《太阳能学报》“领跑者 5000——中国精品科技期刊顶尖论文”品读

1太阳能制氢关键技术研究 

https://www.tynxb.org.cn/CN/10.19912/j.0254-0096.tynxb.2022-0037

[中文]李建林,梁忠豪,李光辉,等.太阳能制氢关键技术研究[J].太阳能学报,2022,43(03):2-11.

[英文]LI J L ,LIANG Z H ,LI G H,et al.Analysis of key technologies for solar hydrogen production. [J]. Acta energiae solaris sinica.2022, 43(03):2-11.

2基于CNN-Bi-LSTM的太阳辐照度超短期预测

https://www.tynxb.org.cn/CN/10.19912/j.0254-0096.tynxb.2020-0581

[中文]倪超,王聪,朱婷婷,等.基于CNN-Bi-LSTM的太阳辐照度超短期预测[J].太阳能学报,2022,43(03):197-202.

[英文]NI C,WANG C ,ZHU T T ,et al.Super-short-term forecast of solar irradiance based on CNN-Bi-lSTM. [J]. Acta energiae solaris sinica.2022, 43(03):197-202.

3基于改进灰狼算法的独立微电网容量优化配置
https://www.tynxb.org.cn/CN/Y2022/V43/I1/256

[中文]赵超,王斌,孙志新,等.基于改进灰狼算法的独立微电网容量优化配置[J].太阳能学报,2022,43(01):256-262.

[英文]ZHAO C, WANG B ,SUN Z X ,et al.Optimal configuration optimization of islanded microgrid using improved grey wolf optimizer algorithm.[J]. Acta energiae solaris sinica.2022, 43(01):256-262.

4基于蚁狮算法的风电集群储能容量配置优化方法
https://www.tynxb.org.cn/CN/Y2021/V42/I1/431

[中文]刘颖明,王瑛玮,王晓东,等.基于蚁狮算法的风电集群储能容量配置优化方法[J].太阳能学报,2021,42(01):431-437.

[英文]LIU Y M, WANG Y W,WANG X D,et al.Optimization of storage capacity allocation in wind farm cluster based on ant lion optimization algorithm.[J]. Acta energiae solaris sinica.2021, 42(01):431-437.

5基于EMD-PCA-LSTM的光伏功率预测模型

https://www.tynxb.org.cn/CN/Y2021/V42/I9/62

[中文]张雲钦,程起泽,蒋文杰,等.基于EMD-PCA-LSTM的光伏功率预测模型[J].太阳能学报,2021,42(09):62-69.

[英文] ZHANG Y Q,CHEN Q Z,JIANG W J ,et al.Photovoltaic power prediction model based on EMD-PCA-LSTM.[J]. Acta energiae solaris sinica.2021, 42(09):62-69.

6基于多种群遗传算法的分布式光伏接入配电网规划研究

https://www.tynxb.org.cn/CN/Y2021/V42/I6/146

[中文]刘科研,盛万兴,马晓晨,等.基于多种群遗传算法的分布式光伏接入配电网规划研究[J].太阳能学报,2021,42(06):146-155.

[英文]LIU K Y,SHENG W X ,MA X C ,et al.Planning research of distributed photovoltaic source access distribution network based on multi-population genetic algorithm.[J]. Acta energiae solaris sinica.2021,42(06):146-155.

7基于改进量子粒子群算法的光伏多峰MPPT研究

https://www.tynxb.org.cn/CN/Y2021/V42/I5/221

[中文]李志军,张奕楠,王丽娟,等.基于改进量子粒子群算法的光伏多峰MPPT研究[J].太阳能学报,2021,42(05):221-229.

[英文]LI Z J ,ZHANG Y N ,WANG L J ,et al.Study of photovoltaic multimodal maximum power point tracking baced on improved quantum particle swarm optmization.[J]. Acta energiae solaris sinica.2021, 42(05):221-229.

8基于长短时记忆网络的超短期风功率预测模型

https://www.tynxb.org.cn/CN/Y2021/V42/I10/275

[中文]张群,唐振浩,王恭,等.基于长短时记忆网络的超短期风功率预测模型[J].太阳能学报,2021,42(10):275-281.

[英文]ZHANG Q,TANG Z H,WANG G,et al.Ultra-short-term wind power prediction model based on long and short term memory network.[J]. Acta energiae solaris sinica.2021, 42(10):275-281.

9考虑时间尺度的配电网故障恢复方法研究

https://www.tynxb.org.cn/CN/Y2021/V42/I1/453

[中文]杨丽君,高鹏,王伟浩,等.考虑时间尺度的配电网故障恢复方法研究[J].太阳能学报,2021,42(01):453-459.

[英文]YANG L J,GAO P,WANG W H,et al.Research on fault recovery method considering time scale for distribution network.[J]. Acta energiae solaris sinica.2021, 42(01):453-459.

10中国风能资源气候特征和开发潜力研究

https://www.tynxb.org.cn/CN/Y2021/V42/I6/409

[中文]朱蓉,王阳,向洋,等.中国风能资源气候特征和开发潜力研究[J].太阳能学报,2021,42(06):409-418.

