Advanced load balancing techniques using MIMO fuzzy logic: A panel distribution case study at state polytechnic of
Ika Noer Syamsiana1, Harry Hassidiqi1, Wijaya Kusuma1
1Department of Electrical Engineering, State Polytechnic of Malang, Malang, 65141, East Java, Indonesia.
Methodsx
|February 26, 2025
Summary
This study effectively reduced electrical load imbalance from 30.86% to 5.59% using the Sugeno fuzzy logic method. This improves power distribution system efficiency and equipment lifespan.
Area of Science:
- Electrical Engineering
- Control Systems
Background:
- Load imbalance in electrical distribution systems poses risks to stability, reliability, and safety.
- Unbalanced loads can cause equipment overheating, reduced operational life, and potential power outages.
Purpose of the Study:
- To improve the efficiency, reliability, and scalability of power distribution systems.
- To maximize the utilization of electrical equipment through intelligent load balancing.
- To enable adaptive decision-making processes in power management.
Main Methods:
- Utilized a multi-input multi-output (MIMO) fuzzy logic system with a 3x3x3 rule-base matrix.
- Employed the Sugeno Fuzzy Logic method for its computational efficiency and straightforward mathematical functions.
- Implemented load balancing techniques to mitigate system unbalance.
Main Results:
- Successfully reduced initial load imbalance from 30.86% to 5.59%.
- Achieved load balancing results well within the IEEE std 446-1995 standard (5-20% maximum imbalance).
Conclusions:
- The Sugeno fuzzy logic method is effective for managing electrical load imbalance.
- The implemented approach enhances system performance and extends equipment longevity.
- This research contributes to more intelligent and adaptive power distribution management.
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