Abstract
The conventional integral controller is widely utilized for active and reactive power control in a voltage converter. Previous studies show that the integral controller with a fixed gain is not able to easily reconcile to the instability of various variables, disturbances, and power changes, especially in a large microgrid. In the present research, a new online adjustment algorithm for integral controllers is suggested and implemented in the microgrid system. PSO algorithm has been used to optimize the control variables, and then, using fuzzy logic, it deals with the validity of the control system performance. In other words, for active and reactive power control, PI controllers have been designed and for VSC operation the pulse generation has been considered. The PI parameters have been tuned using PSO and fuzzy logic online and the performance of the proposed system in various operating modes has been analyzed. The output of this system is an evaluation signal for automatic adjustment of the gain of the integral controller. The developed control structure, named the self-tuning integral controller, has been implemented in the microgrid with different numbers, the presence of DGs and different operating modes with various values, and the simulation outcomes are shown in comparison with the conventional integral controller. The results of this study prove the proposed algorithm’s effectiveness and show that the convergence time and power fluctuations are reduced, etc., especially in the presence of a large number of distributed generation sources. Also, the number of unwanted harmonics was significantly reduced. In this research, MATLAB/Simulink software was utilized to simulate and check the performance of the microgrid.
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Zhang, B. Self-tuning PI controller using PSO algorithm to control active and reactive power of VSCs in microgrids. Int. J. Dynam. Control (2024). https://doi.org/10.1007/s40435-024-01414-7
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DOI: https://doi.org/10.1007/s40435-024-01414-7