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/

Zendy Plus

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

Zendy Tools

Zendy Open

This paper presents a simple method to simultaneously tune Flexible AC Transmission Systems (FACTS) in multimachine power systems. The proposed approach employs Genetic Algorithms (GA) and particle Swarm Optimization (PSO). The objective is to maximise the minimum damping ratios, subject to all combinations of their locations. The proposed approach has been examined and tested on the 2-area, 4-machine system which is close to realistic interconnected power systems model. The results are promising and show the effectiveness and robustness of the proposed approach. Keywords—Static Var Compensator, Genetic Algorithms, Particle Swarm Optimization, multimachine power systems.

Application of meta-heuristic methods to robust FACTS controllers design