Enhancing Virtual Synchronous Generator Control Using ANN Based Technique

The constant power failure in the country that had crippled business activities was caused by these factors that could not attain their respective thresholds, these factors were Frequency Deviation, Rate of Change of Frequency, Voltage Deviation, Active Power Tracking Error, Reactive Power Tracking Error, Settling Time, Rise Time Peak Overshoot and Steady-State Error. This persistent power failure was surmounted by introducing enhancing virtual synchronous generator control using ANN based technique. To perfectly achieve this, it was done in this way, virtual synchronous generator control was characterized and the causes of poor virtual synchronous generator control was established, conventional SIMULINK model for virtual synchronous generator control was designed and ANN was trained in the causes of poor virtual synchronous generator control. However, an algorithm that will implement the process was developed, a SIMULINK model for enhancing virtual synchronous generator control using ANN based technique was designed and the results obtained were validated and justified. The results obtained were the conventional frequency deviation that causes poor virtual synchronous generator control was 0.18Hz. because it could not attain the threshold of 0.2 Hz through 0.5 Hz. Meanwhile, when an ANN based technique was integrated into the system, it automatically increased by attaining the threshold 0.22Hz. and the conventional voltage deviation that causes poor virtual synchronous generator control was 6%. Meanwhile when an ANN based technique was integrated into the system, it spontaneously reduced to 5 %. Finally, with these results obtained, the percentage enhancement in virtual synchronous generator control when an ANN based technique was integrated into the system was 1%.

enhancing, virtual, synchronous, generator ,control, ANN, based, technique

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