基于概率图像灰度比对算法的远洋海岛可再生能源机组配置方案优选策略研究

Suyang Ding, Zhuangzhuang Yu, Xiangning Lin, Zheyuan Zhang*, Zhixun Wang, Zhengtian Li, Chong Chen, Zhe Chen, Jiakun Fang

*Kontaktforfatter

Publikation: Bidrag til tidsskriftTidsskriftartikelpeer review

5 Citationer (Scopus)

Abstrakt

As the pelagic islands cannot rely on the support from the main power grid, together with the extreme long fuel replenishment line, the traditional energy generation configuration methods cannot be directly applied for configuring the renewable energy generation units of pelagic islands. Instead, the abundant renewable energy should be the major support of pelagic island power supply system. To solve this problem, the appropriate probabilistic models of renewable energy generation and island electrical loads were established in this paper. On the basis of above, a normalized product correlation (NPROD) based scheme optimally-selecting strategy was proposed, which can effectively support the base load and realize the perfect matching between the generation and the load demand of pelagic island energy supply system. Finally, the rationality and superiority of the proposed strategy was verified through extensive case studies.
Bidragets oversatte titelThe Optimum Strategy of Renewable Energy Generation Configuration Schemes in Pelagic Islands Based on Gray Matching Algorithm of Probabilistic Image
OriginalsprogKinesisk
TidsskriftZhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering
Vol/bind38
Udgave nummer19
Sider (fra-til)5653-5667
Antal sider15
ISSN0258-8013
DOI
StatusUdgivet - okt. 2018

Emneord

  • Generation expansion planning
  • Grayscale comparison algorithm
  • New energy sources
  • Pelagic islands

Fingeraftryk

Dyk ned i forskningsemnerne om '基于概率图像灰度比对算法的远洋海岛可再生能源机组配置方案优选策略研究'. Sammen danner de et unikt fingeraftryk.

Citationsformater