CD Skripsi
Analisis Penyeimbang Beban Pada Transformator Distribusi Dengan Metode Fuzzy Logic
ABSTRACT
Load balancing in distribution transformers plays a crucial role in maintaining the efficiency of electrical power distribution systems. Imbalanced loads in transformers are a significant issue that can lead to energy losses, including the emergence of neutral currents in conductors. To address this problem, this study proposes the application of the Fuzzy Logic method using a Fuzzy Inference System (FIS) to balance the load on distribution transformers. The research utilizes load current data from the R, S, and T phases with an imbalance level exceeding 25%, modeled using Fuzzy membership functions. The input variables are the currents of each phase, while the output variable is the correction of current values to achieve load balance. The data processing involves fuzzification, Fuzzy inference, and defuzzification stages. The analysis results indicate that this method effectively reduces the phase current imbalance from 28.19% (neutral current of 97,94- 147,93° Ampere) to 0,03% (neutral current of 0,13-0,019° Ampere) in one of the tested transformer cases. These results comply with SPLN 017 (2014) standards. Additionally, the significant reduction in neutral current positively impacts the reduction of power losses in the distribution system.
Keywords: Distribution Transformer, Load Balancing, Fuzzy Logic
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