Economic operation of wind farm integrated system considering voltage stability

被引：14

作者：

Ai, Qian ^{[1
]}

Gu, Chenghong ^{[1
]}

机构：

[1] Shanghai Jiao Tong Univ, Dept Elect Engn, Shanghai 200240, Peoples R China

来源：

RENEWABLE ENERGY | 2009年 / 34卷 / 03期

基金：

中国国家自然科学基金;

关键词：

Power System; Dynamic optimal power flow; Voltage stability; Interior point method; L-indicator; Wind farms; TURBINES; MODELS; SPEED; NETWORKS;

D O I：

10.1016/j.renene.2008.05.035

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Wind farms interconnected to power system bring new challenges to power system economic operation. It is imperative to study how to solve optimal power flow (OPF) formulation with wind farms. In this paper, a multi-period optimal power flow (DOPF) is studied based on traditional OPF algorithm. According to the characteristic equations of asynchronous generator, the paper deduces a new algorithm that fits the DOPF formulation with wind farms. Based on the primal-dual interior point algorithm (PDIPM), a new modified algorithm is proposed. Besides, the voltage stability indicator, L-indicator, is also introduced into DOPF to demonstrate voltage stability of power system after wind farms incorporation. By taking SVC reactive power compensation into account, the paper analyzes its influences on system voltage stability. In addition, four different static load models are researched to reveal their effects on system-operating characteristics. An example shows the algorithm's effectiveness and computation performance of the proposed method and several conclusions are obtained as well. (C) 2008 Elsevier Ltd. All rights reserved.

引用

页码：608 / 614

页数：7

共 19 条

[1]

ANDRES EF, 2000, MODERN POWER SYSTEMS, V15, P110

[2]

Chen JC, 2005, EURASIP J APPL SIG P, V2005, P1, DOI 10.1155/ASP.2005.1

[3]

Chen Jin-fu, 2006, Proceedings of the CSEE, V26, P31

[4] Grid power quality with variable speed wind turbines [J].

Chen, Z ;

Spooner, E .

IEEE TRANSACTIONS ON ENERGY CONVERSION, 2001, 16 (02) :148-154

[5] Aneurysm shrinkage after endovascular repair of aortic diseases [J].

Cheng, SH ;

Kato, N ;

Shimono, T ;

Shinpo, H ;

Ishida, M ;

Hirano, T ;

Takeda, K .

CLINICAL IMAGING, 2006, 30 (01) :22-26

[6] Wind speed simulation in wind farms for steady-state security assessment of electrical power systems [J].

Feijóo, AE ;

Cidrás, J ;

Dornelas, JLG .

IEEE TRANSACTIONS ON ENERGY CONVERSION, 1999, 14 (04) :1582-1588

[7]

HA LT, 2004, 2004 POW ENG SOC GEN, V2, P2251

[8] Time series models to simulate and forecast hourly averaged wind speed in Quetta, Pakistan [J].

Kamal, L ;

Jafri, YZ .

SOLAR ENERGY, 1997, 61 (01) :23-32

[9] Wind power forecasting using advanced neural networks models. [J].

Kariniotakis, GN ;

Stavrakakis, GS ;

Nogaret, EF .

IEEE TRANSACTIONS ON ENERGY CONVERSION, 1996, 11 (04) :762-767

[10] ESTIMATING THE VOLTAGE STABILITY OF A POWER-SYSTEM [J].

KESSEL, P ;

GLAVITSCH, H .

IEEE TRANSACTIONS ON POWER DELIVERY, 1986, 1 (03) :346-354

← 1 2 →