Dedy Kurnia Setiawan
(Staf pengajar Jurusan Teknik Elektro, Fakultas Teknik, Universitas Jember).
ABSTRACT:This paper proposes an improved control strategy for a four-leg inverter in a transformerless hybrid power system (HPS). The system consists of two sources, namely diesel generator and battery. The load is characterized by unbalanced and high fluctuations. The objective of control system is to balance the voltage and current of diesel generators output. The improvement of control strategy is based on diagonal recurrent neural network (DRNN). First, the mathematical model of the inverter is obtained by using the average technique, which allows converter systems to be rapidly and accurately simulated. Then, use DRNN control strategy which based on the decomposition of voltage and current outputs of three phase inverter into instantaneous positive, negative and zero sequence components. Simulation results show the current unbalance of diesel generator is decreased from 35.79 % to 5.70 % and voltage unbalance is decreased from 6.36 % to 1.55 %.
Keywords: four-leg inverter, hybrid power system, unbalenced load, symetrical component, synchronous reference frame, CBPWM
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