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科研机构
西安交通大学 [2]
北京大学 [1]
武汉大学 [1]
武汉岩土力学研究所 [1]
沈阳自动化研究所 [1]
内容类型
期刊论文 [4]
会议论文 [2]
发表日期
2017 [6]
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Scenario adjustable scheduling model with robust constraints for energy intensive corporate microgrid with wind power
期刊论文
RENEWABLE ENERGY, 2017, 卷号: 113, 页码: 1-10
作者:
Liu, Kun
;
Gao, Feng
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浏览/下载:10/0
  |  
提交时间:2019/11/26
Pre-scheduling
Virtual re-scheduling
Adjustable scheduling
Robust constraints
Probabilistic Power Flow Analytic Algorithm Based on Scenario Partition
期刊论文
Dianwang Jishu/Power System Technology, 2017, 卷号: 41, 页码: 3153-3160
作者:
Lian, Haoran
;
Zhou, Baorong
;
Qin, Peng
;
Wang, Tong
;
Bie, Zhaohong
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  |  
浏览/下载:5/0
  |  
提交时间:2019/11/26
Accuracy
Cumulant methods
Renewable energies
Scenario set
Total probabilities
Energy and water nexus in power generation: The surprisingly high amount of industrial water use induced by solar power infrastructure in China
期刊论文
APPLIED ENERGY, 2017
Wu, X. D.
;
Chen, G. Q.
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浏览/下载:4/0
  |  
提交时间:2017/12/03
Nexus
Solar power infrastructure
Industrial water use
Surprisingly high amount
GREENHOUSE-GAS EMISSIONS
INPUT-OUTPUT-ANALYSIS
LIFE-CYCLE
FOOTPRINT ASSESSMENT
CLIMATE-CHANGE
BIOGAS SYSTEM
5-YEAR PLAN
COAL
CONSUMPTION
RESOURCES
The Rapid Development of a Three-phase Grid-forming Micro-source Inverter
会议论文
2017 2nd International Conference on Power and Renewable Energy (ICPRE 2017), Chengdu, China, September 20-23, 2017
作者:
Hu B(胡博)
;
Gu WJ(谷万江)
;
Li XH(李先宏)
;
Zang CZ(臧传治)
;
Bian J(卞晶)
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  |  
浏览/下载:24/0
  |  
提交时间:2017/12/21
micro-source inverter
model design method
sliding mode control
PI control
The impact of CCS readiness on the evolution of China's electric power sector
会议论文
Lausanne, SWITZERLAND, NOV 14-18, 2016
作者:
Dahowski, Robert T.
;
Davidson, Casie L.
;
Yu, Sha
;
Horing, Jill D.
;
Wei, Ning
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浏览/下载:31/0
  |  
提交时间:2018/06/05
CCS
China
power sector
INDC
technological readiness
GCAM
COP-21
Research on wind power ramp events prediction based on strongly convective weather classification
期刊论文
IET RENEWABLE POWER GENERATION, 2017, 卷号: 11, 期号: 8
作者:
Xiong, Yi
;
Zha, Xiaoming
;
Qin, Liang
;
Ouyang, Tinghui
;
Xia, Tian
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浏览/下载:10/0
  |  
提交时间:2019/12/05
wind power
weather forecasting
power grids
wind power ramp event prediction
convective weather classification
convective weather dynamics behaviour
convective weather thermodynamic behaviour
support vector domain description
ramps scenario classification
extremum model
power grid
catastrophe detection method
convective weather forecasting
wind power ramp forecasting method
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