Modeling and Simulation of Islanded System with Wind and Storage Power

doi:10.16182/j.issn1004731x.joss.201806029

Abstract

Abstract: With the consumption of primary energy and the severe environmental issues, the new energy power generation has been attracted much attention by scholars at home and abroad. As an important application form of new energy power generation, the operation of the islanded system with wind and storage power has a huge potential for future development. For the islanded system with wind and storage power, each mathematical model and the mathematical model of control system were established. In the electromagnetic transient simulation platform PSCAD, the corresponding electromagnetic transient simulation model was built based on the established mathematical model. The dynamic characteristics of the islanded system with wind and storage power were studied by simulation. The results indicate that, under the condition of reasonable distribution of wind and energy storage capacity, the islanded system with wind and storage power can realize the self starting and stable operation, and has the ability to resist external interference, which provides a theoretical guide for the further practical application.

Key words: islanded system with wind and storage power, simulation model, electromagnetic transient simulation, stability

CLC Number:

TM743

Ye Peng, Hu Yaoning, Sun Minghui. Modeling and Simulation of Islanded System with Wind and Storage Power[J]. Journal of System Simulation, 2018, 30(6): 2236-2244.

References

[1] 张丽英, 叶廷路, 辛耀中, 等. 大规模风电接入电网的相关问题及措施[J]. 中国电机工程学报, 2010, 30(25): 1-8.
ZHANG Liying, YE Tinglu, XIN Yaozhong, et al.Problems and Measures of Power Grid Accommodating Large Scale Wind Power[J]. Proceedings of the CSEE, 2010, 30(25): 1-8.
[2] Souza Ribeiro L A, Saavedra O R, Lima S L, et al. Isolated micro-grids with renewable hybrid generation: The case of Lencois island[J]. IEEE Transactions on Sustainable Energy, 2011, 2(1): 1-11.
[3] Goya T, Omine E, Kinjyo Y, et al.Frequency control in isolated island by using parallel operated battery systems applying H control theory based on droop characteristics[J]. IET Renewable Power Generation, 2011, 5(2): 160-166.
[4] 韩肖清, 史燕. 变速恒频风电机组控制及系统暂态稳定仿真[J]. 系统仿真学报, 2009, 21(10): 3056-3061.
HAN Xiao-qing, SHI Yan.Simulation on Control and Transient Stability with Variable-speed Constant- frequency Wind Generation System[J]. Journal of System Simulation, 2009, 21(10): 3056-3061.
[5] 余永元, 郝正航, 龙航, 等. 双馈风机联合储能系统的孤岛供电控制策略[J]. 电测与仪表, 2015, 52(16): 78-83.
Yu Yongyuan, Hao Zhenghang, Long Hang,et al.Control strategy for power supply of DFIG＆ESS in isolated system[J]. Electrical Measurement ＆ Instrumentation, 2015, 52(16): 78-83.
[6] 李春华, 朱新坚, 吉小鹏, 等. 光伏系统中蓄电池管理策略研究[J]. 系统仿真学报, 2012, 24(11): 2378-2382.
LI Chun-hua, ZHU Xin-jian, JI Xiao-peng, et al.Study on Battery Management Strategy in Photovoltaic System[J]. Journal of System Simulation, 2012, 24(11): 2378-2382.
[7] 梁洲, 陈意军. 风储联合并网发电系统的控制策略研究[J]. 电子测量技术, 2015, 38(11): 1-5.
Liang Zhou, Chen Yijun.Study on control strategy of Wind-ES grid-connected system[J]. Elecronic Measurement Technology, 2015, 38(11): 1-5.
[8] 赵志刚, 张纯杰, 石广田, 等. 光-储联合供电系统行为特性分析与仿真[J]. 系统仿真学报, 2014, 26(11): 2779-2783.
Zhao Zhigang, Zhang Chunjie, Shi Guangtian, et al.Analysis and Simulation on Energy Matching of Closed-loop Photovoltaic-storage System[J]. Journal of System Simulation, 2014, 26(11): 2779-2783.
[9] 姚兴佳, 谢赐戮, 刘颖明, 等. 大型风力发电机组控制器优化设计[J]. 控制理论与应用, 2008, 25(1): 145-147.
Yao Xing-jia, XIE Ci-jian, Liu Ying-ming, et al.Optimization design of controller for large-scale wind turbines[J]. Control Theory&Application, 2008, 25(1): 145-147.
[10] 薛禹胜, 雷兴, 薛峰, 等. 关于风电不确定性对电力系统影响的评述[J]. 中国电机工程学报, 2014, 34(29): 5029-5040.
Xue Yusheng, Lei xing, Xue Feng, et al. A Review on Impacts of Wind Power Uncertainties on Power Systems[J]. Proceedings of the CSEE, 2014, 34(29): 5029-5040.
[11] 牛玉广, 李晓明, 王世林, 等. 分散协调控制在风火混合电力系统中仿真研究[J]. 系统仿真学报, 2015, 27(3): 609-619.
Niu Yuguang, Li Xiaoming, Wang Shilin, et al.Simulation Study of Multiple Model Decentralized-coordinated Predictive Control for Hybrid Wind-thermal Power System[J]. Journal of System Simulation, 2015, 27(3): 609-619.

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