Analysis Model of Wind Power Cost Based on Two-Factor Learning Curve

2012 ◽  
Vol 608-609 ◽  
pp. 611-614
Author(s):  
Jun Jie Kang ◽  
Wei Duan ◽  
Ming Tao Yao
Keyword(s):  
Power Generation ◽  
Learning Curve ◽  
Wind Power ◽  
Wind Power Generation ◽  
Future Price ◽  
Analysis Model ◽  
Power Cost ◽  
Curve Model

The components of wind power cost are analyzed firstly, which provide an intuitive explanation for understanding the composition of wind power generation. And then a two-factor learning curve model is developed for forecasting future price of wind power. We use the model for practical forecasting and simulating wind power cost from 2012 to 2020, the results obtained demonstrate the credibility and validity of the model.

Analysis of China’s regional wind power generation efficiency and its influencing factors

2018 ◽  
Vol 30 (2) ◽  
pp. 254-271 ◽  
Author(s):  
Xiongfeng Pan ◽  
Jing Zhang ◽  
Changyu Li ◽  
Xianyou Pan ◽  
Jinbo Song
Keyword(s):  
Power Generation ◽  
Wind Power ◽  
Influencing Factors ◽  
Geographical Location ◽  
Wind Power Generation ◽  
Data Envelopment Analysis Model ◽  
Eastern Region ◽  
Analysis Model ◽  
Generation Efficiency ◽  
Technology Gap

Based on the data of 30 Chinese provinces from 2011 to 2014, we use a meta-frontier data envelopment analysis model and a symbolic regression method to study wind power generation efficiency and its influencing factors. From our analytical results, the main findings are as follows: (1) The wind power generation efficiency of the eastern region is the highest, followed by the western region, and the wind power generation efficiency of the central region is the lowest. (2) The technology gap ratio of eastern region is at a high level and is stable. In contrast, the technology gap ratios of the central and western regions are at a low level and have a larger fluctuation range. (3) The room for improving internal management is huge in the three regions of China mainland, but the advancement of technical level only in the Central and Western is significant. (4) Geographical location has the most impact on wind power generation efficiency, followed by technical progress and carbon regulation, while wind energy reserve has the least impact on wind power generation efficiency.

Novel Synchronous Generator for Wind Power Generation

2014 ◽  
Vol 2 ◽  
pp. 170-173
Author(s):  
Tsuyoshi Higuchi ◽  
Yuichi Yokoi
Keyword(s):  
Power Generation ◽  
Wind Power ◽  
Synchronous Generator ◽  
Wind Power Generation

Development of a City Type Compact Wind Power Generation System

2005 ◽  
Vol 125 (11) ◽  
pp. 1016-1021 ◽  
Author(s):  
Yoshihisa Sato ◽  
Naotsugu Yoshida ◽  
Ryuichi Shimada
Keyword(s):  
Power Generation ◽  
Wind Power ◽  
Wind Power Generation ◽  
Generation System ◽  
Power Generation System

Conceptual Study of Power System Stabilization and Supply-Demand Balancing for Expansion of the Introduction of Wind Power Generation in Poland

2013 ◽  
Vol 133 (4) ◽  
pp. 350-357 ◽  
Author(s):  
Hiroaki Sugihara ◽  
Akihiro Ogawa ◽  
Manabu Kuramoto ◽  
Fumio Ishikawa ◽  
Hideo Yata ◽  
...  
Keyword(s):  
Power Generation ◽  
Power System ◽  
Wind Power ◽  
Wind Power Generation ◽  
Conceptual Study
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