{"id":{"repo_id":"unsw","oai_identifier":"oai:unsworks.library.unsw.edu.au:1959.4/70866"},"canonical_url":"https://search.dev.ndltd.org/etd/unsw/oai:unsworks.library.unsw.edu.au:1959.4/70866","repository":{"repo_id":"unsw","name":"University of New South Wales","base_url":"https://unsworks.unsw.edu.au/oai/provider"},"display":{"title":"Low-carbon reliable transmission expansion planning with large-scale renewable energy integration.","abstract":"Modern electricity systems are changed by the following factors: the development of emerging technologies including renewable energy, carbon capture, power electronics devices, the participation of the demand side in the electricity market; the retirement of aging coal-fired power plants (CFPP); and the implementation of carbon policies. Under the pressure of these changes, transmission systems require augmentations and upgrades to achieve operation safety and reliability requirements. New electricity network planning methods need to be developed to address the above changes. In this research study, the traditional transmission expansion planning (TEP) methods have been improved to adapt to the above changes from three aspects, namely economics, risks, and carbon emissions. To reduce the cost of planning, non-network solutions are coordinated in the TEP model. In terms of the low-carbon transformation: the TEP model is used for considering the CFPP retrofit with post-combustion carbon capture (PCC); while CFPP retirement and replacement models are proposed for aging CFPP. The Pareto optimality of aging CFPP retirement and replacement among three conflicting objectives including carbon emissions, total expenditure, and the operation risks are solved. Moreover, the effect of carbon policies including the carbon tax and carbon trading on TEP are tested. To address the reliability issues, a probability reliability assessment method, a renewable ramping cost model, and a novel risk index are developed to assess the risk in the power systems considering the large integration of renewable energy. The effectiveness of the proposed planning methods has been demonstrated in a few benchmark test systems. Simulations have been used to assess the efficiencies and advantages of each approach. This research study can be used to guide the low- carbon transformation of the electricity systems and it can give suggestions to system planners, power generation companies, and policy makers.","abstract_html":"Modern electricity systems are changed by the following factors: the development of emerging technologies including renewable energy, carbon capture, power electronics devices, the participation of the demand side in the electricity market; the retirement of aging coal-fired power plants (CFPP); and the implementation of carbon policies. Under the pressure of these changes, transmission systems require augmentations and upgrades to achieve operation safety and reliability requirements. New electricity network planning methods need to be developed to address the above changes. In this research study, the traditional transmission expansion planning (TEP) methods have been improved to adapt to the above changes from three aspects, namely economics, risks, and carbon emissions. To reduce the cost of planning, non-network solutions are coordinated in the TEP model. In terms of the low-carbon transformation: the TEP model is used for considering the CFPP retrofit with post-combustion carbon capture (PCC); while CFPP retirement and replacement models are proposed for aging CFPP. The Pareto optimality of aging CFPP retirement and replacement among three conflicting objectives including carbon emissions, total expenditure, and the operation risks are solved. Moreover, the effect of carbon policies including the carbon tax and carbon trading on TEP are tested. To address the reliability issues, a probability reliability assessment method, a renewable ramping cost model, and a novel risk index are developed to assess the risk in the power systems considering the large integration of renewable energy. The effectiveness of the proposed planning methods has been demonstrated in a few benchmark test systems. Simulations have been used to assess the efficiencies and advantages of each approach. This research study can be used to guide the low- carbon transformation of the electricity systems and it can give suggestions to system planners, power generation companies, and policy makers.","abstract_has_math":false,"creators":["Shen, Wei"],"institution":"UNSW, Sydney","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2021,"date_issued":"2021","date_published":"2021","updated_at":"2026-07-24T05:34:19Z","subjects":["Low-carbon transmission","Renewal energy integration"],"languages":["EN"],"rights":["open access","CC BY-NC-ND 3.0","free_to_read"],"rights_urls":["https://purl.org/coar/access_right/c_abf2","https://creativecommons.org/licenses/by-nc-nd/3.0/au/"],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["https://doi.org/10.26190/unsworks/22531"],"render_values":[{"text":"https://doi.org/10.26190/unsworks/22531","href":"https://doi.org/10.26190/unsworks/22531","code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/1959.4/70866","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Shen, Wei"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2021"]},{"key":"dc:publisher","label":"Institution","values":["UNSW, Sydney"]},{"key":"dc:type","label":"Dc Type","values":["doctoral thesis","http://purl.org/coar/resource_type/c_db06"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Low-carbon