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

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

Blog Article

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 Compact Oven wh 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 Kitchen Knife self-tuning, adaptive fuzzy droop with conventional proportional integral derivative droop control in order to assess the proposed method performance in different disturbances.