In this article,the basic concept,constitute and brief development history of Nuclear Explosions Fusion Power Plant is introduced.A series of technique is put forward to solve the implement safety of nuclear explosion...In this article,the basic concept,constitute and brief development history of Nuclear Explosions Fusion Power Plant is introduced.A series of technique is put forward to solve the implement safety of nuclear explosion;the designs of nuclear devicein deuterium-type and the reclamation of nuclear fuel are put forward.The technique possibility of power station is analyzed,and the prospect of all kinds of nuclear energy project to provide energy of the mankind future are compared.展开更多
针对转辙机退化阶段难以划分的问题,提出一种基于多维特征融合的道岔转辙机退化状态识别方法。首先,提取了S700K转辙机退化功率数据的时域、频域、时频域多域特征;其次,通过核主成分分析(Kernel Principal Components Analysis,KPCA)进...针对转辙机退化阶段难以划分的问题,提出一种基于多维特征融合的道岔转辙机退化状态识别方法。首先,提取了S700K转辙机退化功率数据的时域、频域、时频域多域特征;其次,通过核主成分分析(Kernel Principal Components Analysis,KPCA)进行特征融合,获得表征道岔转辙机运行状态的特征向量,构建转辙机退化性能指标;再次,采用K-medoids聚类算法对道岔转辙机性能退化状态进行阶段划分,识别不同的退化状态;最后,选用轮廓系数、分类系数、平均模糊熵对聚类效果进行综合评价,并与模糊C均值聚类(Fuzzy C-Means Clustering,FCM)和古斯塔夫森-凯塞尔(Gustafson Kessel,GK)聚类算法进行比较。研究结果表明,融合特征聚类后的综合评价指标高于单一特征,更能够体现道岔转辙机退化过程中的细节,K-medoids聚类效果明显,模型的准确率达到96.3%,能够对道岔转辙机性能退化阶段进行准确的划分,为铁路现场道岔智能运维提供理论支持。展开更多
An outer loop power control algorithm based on triangle norm(t-norm) information fusion technology is proposed in this paper.According to the difference between block error rate and bit error rate with target values,t...An outer loop power control algorithm based on triangle norm(t-norm) information fusion technology is proposed in this paper.According to the difference between block error rate and bit error rate with target values,the membership function calculation and level dividing of the two differences are dealt with.And then t-norm operator is used to fuse the two membership function values to determine the adjustment step-size.The algorithm can acquire the optimal adjustment step-size in the light of the channel status and avoid the overshoot phenomenon of the existing outer power control methods.As a result,the block error rate can converge to the target value quickly.Experiment results verify the excellent property of the algorithm.展开更多
精准的分布式光伏短期发电功率预测有助于电力系统运行与功率就地平衡。该文提出一种基于BIRCH(balanced iterative reducing and clustering using hierarchies)相似日聚类的L-Transformer(LSTM-Transformer)模型进行短期光伏功率预测...精准的分布式光伏短期发电功率预测有助于电力系统运行与功率就地平衡。该文提出一种基于BIRCH(balanced iterative reducing and clustering using hierarchies)相似日聚类的L-Transformer(LSTM-Transformer)模型进行短期光伏功率预测。首先使用BIRCH无监督聚类算法对历史数据聚类得到3种典型天气,根据聚类结果划分测试集对模型进行训练。为提高不同天气类型下的预测精度,采用双层架构的L-Transformer模型,首层通过长短期记忆网络(long short term memory,LSTM)的门控单元机制捕捉时间序列中的长期依赖关系;次层结合Transformer模型的自注意力机制聚焦于当前任务更关键的特征量,通过多注意力头与光伏数据特征量相结合生成向量,注意力头并行计算,从而高效、精确地预测短期光伏功率。实测数据验证结果表明L-Transformer模型对于不同天气类型功率预测泛化性优异、精确度高,气象数据波动大时鲁棒性强。展开更多
为了解决局部阴影下传统最大功率点追踪(maximum power point tracking, MPPT)算法容易陷入局部最优从而降低光伏系统发电效率的问题,本研究提出融合正弦余弦算法和自适应策略的布谷鸟优化算法(cuckoo search algorithm fusing sine cos...为了解决局部阴影下传统最大功率点追踪(maximum power point tracking, MPPT)算法容易陷入局部最优从而降低光伏系统发电效率的问题,本研究提出融合正弦余弦算法和自适应策略的布谷鸟优化算法(cuckoo search algorithm fusing sine cosine algorithm and adaptive strategy, AFCS),并应用于光伏全局MPPT控制中,以改善其收敛速度与追踪精度.设置多种光照情况,并与扰动观察法、花朵授粉算法和粒子群算法进行对比.经过Matlab/Simulink仿真验证,表明本算法拥有较快的收敛速度和较高的追踪精度,在各个光照条件下均能快速追踪到光伏阵列最大功率点,可以有效提高光伏系统的发电效率.展开更多
