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

Optimal power flow (OPF) is a very fundamental but vital optimization problemin the power system, which aims at solving a specific objective function (ex.:generator costs) while maintaining the system in the stable and safeoperations. In this paper, we adopted the start-of-the-art artificialintelligence (AI) techniques to train an agent aiming at solving the AC OPFproblem, where the nonlinear power balance equations are considered. Themodified IEEE-14 bus system were utilized to validate the proposed approach.The testing results showed a great potential of adopting AI techniques in thepower system operations.

Deriving AC OPF Solutions via Proximal Policy Optimization for Secure and Economic Grid Operation