Enhancement of Cascaded Multi-Level VSC STATCOM Performance using ANN in the Presence of Faults

Mohamad M Almelian, Izzeldin I Mohd, Abu Zaharin Ahmad, Mohamed A Omran, Mohamed Salem, Awang Jusoh, T. Sutikno

Abstract


The stability of the system is disturbed, when a number of loads are connected at distribution ends or when the power system is subjected to the fault. FACTS devices such as static synchronous compensator (STATCOM) are capable of retrieving the system to a stable state. This paper deals with the design and implementation of a cascaded three-level voltage source converter (VSC) STATCOM with a new scheme of space vector pulse width modulation (SVPWM). Artificial neural network (ANN) controller has been employed instead of Proportional-Integral (PI) controller to enhance response time (RT) and performance of STATCOM with regard to the improvement of voltage magnitude and power factor (PF) amplitude during the period of voltage sag. The voltage sag was created by two different types of faults which are single line to ground (SLG) fault and line to line (LL) fault. The performance of STATCOM with these disturbances is tested using MATLAB in IEEE 3-bus system. The simulation results clearly indicated that the ANN controller acts effectively compared with PI, where ANN able to recover voltage value very rapidly (less than 1 cycle) with unity PF.



DOI: http://doi.org/10.11591/ijpeds.v11.i2.pp%25p
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