Published August 1, 2021 | Version v1
Journal article

Research on Output Scenarios of Offshore Wind Power Considering Characteristics of Marine Weather

  • 1. Power System Planning Research Center of Guangdong Power Grid Co., Ltd., Guangzhou 510080, Guangdong Province (China)
  • 2. State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan 430074, Hubei Province (China)
  • 3. Guangdong Power Grid Co., Ltd., Guangzhou 510080, Guangdong Province (China)

Description

Accurate modeling of stochastic wind power output is one of the key links in the optimal operation of power systems with large-scale wind power. According to the output characteristics of offshore wind farms, a data-driven method that models offshore wind power output scenarios is proposed in this paper. This method takes full account of the marine climate characteristics to study the offshore wind farm output data seasonally and identifies the main climatic elements affecting the output of offshore wind farms through correlation analysis. Meanwhile, the evaluation index of output characteristics is established. In order to reflect the influence of marine climate on the output of offshore wind farms, the climatic factors are used as an indicator to distinguish different weather. Accordingly, the output scenarios of offshore wind farms in extreme and non-extreme weather are determined, and the corresponding probability calculation method is proposed. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1742-6596/1993/1/012009

Additional details

Publishing Information

Journal Title
Journal of Physics. Conference Series (Online)
Journal Volume
1993
Journal Issue
1
Journal Page Range
[7 p.]
ISSN
1742-6596

Conference

Title
14. International Conference on Computer and Electrical Engineering (ICCEE)
Dates
25-27 Jun 2021
Place
Beijing (China)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
53088809
Subject category
S17: WIND ENERGY; S54: ENVIRONMENTAL SCIENCES;
Resource subtype / Literary indicator
Conference
Descriptors DEI
CALCULATION METHODS; CLIMATES; COMPUTERIZED SIMULATION; POWER SYSTEMS; STOCHASTIC PROCESSES; WEATHER; WIND POWER; WIND TURBINE ARRAYS
Descriptors DEC
ENERGY SOURCES; ENERGY SYSTEMS; POWER; RENEWABLE ENERGY SOURCES; SIMULATION