Wind turbine participation in micro-grid frequency control through self-tuning, adaptive fuzzy droop in de-loaded area

Ahmadreza Abazari, Mehdi Ghazavi Dozein, Hassan Monsef, Bin Wu

Research output: Contribution to journalArticleResearchpeer-review

26 Citations (Scopus)

Abstract

The purpose of this research is to present an innovative load frequency control in the presence of wind turbines in islanded micro-grid (MG). As islanded MG suffers from low inertia and insufficient primary frequency response (PFR), utilising the variable wind turbines in de-loaded area can be considered as an alternative solution to deal with frequency control problems. In this context, the de-load area is referred to a region where wind turbines release their stored kinetic energy in rotational masses following frequency disturbances. For effective utilisation of wind turbines, a self-tuning, adaptive fuzzy droop is proposed, whose membership function parameters are optimised through artificial bee colony algorithm based on a multiobjective decision making process. A comparison is made between the obtained results of the self-tuning, adaptive fuzzy droop with conventional proportional integral derivative droop control in order to assess the proposed method performance in different disturbances.

Original languageEnglish
Pages (from-to)301-308
Number of pages8
JournalIET Smart Grid
Volume2
Issue number2
DOIs
Publication statusPublished - Jun 2019
Externally publishedYes

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