Evaluation on available transfer capability of power system considering wind speeds correlation

被引:0
|
作者
Zhang, Limei [1 ]
Liu, Yongfu [1 ]
Wang, Jun [2 ,3 ]
机构
[1] College of Information Science and Technology, Agricultural University of Hebei, Baoding, China
[2] School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin, China
[3] College of Information and Electric Engneering, Shenyang Agricultural University, Shenyang, China
来源
Journal of Software Engineering | 2015年 / 9卷 / 04期
关键词
Available transfer capability - Evaluation - Fast voltage stability indices - Inequality constraint - Modern interior point methods - Optimal power flows - Rank correlation coefficient - Wind power forecast;
D O I
10.3923/jse.2015.749.760
中图分类号
学科分类号
摘要
The output power of wind turbines or wind farms depends on wind speeds, which may have certain correlation in one region or even in different repons. When the wind speeds correlation is ignored, it will have a significant influence on Available Transfer Capability (ATC) of power system with wind farms. This study established a random variables simulation method considering wind speeds correlation to more accurately evaluate ATC. The proposed methods are concerned with rank correlation coefficient, Copula theory and Monte Carlo Simulation (MCS), which are simple and easy to implement. In addition, the evaluation models for ATC were built on based of Optimal Power Flow (OPF) and Fast Voltage Stability Indices (FVSI) was considered as inequality constraints in order to guarantee the voltage stability of system. The modern interior point method was applied to solve the proposed models. Simulations are carried out on IEEE 118-bus system. The results show effectiveness and availability of the proposed method in evaluating on ATC of power system considering wind speeds correlation. The conclusion can provide a technical support for the ATC evaluation and decision-making as well as wind power forecast. © 2015 Academic Journals Inc.
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页码:749 / 760
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