[英文]ZHU R,WANG Y,XIANG Y,et al.Stydy on climate characteristics and development potential of wind energy resources in China.[J]. Acta energiae solaris sinica.2021, 42(06):409-418.

11基于EEMD-ACS-LSSVM的短期风电功率预测

https://www.tynxb.org.cn/CN/Y2020/V41/I5/77

[中文]姜贵敏,陈志军,李笑竹,等.基于EEMD-ACS-LSSVM的短期风电功率预测[J].太阳能学报,2020,41(05):77-84.

[英文]JIANG G M,CHEN Z J ,LI X Z,et al.Short-term prediction of wind power based on EEMD-ACS-LSSVM.[J]. Acta energiae solaris sinica.2020, 41(05):77-84.

12基于MIV分析的GA-BP神经网络光伏短期发电预测

https://www.tynxb.org.cn/CN/Y2020/V41/I8/236

[中文]王英立,陶帅,候晓晓,等.基于MIV分析的GA-BP神经网络光伏短期发电预测[J].太阳能学报,2020,41(08):236-242.

[英文]WANG Y L,TAO S ,HOU X X,et al.GA-BP neural network photovoltaic power generation short-term forecast based on MIV analysis.[J]. Acta energiae solaris sinica.2020,41(08):236-242.

13基于地基云图的云跟踪与太阳辐照度超短期预报方法研究

https://www.tynxb.org.cn/CN/Y2020/V41/I5/351

[中文]蒋俊霞,高晓清,吕清泉,等.基于地基云图的云跟踪与太阳辐照度超短期预报方法研究[J].太阳能学报,2020,41(05):351-358.

[英文]JIANG J X ,GAO X Q ,LYU Q Q ,et al.Study on cloud tracking and solar irradiance ultra-short-term forecasting based on TSI images.[J]. Acta energiae solaris sinica.2020,41(05):351-358.

14基于红外热图像处理的光伏阵列热斑检测方法

https://www.tynxb.org.cn/CN/Y2020/V41/I8/180

[中文]蒋琳,苏建徽,施永,等.基于红外热图像处理的光伏阵列热斑检测方法[J].太阳能学报,2020,41(08):180-184.

[英文]JIANG L,SU J H ,SHI Y,et al.Hot spots detection of operating PV arrays through IR thermal image.[J]. Acta energiae solaris sinica.2020,41(08):180-184.

15基于太阳能利用的相变蓄热水箱结构优化

https://www.tynxb.org.cn/CN/Y2020/V41/I2/217

[中文]李安桂,史丙金,张婉卿,等.基于太阳能利用的相变蓄热水箱结构优化[J].太阳能学报,2020,41(02):217-224.

[英文]LI A G,SHI B J ,ZHANG W Q ,et al.Structure optimization of phase change thermal storage water tank based on solar energy utilization.[J]. Acta energiae solaris sinica.2020, 41(02):217-224.

16基于遗传算法的直流配电网线路故障定位方法

https://www.tynxb.org.cn/CN/Y2020/V41/I12/1

[中文]徐岩,刘婧妍,张诗杭,等.基于遗传算法的直流配电网线路故障定位方法[J].太阳能学报,2020,41(12):1-8.

[英文]XU Y,LIU J YAN,ZHANG SH,et al.Fault location method based on genetic algorithm for DC distribution network.[J]. Acta energiae solaris sinica.2020, 41(12):1-8.

17一种双馈风电组一次调频协调控制策略研究

https://www.tynxb.org.cn/CN/Y2020/V41/I2/101

[中文]李少林,秦世耀,王瑞明,等.一种双馈风电机组一次调频协调控制策略研究[J].太阳能学报,2020,41(02):101-109.

[英文]LI S L,QIN S Y ,WANG R M ,et al.A collaborative control of primary frequency regulation for DFIG-WT.[J]. Acta energiae solaris sinica.2020, 41(02):101-109.

18 100kw鹰式波浪能发电装置"万山号"实海况测验

https://www.tynxb.org.cn/CN/Y2019/V40/I3/709

[中文]盛松伟,王坤林,吝红军,等.100 kW鹰式波浪能发电装置“万山号”实海况试验[J].太阳能学报,2019,40(03):709-714.

[英文]SHENG S W,WANG K L,LIN H J,et al.Open sea tests of 100 kW wave energy convertor Sharp Eagle WANSHAN.[J]. Acta energiae solaris sinica.2019, 40(03):709-714.

19面向风电平抑的混合储能系统容量配置方法

https://www.tynxb.org.cn/CN/Y2019/V40/I3/593

[中文]丁明,吴杰,张晶晶.面向风电平抑的混合储能系统容量配置方法[J].太阳能学报,2019,40(03):593-599.

[英文]DING M, WU J, ZHANG J J.Capacity optimization method of hybrid energy storage system for wind power smoothing.[J]. Acta energiae solaris sinica.2019, 40(03):593-599.