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  

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Control Number  

joongbu:658229