期刊
IET SMART GRID
卷 2, 期 2, 页码 301-308出版社
WILEY
DOI: 10.1049/iet-stg.2018.0095
关键词
power generation faults; wind turbines; three-term control; frequency response; power generation control; decision making; voltage control; power grids; power system control; load regulation; distributed power generation; optimisation; wind power plants; power generation reliability; fuzzy control; frequency control; decentralised control; wind turbine participation; microgrid frequency control; adaptive fuzzy droop; de-loaded area; innovative load frequency control; islanded MG; insufficient primary frequency response; variable wind turbines; frequency control problems; de-load area; frequency disturbances; proportional integral derivative droop control; PFR
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 multi-objective 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.
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