{"id":{"repo_id":"strathclyde","oai_identifier":"oai:strathclyde:dj52w4688"},"canonical_url":"https://search.dev.ndltd.org/etd/strathclyde/oai:strathclyde:dj52w4688","repository":{"repo_id":"strathclyde","name":"University of Strathclyde","base_url":"https://stax.strath.ac.uk/catalog/oai"},"display":{"title":"The impact of wind generation on power system voltage stability","abstract":"The need for a reduction in pollution emissions, especially from electricity generating facilities, has led to an increased interest in electricity generation from renewable sources. Wind generation seems to be a favourable form of renewable generation considering the growth rate of wind generation. However, an increase in wind generation is influencing overall power system operation and planning in terms of voltage stability. Also, power flow pattern and system's dynamic characteristics change when large percentages of wind generation are connected to the grid. Wind generation is characterised by its variability and intermittency, and as such present major challenges to power system operators. Some of these challenges are examined in detail in this thesis. The main focus is on the impact of DFIG based wind generation on system voltage stability. Therefore, the main contributions of this thesis are, first of all, the original methodology for determining a voltage collapse proximity indicator presented by Alammari and Kwok L Lo (1996) is developed further that considers the wind generator reactive power limits. Secondly, the thesis proposes a new assessment methodology regarding the wind generation impact on voltage stability of power systems, taking into consideration wind generation intermittency and load variations. In this methodology, a voltage collapse proximity indicator (VCPI) based on network loadability is used to investigate the contribution of wind generation to voltage stability. This thesis then develops a comprehensive methodology for calculating the power margin based on wind generation variability. In this methodology, the power stability margin is used to measure the impact of wind generation on system voltage stability.;In addition, the impact of wind generation intermittency and the penetration on system MWh losses based on system loadability is also investigated. In the simulation, wind data measured and collected for one month is used. To verify the analysis methodologies, a variety of test networks are used. These range from a 3-bus system to the IEEE 14-bus system, IEEE 30-bus system, IEEE-118 bus system and the UKGDS test distribution network. These networks are used as sample test systems using recorded and generated wind data, and the wind sources are connected at different network locations. The commercial software Power World Simulator is used to obtain simulated results. Sets of results have been obtained for different wind condition cases for different systems which clearly demonstrate the validity and effectiveness of the developed analysis methods.","abstract_html":"The need for a reduction in pollution emissions, especially from electricity generating facilities, has led to an increased interest in electricity generation from renewable sources. Wind generation seems to be a favourable form of renewable generation considering the growth rate of wind generation. However, an increase in wind generation is influencing overall power system operation and planning in terms of voltage stability. Also, power flow pattern and system's dynamic characteristics change when large percentages of wind generation are connected to the grid. Wind generation is characterised by its variability and intermittency, and as such present major challenges to power system operators. Some of these challenges are examined in detail in this thesis. The main focus is on the impact of DFIG based wind generation on system voltage stability. Therefore, the main contributions of this thesis are, first of all, the original methodology for determining a voltage collapse proximity indicator presented by Alammari and Kwok L Lo (1996) is developed further that considers the wind generator reactive power limits. Secondly, the thesis proposes a new assessment methodology regarding the wind generation impact on voltage stability of power systems, taking into consideration wind generation intermittency and load variations. In this methodology, a voltage collapse proximity indicator (VCPI) based on network loadability is used to investigate the contribution of wind generation to voltage stability. This thesis then develops a comprehensive methodology for calculating the power margin based on wind generation variability. In this methodology, the power stability margin is used to measure the impact of wind generation on system voltage stability.;In addition, the impact of wind generation intermittency and the penetration on system MWh losses based on system loadability is also investigated. In the simulation, wind data measured and collected for one month is used. To verify the analysis methodologies, a variety of test networks are used. These range from a 3-bus system to the IEEE 14-bus system, IEEE 30-bus system, IEEE-118 bus system and the UKGDS test distribution network. These networks are used as sample test systems using recorded and generated wind data, and the wind sources are connected at different network locations. The commercial software Power World Simulator is used to obtain simulated results. Sets of results have been obtained for different wind condition cases for different systems which clearly demonstrate the validity and effectiveness of the developed analysis methods.","abstract_has_math":false,"creators":["Naser, Ibrahim Soliman Mohamed"],"institution":"University of Strathclyde","degree_name":"phd","degree_level":"doctoral-pg","degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2013,"date_issued":"2013","date_published":"2013","updated_at":"2026-07-24T04:51:10Z","subjects":[],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier.doi","label":"DOI","values":["10.48730/rs4j-2b68"],"render_values":[{"text":"10.48730/rs4j-2b68","href":"https://doi.org/10.48730/rs4j-2b68","code":true}]},{"key":"dc:identifier","label":"Identifier","values":["T13453"],"render_values":[{"text":"T13453","href":null,"code":true}]}]},"links":{"outbound_url":"https://stax.strath.ac.uk/concern/theses/dj52w4688","outbound_label":"Repository