Weather-Based Optimal Power Flow With Wind Farms Integration

被引:49
作者
Cao, Jun [1 ]
Du, W. [1 ]
Wang, H. F. [1 ]
机构
[1] North China Elect Power Univ, State Key Lab Alternate Elect Power Syst Renewabl, Beijing 102206, Peoples R China
基金
中国国家自然科学基金;
关键词
Dynamic line rating (DLR); electro-thermal coupling; weather effects; weather-based optimal power flow (WB-OPF); wind generation; SYSTEMS; MODEL;
D O I
10.1109/TPWRS.2015.2488662
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In conventional optimal power flow (OPF), parameters of electrical components such as resistance and thermal ratings of the overhead lines, are assumed to be constant despite the fact that they are strongly sensitive to the weather effect (e.g., temperature or wind speed) which influences the accuracy of optimal power flow results. This paper introduces a weather-based optimal power flow (WB-OPF) algorithm with wind farm integration by considering the temperature related resistance and dynamic line rating (DLR) of overhead transmission lines. A method of calculating the current-temperature relationship of bare overhead lines, given the weather conditions, is presented as a set of coupled temperature and power flow equations. A simplified general model is proposed to calculate the dynamic line rating (DLR) for maximizing the utilization of wind power. A Primal-dual Interior Point (PDIP) method is developed to solve the WB-OPF problem. The effectiveness of the proposed method is evaluated and demonstrated in the paper by two example power systems.
引用
收藏
页码:3073 / 3081
页数:9
相关论文
共 26 条
[1]  
Ackermann T, 2005, WIND POWER IN POWER SYSTEMS, P1, DOI 10.1002/0470012684
[2]  
[Anonymous], 2009, P 2009 CIGRE IEEE PE
[3]  
Bamane P. D., 2014, 2014 International Conference on Computation of Power, Energy, Information and Communication (ICCPEIC), P321, DOI 10.1109/ICCPEIC.2014.6915384
[4]   Transmission line conductor temperature impact on state estimation accuracy [J].
Bockarjova, Marija ;
Andersson, Goeran .
2007 IEEE LAUSANNE POWERTECH, VOLS 1-5, 2007, :701-706
[5]   Dynamic line rating systems for wind power integration [J].
Fernandez, E. ;
Albizu, I. ;
Bedialauneta, M. T. ;
Mazon, A. J. ;
Leite, P. T. .
2012 IEEE POWER ENGINEERING SOCIETY CONFERENCE AND EXPOSITION IN AFRICA (POWERAFRICA), 2012,
[6]  
Frank S., 2013, Temperature-dependent power flow
[7]   Temperature-Dependent Power Flow [J].
Frank, Stephen ;
Sexauer, Jason ;
Mohagheghi, Salman .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2013, 28 (04) :4007-4018
[8]  
Fu J., 2011, P OPT FIB COMM C EXP, P1
[9]   A Framework for Optimal Placement of Energy Storage Units Within a Power System With High Wind Penetration [J].
Ghofrani, Mahmoud ;
Arabali, Amirsaman ;
Etezadi-Amoli, Mehdi ;
Fadali, Mohammed Sami .
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2013, 4 (02) :434-442
[10]   An economic dispatch model incorporating wind power [J].
Hetzer, John ;
Yu, David C. ;
Bhattarai, Kalu .
IEEE TRANSACTIONS ON ENERGY CONVERSION, 2008, 23 (02) :603-611