| 燃煤电站锅炉优化配煤神经网络构建的研究 |
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| 引用本文： | 吴江,潘雷,潘卫国,任建兴,郑莆燕,刘莉,黄锦杰.燃煤电站锅炉优化配煤神经网络构建的研究[J].锅炉技术,2010,41(1). |
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| 作者姓名： | 吴江 潘雷 潘卫国 任建兴 郑莆燕 刘莉 黄锦杰 |
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| 作者单位： | 1. 上海电力学院,能源与环境工程学院,上海,200090
2. 华能广东分公司汕头电厂运行部,广州,汕头,515071 |
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| 基金项目： | 国家自然科学基金(50806041);;上海市“曙光计划”(08SG53);;上海市教委科研创新重点项目(09ZZ184);;上海市地方能力建设项目(09230501300);;上海高校本科高地建设项目资助 |
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| 摘 要： | 随着电力工业快速增长,煤的消耗量增加,配煤逐步成为燃煤电站锅炉的一种常态。由于煤种煤质的波动,配煤是一个在不确定的条件下的优化问题,传统的线性规划模型很难解决,而BP神经网络这一非线性优化工具已成功地应用于混煤煤质特性的预测模型。分析了不同BP神经网络模型的预测效果以及制约其预测效果的主要因素(网络结构、学习样本数量、隐层节点数、学习精度)并在此基础上构建了用于预测混合煤种低位发热量的BP神经网络,得到极高的预测精度,进行了3次实验误差分别为0.043 05%,0.038 05%,0.116 267%。同时利用穷举法对配煤进行优化选取。本神经网络的结构是由输入、输出样本的数据结构决定的,具有很强的通用性和拓展性。
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| 关 键 词： | BP神经网络 优化配煤 穷举法 |
Study on Construction and Predication of Neural Network in Coal-Blending in Coal-fired Power Station |
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| WU Jiang,PAN Lei,PAN Wei-guo,REN Jian-xing,ZHENG Pu-yan,LIU Li,HUANG Jin-jie.Study on Construction and Predication of Neural Network in Coal-Blending in Coal-fired Power Station[J].Boiler Technology,2010,41(1). |
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| Authors: | WU Jiang PAN Lei PAN Wei-guo REN Jian-xing ZHENG Pu-yan LIU Li HUANG Jin-jie |
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| Affiliation: | 1.School of Energy and Environmental Engineering;Shang University of Electric Power;Shanghai 200090;China;2.Huaneng Shantou Power Plant in Guangdong Branch of the Operation of Shantou;Shantou 515071;China |
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| Abstract: | Along with the rapid development of our country's industry,the factors in duce that the power plant combusts the single coal impossibly for a long time,which are the increase wastage of coal,the difficulty transportation,the asymmetric distributing of coal mine and the policy of nation about that power boiler combusts inferior coal,therefore,the power plant must combusts blended coal.As blending of coal-doped fluctuations,is a blending under conditions of uncertainty in the optimization problem.The traditio... |
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| Keywords: | BP neural network optimize the blending Law exhaustive |
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