Stochastic Multiperiod OPF Model of Power Systems With HVDC-Connected Intermittent Wind Power Generation

被引:66
作者
Rabiee, Abbas [1 ]
Soroudi, Alireza [2 ]
机构
[1] Univ Zanjan, Fac Engn, Dept Elect Engn, Zanjan, Iran
[2] Univ Tehran, Fac New Sci & Technol, Dept Renewable Energies & Environm Sci, Tehran, Iran
关键词
HVDC; optimal power flow (OPF); scenario-based modeling; uncertainty; wind power; DISTRIBUTED GENERATION; ALLOCATION; STABILITY; DISPATCH; SCHEME; FARMS;
D O I
10.1109/TPWRD.2013.2259600
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
This paper presents a new model for a stochastic multiperiod optimal power-flow (SMP-OPF) problem which includes an offshore wind farm connected to the grid by a line-commutated converter high-voltage dc link. The offshore wind farm is composed of doubly fed induction generators (DFIGs), and the DFIG's capability curve is considered in order to obtain a more realistic dispatch for wind farms. The uncertainties of wind power generation are also taken into account using a scenario-based approach which can be adopted by the system operator to obtain the optimal active and reactive power schedules for thermal and wind power generation units. To illustrate the effectiveness of the proposed approach, it is applied on the IEEE 118-bus test system. The obtained results demonstrate the capability of the proposed SMP-OPF model for the determination of the optimal operation of power systems.
引用
收藏
页码:336 / 344
页数:9
相关论文
共 50 条
[31]   The Value of Operational Flexibility in Power Systems with Significant Wind Power Generation [J].
Bouffard, Francois ;
Ortega-Vazquez, Miguel .
2011 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING, 2011,
[32]   Dependable Capacity Evaluation of Wind Power and Solar Power Generation Systems [J].
Naksrisuk, Chatbordin ;
Audomvongseree, Kulyos .
2013 10TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING/ELECTRONICS, COMPUTER, TELECOMMUNICATIONS AND INFORMATION TECHNOLOGY (ECTI-CON), 2013,
[33]   Damping torque analysis of power systems with DFIGs for wind power generation [J].
Du, Wenjuan ;
Bi, Jingtian ;
Lv, Chen ;
Littler, Tim .
IET RENEWABLE POWER GENERATION, 2017, 11 (01) :10-19
[34]   Assessment of wind power scenario creation methods for stochastic power systems operations [J].
Rachunok, Benjamin ;
Staid, Andrea ;
Watson, Jean-Paul ;
Woodruff, David L. .
APPLIED ENERGY, 2020, 268
[35]   A stochastic unit-commitment model for the evaluation of the impacts of integration of large amounts of intermittent wind power [J].
Barth, R. ;
Brand, H. ;
Meibom, P. ;
Weber, C. .
2006 INTERNATIONAL CONFERENCE ON PROBABILISTIC METHODS APPLIED TO POWER SYSTEMS, VOLS 1 AND 2, 2006, :26-33
[36]   A New Way of Maximum Injection Power Calculation of Wind Farms Connected to Power Systems [J].
Yang, Qi ;
Zhang, Jianhua ;
Yang, Jun .
2010 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2010,
[37]   Review of wind power scenario generation methods for optimal operation of renewable energy systems [J].
Li, Jinghua ;
Zhou, Jiasheng ;
Chen, Bo .
APPLIED ENERGY, 2020, 280 (280)
[38]   Stochastic security for operations planning with significant wind power generation [J].
Bouffard, Francois ;
Galiana, Francisco D. .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2008, 23 (02) :306-316
[39]   Stochastic Security for Operations Planning with Significant Wind Power Generation [J].
Bouffard, Francois ;
Galiana, Francisco D. .
2008 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, VOLS 1-11, 2008, :1403-1413
[40]   Wind forecasts for wind power generation using the Eta model [J].
Lazic, Lazar ;
Pejanovic, Goran ;
Zivkovic, Momcilo .
RENEWABLE ENERGY, 2010, 35 (06) :1236-1243