Reliability assessment of composite generation and transmission system containing wind farms

Wu, Linwei; Zhang, Jianhua; Zhang, Min; Liu, Ruoxi; Xingyang, Zhu; Liu, Wenxia

doi:10.1109/isgt-asia.2012.6303242

Cited by 1 publication

(1 citation statement)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The following will compare the impacts of different meteorological elements from different terrains on power prediction and ultimately select the minimum set of meteorological elements for wind power generation in high-altitude mountainous regions through correlation analysis. There are many factors that influence wind power generation, and we will focus on the following four aspects [6,7,8,9,10,11,12].…”

Section: Analysis Of Mountain Wind Power Characteristicsmentioning

confidence: 99%

Analysis of Factors Influencing Mountain Wind Power Generation Based on Grey Relational Analysis

Dang

2023

Advances in Economics, Business and Management Research

View full text Add to dashboard Cite

With the growing demand for renewable energy, mountain wind farms have attracted significant attention as an important clean energy generation method. However, the rapid changes in mountainous meteorological data and the complexity of terrain pose challenges for wind power forecasting in these areas. This paper aims to analyze the characteristics of mountain wind farms and the key factors involved in predicting wind power. Based on the grey relational analysis method, this study explores the factors influencing the power generation of mountain wind farms.By collecting and preprocessing data such as wind speed, wind direction, temperature, air pressure, and air density, the grey relational analysis method is employed to calculate the correlation between the influencing factors and wind power generation. By comparing the impact weights of different terrains and meteorological elements on power prediction, suitable meteorological elements for wind power generation in high-altitude mountainous regions are determined. The results indicate that wind speed is the primary factor determining wind power output, while wind direction plays a secondary role. In mountainous scenarios, air density also emerges as one of the influencing factors affecting wind power generation.

show abstract

Section: Analysis Of Mountain Wind Power Characteristicsmentioning

confidence: 99%

Analysis of Factors Influencing Mountain Wind Power Generation Based on Grey Relational Analysis

Dang

2023

Advances in Economics, Business and Management Research

View full text Add to dashboard Cite

show abstract

Reliability assessment of composite generation and transmission system containing wind farms

Cited by 1 publication

References 10 publications

Analysis of Factors Influencing Mountain Wind Power Generation Based on Grey Relational Analysis

Analysis of Factors Influencing Mountain Wind Power Generation Based on Grey Relational Analysis

Contact Info

Product

Resources

About