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This paper employs the carnivorous plant growth-based optimization approach to optimize the maintenance scheduling of distribution transformers, encompassing inspection and overhaul tasks. The resulting maintenance schedule not only mitigates cost investments but also guarantees a reliable power supply. The study comprehensively incorporates maintenance costs and operational reliability, accounting for factors such as salt corrosion and insulation lifetime loss. Mathematical models are formulated with consideration of operational constraints, followed by the implementation of the proposed approach to achieve a schedule close to optimality. Validation of the method is conducted through both a sample system and a practical Taipower system with varying numbers of transformers. The test results confirm the feasibility of the proposed method for the considered application.

Enhancement of Maintenance Scheduling of Distribution Transformers Using Carnivorous Plant Algorithm Based Optimization Approach