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Automated Curtailment of Wind Turbines during Critical Transmission Periods

Delic, Maid (2016) In MSc Theses
Department of Automatic Control
Abstract
The Swedish energy policy is guided by two government bills which were approved by the Swedish parliament in 2009 stating that at least 50 percent of the electricity share should be provided by renewable energy sources by 2020. This thesis focuses on the wind power production and it is a part of the Smart Grid Gotland (SGG) project. One of the goals stated by the SGG project is to have an optimal integration of large hosting capacity for wind power on an existing distribution grid.
The main purpose of this thesis is to automate the curtailment of the wind power plants during critical transmission periods on Gotland, and doing so in a fair manner. The critical transmission periods occur on Gotland when one of the two HVDC links are under... (More)
The Swedish energy policy is guided by two government bills which were approved by the Swedish parliament in 2009 stating that at least 50 percent of the electricity share should be provided by renewable energy sources by 2020. This thesis focuses on the wind power production and it is a part of the Smart Grid Gotland (SGG) project. One of the goals stated by the SGG project is to have an optimal integration of large hosting capacity for wind power on an existing distribution grid.
The main purpose of this thesis is to automate the curtailment of the wind power plants during critical transmission periods on Gotland, and doing so in a fair manner. The critical transmission periods occur on Gotland when one of the two HVDC links are under service. During this period, there can only be a power flow from the mainland to Gotland and this power flow cannot fall below 20 MW due to grid security and Gotland Energy AB (GEAB) are curtailing the wind turbines using a manual workflow from a Distribution Center (DC) where a safety margin for the HVDC link is set to 20 MW. The consequence of using a manual curtailment process is that the power flow from the mainland to Gotland is on an average of 40 MW during the critical transmission periods. This indicates that there is a waste of energy that could be used.
The main goal of the thesis is to reduce the waste of wind power by automating the curtailment process. The approaches that were considered in this thesis were to document the presently used manual workflow for curtailing the wind power. This was done by using different techniques such as; Use Cases, BPMN charts and SGAM models. A solution with minimum set of modification on the present system and environment at GEAB, which automates the present workflow and reduces the waste energy was developed using a PI-controller with feedforward. In addition a generic state-ofthe- art solution taking standardization and performance as the main driver was developed for potential future use. Lastly, a concept for fair curtailment was investigated for distribution of the total wanted power reduction to the wind turbines.
The results indicated that the set-point for the HVDC could be lowered to 23 MW by using the automated process. The approach for the fair curtailment that was considered was based on the contracted power for each wind power plant. Each wind power plant is to be curtailed according to the ratio of the contracted wind power of the wind power plants to the combined contracted power of each wind power plant. (Less)
Please use this url to cite or link to this publication:
author
Delic, Maid
supervisor
organization
year
type
H3 - Professional qualifications (4 Years - )
subject
publication/series
MSc Theses
report number
TFRT-6004
ISSN
0280-5316
language
English
id
8870740
date added to LUP
2016-04-06 12:05:43
date last changed
2016-04-06 12:05:43
@misc{8870740,
  abstract     = {The Swedish energy policy is guided by two government bills which were approved by the Swedish parliament in 2009 stating that at least 50 percent of the electricity share should be provided by renewable energy sources by 2020. This thesis focuses on the wind power production and it is a part of the Smart Grid Gotland (SGG) project. One of the goals stated by the SGG project is to have an optimal integration of large hosting capacity for wind power on an existing distribution grid.
 The main purpose of this thesis is to automate the curtailment of the wind power plants during critical transmission periods on Gotland, and doing so in a fair manner. The critical transmission periods occur on Gotland when one of the two HVDC links are under service. During this period, there can only be a power flow from the mainland to Gotland and this power flow cannot fall below 20 MW due to grid security and Gotland Energy AB (GEAB) are curtailing the wind turbines using a manual workflow from a Distribution Center (DC) where a safety margin for the HVDC link is set to 20 MW. The consequence of using a manual curtailment process is that the power flow from the mainland to Gotland is on an average of 40 MW during the critical transmission periods. This indicates that there is a waste of energy that could be used.
 The main goal of the thesis is to reduce the waste of wind power by automating the curtailment process. The approaches that were considered in this thesis were to document the presently used manual workflow for curtailing the wind power. This was done by using different techniques such as; Use Cases, BPMN charts and SGAM models. A solution with minimum set of modification on the present system and environment at GEAB, which automates the present workflow and reduces the waste energy was developed using a PI-controller with feedforward. In addition a generic state-ofthe- art solution taking standardization and performance as the main driver was developed for potential future use. Lastly, a concept for fair curtailment was investigated for distribution of the total wanted power reduction to the wind turbines.
 The results indicated that the set-point for the HVDC could be lowered to 23 MW by using the automated process. The approach for the fair curtailment that was considered was based on the contracted power for each wind power plant. Each wind power plant is to be curtailed according to the ratio of the contracted wind power of the wind power plants to the combined contracted power of each wind power plant.},
  author       = {Delic, Maid},
  issn         = {0280-5316},
  language     = {eng},
  note         = {Student Paper},
  series       = {MSc Theses},
  title        = {Automated Curtailment of Wind Turbines during Critical Transmission Periods},
  year         = {2016},
}