عنوان مقاله:

نویسندگان:

وحید پیشاهنگ، بهمن بهمنی فیروزی

The capacitor placement problem focuses on identifying optimal locations and sizes of capacitors in power distribution networks to reduce power losses, operational costs and improve voltage profiles. Given that a significant portion of power losses occur in distribution systems, optimizing capacitor placement is crucial for efficiency and cost reduction. This study applies to an improved Flower Pollination Algorithm (FPA) to solve this problem in radial distribution networks. The enhanced FPA incorporates Monte Carlo randomization and dynamic switching probability to improve search efficiency. Simulations were conducted on 33-bus, 34-bus, and 69-bus distribution networks to evaluate the algorithm’s effectiveness. The results indicate that the proposed method significantly reduces power losses and improves voltage stability compared to conventional approaches. In the 33-bus system, losses decreased by 34.9%, while the minimum voltage improved from 0.9089 p.u. to 0.9308 p.u. Similarly, in the 34-bus and 69-bus networks, power losses were reduced by 28.2% and 35.4%, respectively, with notable voltage profile improvements. Comparisons with other methods confirm that the improved FPA outperforms other techniques, achieving an additional 5-10% reduction in power losses. These results highlight the effectiveness of the proposed algorithm for capacitor placement optimization in radial distribution networks.

Capacitor placement, Distribution networks, Flower pollination algorithm, Monte Carlo randomization

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پیشاهنگ، وحید، بهمنی فیروزی، بهمن، 1404، مکان یابی بهینه خازن در شبکه‌های توزیع شعاعی به وسیله الگوریتم بهبود یافته گرده افشانی گل‌ها جهت کاهش هزینه ی تلفات و هزینه خازن گذاری، بیست و یکمین کنفرانس ملی دانشجویی مهندسی برق ایران، https://conference.uok.ac.ir/fa/archive_index.php?c=HN-iscee21&aid=1517968