1 |
赵敏华,胡毅,李金,等 .使用博弈差分算法的电站锅炉高效低污染燃烧均衡优化[J].化工学报,2017,68(6):2455-2464. doi:10.11949/j.issn.0438-1157.20161480
|
|
ZHAO M H, HU Y, LI J,et al. Equilibrium optimization for high efficiency and low pollution combustion of power-generation boilers using game differential evolution algorithm[J].CIESC Journal,2017,68(6):2455-2464. doi:10.11949/j.issn.0438-1157.20161480
|
2 |
关新河,李彦,朱群志,等 .1 000 MW超超临界锅炉低NO x 燃烧器改造的数值模拟研究[J].中国电机工程学报,2019,39(8):2376-2383. doi:10.13334/j.0258-8013.pcsee.181513
|
|
GUAN X H, LI Y, ZHU Q Z,et al .Numerical simulation study on retrofit of low NO x burner for 1 000 MW ultra-supercritical boiler[J].Proceedings of the CSEE,2019,39(8):2376-2383. doi:10.13334/j.0258-8013.pcsee.181513
|
3 |
张志勇,莫华,王猛,等 .600 MW燃煤机组烟气污染物控制研究[J].中国电力,2022,55(5):204-210.
|
|
ZHANG Z Y, MO H, WANG M,et al .Study of flue gas pollutant control in a 600 MW coal-fired unit[J].Electric Power,2022,55(5):204-210.
|
4 |
温佳鑫,卜思齐,陈麒宇,等 .基于数据学习的新能源高渗透电网频率风险评估[J].发电技术,2021,42(1):40-47. doi:10.12096/j.2096-4528.pgt.20105
|
|
WEN J X, BU S Q, CHEN Q Y,et al .Data learning-based frequency risk assessment in a high-penetrated renewable power system[J].Power Generation Technology,2021,42(1):40-47. doi:10.12096/j.2096-4528.pgt.20105
|
5 |
时浩,肖海平,刘彦鹏 .基于BP神经网络和最小二乘支持向量机的灰熔点预测和对比[J].发电技术,2022,43(1):139-146. doi:10.12096/j.2096-4528.pgt.20003
|
|
SHI H, XIAO H P, LIU Y P .Prediction and comparison of ash fusion temperatures based on BP neural network and least squares support vector machine[J].Power Generation Technology,2022,43(1):139-146. doi:10.12096/j.2096-4528.pgt.20003
|
6 |
唐晨琪,陈林根,王文华,等 .基于NSGA-II算法的变温热源内可逆简单MCBC的性能优化[J].发电技术,2020,41(3):301-316.
|
|
TANG C Q, CHEN L G, WANG W H,et al .Performance optimization of the endoreversible simple MCBC coupled to variable-temperature reservoirs based on NSGA-II Algorithm[J].Power Generation Technology,2020,41(3):301-316.
|
7 |
朱建华,李振清,许立长 .基于随机子空间方法的光伏变流器模态识别和分析[J].发电技术,2021,42(2):201-206. doi:10.12096/j.2096-4528.pgt.19141
|
|
ZHU J H, LI Z Q, XU L C .Modal identification and analysis of photovoltaic converter based on random subspace[J].Power Generation Technology,2021,42(2):201-206. doi:10.12096/j.2096-4528.pgt.19141
|
8 |
TAN P, XIA J, ZHANG C,et al .Modeling and reduction of NO x emissions for a 700 MW coal-fired boiler with the advanced machine learning method[J].Energy,2016,94:672-679. doi:10.1016/j.energy.2015.11.020
|
9 |
SHIN Y, KIM Z, YU J,et al .Development of NO x reduction system utilizing artificial neural network (ANN) and genetic algorithm (GA)[J].Journal of Cleaner Production,2019,232:1418-1429. doi:10.1016/j.jclepro.2019.05.276
|
10 |
TUTTLE J F, VESEL R, ALAGARSAMY S, et al .Sustainable NO x emission reduction at a coal-fired power station through the use of online neural network modeling and particle swarm optimization[J].Control Engineering Practice,2019,93:104167. doi:10.1016/j.conengprac.2019.104167
|
11 |
王培红,李磊磊,陈强,等 .人工智能技术在电站锅炉燃烧优化中的应用研究[J].中国电机工程学报,2004,24(4):184-188. doi:10.3321/j.issn:0258-8013.2004.04.034
|
|
WANG P H, LI L L, CHEN Q,et al .Research on applications of artificial intelligence to combustion optimization in a coal-fired boiler[J].Proceedings of the CSEE,2004,24(4):184-188. doi:10.3321/j.issn:0258-8013.2004.04.034
|
12 |
