Wind farm generation schedule strategy considering wind power uncertainty

被引：0
|
作者：
Zhang F. [1 ]
Zhang P. [2 ]
Liang J. [1 ]
机构：
[1] Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education, Shandong University, Jinan
[2] Linyi Power Supply Company of State Grid Shandong Electric Power Company, Linyi
来源：
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2019年 / 39卷 / 11期
关键词：
Battery; Day-ahead generation schedule; Expected income; Scenario generation; Spinning reserve; Wind power;
D O I：
10.16081/j.epae.201911012
中图分类号：
学科分类号：
摘要：
The uncertainties of the next day's wind farm output are described by multi-scenario generation method. Battery storage and spinning reserves purchase mechanisms are modeled and incorporated into the wind farm revenue expectation model. Referring to the current time-of-use price policy for the electricity market and targeting the maximum expected daily income on wind farm, the optimal strategy for the day-ahead generation schedule is presented. The reporting strategy is based on the history power data of wind farm. The statistical analysis of the data obtains the distribution characteristics of the wind power prediction error. Considering the influence of the wind power prediction error on the economic performance of the next day wind farm, the day-ahead reporting power of the wind farm is determined based on the optimal economic performance of the wind farm. The example results show that this strategy not only improves the operational economic benefit of wind farm, but also increases the efficiency of energy storage utilization. © 2019, Electric Power Automation Equipment Press. All right reserved.
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页码：34 / 40
页数：6
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