为解决核聚变发电热功率输出不稳定性和汽轮发电机组平稳运行之间的矛盾,中国聚变工程实验堆(China Fusion Engineering Test Reactor,CFETR)核聚变发电厂可运用储热技术对核聚变堆的功率输出进行削峰平谷。储热技术有多种类型,各类储...为解决核聚变发电热功率输出不稳定性和汽轮发电机组平稳运行之间的矛盾,中国聚变工程实验堆(China Fusion Engineering Test Reactor,CFETR)核聚变发电厂可运用储热技术对核聚变堆的功率输出进行削峰平谷。储热技术有多种类型,各类储热技术对于核聚变发电厂的适用性亟须进行对比。本文选取核聚变反应堆氦冷陶瓷增殖包层的参数作为储热技术边界条件,通过对储热技术适用温度范围进行评估,初步分析出有潜力运用于CFETR核聚变发电厂的三种储热技术,并对其进行成本初步预测。三大类储热技术均可选出适用CFETR核聚变发电厂氦冷增殖包层温度参数的储热介质。但化学储热由于其吸热和放热存在温差,不利于系统的稳定性及造成能量的损耗,显热储热技术和相变储热技术吸热温度和放热温度温差较小,具有应用于CFETR核聚变发电厂的潜力。初步经济性分析结果显示:相变储热成本最低,其次为熔融盐储热,再次为固相显热储热技术中利用硅砖作为储热介质,固相显热储热技术中利用铸钢作为储热介质成本最高。储热技术中,熔融盐储热技术、相变储热技术、固相显热储热具有应用于核聚变发电厂氦冷增殖包层的先决条件。熔融盐储热技术成熟度较高,有大量工程应用,造价在相变储热和固相显热储热之间,运用潜力较大。相变储热的成本最低,参数适用于核聚变发电,但其技术成熟度较低,有望成为未来研究的重点。展开更多
文摘In this article,the basic concept,constitute and brief development history of Nuclear Explosions Fusion Power Plant is introduced.A series of technique is put forward to solve the implement safety of nuclear explosion;the designs of nuclear devicein deuterium-type and the reclamation of nuclear fuel are put forward.The technique possibility of power station is analyzed,and the prospect of all kinds of nuclear energy project to provide energy of the mankind future are compared.
文摘An outer loop power control algorithm based on triangle norm(t-norm) information fusion technology is proposed in this paper.According to the difference between block error rate and bit error rate with target values,the membership function calculation and level dividing of the two differences are dealt with.And then t-norm operator is used to fuse the two membership function values to determine the adjustment step-size.The algorithm can acquire the optimal adjustment step-size in the light of the channel status and avoid the overshoot phenomenon of the existing outer power control methods.As a result,the block error rate can converge to the target value quickly.Experiment results verify the excellent property of the algorithm.
文摘精准的分布式光伏短期发电功率预测有助于电力系统运行与功率就地平衡。该文提出一种基于BIRCH(balanced iterative reducing and clustering using hierarchies)相似日聚类的L-Transformer(LSTM-Transformer)模型进行短期光伏功率预测。首先使用BIRCH无监督聚类算法对历史数据聚类得到3种典型天气,根据聚类结果划分测试集对模型进行训练。为提高不同天气类型下的预测精度,采用双层架构的L-Transformer模型,首层通过长短期记忆网络(long short term memory,LSTM)的门控单元机制捕捉时间序列中的长期依赖关系;次层结合Transformer模型的自注意力机制聚焦于当前任务更关键的特征量,通过多注意力头与光伏数据特征量相结合生成向量,注意力头并行计算,从而高效、精确地预测短期光伏功率。实测数据验证结果表明L-Transformer模型对于不同天气类型功率预测泛化性优异、精确度高,气象数据波动大时鲁棒性强。
文摘为了解决局部阴影下传统最大功率点追踪(maximum power point tracking, MPPT)算法容易陷入局部最优从而降低光伏系统发电效率的问题,本研究提出融合正弦余弦算法和自适应策略的布谷鸟优化算法(cuckoo search algorithm fusing sine cosine algorithm and adaptive strategy, AFCS),并应用于光伏全局MPPT控制中,以改善其收敛速度与追踪精度.设置多种光照情况,并与扰动观察法、花朵授粉算法和粒子群算法进行对比.经过Matlab/Simulink仿真验证,表明本算法拥有较快的收敛速度和较高的追踪精度,在各个光照条件下均能快速追踪到光伏阵列最大功率点,可以有效提高光伏系统的发电效率.
文摘为解决核聚变发电热功率输出不稳定性和汽轮发电机组平稳运行之间的矛盾,中国聚变工程实验堆(China Fusion Engineering Test Reactor,CFETR)核聚变发电厂可运用储热技术对核聚变堆的功率输出进行削峰平谷。储热技术有多种类型,各类储热技术对于核聚变发电厂的适用性亟须进行对比。本文选取核聚变反应堆氦冷陶瓷增殖包层的参数作为储热技术边界条件,通过对储热技术适用温度范围进行评估,初步分析出有潜力运用于CFETR核聚变发电厂的三种储热技术,并对其进行成本初步预测。三大类储热技术均可选出适用CFETR核聚变发电厂氦冷增殖包层温度参数的储热介质。但化学储热由于其吸热和放热存在温差,不利于系统的稳定性及造成能量的损耗,显热储热技术和相变储热技术吸热温度和放热温度温差较小,具有应用于CFETR核聚变发电厂的潜力。初步经济性分析结果显示:相变储热成本最低,其次为熔融盐储热,再次为固相显热储热技术中利用硅砖作为储热介质,固相显热储热技术中利用铸钢作为储热介质成本最高。储热技术中,熔融盐储热技术、相变储热技术、固相显热储热具有应用于核聚变发电厂氦冷增殖包层的先决条件。熔融盐储热技术成熟度较高,有大量工程应用,造价在相变储热和固相显热储热之间,运用潜力较大。相变储热的成本最低,参数适用于核聚变发电,但其技术成熟度较低,有望成为未来研究的重点。
