咨询与建议

限定检索结果

文献类型

  • 1,675 篇 会议
  • 775 篇 期刊文献

馆藏范围

  • 2,450 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 1,578 篇 工学
    • 1,048 篇 电气工程
    • 526 篇 动力工程及工程热...
    • 399 篇 计算机科学与技术...
    • 312 篇 软件工程
    • 302 篇 电子科学与技术(可...
    • 298 篇 控制科学与工程
    • 150 篇 化学工程与技术
    • 145 篇 机械工程
    • 109 篇 材料科学与工程(可...
    • 92 篇 信息与通信工程
    • 80 篇 安全科学与工程
    • 76 篇 环境科学与工程(可...
    • 62 篇 力学(可授工学、理...
    • 48 篇 交通运输工程
    • 46 篇 仪器科学与技术
    • 42 篇 石油与天然气工程
    • 38 篇 土木工程
    • 35 篇 生物工程
    • 31 篇 航空宇航科学与技...
  • 833 篇 理学
    • 448 篇 数学
    • 264 篇 物理学
    • 133 篇 系统科学
    • 130 篇 化学
    • 119 篇 统计学(可授理学、...
    • 59 篇 大气科学
    • 45 篇 地球物理学
    • 35 篇 生物学
  • 240 篇 管理学
    • 211 篇 管理科学与工程(可...
    • 122 篇 工商管理
  • 103 篇 经济学
    • 103 篇 应用经济学
  • 25 篇 法学
  • 14 篇 医学
  • 9 篇 农学
  • 2 篇 教育学
  • 2 篇 军事学
  • 1 篇 文学

主题

  • 73 篇 power system sta...
  • 60 篇 voltage control
  • 54 篇 wind power gener...
  • 52 篇 wind power
  • 51 篇 energy storage
  • 50 篇 renewable energy...
  • 48 篇 stability analys...
  • 46 篇 optimization
  • 44 篇 simulation
  • 44 篇 reactive power
  • 43 篇 switches
  • 42 篇 power grids
  • 42 篇 voltage
  • 42 篇 wind turbines
  • 41 篇 transient analys...
  • 40 篇 power systems
  • 37 篇 analytical model...
  • 35 篇 predictive model...
  • 35 篇 power system dyn...
  • 34 篇 load modeling

机构

  • 92 篇 key laboratory o...
  • 87 篇 state key labora...
  • 81 篇 guangdong provin...
  • 69 篇 key laboratory o...
  • 69 篇 school of contro...
  • 67 篇 state key labora...
  • 63 篇 csg key laborato...
  • 63 篇 key laboratory o...
  • 62 篇 department of el...
  • 54 篇 state key labora...
  • 45 篇 key laboratory o...
  • 43 篇 national energy ...
  • 43 篇 state grid shand...
  • 42 篇 state key labora...
  • 38 篇 state grid shand...
  • 37 篇 state key labora...
  • 35 篇 key laboratory o...
  • 34 篇 key laboratory o...
  • 34 篇 state key labora...
  • 32 篇 state key labora...

作者

  • 45 篇 zhengming zhao
  • 36 篇 yihua zhu
  • 34 篇 junhui li
  • 32 篇 zhu yihua
  • 31 篇 huang libin
  • 30 篇 liqiang yuan
  • 30 篇 sun hongbin
  • 28 篇 lin jin
  • 27 篇 hengxu zhang
  • 27 篇 lin cheng
  • 26 篇 song yonghua
  • 25 篇 zhang hengxu
  • 25 篇 liu feng
  • 25 篇 cheng lin
  • 25 篇 zhao zhengming
  • 22 篇 zhou yuanxiang
  • 22 篇 guo qi
  • 22 篇 guo haiping
  • 22 篇 cuiping li
  • 21 篇 libin huang