周昊,朱洪波,茅建波,等 .大型四角切圆燃烧锅炉NO x 排放特性的神经网络模型[J].中国电机工程学报,2002,22(1):33-37. doi:10.3321/j.issn:0258-8013.2002.01.007
|
|
ZHOU H, ZHU H B, MAO J B,et al .An artificial neural network model on NO x emission property of a high capacity tangentially firing boiler[J]. Proceedings of the CSEE,2002,22(1):33-37. doi:10.3321/j.issn:0258-8013.2002.01.007
|
13 |
周昊,朱洪波,岑可法 .基于人工神经网络和遗传算法的火电厂锅炉实时燃烧优化系统[J].动力工程,2003,23(5):2665-2669. doi:10.3321/j.issn:1000-6761.2003.05.012
|
|
ZHOU H, ZHU H H, CEN K F .An on-line boiler operating optimization system based on the neural network and the genetic algorithms[J].Power Engineering,2003,23(5):2665-2669. doi:10.3321/j.issn:1000-6761.2003.05.012
|
14 |
ZHENG L L, ZHOU H, WANG C L,et al .Combining support vector regression and ant colony optimization to reduce NO x emissions in coal-fired utility boilers[J].Energy & Fuels,2008,22(2):1034-1040. doi:10.1021/ef700451v
|
15 |
SMOLA A J, SCHöLKOPF B .A tutorial on support vector regression[J].Statistics and Computing,2004,14(3):199-222. doi:10.1023/b:stco.0000035301.49549.88
|
16 |
ZHOU H, TANG Q, YANG L,et al .Support vector machine based online coal identification through advanced flame monitoring[J].Fuel,2014,117:944-951. doi:10.1016/j.fuel.2013.10.041
|
17 |
AHMED F, CHO H J, KIM J K,et al. A real-time model based on least squares support vector machines and output bias update for the prediction of NO x emission from coal-fired power plant[J].Korean Journal of Chemical Engineering,2015,32(6):1029-1036. doi:10.1007/s11814-014-0301-2
|
18 |
赵国钦,蓝茂蔚,李杨,等 .基于最小二乘支持向量机的火电厂烟气含氧量预测模型优化研究[J].发电技术,2023,44(4):534-542. doi:10.12096/j.2096-4528.pgt.21088
|
|
ZHAO G Q, LAN M W, LI Y,et al. Study on optimization of prediction model of flue gas oxygen content in thermal power plant based on least squares support vector machine[J].2023,44(4):534-542. doi:10.12096/j.2096-4528.pgt.21088
|
19 |
李杨,蓝茂蔚,赵国钦,等 .基于PCA-PSO-LSSVM的电站锅炉效率预测模型研究[J].热力发电,2021,50(12):43-50.
|
|
LI Y, LAN M W, ZHAO G Q,et al .Study on prediction model of utility boiler efficiency based on PCA-PSO-LSSVM[J].Thermal Power Generation,2021,50(12):43-50.
|
20 |
孙黎霞,鞠平,白景涛,等 .计及蓄电池寿命的冷热电联供型微电网多目标经济优化运行[J].发电技术,2020,41(1):64-72. doi:10.12096/j.2096-4528.pgt.19175
|
|
SUN L X, JU P, BAI J T,et al. Multi-objective economic optimal operation of microgrid based on combined cooling, heating and power considering battery life[J].Power Generation Technology,2020,41(1):64-72. doi:10.12096/j.2096-4528.pgt.19175
|
21 |
吕玉坤,彭鑫,赵锴 .电站锅炉热效率和NO x 排放混合建模与优化[J].中国电机工程学报,2011,31(26):16-22.
|
|
LÜ Y K, PENG X, ZHAO K .Hybrid modeling optimization of thermal efficiency and NO x emission of utility boiler[J].Proceedings of the CSEE,2011,31(26):16-22.
|
22 |
蓝茂蔚,李杨,赵国钦,等 .基于MAPSO优化LSSVM的锅炉燃烧建模研究[J].中南大学学报(自然科学版),2022,53(4):1506-1515.
|
|
LAN M W, LI Y, ZHAO G Q,et al .Study on boiler combustion modeling based on MAPSO optimizing LSSVM model parameters[J].Journal of Central South University (Science and Technology),2022,53(4):1506-1515.
|
23 |
COELLO C A C, PULIDO G T, LECHUGA M S .Handling multiple objectives with particle swarm optimization[J].IEEE Transactions on Evolutionary Computation,2004,8(3):256-279. doi:10.1109/tevc.2004.826067
|
24 |
徐旭常,周力行 .燃烧技术手册[M].北京:化学工业出版社,2008:1368-1378.
|
|
XU X C, ZHOU L X .Combustion technology manual[M].Beijing:Chemical Industry Press,2008:1368-1378.
|