Generation Scheduling Optimization of Wind-Energy Storage System Based on Wind Power Output Fluctuation Features

As the output from wind power generation is intermittent in nature, making the wind power output "dependable" is critical for seamless integration of wind generation. One of the most favorable solutions is incorporating energy storage system (ESS) with wind farms to establish a wind-energy...

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Bibliographic Details
Published inIEEE transactions on industry applications Vol. 54; no. 1; pp. 10 - 17
Main Authors Shi, Jie, Lee, Wei-Jen, Liu, Xiaofei
Format Journal Article
LanguageEnglish
Published IEEE 01.01.2018
Subjects
Energy storage
Fluctuations
Forecasting
Frequency-domain analysis
Generation scheduling
Job shop scheduling
power fluctuation
quantization index (QI)
Wind farms
wind power forecasting
Wind power generation
wind-energy storage hybrid system
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Summary:As the output from wind power generation is intermittent in nature, making the wind power output "dependable" is critical for seamless integration of wind generation. One of the most favorable solutions is incorporating energy storage system (ESS) with wind farms to establish a wind-energy storage hybrid system. Since it requires capital investment for ESS installation, it is important to estimate appropriate storage capacity and charging/discharging rate of ESS for desired applications. In this paper, the fluctuation feature of wind power output is analyzed both in time domain and frequency domain. The degree of fluctuation is extracted and illustrated as quantization index (QI). Based on QI clustering, the wind scenario with largest power fluctuation is selected as "worst performance," according to which, scheduling time horizon, along with the capacity and charging/discharging power of ESS, can be determined. After the case study, the proposed model is proved to improve the generation scheduling process.
ISSN:0093-9994
1939-9367
DOI:10.1109/TIA.2017.2754978