Multiple Time Scales Scheduling Strategy of Wind Power Accommodation Considering Energy Transfer Characteristics of Carbon Capture Power Plant

被引:0
|
作者
Cui Y. [1 ]
Zeng P. [1 ]
Wang Z. [2 ]
Wang M. [3 ]
Zhang J. [3 ]
Zhao Y. [1 ]
机构
[1] Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education, Northeast Electric Power University, Jilin
[2] Dispatching and Control Center, State Grid Gansu Electric Power Company, Lanzhou
[3] Dispatching and Control Center, Qinghai Electric Power Corporation, Xining
基金
中国国家自然科学基金;
关键词
CPLEX; Multiple time scales; Prediction accuracy; Regulation rate; Wind power accommodation;
D O I
10.13334/j.0258-8013.pcsee.200120
中图分类号
学科分类号
摘要
Wind power prediction accuracy and the regulation rate of thermal power plants have a greater impact on wind power accommodation. Considering that the wind power forecasting accuracy is improved with the shortening of the forecasting time scale, while taking into account the deeper regulation range and faster regulation rate of carbon capture power plants, a multiple time scales optimization scheduling strategy to improve the power system's wind power accommodation level was proposed. Firstly, it was divided into day-ahead, intra-day, and real-time dispatching phases, and the correlation between the various phases was analyzed. The dispatching strategies of carbon capture power plants at different time scales were studied, and their rationality for solving the problem of wind power accommodation was analyzed. Secondly, a three-time scales optimization scheduling model including day-ahead, intra-day and real-time phases was established. And the relationship between the carbon capture power plants adjustment and the wind power adjustment was analyzed in real-time phase. Finally, based on the IEEE 39-node power grid model and CPLEX, the effectiveness of the method in this paper against wind power accommodation and load loss was simulated and verified. © 2021 Chin. Soc. for Elec. Eng.
引用
收藏
页码:946 / 960
页数:14
相关论文
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