Definition and Influencing Factors of Short-Circuit Ratio Between Offshore Wind Power Cluster and Thermal Power Bundling System

doi:10.12096/j.2096-4528.pgt.22043

Abstract

Abstract:

The short-circuit ratio is an important indicator to measure the risk of subsynchronous oscillation induced by the access of the wind farm to alternating current system. The current short-circuit ratio does not have a clear definition and a detailed calculation formula for the short-circuit ratio of wind-fire bundled and grid-connected operation has not been given. Therefore, for an actual planning scenario of dual offshore wind power clusters and thermal power bundling system, a short-circuit ratio calculation method was proposed to reveal the influence of the interaction of dual wind power clusters on subsynchronous oscillation. The research results show that the wind-fire bundling and grid connection can improve the short-circuit ratio of the system. Compared with pure wind power, the speed of reducing the short-circuit ratio is slowed down and the stability of subsynchronous oscillation is improved. From the analysis of the formula, the three influencing factors of the short-circuit ratio of wind-fire bundling are system impedance, fan ratio, and wind-fire ratio. The analysis results show that the fan ratio has the least impact on the subsynchronous oscillation, and the wind-fire ratio has the greatest impact. Finally, a model of an actual planning offshore wind power cluster and thermal power bundling system was built in PSCAD/EMTDC to verify the rationality of the above research results.

Key words: offshore wind power, wind and fire bundling, short-circuit ratio, system decoupling, subsynchronous oscillation

CLC Number:

TK 81

Zuozhou CHEN, Hao YU, Panpan WANG, Honglin CHEN, Wuhui CHEN. Definition and Influencing Factors of Short-Circuit Ratio Between Offshore Wind Power Cluster and Thermal Power Bundling System[J]. Power Generation Technology, 2022, 43(2): 207-217.

Figures/Tables 25

Fig. 1 Alternating current grid-connected system for a single wind farm

Fig. 2 AC grid-connected system for dual wind farms

Fig. 3 Dual wind field decoupling system

Fig. 4 Schematic diagram of AC grid-connected system for thermal power access to dual wind farms

Fig. 5 Topological diagram of wind and fire bundling AC system in double wind farms

Fig. 6 Relationship between thermal power access and short-circuit ratio

Tab. 1 Short-circuit ratio of dual wind farm system corresponding to different wind farm capacity ratios when the total number of wind turbines is 2.0 pu

n₁∶n₂	n₁/pu	n₂/pu	短路比
1∶1	1.000	1.000	0.363 6
5∶6	0.909	1.091	0.356 3
4∶5	0.889	1.111	0.353 2
3∶4	0.857	1.143	0.347 5
2∶3	0.800	1.200	0.336 1
1∶2	0.667	1.333	0.308 5

Fig. 7 Relationship between short-circuit ratio KSCRA and the number of wind turbines in the double wind farm system

Fig. 8 Relationship between total wind power capacity of wind-fire bundling system and short-circuit ratio of wind farm

Tab. 2 Short-circuit ratio of dual-wind farm system corresponding to different wind farm capacity ratios when the total number of wind turbines is 0.6 pu

n₁∶n₂	n₁/pu	n₂/pu	短路比
1∶1	0.30	0.30	1.212
2∶3	0.24	0.36	1.120
1∶2	0.20	0.40	1.028

Tab.3 Short-circuit ratio of double wind farm system corresponding to CASE-B

T_B	n_B1/台	n_B2/台	短路比
1∶1	300	300	2.4
2∶3	240	360	2.1
1∶2	200	400	2.0

Tab.4 Short-circuit ratio of double wind farm system corresponding to CASE-C

n_C/台	n_C1/台	n_C2/台	短路比
500	250	250	2.9
800	400	400	1.8
1 000	500	500	1.4

Fig. 9 Schematic diagram of short-circuit ratio change of CASE-A

Fig. 10 Simulation waveform of electromagnetic torque of CASE-A thermal power unit

Fig. 11 Spectrum analysis of electromagnetic torque of thermal power unit within 6-10 s

Fig. 12 CASE-A wind power active power simulation waveform diagram

Fig. 13 Wind power active power spectrum analysis within 6-10 s

Fig. 14 Active power curve of CASE-B wind power transmission

Fig. 15 Electromagnetic torque curve of CASE-B thermal power unit

Fig. 16 Wind power active power spectrum analysis when the ratio of double wind farms is 2∶3

Fig. 17 Analysis of electromagnetic torque spectrum of CASE-B thermal power unit

Fig. 18 CASE-C wind farm output power curve

Fig. 19 CASE-C thermal power unit electromagnetic torque oscillation curve

Fig. 20 Spectrum analysis of thermal power electromagnetic torque when 1 000 wind turbines are put into operation

Fig. 21 Wind power active power spectrum analysis when 1 000 wind turbines are put into operation

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