record","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Naser, Ibrahim Soliman Mohamed"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2012"]},{"key":"dc:date.issued","label":"Date","values":["2013"]},{"key":"dc:publisher.department","label":"Dc Publisher Department","values":["Department of Electronic and Electrical Engineering"]},{"key":"dc:publisher.institution","label":"Dc Publisher Institution","values":["University of Strathclyde"]},{"key":"dc:type.qualificationlevel","label":"Dc Type Qualificationlevel","values":["doctoral-pg"]},{"key":"dc:type.qualificationname","label":"Dc Type Qualificationname","values":["phd"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["T13453"]},{"key":"dc:identifier.doi","label":"DOI","values":["10.48730/rs4j-2b68"]},{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://stax.strath.ac.uk/concern/theses/dj52w4688"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Strathclyde theses - ask staff. Thesis no. : T13453","The need for a reduction in pollution emissions, especially from electricity generating facilities, has led to an increased interest in electricity generation from renewable sources. Wind generation seems to be a favourable form of renewable generation considering the growth rate of wind generation. However, an increase in wind generation is influencing overall power system operation and planning in terms of voltage stability. Also, power flow pattern and system's dynamic characteristics change when large percentages of wind generation are connected to the grid. Wind generation is characterised by its variability and intermittency, and as such present major challenges to power system operators. Some of these challenges are examined in detail in this thesis. The main focus is on the impact of DFIG based wind generation on system voltage stability. Therefore, the main contributions of this thesis are, first of all, the original methodology for determining a voltage collapse proximity indicator presented by Alammari and Kwok L Lo (1996) is developed further that considers the wind generator reactive power limits. Secondly, the thesis proposes a new assessment methodology regarding the wind generation impact on voltage stability of power systems, taking into consideration wind generation intermittency and load variations. In this methodology, a voltage collapse proximity indicator (VCPI) based on network loadability is used to investigate the contribution of wind generation to voltage stability. This thesis then develops a comprehensive methodology for calculating the power margin based on wind generation variability. In this methodology, the power stability margin is used to measure the impact of wind generation on system voltage stability.;In addition, the impact of wind generation intermittency and the penetration on system MWh losses based on system loadability is also investigated. In the simulation, wind data measured and collected for one month is used. To verify the analysis methodologies, a variety of test networks are used. These range from a 3-bus system to the IEEE 14-bus system, IEEE 30-bus system, IEEE-118 bus system and the UKGDS test distribution network. These networks are used as sample test systems using recorded and generated wind data, and the wind sources are connected at different network locations. The commercial software Power World Simulator is used to obtain simulated results. Sets of results have been obtained for different wind condition cases for different systems which clearly demonstrate the validity and effectiveness of the developed analysis methods."]},{"key":"dc:description.abstract","label":"Abstract","values":["The need for a reduction in pollution emissions, especially from electricity generating facilities, has led to an increased interest in electricity generation from renewable sources. Wind generation seems to be a favourable form of renewable generation considering the growth rate of wind generation. However, an increase in wind generation is influencing overall power system operation and planning in terms of voltage stability. Also, power flow pattern and system's dynamic characteristics change when large percentages of wind generation are connected to the grid. Wind generation is characterised by its variability and intermittency, and as such present major challenges to power system operators. Some of these challenges are examined in detail in this thesis. The main focus is on the impact of DFIG based wind generation on system voltage stability. Therefore, the main contributions of this thesis are, first of all, the original methodology for determining a voltage collapse proximity indicator presented by Alammari and Kwok L Lo (1996) is developed further that considers the wind generator reactive power limits. Secondly, the thesis proposes a new assessment methodology regarding the wind generation impact on voltage stability of power systems, taking into consideration wind generation intermittency and load variations. In this methodology, a voltage collapse proximity indicator (VCPI) based on network loadability is used to investigate the contribution of wind generation to voltage stability. This thesis then develops a comprehensive methodology for calculating the power margin based on wind generation variability. In this methodology, the power stability margin is used to measure the impact of wind generation on system voltage stability.;In addition, the impact of wind generation intermittency and the penetration on system MWh losses based on system loadability is also investigated. In the simulation, wind data measured and collected for one month is used. To verify the analysis methodologies, a variety of test networks are used. These range from a 3-bus system to the IEEE 14-bus system, IEEE 30-bus system, IEEE-118 bus system and the UKGDS test distribution network. These networks are used as sample test systems using recorded and generated wind data, and the wind sources are connected at different network locations. The commercial software Power World Simulator is used to obtain simulated results. Sets of results have been obtained for different wind condition cases for different systems which clearly demonstrate the validity and effectiveness of the developed analysis methods."]},{"key":"dc:title","label":"Title","values":["The impact of wind generation on power system voltage stability"]}]}],"canonical_facts":{"dc:creator":["Naser, Ibrahim Soliman Mohamed"],"dc:date":["2012"],"dc:date.issued":["2013"],"dc:description":["Strathclyde theses - ask staff. Thesis no. : T13453","The need for a reduction in pollution emissions, especially from electricity generating facilities, has led to an increased interest in electricity generation from renewable sources. Wind generation seems to be a favourable form of renewable generation considering the growth rate of wind generation. However, an increase in wind generation is influencing overall power system operation and planning in terms of voltage stability. Also, power flow pattern and system's dynamic characteristics change when large percentages of wind generation are connected to the grid. Wind generation is characterised by its variability and intermittency, and as such present major challenges to power system operators. Some of these challenges are examined in detail in this thesis. The main focus is on the impact of DFIG based wind generation on system voltage stability. Therefore, the main contributions of this thesis are, first of all, the original methodology for determining a voltage collapse proximity indicator presented by Alammari and Kwok L Lo (1996) is developed further that considers the wind generator reactive power limits. Secondly, the thesis proposes a new assessment methodology regarding the wind generation impact on voltage stability of power systems, taking into consideration wind generation intermittency and load variations. In this methodology, a voltage collapse proximity indicator (VCPI) based on network loadability is used to investigate the contribution of wind generation to voltage stability. This thesis then develops a comprehensive methodology for calculating the power margin based on wind generation variability. In this methodology, the power stability margin is used to measure the impact of wind generation on system voltage stability.;In addition, the impact of wind generation intermittency and the penetration on system MWh losses based on system loadability is also investigated. In the simulation, wind data measured and collected for one month is used. To verify the analysis methodologies, a variety of test networks are used. These range from a 3-bus system to the IEEE 14-bus system, IEEE 30-bus system, IEEE-118 bus system and the UKGDS test distribution network. These networks are used as sample test systems using recorded and generated wind data, and the wind sources are connected at different network locations. The commercial software Power World Simulator is used to obtain simulated results. Sets of results have been obtained for different wind condition cases for different systems which clearly demonstrate the validity and effectiveness of the developed analysis methods."],"dc:description.abstract":["The need for a reduction in pollution emissions, especially from electricity generating facilities, has led to an increased interest in electricity generation from renewable sources. Wind generation seems to be a favourable form of renewable generation considering the growth rate of wind generation. However, an increase in wind generation is influencing overall power system operation and planning in terms of voltage stability. Also, power flow pattern and system's dynamic characteristics change when large percentages of wind generation are connected to the grid. Wind generation is characterised by its variability and intermittency, and as such present major challenges to power system operators. Some of these challenges are examined in detail in this thesis. The main focus is on the impact of DFIG based wind generation on system voltage stability. Therefore, the main contributions of this thesis are, first of all, the original methodology for determining a voltage collapse proximity indicator presented by Alammari and Kwok L Lo (1996) is developed further that considers the wind generator reactive power limits. Secondly, the thesis proposes a new assessment methodology regarding the wind generation impact on voltage stability of power systems, taking into consideration wind generation intermittency and load variations. In this methodology, a voltage collapse proximity indicator (VCPI) based on network loadability is used to investigate the contribution of wind generation to voltage stability. This thesis then develops a comprehensive methodology for calculating the power margin based on wind generation variability. In this methodology, the power stability margin is used to measure the impact of wind generation on system voltage stability.;In addition, the impact of wind generation intermittency and the penetration on system MWh losses based on system loadability is also investigated. In the simulation, wind data measured and collected for one month is used. To verify the analysis methodologies, a variety of test networks are used. These range from a 3-bus system to the IEEE 14-bus system, IEEE 30-bus system, IEEE-118 bus system and the UKGDS test distribution network. These networks are used as sample test systems using recorded and generated wind data, and the wind sources are connected at different network locations. The commercial software Power World Simulator is used to obtain simulated results. Sets of results have been obtained for different wind condition cases for different systems which clearly demonstrate the validity and effectiveness of the developed analysis methods."],"dc:identifier":["T13453"],"dc:identifier.doi":["10.48730/rs4j-2b68"],"dc:identifier.uri":["https://stax.strath.ac.uk/concern/theses/dj52w4688"],"dc:publisher.department":["Department of Electronic and Electrical Engineering"],"dc:publisher.institution":["University of Strathclyde"],"dc:title":["The impact of wind generation on power system voltage stability"],"dc:type.qualificationlevel":["doctoral-pg"],"dc:type.qualificationname":["phd"]},"updated_at":"2026-07-24T04:51:10Z"}