access icon free Load frequency control by de-loaded wind farm using the optimal fuzzy-based PID droop controller

In this study, the authors represent a modelling to analyse and simulate renewable power generation for two area power systems in the presence of high penetrated wind farm. The performance of assumed power systems may hazard without appropriate frequency amelioration methodologies. To complete the LFC model for two area power systems, the combination of automatic generation control and automatic voltage regulation of thermal units is considered. Due to the decline in the total inertia of power system associated with wind farm contribution, the self-tuning and adaptive fuzzy-based PID droop can be proposed in the structure of wind turbines instead of the fixed/traditional PID droop in de-loaded area to ameliorate the frequency excursions. Besides, the artificial bee colony algorithm can tune the parameters of membership functions for input and output signals based on a multi-objective function (MOF). The proposed strategy control is proved to be accurately stable under various load changes and yields more satisfactory performance in comparison to the conventional PID droop. This research generally includes wind farm collaboration in the frequency control by inertia, primary and secondary frequency control.

Inspec keywords: voltage regulators; power system control; fuzzy control; load regulation; fuzzy set theory; frequency control; voltage control; optimisation; wind power plants; three-term control; power generation control; wind turbines

Other keywords: de-loaded wind farm; appropriate frequency amelioration methodologies; automatic generation control; wind farm collaboration; yields more satisfactory performance; renewable power generation; power system; load changes; conventional PID droop; LFC model; fixed/traditional PID droop; optimal fuzzy-based PID droop controller; automatic voltage regulation; de-loaded area; frequency excursions; wind turbines; area power systems; strategy control; wind farm contribution; load frequency control; secondary frequency control; assumed power systems; high penetrated wind farm

Subjects: Optimisation techniques; Control of electric power systems; Power system control; Wind power plants; Optimisation techniques

http://iet.metastore.ingenta.com/content/journals/10.1049/iet-rpg.2018.5392
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content/journals/10.1049/iet-rpg.2018.5392
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