语言

  • 2,260 篇 英文
  • 106 篇 中文
  • 83 篇 其他
检索条件"机构=State Key Laboratory of Control and Simulation of Power System and Power"
2450 条 记 录,以下是41-50 订阅
Optimal Allocation Strategy of Frequency Modulation power for Multiple Energy Storage systems Considering Dual Constraints of Frequency Modulation Cost and Frequency Modulation Capability
Optimal Allocation Strategy of Frequency Modulation Power fo...
收藏 引用
2023 IEEE International Conference on power Science and Technology, ICPST 2023
作者: Peng, Yongming Si, Wenbo Zhao, Haiji Lv, Changlin Liu, Chengzhe Xu, Fei Hao, Ling Li, Junhui Northeast Branch of State Grid Corporation of China Shenyang China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Jilin China State Key Laboratory of Power System and Power Generation Equipment Control and Simulation Beijing China
Aiming at the power allocation problem of multiple energy storage power stations distributed at different locations in the regional power grid participating in frequency modulation services, a frequency modulation pow... 详细信息
来源: 评论
Low-Carbon Dispatching for Virtual power Plant with Aggregated Distributed Energy Storage Considering Spatiotemporal Distribution of Cleanness Value
收藏 引用
Journal of Modern power systems and Clean Energy 2024年 第2期12卷 346-358页
作者: Hongchao Gao Tai Jin Guanxiong Wang Qixin Chen Chongqing Kang Jingkai Zhu State Key Laboratory of Power System Operation and Control Department of Electrical EngineeringTsinghua UniversityBeijing 100084China Sichuan Energy Internet Research Institute Tsinghua University Chengdu 200016China Power Dispatching and Control Center of Shanghai Municipal Electric Power Company Shanghai 200122China IEEE
The scale of distributed energy resources is increasing,but imperfect business models and value transmission mechanisms lead to low utilization ratio and poor *** address this issue,the concept of cleanness value of d... 详细信息
来源: 评论
Generating High-Temperature Polymer Dielectrics with a Graph Convolution and Reinforcement Learning Framework
收藏 引用
Journal of Physical Chemistry C 2025年 第22期129卷 10020-10026页
作者: Liu, Di-Fan Dong, Wen-Zhuo Wang, Xin-Jie Zhong, Shao-Long Dang, Zhi-Min State Key Laboratory of Power System Operation and Control Department of Electrical Engineering Tsinghua University Beijing100084 China
Generating molecular structures with certain desired properties is a fundamental problem for material science research. Deep learning models have demonstrated big potential to identify novel materials by exploring lar... 详细信息
来源: 评论
Harmonic state-Space Based AC-Side Impedance Model of MMC and High Frequency Oscillation Characteristics Analysis
收藏 引用
Energy Engineering 2023年 第4期120卷 831-849页
作者: Hui Fang Jingsen Zhou Haozheng Wang Yanxu Wang Hongji Xiang Yechun Xin State Grid Chongqing Electric Power Company Research Institute Chongqing401120China Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology(Northeast Electric Power University) Jilin132012China
Recently,high-frequency oscillation of themodularmultilevel converter(MMC)based high-voltage direct current(HVDC)projects has attracted great *** order to analyze the small-signal stability,this paper uses the harmoni... 详细信息
来源: 评论
Abnormal Data Identification and Reconstruction Based on Wind Speed Characteristics
收藏 引用
CSEE Journal of power and Energy systems 2025年 第2期11卷 612-622页
作者: Mao Yang Tian Peng Wei Zhang Xin Su Chao Han Fulin Fan Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of EducationNortheast Electric Power UniversityJilin 132012China Department of Electronic and Electrical Engineering University of StrathclYdeGlasgow G11XWUnited Kingdom
High availability of wind power data is the basis for wind power research, but there are a large number of abnormal data in actual collected data, which seriously affects analysis of wind power law and reduces predict... 详细信息
来源: 评论
Study on the Effects of Moisture on Dielectric Loss and Capacitance Parameters of 66 kV AC XLPE Cable Insulation  19th
Study on the Effects of Moisture on Dielectric Loss and Capa...
收藏 引用
19th Annual Conference of China Electrotechnical Society, ACCES 2024
作者: Cao, Kangyangyong Xing, Hongquan Huang, Dawei Zong, Guanbo Liu, Shili State Grid Changchun Power Supply Company Jilin China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China
Long-term operation or external forces may cause damage to the outer sheath of the cable, allowing moisture to enter the cable body and affecting the insulation and dielectric performance of the main XLPE insulation o... 详细信息
来源: 评论
Study on Insulation Characteristics of Moisture in the Buffer Layer of 66 kV AC XLPE Cables  19th
Study on Insulation Characteristics of Moisture in the Buffe...
收藏 引用
19th Annual Conference of China Electrotechnical Society, ACCES 2024
作者: Cao, Kangyangyong Xing, Hongquan Huang, Dawei Wei, Zhenhao Liu, Shili State Grid Changchun Power Supply Company Jilin China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China
To address the frequent failure issues caused by defects in the buffer layer of high-voltage cross-linked polyethylene (XLPE) cables, research on buffer layer has become a hot topic at present. This paper first introd... 详细信息
来源: 评论
Convolution Neural Network-based Load Model Parameter Selection Considering Short-term Voltage Stability
收藏 引用
CSEE Journal of power and Energy systems 2024年 第3期10卷 1064-1074页
作者: Ying Wang Chao Lu Xinran Zhang School of Technology Beijing Forestry UniversityBeijing 100083China State Key Laboratory of Control and Simulation of Power System and Generation Equipment Tsinghua UniversityBeijing 100084China School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100083China IEEE
The recently proposed ambient signal-based load modeling approach offers an important and effective idea to study the time-varying and distributed characteristics of power ***,it also brings new *** the load model par... 详细信息
来源: 评论
Multi-Lever EarlyWarning forWind and Photovoltaic power Ramp Events Based on Neural Network and Fuzzy Logic
收藏 引用
Energy Engineering 2024年 第11期121卷 3133-3160页
作者: Huan Ma Linlin Ma Zengwei Wang Zhendong Li Yuanzhen Zhu Yutian Liu Power Grid Technology Center State Grid Shandong Electric Power Research InstituteJinan250003China Shandong Electric Power Dispatching and Control Center State Grid Shandong Electric Power CompanyJinan250012China Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong UniversityJinan250061China
With the increasing penetration of renewable energy in power system,renewable energy power ramp events(REPREs),dominated by wind power and photovoltaic power,pose significant threats to the secure and stable operation... 详细信息
来源: 评论
Preventive control Methods for power systems Based on Improved Deep Reinforcement Learning  6
Preventive Control Methods for Power Systems Based on Improv...
收藏 引用
6th International Conference on power and Energy Technology, ICPET 2024
作者: Zhang, Jie Zhu, Yihua Liang, Zhuohang Zhang, Qingqing Ma, Qinfeng Liu, Mingshun An, Su Dai, Jiang State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China Power Dispatching and Control Center of Guizhou Power Grid Co. Ltd Guiyang China
Convergence speed, accuracy, generalization and decision transparency are very important indices for transient stability preventive control generation methods based on AI. This paper proposes a transient stability pre... 详细信息
来源: 评论