of PI control based methods are proposed. First, voltage limitation strategies for distribution networks based are presented (Papers I and II). Through adjustments of both active and reactive power, mitigation of overvoltage is ensured in networks with low X/R ratios. Second, a method for
congestion management in distribution networks is developed, for which control actions are organised through a flexibility dispatch list (Paper III). Third, a method for coordinated control of energy storage systems to form a virtual power line is investigated (Paper IV). The virtual power line allows for improved utilisation of existing transmission network capacity, as well as temporary increases in power transfer between different areas.

The second main research contribution concerns methods for modelling and analysis of grid capacity in power systems with large shares of renewable generation. The general characteristics of the renewable energy expansion
are first introduced (Paper I). A modelling framework is developed for analysis of nonlinear dynamics of local voltage controllers in a quasi-static grid model (Paper II). Virtual power line control, sizing, and placement is analysed in a system model based on power transfer distribution factors (Paper IV). Finally, a capacity expansion model is developed, with a detailed representation of electricity market dynamics heavily influenced by weather variability (Paper V).

The results indicate that significant improvements to grid utilisation in existing power systems is possible through low-complexity decentralised control strategies for inverter-interfaced resources. (Less)
Abstract (Swedish)
Electric power grids have a limited capacity for safe and reliable transfer of power. Due to the ongoing large-scale expansion of variable renewable energy sources, such as wind and solar, there is a growing need for rapid grid
capacity increase.

This thesis explores methods for improving and expanding grid capacity through control of converter-interfaced energy resources, including wind and solar plants, and battery energy storage systems. The objective is to safely operate existing networks at their capacity limits, which improves grid utilisation and reduces reliance on slow infrastructure upgrades. Specifically, voltage and power flow constraints in distribution networks, and power flow limits in transmission networks are... (More)
Electric power grids have a limited capacity for safe and reliable transfer of power. Due to the ongoing large-scale expansion of variable renewable energy sources, such as wind and solar, there is a growing need for rapid grid
capacity increase.

This thesis explores methods for improving and expanding grid capacity through control of converter-interfaced energy resources, including wind and solar plants, and battery energy storage systems. The objective is to safely operate existing networks at their capacity limits, which improves grid utilisation and reduces reliance on slow infrastructure upgrades. Specifically, voltage and power flow constraints in distribution networks, and power flow limits in transmission networks are considered in the presented research.

The thesis contains two main research contributions. The first concerns development of new control methods for converter-interfaced resources. Three types of PI control based methods are proposed. First, voltage limitation strategies for distribution networks based are presented (Papers I and II). Through adjustments of both active and reactive power, mitigation of overvoltage is ensured in networks with low X/R ratios. Second, a method for
congestion management in distribution networks is developed, for which control actions are organised through a flexibility dispatch list (Paper III). Third, a method for coordinated control of energy storage systems to form a virtual power line is investigated (Paper IV). The virtual power line allows for improved utilisation of existing transmission network capacity, as well as temporary increases in power transfer between different areas.

The second main research contribution concerns methods for modelling and analysis of grid capacity in power systems with large shares of renewable generation. The general characteristics of the renewable energy expansion
are first introduced (Paper I). A modelling framework is developed for analysis of nonlinear dynamics of local voltage controllers in a quasi-static grid model (Paper II). Virtual power line control, sizing, and placement is analysed in a system model based on power transfer distribution factors (Paper IV). Finally, a capacity expansion model is developed, with a detailed representation of electricity market dynamics heavily influenced by weather variability (Paper V).

The results indicate that significant improvements to grid utilisation in existing power systems is possible through low-complexity decentralised control strategies for inverter-interfaced resources. (Less)
Please use this url to cite or link to this publication:
author
supervisor
opponent
  • Prof. Repo, Sami, Tampere University, Finland.
organization
alternative title
Nätkapacitet : Utmaningar och Möjligheter
publishing date
type
Thesis
publication status
published
subject
publisher
Division of Industrial Electrical Engineering and Automation, Faculty of Engineering, Lund University
defense location
Lecture Hall M:B, building M, Ole Römers väg 1F, Faculty of Engineering LTH, Lund University, Lund.
defense date
2025-10-03 09:00:00
ISBN
978-91-985110-6-2
978-91-985110-7-9
project
Grid Capacity - Challenges and Opportunities
language
English
LU publication?
yes
id
5238c506-8fc9-4903-bedb-7bd6ed13faea
date added to LUP
2025-09-04 14:40:09
date last changed
2025-09-08 09:34:14
@phdthesis{5238c506-8fc9-4903-bedb-7bd6ed13faea,
  abstract     = {{Electric power grids have a limited capacity for safe and reliable transfer of power. Due to the ongoing large-scale expansion of variable renewable energy sources, such as wind and solar, there is a growing need for rapid grid<br/>capacity increase.<br/><br/>This thesis explores methods for improving and expanding grid capacity through control of converter-interfaced energy resources, including wind and solar plants, and battery energy storage systems. The objective is to safely operate existing networks at their capacity limits, which improves grid utilisation and reduces reliance on slow infrastructure upgrades. Specifically, voltage and power flow constraints in distribution networks, and power flow limits in transmission networks are considered in the presented research.<br/><br/>The thesis contains two main research contributions. The first concerns development of new control methods for converter-interfaced resources. Three types of PI control based methods are proposed. First, voltage limitation strategies for distribution networks based are presented (Papers I and II). Through adjustments of both active and reactive power, mitigation of overvoltage is ensured in networks with low X/R ratios. Second, a method for<br/>congestion management in distribution networks is developed, for which control actions are organised through a flexibility dispatch list (Paper III). Third, a method for coordinated control of energy storage systems to form a virtual power line is investigated (Paper IV). The virtual power line allows for improved utilisation of existing transmission network capacity, as well as temporary increases in power transfer between different areas.<br/><br/>The second main research contribution concerns methods for modelling and analysis of grid capacity in power systems with large shares of renewable generation. The general characteristics of the renewable energy expansion<br/>are first introduced (Paper I). A modelling framework is developed for analysis of nonlinear dynamics of local voltage controllers in a quasi-static grid model (Paper II). Virtual power line control, sizing, and placement is analysed in a system model based on power transfer distribution factors (Paper IV). Finally, a capacity expansion model is developed, with a detailed representation of electricity market dynamics heavily influenced by weather variability (Paper V).<br/><br/>The results indicate that significant improvements to grid utilisation in existing power systems is possible through low-complexity decentralised control strategies for inverter-interfaced resources.}},
  author       = {{Lundberg, Martin}},
  isbn         = {{978-91-985110-6-2}},
  language     = {{eng}},
  publisher    = {{Division of Industrial Electrical Engineering and Automation, Faculty of Engineering, Lund University}},
  school       = {{Lund University}},
  title        = {{Grid Capacity : Challenges and Opportunities}},
  url          = {{https://lup.lub.lu.se/search/files/227023218/GridCapacityThesis.pdf}},
  year         = {{2025}},
}