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Fuzzy logic-based load balancing for voltage symmetry in distribution networks

Saleem, AdeelIlkhombek Khosiljonovich, KholiddinovMutalibjon Qizi, Kholiddinova MashkhurakhonMutalibjon Qizi, Begmatova MukhlisakhonMirzokhid, Sharobiddinov
Indonesian Journal of Electrical Engineering and Computer Science (Sinta 1)Vol. 41 No. 1 (2026)10 Maret 2026
DOI10.11591/ijeecs.v41.i3.pp873-884

Abstrak

This paper introduces a load balancing approach based on fuzzy logic to enhance the efficiency of power distribution networks. The unbalance of voltages and an unequal load of the phases continue to be the problematic situation of the low-voltage distribution networks, particularly as the percentage of photovoltaic (PV) systems is growing. The results of such conditions include a deviation of voltage, higher losses of power, faster equipment aging, and lower power quality. This paper proposes a fuzzy logic–based phase load balancing approach that explicitly integrates voltage symmetry requirements defined by the GOST 13109-97 power quality standard. Unlike optimization-based and heuristic methods, the proposed fuzzy logic controller (FLC) redistributes phase currents using linguistic rules derived from voltage unbalance coefficients and phase current conditions, without iterative optimization procedures. Simulation results obtained in MATLAB/Simulink demonstrate a reduction of the voltage unbalance factor (VUF) by approximately 25–30% and a decrease in active power losses by 12–15% compared to the initial unbalanced operating state. The proposed method offers low computational complexity, fast response, and high interpret-ability, making it suitable for real-time implementation in smart distribution networks with distributed PV generation.

Kata Kunci

Electrical(Power)ElectronicsInstrument and controlAsymmetrical loadDistribution systemFuzzy logicMembership functionPower qualityVoltage imbalance

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Fuzzy logic-based load balancing for voltage symmetry in distribution networks | Indonesian Journal of Electrical Engineering and Computer Science | Publiora