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Sensitivity Analysis in Structured Optimization Problems Methods and Applications to Power Systems Models.
Sensitivity Analysis in Structured Optimization Problems Methods and Applications to Power Systems Models.
상세정보
- 자료유형
- 학위논문
- Control Number
- 0017161488
- International Standard Book Number
- 9798382233451
- Dewey Decimal Classification Number
- 620
- Main Entry-Personal Name
- Fuentes Valenzuela, Lucas.
- Publication, Distribution, etc. (Imprint
- [S.l.] : Stanford University., 2024
- Publication, Distribution, etc. (Imprint
- Ann Arbor : ProQuest Dissertations & Theses, 2024
- Physical Description
- 93 p.
- General Note
- Source: Dissertations Abstracts International, Volume: 85-11, Section: B.
- General Note
- Advisor: Marco Pavone.
- Dissertation Note
- Thesis (Ph.D.)--Stanford University, 2024.
- Summary, Etc.
- 요약This work presents developments in differentiable optimization, with applications to the computation of marginal emissions in power system models. First, we discuss how recent results in differentiable optimization can be used readily to compute any emissions sensitivity metric (including marginal emissions) in optimization-based models. Second, we develop a general decentralized scheme for differentiation of graph-structured optimization problems. The methodology is efficient and can be made fully distributed, with convergence guarantees. Finally, we come full circle and illustrate the benefits of the decentralized framework in the computation of marginal emission factors. Using historical data, we demonstrate how the proposed approach allows for efficient computation of marginal emissions in large network models.
- Subject Added Entry-Topical Term
- Engineering.
- Subject Added Entry-Topical Term
- Electrical engineering.
- Index Term-Uncontrolled
- Structured optimization problems
- Index Term-Uncontrolled
- Power system models
- Index Term-Uncontrolled
- Marginal emissions
- Index Term-Uncontrolled
- Differentiable optimization
- Added Entry-Corporate Name
- Stanford University.
- Host Item Entry
- Dissertations Abstracts International. 85-11B.
- Electronic Location and Access
- 로그인을 한후 보실 수 있는 자료입니다.
- Control Number
- joongbu:658229
MARC
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■0820 ▼a620
■1001 ▼aFuentes Valenzuela, Lucas.
■24510▼aSensitivity Analysis in Structured Optimization Problems Methods and Applications to Power Systems Models.
■260 ▼a[S.l.]▼bStanford University. ▼c2024
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2024
■300 ▼a93 p.
■500 ▼aSource: Dissertations Abstracts International, Volume: 85-11, Section: B.
■500 ▼aAdvisor: Marco Pavone.
■5021 ▼aThesis (Ph.D.)--Stanford University, 2024.
■520 ▼aThis work presents developments in differentiable optimization, with applications to the computation of marginal emissions in power system models. First, we discuss how recent results in differentiable optimization can be used readily to compute any emissions sensitivity metric (including marginal emissions) in optimization-based models. Second, we develop a general decentralized scheme for differentiation of graph-structured optimization problems. The methodology is efficient and can be made fully distributed, with convergence guarantees. Finally, we come full circle and illustrate the benefits of the decentralized framework in the computation of marginal emission factors. Using historical data, we demonstrate how the proposed approach allows for efficient computation of marginal emissions in large network models.
■590 ▼aSchool code: 0212.
■650 4▼aEngineering.
■650 4▼aElectrical engineering.
■653 ▼aStructured optimization problems
■653 ▼aPower system models
■653 ▼aMarginal emissions
■653 ▼aDifferentiable optimization
■690 ▼a0544
■690 ▼a0537
■71020▼aStanford University.
■7730 ▼tDissertations Abstracts International▼g85-11B.
■790 ▼a0212
■791 ▼aPh.D.
■792 ▼a2024
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17161488▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
