Desain Mixed-Interger Distributed Ant Colony Optimization (MIDACO) untuk Membandingkan Tanpa Peredam dan Dengan Peredam di Single Tuned Pasif Filter

Abstract

In the era of advancing technology, the challenges in maintaining the quality and reliability of electricity supply are becoming increasingly complex, primarily due to harmonic distortion from non-linear electronic equipment. This harmonic distortion has the potential to reduce energy efficiency and cause significant losses. To address this issue, this research proposes the design of both undamped and damped single-tuned passive filters using Mixed-Integer Distributed Ant Colony Optimization (MIDACO) to optimize the design strategy of single-tuned passive filters by investigating five main criteria: minimizing power losses, maximizing power factor, minimizing harmonic distortion, maximizing transmission efficiency, and determining optimal filter location. The effectiveness of the proposed approach is applied to the IEEE-33 standard test system, where the obtained results are compared between undamped and damped filters. . Simulation results validate that Mixed-Integer Distributed Ant Colony Optimization (MIDACO) can reduce power losses significantly by 3,718kW, reduce ITHD by 27.73% on Bus 8, 26.60% on Bus 25, 30.94% on Bus 30, increasing the power factor by 19.39 % and increasing the transmission efficiency by 2.1% for each IEEE-33 bus test system. The analysis finds that Mixed-Integer Distributed Ant Colony Optimization (MIDACO) is an effective tool for optimizing the design of single-tuned passive filters, both damped and undamped, in efforts to mitigate harmonic distortion in distribution systems with high non-linear loads.