首页|基于智能算法的600 MW空冷机组冷端技术优化探析

基于智能算法的600 MW空冷机组冷端技术优化探析

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通过分析600 MW空冷机组的历史运行数据,构建BP神经网络算法模型,对冷端技术进行优化分析,评估智能算法在优化过程中的有效性,最终实现了对空冷机组冷端技术的优化,量化了优化后的经济效益,展示了智能算法在提升大型电力设施运行效率和经济效益方面的巨大潜力.
Optimization of Cold End Technology of 600 MW Air-Cooled Unit Based on Intelligent Algorithm
By analyzing the historical operation data of 600 MW air-cooled units,constructing a BP neural network algorithm model,optimizing the cold-end technology,and evaluating the effectiveness of the intelligent algorithm in the optimization process,the optimization of cold-end technology of air-cooled units is finally realized,and the economic benefits after the optimization are quantified,which demonstrates the great potential of intelligent algorithms to improve the operation efficiency and economic benefits of large power facilities.

intelligent algorithmair-cooled unittechnology optimization660 MW

李晓辉、王蒙闯

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国能河北龙山发电有限责任公司,河北 邯郸 056400

智能算法 空冷机组 技术优化 660 MW

2024

现代工业经济和信息化

现代工业经济和信息化

影响因子:0.485
ISSN:
年,卷(期):2024.14(4)
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