基于混沌蝙蝠算法的150kV马哈坎电力系统动态经济调度

2017 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2017-08-01 DOI:10.1109/ISITIA.2017.8124065

Yun Tonce Kusuma Priyanto, M. Maulana, A. Giyantara

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引用次数: 1

摘要

提出了一种求解动态经济调度问题的混沌蝙蝠算法。考虑4小时内各种负荷，以每小时发电总成本最小为重点来解决DED问题。为验证所提方法的有效性，以东加里曼丹的150 kV Mahakam电力系统为例，与蝙蝠算法和粒子群算法进行了比较。结果表明，与其他方法相比，该方法具有较好的可靠性。

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Dynamic economic dispatch using chaotic bat algorithm on 150kV Mahakam power system

This paper presents chaotic bat algorithm to solve dynamic economic dispatch (DED) problem. Various load in 4 hours considering to solve the DED problem which focused on minimizing the total cost of generation power in each hour. To demonstrate the effectiveness of the proposed method, the DED problem performed on 150 kV Mahakam power system on East Kalimantan and compared with bat algorithm and particle swarm optimization. The result shows the proposed method provide a good and reliable result compared to the other method used in this paper.

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2017 International Seminar on Intelligent Technology and Its Applications (ISITIA)

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