基于离散状态事件驱动的电励磁同步电机系统建模解算方法

doi:10.19595/j.cnki.1000-6753.tces.220308

Abstract
Figure/Table
References
Related Citation (15)

Download: PDF (1426 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract Microgrids can realize the flexible access of distributed generations, energy storages, and loads. A typical microgrid system often contains various DC and AC power supplies and many power electronic devices, challenging conventional simulation tools. Recently, the discrete state event-driven (DSED) approach has been proposed and can efficiently solve large-scale power electronic converters. This method models power electronic converters as piecewise linear (PWL) state equations and consists of a flexible, adaptive integration method based on the Taylor series. It can solve PWL systems but cannot solve the system containing electrically excited synchronous machines. Therefore, this paper proposes a state-variable-interfaced decoupling strategy based on the DSED approach.
The state-variable-interfaced decoupling strategy can decouple the electrically excited synchronous machine from the whole system. The electrically excited synchronous machine and the other part systems exchange high-order time derivatives of interface variables to assure the simulation accuracy. In addition, a method for simplifying the time derivative calculation of electrically excited synchronous machines' state variables is proposed. The time derivatives can be obtained recursively, and the complicated and troublesome high-order derivative expressions can be avoided. The numerical errors introduced by the simplifying method are analyzed and can be well controlled using the proposed error equations.
In the case study of a microgrid system, compared with commercial simulation software, the proposed method can improve the calculation speed by more than 40 times with the same accuracy. The simulated microgrid system consists of two distributed synchronous machines as AC generations and three DC generations with inverters. The simulated working conditions are as follows: initially, only DC power supplies are available, and the microgrid is connected to the power grid; At 0.2 s, put AC power into operation, that is, electrically excited synchronous machines; At 0.4 s, the microgrid is disconnected from the power grid, and the AC power supply supports the line voltage and frequency. The simulated results show good agreement with the commercial simulation software. The improvement of computing efficiency mainly benefits from two aspects. The single-step computational cost of the adaptive integration method is lower than that of the commonly used explicit Runge-Kutta method under the same order. The DSED method considers events and uses an event-driven strategy to conduct numerical integration of continuous state variables between event points, reducing the number of calculation points.

Received: 07 March 2022

PACS:

TM743

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	Xu Han
	Zhao Zhengming
	Shi Bochen
	Ju Jiahe
	Yu Zhujun

Cite this article:

Xu Han,Zhao Zhengming,Shi Bochen等. Modeling and Simulation of Electrically Excited Synchronous Machine Based on Discrete State Event-Driven Approach[J]. Transactions of China Electrotechnical Society, 2023, 38(10): 2602-2612.

URL:

https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.220308 OR https://dgjsxb.ces-transaction.com/EN/Y2023/V38/I10/2602

