|
|||||
|
|
| 基于PSO优化锅炉氮氧化物的排放 | |
| 引用本文： | 凡荣荣,姚翠兰,杨巨生,张永发,谢克昌.基于PSO优化锅炉氮氧化物的排放[J].热力发电,2012,41(8):28-31. |
| 作者姓名： | 凡荣荣 姚翠兰 杨巨生 张永发 谢克昌 |
| 作者单位： | 1. 太原理工大学电气与动力学院,山西太原,030024 2. 山西电力职业技术学院,山西太原,030021 3. 太原理工大学煤科学与技术教育部和山西省重点实验室,山西太原,030024 |
| 基金项目： | 国家重点基础研究发展计划(2005CB221202);山西省攻关项目(20110313026-2) |
| 摘 要： | 以某超临界600 MW机组锅炉为例,采用BP-adaboost算法建立氮氧化物预测模型,通过粒子群优化算法(PSO)优化锅炉运行参数进而在减少氮氧化物排放的同时保持较高的锅炉效率.结果表明,所建模型预测氮氧化物排放量的误差可控制在3％以内,且具有较强的泛化能力；在机组满负荷运行工况下,优化后锅炉实际燃烧效率为92.04％,NOx排放量为520.93 mg/m3,相比优化前锅炉效率略有降低,但NOx排放量降低明显. |
| 关 键 词： | 600 MW机组 锅炉 NOx排放 锅炉效率 BP-adaboost算法 粒子群算法 优化 |
APPLICATION OF PSO IN NO_x EMISSION FROM BOILER |
|
| FAN Rongrong , YAO Cuilan , YANG Jusheng , ZHANG Yongfa , XIE Kechang.APPLICATION OF PSO IN NO_x EMISSION FROM BOILER[J].Thermal Power Generation,2012,41(8):28-31. | |
| Authors: | FAN Rongrong YAO Cuilan YANG Jusheng ZHANG Yongfa XIE Kechang |
| Affiliation: | 1.College of Electrical and Power Engineering,Taiyuan University of Technology,Taiyuan 030024,Shanxi Province,China 2.Electric Power Occupational Technical Institute of SEPC,Taiyuan 030021,Shanxi Province,China 3.Key laboratory of coal science and Technology,Taiyuan University of Technology,Ministry of Education and Shanxi province, Taiyuan 030024,Shanxi Province,China |
| Abstract: | Aimed at keeping high boiler efficiency while reducing the NOx emission,a prediction model was derived based on the BP-adaboost algorithm,taking a supercritical 600 MW unit boiler as the object.NOx and boiler efficiency were optimized by adjusting the boiler parameters with particle swarm optimization(PSO) algorithm.Results show that,the model has good generalization ability,and its error of predicted NOx emission can be controlled within 3%.Under full load operation condition,the actual combustion efficiency of the optimized boiler is 92.4%,a little lower than that before the improvement.However,the NOx emission is obviously decreased,which reaches 520.93 mg/m3. |
| Keywords: | 600 MW unit boiler NOx emission boiler efficiency BP-adaboost PSO optimization |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |