| Autor: |
Shichao WANG, Jiachang LIU, Zhanzhi LIU |
| Jazyk: |
English<br />Chinese |
| Rok vydání: |
2023 |
| Předmět: |
|
| Zdroj: |
南方能源建设, Vol 10, Iss 1, Pp 39-47 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2095-8676 |
| DOI: |
10.16516/j.gedi.issn2095-8676.2023.01.005 |
| Popis: |
[Introduction] To reduce fossil energy consumption and mitigate environmental pollution, offshore wind power is one of the effective ways to solve the problem. However, there are some problems in offshore wind power, such as strong intermittency, large volatility and bidirectional peak shaving. Therefore, it is of great significance to study the output characteristic curve of offshore wind power. [Method] In this paper, a Gaussian Mixture Model (GMM) based on Bayesian Information Criterion was proposed. The original output curve of offshore wind power was classified and the characteristic curve was extracted. [Result] The characteristic curve of offshore wind power which can reflect the characteristics of different wind areas is obtained, and it is applied to the calculation of electric quantity balance of offshore wind power output. [Conclusion] At last, the effectiveness of the proposed method is verified by taking the original offshore wind power output curves of different sea wind areas under the installed capacity of 15 GW of offshore wind power in a coastal province as the research object. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
