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

Frequency control is the key factor in a renewable energy-based microgrid system. The inherent dynamics and low inertia of most power generating units of microgrids lead to frequency oscillations in the system. This manuscript well addresses on a robust fuzzy adaptive Fractional Order-PID (fuzzy FO-PID) controller and this is used in an AC microgrid model for achieving frequency control under various disturbances. Since a microgrid is devised with a lot of low inertia and large dynamics-based power-generating units, conventional controllers are found to be inferior while controlling the frequency of a microgrid. In the light of this, this work employs a robust fuzzy adaptive Fractional Order-PID controller to achieve improved frequency performance in the microgrid. The proposed fuzzy FO-PID controller acts as a secondary frequency control loop to amend necessary control actions over vibrant frequency under different uncertainties like load dynamics, wind fluctuation and solar intensity variation. The proposed controller is governed by a novel teaching–learning-based optimization (TLBO) technique to obtain optimal parameters under various disturbances. An assignment on a comparative study has been synthesised to justify the supremacy of the proposed TLBO algorithm in regard to the frequency control of a microgrid system.

A fuzzy adaptive fractional order-PID controller for frequency control of an islanded microgrid under stochastic wind/solar uncertainties