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| 生物质气化与废弃物焚烧联合发电系统智能优化 | |
| 引用本文： | 李娜,马晓茜,廖艳芬. 生物质气化与废弃物焚烧联合发电系统智能优化[J]. 可再生能源, 2006, 0(6): 38-42 |
| 作者姓名： | 李娜 马晓茜 廖艳芬 |
| 作者单位： | 华南理工大学,电力学院,广东,广州,510640 |
| 基金项目： | 广东省自然科学基金;粤港关键领域重点突破项目 |
| 摘 要： | 从系统能量分配和平衡的角度,简化了生物质气化与废弃物焚烧联合发电系统的数学模型.简要介绍了非线性规划和遗传算法的基本原理,并用这2种算法对该联合循环发电系统的目标函数进行智能寻优.运行结果表明：基于Matlab平台的非线性规划和遗传算法有共同的优点,都可以避免繁重的编程工作.与非线性规划理论相比,遗传算法具有较好的寻优搜索能力和直观性. |
| 关 键 词： | 非线性规划 遗传算法 发电系统 优化 |
| 文章编号： | 1671-5292（2006）06-0038-05 |
| 收稿时间： | 2005-11-09 |
| 修稿时间： | 2005-11-09 |
Intelligent optimization on biomass gasification and waste incineration combined power generation system |
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| LI Na,MA Xiao-qian,LIAO Yan-fen. Intelligent optimization on biomass gasification and waste incineration combined power generation system[J]. Renewable Energy(China), 2006, 0(6): 38-42 | |
| Authors: | LI Na MA Xiao-qian LIAO Yan-fen |
| Abstract: | In the view of the distribution and balance of energy, mathematic model of biomass gasification and waste incineration combined power generation system was simplified in this paper. The non-linear regular theory and genetic algorithm was briefly introduced and applied for optimization. The results show that these two methods based on Matlab software have common advantage of avoiding complex program editting. The genetic algorithm has better capacity for searching optimization and observability than the non-linear regular theory. |
| Keywords: | non-linear regular theory genetic algorithm power generation system optimization |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |