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

In smart power grids, keeping the synchronicity of generators and thecorresponding controls is of great importance. To do so, a simple model isemployed in terms of swing equation to represent the interactions amongdynamics of generators and feedback control. In case of having a communicationnetwork available, the control can be done based on the transmittedmeasurements by the communication network. The stability of system is denotedby the largest eigenvalue of the weighted sum of the Laplacian matrices of thecommunication infrastructure and power network. In this work, we use graphtheory to model the communication network as a graph problem. Then, Ant ColonySystem (ACS) is employed for optimum design of above graph for synchronizationof power grids. Performance evaluation of the proposed method for the 39-busNew England power system versus methods such as exhaustive search and Rayleighquotient approximation indicates feasibility and effectiveness of our methodfor even large scale smart power grids.

Toward Smart Power Grids: Communication Network Design for Power Grids Synchronization