Day-ahead probabilistic optimal dispatching of source-load-storage based on probabilistic prediction model of wind power output

被引：0
|
作者：
Zhang Z. [1 ]
Zhang F. [1 ]
Yao W. [1 ]
机构：
[1] Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin
来源：
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2022年 / 42卷 / 07期
关键词：
coordinated dispatching of source-load-storage; day-ahead dispatching; kernel density estimation; probabilistic optimization; wind power;
D O I：
10.16081/j.epae.202205014
中图分类号：
学科分类号：
摘要：
In order to improve the ability of power system to cope with the uncertainty of wind power output，a day-ahead probabilistic optimal dispatching model of source-load-storage is constructed based on the probabilistic optimization method，which avoids the generation and reduction of a large number of scenarios while considering the probabilistic distribution of wind power output，and can consider the adjustment condition of conventional units after deviation of wind power output from the predicted value to achieve the optimal allocation of reserve capacity among each unit. When the day-ahead dispatching of energy storage equipment is carried out，the upper limit of charging and discharging power of energy storage equipment is dynamically adjusted according to the variation of the state of charge，and the mathematical model of the energy storage equipment is improved to avoid overcharging and overdischarging of energy storage equipment. The IEEE 6-bus system is adopted for case analysis to verify the validity of the constructed model. © 2022 Electric Power Automation Equipment Press. All rights reserved.
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页码：190 / 197
页数：7
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