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/10.1088/1742-6596/1993/1/012009Additional details
Identifiers
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