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 Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

This paper presents a robust Interval type-2 Fuzzy Proportional Integral Derivative (IT2FPID)-based Power System Stabiliser (PSS) to lessen low-frequency oscillations (LFOs) in the power system with Solar Photovoltaic (SPV) systems. Uncertainties in the power system do not allow the PSS to function at its maximum capacity and also have adverse impacts on dynamic stability. The proposed ITFPID-PSS can easily handle the uncertainties of load and PV systems in Single Machine Infinite Bus (SMIB) and Multimachine Power System (MMPS) due to its unique shape of its membership function. The gains of the proposed IT2FPID-PSS are optimised using Jaya algorithm. The performance of the proposed controller is evaluated under different operating conditions and also compared with the conventional PSS. Both graphical and comparative investigations suggest the superiority of the proposed Jaya algorithm-optimised IT2FPID-PSS over CSA-optimised IT2FPID-PSS and FA-optimised IT2FPID-PSS under various operating conditions and load disturbances.

An optimised Interval type-2 fuzzy PID-based PSS for stability improvement in solar-PV integrated power system considering uncertainties