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科研机构
兰州理工大学 [2]
大连理工大学 [1]
自动化研究所 [1]
内容类型
会议论文 [4]
发表日期
2019 [4]
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发表日期:2019
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Multi-source coordination and scheduling strategy of new energy with high proportion of wind power, photovoltaic and photothermal
会议论文
Yichang, China, September 6, 2019 - September 9, 2019
作者:
Wei, Xiong
;
Xiaoying, Zhang
;
Kun, Wang
;
Wei, Chen
;
Xiaolan, Wang
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2020/11/15
Electric power system economics
Electric power transmission networks
Energy efficiency
Fossil fuel power plants
Integer programming
Linear programming
MATLAB
Photovoltaic cells
Scheduling
Smart power grids
Solar power generation
Wind power
Coordinated scheduling
Grid efficiency
New energies
Objective to optimize
Photovoltaic
A GPU Based Parallel Genetic Algorithm for the Orientation Optimization Problem in 3D Printing
会议论文
Montreal, Canada, May 20-24, 2019
作者:
Li, Zhishuai
;
Xiong, Gang
;
Zhang, Xipeng
;
Shen, Zhen
;
Luo, Can
收藏
  |  
浏览/下载:57/0
  |  
提交时间:2019/10/10
Orientation Optimization
Gpu
Parallel Computing
Genetic Algorithm
Additive Manufacturing
A novel pareto archive evolution algorithm with adaptive grid strategy for multi-objective optimization problem
会议论文
Porto, Portugal, May 6, 2019 - May 8, 2019
作者:
Zhao, Fuqing
;
He, Xuan
;
Zhang, Yi
;
Ma, Weimin
;
Zhang, Chuck
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2020/11/15
Genetic algorithms
Interactive computer systems
Adaptive grids
Multi-objective problem
Non-Dominated Archive
Pareto archived evolution strategies
Pareto front
Multi-objective capacity optimal design of standalone PV DC microgrid system
会议论文
8th International Conference on Power and Energy Systems, ICPES 2018, Colombo, Sri lanka, 2018-12-21
作者:
Zhang, Li
;
Mu, Dandan
;
He, Zheng
;
Sun, Junbin
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  |  
浏览/下载:6/0
  |  
提交时间:2019/12/02
Electric energy storage
Electric power systems
Genetic algorithms
Multiobjective optimization
Optimal systems, Dc micro-grid
Energy storage components
Loss of power supply probability
Multi-objective problem
Optimal design
Renewable energies
Renewable energy penetrations
Weighted average method, Sensitivity analysis
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