transmission","Renewal energy integration"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["EN"]},{"key":"dc:rights","label":"Dc Rights","values":["open access","https://purl.org/coar/access_right/c_abf2","CC BY-NC-ND 3.0","https://creativecommons.org/licenses/by-nc-nd/3.0/au/","free_to_read"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/1959.4/70866","https://unsworks.unsw.edu.au/bitstreams/b0c293c0-180c-4027-bca8-899dbb0744fe/download","https://doi.org/10.26190/unsworks/22531"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Modern electricity systems are changed by the following factors: the development of emerging technologies including renewable energy, carbon capture, power electronics devices, the participation of the demand side in the electricity market; the retirement of aging coal-fired power plants (CFPP); and the implementation of carbon policies. Under the pressure of these changes, transmission systems require augmentations and upgrades to achieve operation safety and reliability requirements. New electricity network planning methods need to be developed to address the above changes. In this research study, the traditional transmission expansion planning (TEP) methods have been improved to adapt to the above changes from three aspects, namely economics, risks, and carbon emissions. To reduce the cost of planning, non-network solutions are coordinated in the TEP model. In terms of the low-carbon transformation: the TEP model is used for considering the CFPP retrofit with post-combustion carbon capture (PCC); while CFPP retirement and replacement models are proposed for aging CFPP. The Pareto optimality of aging CFPP retirement and replacement among three conflicting objectives including carbon emissions, total expenditure, and the operation risks are solved. Moreover, the effect of carbon policies including the carbon tax and carbon trading on TEP are tested. To address the reliability issues, a probability reliability assessment method, a renewable ramping cost model, and a novel risk index are developed to assess the risk in the power systems considering the large integration of renewable energy. The effectiveness of the proposed planning methods has been demonstrated in a few benchmark test systems. Simulations have been used to assess the efficiencies and advantages of each approach. This research study can be used to guide the low- carbon transformation of the electricity systems and it can give suggestions to system planners, power generation companies, and policy makers."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Low-carbon reliable transmission expansion planning with large-scale renewable energy integration."]}]}],"canonical_facts":{"dc:creator":["Shen, Wei"],"dc:date":["2021"],"dc:description":["Modern electricity systems are changed by the following factors: the development of emerging technologies including renewable energy, carbon capture, power electronics devices, the participation of the demand side in the electricity market; the retirement of aging coal-fired power plants (CFPP); and the implementation of carbon policies. Under the pressure of these changes, transmission systems require augmentations and upgrades to achieve operation safety and reliability requirements. New electricity network planning methods need to be developed to address the above changes. In this research study, the traditional transmission expansion planning (TEP) methods have been improved to adapt to the above changes from three aspects, namely economics, risks, and carbon emissions. To reduce the cost of planning, non-network solutions are coordinated in the TEP model. In terms of the low-carbon transformation: the TEP model is used for considering the CFPP retrofit with post-combustion carbon capture (PCC); while CFPP retirement and replacement models are proposed for aging CFPP. The Pareto optimality of aging CFPP retirement and replacement among three conflicting objectives including carbon emissions, total expenditure, and the operation risks are solved. Moreover, the effect of carbon policies including the carbon tax and carbon trading on TEP are tested. To address the reliability issues, a probability reliability assessment method, a renewable ramping cost model, and a novel risk index are developed to assess the risk in the power systems considering the large integration of renewable energy. The effectiveness of the proposed planning methods has been demonstrated in a few benchmark test systems. Simulations have been used to assess the efficiencies and advantages of each approach. This research study can be used to guide the low- carbon transformation of the electricity systems and it can give suggestions to system planners, power generation companies, and policy makers."],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/1959.4/70866","https://unsworks.unsw.edu.au/bitstreams/b0c293c0-180c-4027-bca8-899dbb0744fe/download","https://doi.org/10.26190/unsworks/22531"],"dc:language":["EN"],"dc:publisher":["UNSW, Sydney"],"dc:rights":["open access","https://purl.org/coar/access_right/c_abf2","CC BY-NC-ND 3.0","https://creativecommons.org/licenses/by-nc-nd/3.0/au/","free_to_read"],"dc:subject":["Low-carbon transmission","Renewal energy integration"],"dc:title":["Low-carbon reliable transmission expansion planning with large-scale renewable energy integration."],"dc:type":["doctoral thesis","http://purl.org/coar/resource_type/c_db06"]},"updated_at":"2026-07-24T05:34:19Z"}