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Resilient Capacity Expansion Planning for Power Grids in a Changing Climate
Resilient Capacity Expansion Planning for Power Grids in a Changing Climate
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20260311091542.5
- ISBN
- 9798270232245
- DDC
- 551
- 저자명
- Sahin, Berk
- 서명/저자
- Resilient Capacity Expansion Planning for Power Grids in a Changing Climate / Berk Sahin
- 발행사항
- [Sl] : The University of Texas at Austin, 2025
- 형태사항
- 1 electronic resource (174 pages)
- 주기사항
- Source: Dissertations Abstracts International, Volume: 87-06, Section: B.
- 주기사항
- Advisors: Kutanoglu, Erhan Committee members: Bard, Jonathan; Hasenbein, John J.; Staid, Andrea.
- 학위논문주기
- - Ph.D. : The University of Texas at Austin, 2025.
- 초록/해제
- 요약Extreme weather events such as floods and heat waves have a significant impact on the operation of the power grid. These events may damage grid resources such as lines and generators, hindering power flow and disrupting service to demand locations. While performance during extreme weather events highlights the importance of grid resilience, evolving grid needs with population growth and electrification necessitate proactive expansion of the grid. Moreover, climate change affects the frequency and intensity of extreme weather events, which may change the economics of long-term expansion and resilience investments. Therefore, considering the resilience aspects of the grid, i.e., performance during extreme events, becomes essential while expanding the grid capacity and preparing the grid for future climate. In this research, we derive insights into the resilience of power grids and develop models and algorithms to make optimal capacity expansion decisions aimed at meeting the future needs of the grid while enhancing its resilience. We use mathematical optimization, specifically scenario-based stochastic programming and multi-stage programming, to address these questions. We test the proposed models developing test cases that use realistic synthetic grids representative of Texas and hurricane-induced flooding, heat waves, and windstorms as extreme weather events to provide insights from our research findings.
- 언어주기
- English
- 일반주제명
- Remote sensing
- 일반주제명
- Environmental science
- 일반주제명
- Climate change
- 키워드
- Heat waves
- 키워드
- Power grid
- 키워드
- Hurricane
- 기타저자
- The University of Texas at Austin Mechanical Engineering
- 기본자료저록
- Dissertations Abstracts International. 87-06B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■006m o d
■007cr|nu||||||||
■020 ▼a9798270232245
■040 ▼aMiAaPQD▼beng▼cMiAaPQD▼erda
■082 ▼a551
■1001 ▼aSahin, Berk▼eauthor.
■24510▼aResilient Capacity Expansion Planning for Power Grids in a Changing Climate ▼cBerk Sahin
■260 ▼a[Sl]▼bThe University of Texas at Austin▼c2025
■264 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2025
■300 ▼a1 electronic resource (174 pages)
■336 ▼atext▼btxt▼2rdacontent
■337 ▼acomputer▼bc▼2rdamedia
■338 ▼aonline resource▼bcr▼2rdacarrier
■500 ▼aSource: Dissertations Abstracts International, Volume: 87-06, Section: B.
■500 ▼aAdvisors: Kutanoglu, Erhan Committee members: Bard, Jonathan; Hasenbein, John J.; Staid, Andrea.
■5021 ▼bPh.D.▼cThe University of Texas at Austin▼d2025.
■520 ▼aExtreme weather events such as floods and heat waves have a significant impact on the operation of the power grid. These events may damage grid resources such as lines and generators, hindering power flow and disrupting service to demand locations. While performance during extreme weather events highlights the importance of grid resilience, evolving grid needs with population growth and electrification necessitate proactive expansion of the grid. Moreover, climate change affects the frequency and intensity of extreme weather events, which may change the economics of long-term expansion and resilience investments. Therefore, considering the resilience aspects of the grid, i.e., performance during extreme events, becomes essential while expanding the grid capacity and preparing the grid for future climate. In this research, we derive insights into the resilience of power grids and develop models and algorithms to make optimal capacity expansion decisions aimed at meeting the future needs of the grid while enhancing its resilience. We use mathematical optimization, specifically scenario-based stochastic programming and multi-stage programming, to address these questions. We test the proposed models developing test cases that use realistic synthetic grids representative of Texas and hurricane-induced flooding, heat waves, and windstorms as extreme weather events to provide insights from our research findings.
■546 ▼aEnglish
■590 ▼aSchool code: 0227
■650 4▼aRemote sensing
■650 4▼aEnvironmental science
■650 4▼aClimate change
■653 ▼aExtreme weather events
■653 ▼aHeat waves
■653 ▼aPower grid
■653 ▼aHurricane
■7102 ▼aThe University of Texas at Austin▼bMechanical Engineering.▼edegree granting institution.
■7201 ▼aKutanoglu, Erhan▼edegree supervisor.
■7730 ▼tDissertations Abstracts International▼g87-06B.
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17361221▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