[1] 杨新法, 苏剑, 吕志鹏, 等. 微电网技术综述[J]. 中国电机工程学报, 2014, 34(1): 57-70.
Yang Xinfa, Su Jian, Lü Zhipeng, et al.Overview on micro-grid technology[J]. Proceedings of the CSEE, 2014, 34(1): 57-70.
[2] 鲁宗相, 王彩霞, 闵勇, 等. 微电网研究综述[J]. 电力系统自动化, 2007, 31(19): 100-107.
Lu Zongxiang, Wang Caixia, Min Yong, et al.Over- view on microgrid research[J]. Automation of Electric Power Systems, 2007, 31(19): 100-107.
[3] 王成山, 武震, 李鹏. 微电网关键技术研究[J]. 电工技术学报, 2014, 29(2): 1-12.
Wang Chengshan, Wu Zhen, Li Peng.Research on key technologies of microgrid[J]. Transactions of China Electrotechnical Society, 2014, 29(2): 1-12.
[4] 周林, 黄勇, 郭珂, 等. 微电网储能技术研究综述[J]. 电力系统保护与控制, 2011, 39(7): 147-152.
Zhou Lin, Huang Yong, Guo Ke, et al.A survey of energy storage technology for micro grid[J]. Power System Protection and Control, 2011, 39(7): 147-152.
[5] 杨美辉, 周念成, 王强钢, 等. 基于分布式协同的双极直流微电网不平衡电压控制策略[J]. 电工技术学报, 2021, 36(3): 634-645.
Yang Meihui, Zhou Niancheng, Wang Qianggang, et al.Unbalanced voltage control strategy of bipolar DC microgrid based on distributed cooperation[J]. Transactions of China Electrotechnical Society, 2021, 36(3): 634-645.
[6] 张伟亮, 张辉, 支娜, 等. 基于节点源荷电流差分的直流微电网储能变换器控制策略[J]. 电工技术学报, 2022, 37(9): 2199-2210.
Zhang Weiliang, Zhang Hui, Zhi Na, et al.Control strategy of DC microgrid energy storage converter based on node differential current[J]. Transactions of China Electrotechnical Society, 2022, 37(9): 2199-2210.
[7] 王宇彬, 杨晓东, 谢路耀, 等. 基于滑模控制的直流微电网一致性控制策略[J]. 电工技术学报, 2021, 36(增刊2): 530-540, 553.
Wang Yubin, Yang Xiaodong, Xie Luyao, et al.Consensus algorithm strategy of DC microgrid based on sliding mode control[J]. Transactions of China Electrotechnical Society, 2021, 36(S2): 530-540, 553.
[8] 胡长斌, 王慧圣, 罗珊娜, 等. 计及直流微电网扰动抑制的残差动态分散补偿控制策略[J]. 电工技术学报, 2021, 36(21): 4493-4507, 4543.
Hu Changbin, Wang Huisheng, Luo Shanna, et al.Residual dynamic decentralized compensation control strategy considering disturbance suppression in DC microgrid[J]. Transactions of China Electrotechnical Society, 2021, 36(21): 4493-4507, 4543.
[9] Zhu Yicheng, Zhao Zhengming, Shi Bochen, et al.Discrete state event-driven framework for simulation of switching transients in power electronic systems[C]// 2019 IEEE Energy Conversion Congress and Expo- sition (ECCE), Baltimore, MD, USA, 2019: 895-900.
[10] 施博辰, 赵争鸣, 朱义诚, 等. 离散状态事件驱动仿真方法在高压大容量电力电子变换系统中的应用[J]. 高电压技术, 2019, 45(7): 2053-2061.
Shi Bochen, Zhao Zhengming, Zhu Yicheng, et al.Discrete state event-driven simulation framework for high-voltage power electronic hybrid systems[J]. High Voltage Engineering, 2019, 45(7): 2053-2061.
[11] Zhu Yicheng, Zhao Zhengming, Shi Bochen, et al.Discrete state event-driven framework with a flexible adaptive algorithm for simulation of power electronic systems[J]. IEEE Transactions on Power Electronics, 2019, 34(12): 11692-11705.
[12] van der Schaft A J, Schumacher J M. An introduction to hybrid dynamical systems in lecture notes in control and information sciences[M]. London, New York: Springer, 2000.
[13] Gupta P, Patra A.Hybrid mode-switched control of DC-DC Boost converter circuits[J]. IEEE Transa- ctions on Circuits and Systems II: Express Briefs, 2005, 52(11): 734-738.
[14] Sreekumar C, Agarwal V.A hybrid control algorithm for voltage regulation in DC-DC Boost converter[J]. IEEE Transactions on Industrial Electronics, 2008, 55(6): 2530-2538.
[15] Shi Bochen, Zhao Zhengming, Zhu Yicheng.Piece- wise analytical transient model for power switching device commutation unit[J]. IEEE Transactions on Power Electronics, 2019, 34(6): 5720-5736.
[16] 付兴贺, 江政龙, 吕鸿飞, 等. 电励磁同步电机无刷励磁与转矩密度提升技术发展综述[J]. 电工技术学报, 2022, 37(7): 1689-1702.
Fu Xinghe, Jiang Zhenglong, Lü Hongfei, et al.Review of the blushless excitation and torque density improvement in wound field synchronous motors[J]. Transactions of China Electrotechnical Society, 2022, 37(7): 1689-1702.
[17] Benigni A, Monti A, Dougal R A.Latency-based approach to the simulation of large power electronics systems[J]. IEEE Transactions on Power Electronics, 2014, 29(6): 3201-3213.
[18] Grégoire L A, Blanchette H F, Bélanger J, et al.A stability and accuracy validation method for multirate digital simulation[J]. IEEE Transactions on Industrial Informatics, 2017, 13(2): 512-519.
[19] Khan H, Bazaz M A, Ahmad N S.Singular perturbation-based model reduction of power elec- tronic circuits[J]. IET Circuits, Devices & Systems, 2019, 13(4): 471-478.
[20] Davoudi A, Jatskevich J, Chapman P L, et al.Multi- resolution modeling of power electronics circuits using model-order reduction techniques[J]. IEEE Transactions on Circuits and Systems I: Regular Papers, 2013, 60(3): 810-823.
[21] [美]博斯. 现代电力电子学与交流传动[M]. 北京: 机械工业出版社, 2005.