基于能量转移的城轨交通电池储能系统能量管理和容量配置优化

doi:10.19595/j.cnki.1000-6753.tces.180773

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Abstract The battery energy storage system used in urban rail transit can effectively recover the residual regenerative braking energy of trains and suppress the voltage fluctuation of DC network. Based on the characteristics of urban rail transit load and the high energy density of the battery, a strategy of dynamic adjustment of discharge threshold based on energy transfer is proposed in this paper. The braking energy recovered in the low peak period and flat peak period of urban rail operation is transferred to the peak period by using batteries. So that the peak power of traction substation can be effectively reduced, the construction capacity and cost of traction substation can be reduced at the same time. In order to improve the performance of energy storage device. Combined with the proposed control strategy and simulation model. Economic efficiency and peak power reduction rate are taken as objective functions to optimize energy management strategy control parameters and capacity configuration results using an intelligent algorithm. Meanwhile, the optimization results of different weight coefficients are analyzed to provide theoretical basis for setting weight coefficients under different objective requirements.

Key words： Urban rail transit battery energy storage energy transfer capacity configuration peak power reduction

Received: 01 July 2018 Published: 29 July 2019

PACS:	U264.91+6
	TM911

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	Articles by authors
	Qin Qiangqiang
	Guo Tingting
	Lin Fei
	Yang Zhongping
	Xiong Shi

Cite this article:

Qin Qiangqiang,Guo Tingting,Lin Fei等. Optimal Research for Energy Management and Configuration of Battery ESS in Urban Rail Transit Based on Energy Transfer[J]. Transactions of China Electrotechnical Society, 2019, 34(zk1): 414-423.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.180773 OR https://dgjsxb.ces-transaction.com/EN/Y2019/V34/Izk1/414

[1] 刘计龙, 肖飞, 沈洋. 永磁同步电机无位置传感器控制技术研究综述[J]. 电工技术学报, 2017, 32(16): 76-88.
Liu Jilong, Xiao Fei, Shen Yang.Position-sensorless control technology of permanent-magnet synchronous motor-a review[J]. Transactions of China Electro- technical Society, 2017, 32(16): 76-88.
[2] 李永东, 朱昊. 永磁同步电机无速度传感器控制综述[J]. 电气传动, 2009, 39(9): 3-10.
Li Yongdong, Zhu Hao.Overview of sensorless control of permanent magnet syncoronous motors[J]. Electric Drive, 2009, 39(9): 3-10.
[3] 鲁文其, 胡育文, 杜栩杨, 等. 永磁同步电机新型滑模观测器无传感器矢量控制调速系统[J]. 中国电机工程学报, 2010, 30(33): 78-83.
Lu Wenqi, Hu Yuwen, Du Xuyang, et al.Sensorless vector control using a novel sliding mode observer for PMSM speed control system[J]. Proceedings of the CSEE, 2010, 30(33): 78-83.
[4] 丁文, 梁得亮, 罗战强. 两级滤波滑模观测器的永磁同步电机无位置传感器控制[J]. 电机与控制学报, 2012, 16(11): 1-10.
Ding Wen, Liang Deliang, Luo Zhanqiang.Position sensorless control of PMSM using sliding mode observer with two-stage filter[J]. Electric Machines and Control, 2012, 16(11): 1-10.
[5] 袁雷, 沈建清, 肖飞, 等. 插入式永磁低速同步电机非奇异终端滑模观测器设计[J]. 物理学报, 2013, 62(3): 45-53.
Yuan Lei, Shen Jianqing, Xiao Fei, et al.Nonsingular terminal sliding-mode observer design for interior permanent magnet synchronous motor drive at very low-speed[J]. Acta Physica Sinica, 2013, 62(3): 45-53.
[6] 候利民, 张化光, 刘秀翀, 等. 自适应模糊滑模软切换的PMSM无速度传感器鲁棒无源控制[J]. 控制与决策, 2010, 25(5): 686-690.
Hou Limin, Zhang Huaguang, Liu Xiuchong, et al.Adaptive fuzzy sliding mode soft witch of speed sensorless for PMSM based on robust passivity-based control[J]. Control and Decision, 2010, 25(5): 686-690.
[7] 姜建国, 韩康. 基于滑模观测器的PMSM无位置传感器矢量控制[J]. 组合机床与自动化加工技术, 2017, 7: 126-129.
Jiang Jianguo, Han Kang.Position sensorless vector control of PMSM based on sliding mode observer[J]. Modular Machine Tool & Automatic Manufacturing Technique, 2017, 7: 126-129.
[8] 陆婋泉, 林鹤云, 冯奕. 永磁同步电机无传感器控制的软开关滑模观测器[J]. 电工技术学报, 2015, 30(2): 106-113.
Lu Xiaoquan, Lin Heyun, Feng Yi.Soft switching sliding mode observer for PMSM sensorless control[J]. Transactions of China Electrotechnical Society, 2015, 30(2): 106-113.
[9] Saadaoui O, Khlaief A, Chaari A, et al.A new approach rotor speed estimation for pmsm based on sliding mode observer[C]//2014 15th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA), