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.
Authors
- Ye Zhang (ORCID: https://orcid.org/0009-0009-4651-8917)
- Zhanwen Feng
- Zhiqiang Pan (ORCID: https://orcid.org/0000-0003-0771-8261)
Institutions
- State Grid Corporation of China (China) (CN)
- Ion Exchange (India) (IN)
- Shanghai Electric (China) (CN)
Publication Details
- Published
- 2025-06-30
- DOI
- https://doi.org/10.1117/12.3067255
- Primary Topic
- Advanced Algorithms and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00