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 an improved secondary voltage control (SVC) methodologyincorporating compressive sensing (CS) for a multi-area power system. SVCminimizes the voltage deviation of the load buses while CS deals with theproblem of the limited bandwidth capacity of the communication channel byreducing the size of massive data output from phasor measurement unit (PMU)based monitoring system. The proposed strategy further incorporates theapplication of a Morphological Median Filter (MMF) to reduce noise from theoutput of the PMUs. To keep the control area secure and protected locally,Mathematical Singular Entropy (MSE) based fault identification approach isutilized for fast discovery of faults in the control area. Simulation resultswith 27-bus and 486-bus power systems show that CS can reduce the data size upto 1/10th while the MSE based fault identification technique can accuratelydistinguish between fault and steady state conditions.

Compressive Sensing and Morphology Singular Entropy-Based Real-time Secondary Voltage Control of Multi-area Power Systems