English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Unit Commitment (UC) is a fundamental problem in power system operations.When coupled with generation maintenance, the joint optimization problem posessignificant computational challenges due to coupling constraints linkingmaintenance and UC decisions. Obviously, these challenges grow with the size ofthe network. With the introduction of sensors for monitoring generator healthand condition-based maintenance(CBM), these challenges have been magnified.ADMM-based decentralized methods have shown promise in solving large-scale UCproblems, especially in vertically integrated power systems. However, in theircurrent form, these methods fail to deliver similar computational performanceand scalability when considering the joint UC and CBM problem.  This paper provides a novel decentralized optimization framework for solvinglarge-scale, joint UC and CBM problems. Our approach relies on the novel use ofthe subgradient method to temporally decouple various subproblems of theADMM-based formulation of the joint problem along the maintenance horizon. Byeffectively utilizing multithreading, our decentralized subgradient approachdelivers superior computational performance and eliminates the need to movesensor data thereby alleviating privacy and security concerns. Usingexperiments on large scale test cases, we show that our framework can provide aspeedup of upto 50x as compared to various state of the art benchmarks withoutcompromising on solution quality.

Large-Scale Maintenance and Unit Commitment: A Decentralized Subgradient Approach