Key issues of wind capacity integration in congested areas of the Taiwan power system

被引:7
作者
Chen, Chun-Lung [1 ]
机构
[1] Natl Taiwan Ocean Univ, Dept Marine Engn, Keelung 20224, Taiwan
关键词
dynamic programming; power generation economics; power generation scheduling; wind power plants; wind capacity integration; Taiwan power system; wind power penetrations; isolated power systems; wind plant; multiarea isolated system; production cost models; unit commitment; utility operations; economic sharing; thermal generation scheduling; wind capacity; heuristic strategies; UC software; Numerical experiments; wind generator capacity; transmission capacity limits; wind power penetration; DYNAMIC-PROGRAMMING APPROACH; UNIT COMMITMENT; RESERVE; GENERATION; DISPATCH;
D O I
10.1049/iet-rpg.2012.0366
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
As wind power penetrations increase in isolated power systems, it is very important to understand how variations in wind plant outputs affect the operation of the multi-area isolated system on a day-to-day basis and what the associated costs are. Production cost models need to be further advanced to adequately simulate utility operations and unit commitment (UC) of generation in response to higher wind penetrations. In this study, the dynamic programming (DP) algorithm is extended to facilitate economic sharing of generation and reserve across areas and to coordinate wind and thermal generation scheduling in isolated power systems with large integration of wind capacity. Five heuristic strategies are incorporated in the DP algorithm to improve solution quality and performance. Four important issues of wind capacity integration in congested areas of the Taiwan power system are also investigated and discussed by using the developed UC software. Numerical experiments are included to understand wind generator capacity in production cost analysis and to illustrate the effect of transmission capacity limits on wind power penetration level in each area.
引用
收藏
页码:10 / 21
页数:12
相关论文
共 24 条
[1]   Overview of wind power intermittency impacts on power systems [J].
Albadi, M. H. ;
El-Saadany, E. F. .
ELECTRIC POWER SYSTEMS RESEARCH, 2010, 80 (06) :627-632
[2]  
[Anonymous], 2013, Power generation, operation, and control
[3]  
[Anonymous], IEEE T PWRS
[4]  
[Anonymous], RENEWABLE SUSTAINABL
[5]   A Study of Optimal Nonfirm Wind Capacity Connection to Congested Transmission Systems [J].
Burke, Daniel J. ;
O'Malley, Mark J. .
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2011, 2 (02) :167-176
[6]   Simulated annealing-based optimal wind-thermal coordination scheduling [J].
Chen, C. L. .
IET GENERATION TRANSMISSION & DISTRIBUTION, 2007, 1 (03) :447-455
[7]   Optimal wind-thermal coordination dispatch in isolated power systems with large integration of wind capacity [J].
Chen, Chun-Lung ;
Lee, Tsung-Ying ;
Jan, Rong-Mow .
ENERGY CONVERSION AND MANAGEMENT, 2006, 47 (18-19) :3456-3472
[8]   BRANCH-AND-BOUND SCHEDULING FOR THERMAL GENERATING-UNITS [J].
CHEN, CL ;
WANG, SC .
IEEE TRANSACTIONS ON ENERGY CONVERSION, 1993, 8 (02) :184-189
[9]   Direct search method for solving economic dispatch problem considering transmission capacity constraints [J].
Chen, CL ;
Chen, NM .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2001, 16 (04) :764-769
[10]   Security-constrained unit commitment with wind generation and compressed air energy storage [J].
Daneshi, H. ;
Srivastava, A. K. .
IET GENERATION TRANSMISSION & DISTRIBUTION, 2012, 6 (02) :167-175