Probabilistic Assessment of TTC in Power Systems Including Wind Power Generation

被引：40

作者：

Falaghi, Hamid ^{[1
]}

Ramezani, Maryam ^{[1
]}

Singh, Chanan ^{[2
]}

Haghifam, Mahmood-Reza ^{[3
]}

机构：

[1] Univ Birjand, Dept Elect Engn, Birjand, Iran

[2] Texas A&M Univ, Dept Elect & Comp Engn, College Stn, TX 77843 USA

[3] Tarbiat Modares Univ, Fac Elect & Comp Engn, Tehran, Iran

来源：

IEEE SYSTEMS JOURNAL | 2012年 / 6卷 / 01期

关键词：

Monte Carlo simulation; probabilistic generation; risk analysis; total transfer capability (TTC); wind farm (WF); AVAILABLE TRANSFER CAPABILITY;

D O I：

10.1109/JSYST.2011.2163029

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

080201 [机械制造及其自动化];

摘要：

Wind farms (WFs) are now being used for electric power generation in some parts of the world and their penetration is expected to increase significantly. With increasing penetration of WFs in electric power systems, modification of current tools for evaluating and managing the system is an important issue. Determination of total transfer capability (TTC) is one such tool and is of considerable importance in the restructured power systems. TTC is used to calculate maximum power that can be transferred between areas in a reliable manner and schedule future transactions and commercial activities. In this paper, a method is proposed for TTC evaluation in the presence of WFs. In the proposed approach, Monte Carlo method is used to simulate a system state and optimal power flow is used to calculate the TTC level for each state. Risk analysis is used as a decision-making tool to determine the appropriate TTC level. IEEE reliability test system is used to demonstrate the effectiveness of the proposed approach.

引用

页码：181 / 190

页数：10

共 25 条

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[2]

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[3]

[Anonymous], 1996, AV TRANSF CAP DEF DE

[4]

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