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首页> 外文期刊>Electric Power Components and Systems >Artificial Bee Colony Algorithm for Economic Load Dispatch Problem with Non-smooth Cost Functions
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Artificial Bee Colony Algorithm for Economic Load Dispatch Problem with Non-smooth Cost Functions

机译：非光滑成本函数的经济负荷分配问题的人工蜂群算法

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摘要

With the depletion of coal and increasing fuel prices, a proper schedule of available generating units may save millions of dollars per year in production cost. In this article, the artificial bee colony algorithm and optimization technique based on the foraging behavior of honeybees is proposed for solving economic load dispatch problems with non-smooth cost functions exhibiting valve-point effect, prohibited operating zones, multiple fuel options, and ramp rate limits. The effectiveness of the proposed algorithm is demonstrated on test cases consisting of 10, 13, 15, and 40 generating units with non-linearities incorporated in their cost functions. The results of the proposed technique are compared with that of other techniques reported in the literature. The results substantiate that the proposed algorithm is capable of yielding quality solution.
机译：随着煤炭的枯竭和燃料价格的上涨，适当的可用发电机组时间表可以每年节省数百万美元的生产成本。本文提出了一种基于蜜蜂觅食行为的人工蜂群算法和优化技术，以解决非光滑成本函数表现出阀点效应，禁止工作区域，多种燃料选择和斜率的经济负荷分配问题。限制。在由10、13、15和40个发电单元组成的测试用例中证明了所提算法的有效性，其中非线性包含在其成本函数中。将所提出的技术的结果与文献中报道的其他技术的结果进行比较。结果证实了所提算法能够产生高质量的解。

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