An evaluation method for the maximum penetration of wind power of district power grid based on the self-organization criticality

被引：0

作者：

Zhang Y. ^{[1
]}

Wang Z. ^{[2
]}

Lei Y. ^{[2
]}

Wu D. ^{[2
]}

Cheng R. ^{[1
]}

Hua D. ^{[3
]}

机构：

[1] Shenzhen Power Supply Bureau Co., Ltd., Shenzhen

[2] College of Electrical and Information Engineering, Hunan University, Changsha

[3] School of Electric Power Engineering, South China University of Technology, Guangzhou

来源：

Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2019年 / 47卷 / 02期

基金：

中国国家自然科学基金;

关键词：

Cascading failures; Interval power flow; Risk metrics; Self-organized criticality; Wind energy penetration;

D O I：

10.7667/PSPC201863

中图分类号：

学科分类号：

摘要：

With the increase of installation of wind energy in power systems, it has become a great challenge to evaluate the maximum wind energy limit penetration of a given regional power grid. By analyzing the self-organized criticality of complex power systems, a method based on interval Optimal Power Flow (OPF) cascading failure model to evaluate the maximum wind penetration is proposed. This method models the wind power output uncertainty as an interval number to form the interval cascading failure model based on interval OPF of power grids. With the increasing wind power penetration, the rules between the probability and scale of cascading failures can be discovered. The maximum wind power penetration is determined by the average of wind power when the power grid exhibits the self-organized criticality. Simulation experiments on IEEE 30-bus system and IEEE 118-bus system verify that the proposed method is a reasonable quantitative measurement method for assessing the wind power penetration limit of a power system. © 2019, Power System Protection and Control Press. All right reserved.

引用

页码：9 / 15

页数：6

共 28 条

[21] Zhao W., Zhang J., Yi J., Et al., Research on improved Manchester cascading failure model and its application, Power System Technology, 33, 11, pp. 18-22, (2009)
[22] Heier S., Grid Integration of Wind Energy Conversion Systems, (1998)
[23] Lubosny Z., Wind Turbine Operation in Electric Power Systems: Advanced Modeling, (2003)
[24] Jia C., Wang L., Meng E., Et al., Study on flexible control strategy of wind storage based on concentrated energy storage of wind farms, Power System Protection and Control, 46, 6, pp. 30-37, (2018)
[25] Zhong X., Fan Y., Wang Y., Et al., Research of stability control strategies for high density wind power, AC-DC sending grid bipole trip, Power System Protection and Control, 43, 13, pp. 130-138, (2015)
[26] Bao H., Wei H., Guo X., Interval optimal power flow calculation for AC/DC power system considering renewable energy source, Proceedings of the CSEE, 35, 16, pp. 4006-4014, (2015)
[27] Rockafellar R.T., Uryasev S., Optimization of conditional value-at-risk, Journal of Risk, 29, 1, pp. 1071-1074, (2010)
[28] Blumsack S., Network Topologies and Transmission Investment under Electric-industry Restructuring, (2006)

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