Comprehensive evaluation of wind farms using variation coefficient method and technique for order preference by similarity to ideal solution

被引:0
作者
Zhang, Wenchao [1 ]
Gu, Xueping [1 ]
机构
[1] School of Electrical and Electronic Engineering, North China Electric Power University, Baoding , 071003, Hebei Province
来源
Dianwang Jishu/Power System Technology | 2014年 / 38卷 / 10期
关键词
Comprehensive evaluation; New energy; TOPSIS; Variation coefficient method; Wind farms;
D O I
10.13335/j.1000-3673.pst.2014.10.019
中图分类号
学科分类号
摘要
It is hard to comprehensively and objectively evaluate the operation security of wind farms by single index, for this reason, based on variation coefficient method and technique for order preference by similarity to an ideal solution (TOPSIS) a comprehensive evaluation method for operation security of wind farms is proposed. Firstly, the variation coefficient method is used to calculate corresponding weights of all indices; secondly, the relative approach degree of each wind farm from corresponding sample point and the optimal sample point is calculated by TOPSIS, and then through the ranking of the calculated relative approach degree the comprehensive evaluation rank of wind farms is implemented. The high/low frequency ride through ability, low voltage ride through ability, voltage deviation at grid-connected point, dynamic response performance of SVC/SVG, active power control ability and power loss are chosen as evaluation indices for wind farms. Finally, taking the comprehensive operation security evaluation of wind farms located at a certain region as the case, the effectiveness and the feasibility of the proposed comprehensive evaluation method for wind farms are validated.
引用
收藏
页码:2741 / 2746
页数:5
相关论文
共 19 条
[1]  
Xu Y., Wu Y., Reliability evaluation for distribution system connected with wind-turbine generators, Power System Technology, 35, 4, pp. 154-158, (2011)
[2]  
Cui Y., Mu G., Liu Y., Et al., Spatiotemporal distribution characteristic of wind power fluctuation, Power System Technology, 35, 2, pp. 34-39, (2011)
[3]  
Xiao C., Wang N., Ding K., Et al., System power regulation scheme for Jiuquan wind power base, 30, 10, pp. 1-7, (2010)
[4]  
Han T., Lu J., Qiao L., Et al., Optimized scheme of energy-storage capacity for grid-connected large-scale wind farm, Power System Technology, 34, 1, pp. 33-37, (2010)
[5]  
Zeng M., Lu C., Qiu L., Et al., A demand-side response-based transmission planning model with grid-connected wind farms, Power System Technology, 35, 4, pp. 19-24, (2011)
[6]  
Li J., Xue Y., Xu B., Et al., An analytic hierarchy process based assessment method for power system transient models, Power System Technology, 37, 8, pp. 2208-2209, (2013)
[7]  
Xie C., Dong D., Duan K., Et al., Coordination degree evaluation of low carbon generation expansion and grid planning based on analytic hierarchy process method and distance coordination degree, Power System Technology, 36, 11, pp. 1-4, (2012)
[8]  
Liu Z., Huang W., A method for optimal layout of distributed generations based on steady-state analysis and interval analytic hierarchy process, Power System Technology, 35, 11, pp. 57-60, (2011)
[9]  
Huang W., Fu L., Xiao S., A predictive model of wind speed based on improved fuzzy analytical hierarchy process, Power System Technology, 34, 7, pp. 164-167, (2010)
[10]  
Li Q., Zhou L., Zhang F., Et al., Comprehensive evaluation of forewarning grade of voltage state and tendency in power systems based on fuzzy theory and analytic hierarchy process, Power System Technology, 32, 4, pp. 40-45, (2008)