Characteristics of Short-Circuit Current in Distribution Network with Doubly-Fed Wind Power System

doi:10.16183/j.cnki.jsjtu.2022.011

Abstract

Abstract:

The doubly-fed induction generator (DFIG) is connected to the distribution network as a distributed power source, which turns a radial single power supply system into a dual power supply system and changes the topology of the distribution network. When a short-circuit fault occurs in the distribution network, the short-circuit current of the distribution network will be affected by the access to wind power. Aimed at the problem that the short-circuit current is affected by the access capacity of the wind turbine and the location of the access point when DFIG is connected to the distribution network by distributed power sources and a three-phase short-circuit fault occurs at different points in the distribution network, a theoretical derivation and a simulation analysis are conducted by combining the control strategy of DFIG. First, relational expression of short-circuit fault current of the distribution network including wind power is theoretically derived, and the short-circuit current provided by the wind turbine is analyzed. Then, model predictive control is introduced to be compared with classical vector control to analyze the impact of different control strategies on the short-circuit current. The changes in access capacity and location are analyzed when a three-phase short-circuit fault occurs at different points in the distribution network, and the impact of DFIG on the short-circuit current of the distribution network is summarized.

Key words: doubly-fed wind power system, model predictive control, distribution network, short-circuit current

CLC Number:

TK89

XI Xinze, XING Chao, QIN Risheng, HE Tingyi, HE Peng, MENG Xian, CHENG Chunhui. Characteristics of Short-Circuit Current in Distribution Network with Doubly-Fed Wind Power System[J]. Journal of Shanghai Jiao Tong University, 2023, 57(7): 921-927.

Figures/Tables 11

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References 13

[1]	徐覃萍. 风电接入对配电网继电保护的影响及其保护配置研究[D]. 南宁: 广西大学, 2014.
	XU Qinping. Research on the influence of wind power access to distribution network of relay protection and protection configuration[D]. Nanning: Guangxi University, 2014.
[2]	沈鑫, 曹敏. 分布式电源并网对于配电网的影响研究[J]. 电工技术学报, 2015, 30(Sup.1): 346-351.
	SHEN Xin, CAO Min. Research on the influence of distributed power grid for distribution network[J]. Transactions of China Electrotechnical Society, 2015, 30(Sup.1): 346-351.
[3]	傅旭, 李想, 王笑飞. 新能源发电接入对电网短路电流的影响研究[J]. 分布式能源, 2018, 3(1): 58-63.
	FU Xu, LI Xiang, WANG Xiaofei. Short circuit current of electric power system with new energy power generation[J]. Distributed Energy, 2018, 3(1): 58-63.
[4]	靳方超. 双馈风电场接入对其送出线路保护的影响[D]. 天津: 天津大学, 2014.
	JIN Fangchao. Influence of DFIG wind farms integration on transmission line protection[D]. Tianjin: Tianjin University, 2014.
[5]	贾耕涛, 翟学, 杨雪瑞. 考虑故障特性和保护约束条件的分布式电源准入容量研究[J]. 电力科学与技术学报, 2016, 31(4): 89-95.
	JIA Gengtao, ZHAI Xue, YANG Xuerui. Research on penetration level of DG considering fault characteristics and relay protection constraint[J]. Journal of Electric Power Science and Technology, 2016, 31(4): 89-95.
[6]	杨国生, 李欣, 周泽昕. 风电场接入对配电网继电保护的影响与对策[J]. 电网技术, 2009, 33(11): 87-91.
	YANG Guosheng, LI Xin, ZHOU Zexin. Impacts of wind farm on relay protection for distribution network and its countermeasures[J]. Power System Technology, 2009, 33(11): 87-91.
[7]	程金牛, 童晓阳. 风电DG布置、容量等多因素对配电网电流保护的影响[J]. 电气应用, 2013, 32(16): 112-117.
	CHENG Jinniu, TONG Xiaoyang. Influence of DG arrangement, capacity and other factors on current protection of distribution network[J]. Electrotechnical Application, 2013, 32(16): 112-117.
[8]	王霄鹤. 双馈风力发电系统友好并网运行控制策略研究[D]. 杭州: 浙江大学, 2019.
	WANG Xiaohe. Investigation on grid-friendly control strategy of DFIG wind power system[D]. Hangzhou: Zhejiang University, 2019.
[9]	RODRIGUEZ J, KENNEL R M, ESPINOZA J R, et al. High-performance control strategies for electrical drives: An experimental assessment[J]. IEEE Transactions on Industrial Electronics, 2012, 59(2): 812-820. doi: 10.1109/TIE.2011.2158778 URL
[10]	ZHANG Y C, ZHU J G, XU W. Analysis of one step delay in direct torque control of permanent magnet synchronous motor and its remedies[C]// 2010 International Conference on Electrical Machines and Systems. Incheon, Korea: IEEE, 2010: 792-797.
[11]	郑淑文, 靳鹏飞, 丁婧. 风电场接入配电网对电流保护的影响[J]. 通信电源技术, 2016, 33(2): 147-148.
	ZHENG Shuwen, JIN Pengfei, DING Jing. Wind farm access distribution network impact on current protection[J]. Telecom Power Technology, 2016, 33(2): 147-148.
[12]	DE CARVALHO R V R, NIELSON R, LIMA C R, et al. Operational conditions analyses of distributed generation (DG) connected on power distribution grid based on ieee Std. 1547[C]// 2013 IEEE PES Conference on Innovative Smart Grid Technologies (ISGT Latin America). Sao Paulo, Brazil: IEEE, 2013: 1-8.
[13]	李凤婷, 李智才. 含异步机风电场的配电网故障特性及其保护分析[J]. 电网技术, 2013, 37(4): 981-986.
	LI Fengting, LI Zhicai. Analysis on impacts of asynchronous wind farm on fault current characteristics and protective relaying of distribution network[J]. Power System Technology, 2013, 37(4): 981-986.

风力机位置	I₁/kA	I₂/kA	I₃/kA	I_DG/kA
母线A	3.09	0	0	0.54
AB段50%处	2.13	0	0	1.10
母线B	2.24	0.001	0.001	1.19
BC段50%处	2.24	1.17	0.013	1.16
母线C	2.23	1.17	0.037	1.14
CD段50%处	2.23	1.15	1.15	1.13

风力机位置	I₁/kA	I₂/kA	I₃/kA	I_DG/kA
母线A	0.78	0.78	0.78	0.31
AB段50%处	0.72	0.78	0.78	0.33
母线B	0.64	0.81	0.81	0.36
BC段50%处	0.61	0.61	0.85	0.42
母线C	0.61	0.61	0.87	0.46
CD段50%处	0.60	0.60	0.60	0.50

容量/MW	电流/kA
容量/MW	2	4	6	8
I₁	2.24	2.24	2.24	2.24
I₂	1.17	1.36	1.62	1.84
I₃	0.037	0.039	0.042	0.046

容量/MW	电流/kA
容量/MW	2	4	6	8
I₁	0.61	0.60	0.58	0.56
I₂	0.61	0.60	0.58	0.56
I₃	0.82	0.86	0.91	0.96

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