Improved Voltage Stability Using D-STATCOM via TLBO Algorithm-based Fuzzy Controllers

This paper studies a distribution static synchronous compensator (D-STATCOM) with different controllers employed in order to improve the transient stability in a distribution system. D-STATCOM control strategy plays an important role in improving the damping of the system. In this study, the DSTATCOM control system with two conventional PI and self-tuning fuzzy PI controllers is designed. Also, to have a better performance of the self-tuning fuzzy PI controller, input and output scales are optimized by a teaching-learning-based optimization (TLBO) algorithm. Simulation of a D-STATCOM including ±3 MVar reactive power over a 25 kV distribution system is done in MATLAB / SIMULINK software. Finally, controllers are evaluated by comparing their performance with each other. It is observed that the self-tuning fuzzy PI controller is more effective in improving transient stability than the conventional PI controller as well as optimization of the fuzzy PI controller will improve its performance

کلیدواژه ها:

teaching-learning-based optimization (TLBO) algorithm ، distribution static synchronous compensator (D-STATCOM) ، self-tuning fuzzy PI controller ، system stability