Analysis of influencing factors of new energy consumption based on best worst method

The output of new energy is influenced by natural conditions such as light and wind speed, which shows obvious randomness and fluctuation, resulting in serious abandonment of wind and light in some areas. This paper aims to analyze the main factors that affect the consumption of new energy in Liaoning, and put forward corresponding improvement suggestions. By constructing an analysis model based on the best-worst method (BWM), this paper studies the influencing factors of new energy consumption, including its own output characteristics and external conditions. The research results show that the uncertainty in the output characteristics of new energy and the anti-peak characteristics are the key factors that lead to the difficulty of new energy consumption, while external conditions such as load characteristics and grid construction also have a significant impact on new energy consumption. In view of these factors, this paper puts forward some improvement suggestions, such as improving load side response ability and optimizing distribution network planning, which has important theoretical and practical significance.

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Publication Details

Published
2025-06-30
DOI
https://doi.org/10.1117/12.3067255
Primary Topic
Advanced Algorithms and Applications
Type
article
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article

Analysis of influencing factors of new energy consumption based on best worst method

Ye Zhang, Zhanwen Feng, Zhiqiang Pan
Advanced Algorithms and Applications
article

Analysis of influencing factors of new energy consumption based on best worst method

Ye Zhang, Zhanwen Feng, Zhiqiang Pan
article en

Abstract

The output of new energy is influenced by natural conditions such as light and wind speed, which shows obvious randomness and fluctuation, resulting in serious abandonment of wind and light in some areas. This paper aims to analyze the main factors that affect the consumption of new energy in Liaoning, and put forward corresponding improvement suggestions. By constructing an analysis model based on the best-worst method (BWM), this paper studies the influencing factors of new energy consumption, including its own output characteristics and external conditions. The research results show that the uncertainty in the output characteristics of new energy and the anti-peak characteristics are the key factors that lead to the difficulty of new energy consumption, while external conditions such as load characteristics and grid construction also have a significant impact on new energy consumption. In view of these factors, this paper puts forward some improvement suggestions, such as improving load side response ability and optimizing distribution network planning, which has important theoretical and practical significance.

State Grid Corporation of China (China) (CN), Ion Exchange (India) (IN), Shanghai Electric (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 83%
Advanced Algorithms and Applications
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