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

The charging processes of a large number of electric vehicles (EVs) requirecoordination and control for the alleviation of their impacts on thedistribution network and for the provision of various grid services. However,the scalability of existing EV charging control paradigms are limited by eitherthe number of EVs or the distribution network dimension, largely impairing EVs'aggregate service capability and applicability. To overcome the scalabilitybarrier, this paper, motivated by the optimal scheduling problem for thevalley-filling service, (1) proposes a novel dimension reduction methodology bygrouping EVs (primal decision variables) and establishing voltage (globalcoupled constraints) updating subsets for each EV group in the distributionnetwork and (2) develops a novel decentralized shrunken primal multi-dualsubgradient (SPMDS) optimization algorithm to solve this reduced-dimensionproblem. The proposed SPMDS-based control framework requires no communicationbetween EVs, reduces over 43% of the computational cost in the primalsubgradient update, and reduces up to 68% of the computational cost in the dualsubgradient update. The efficiency and efficacy of the proposed algorithm aredemonstrated through simulations over a modified IEEE 13-bus test feeder and amodified IEEE 123-bus test feeder.

Decentralized Electric Vehicle Charging Control via a Novel Shrunken Primal Multi-Dual Subgradient (SPMDS) Algorithm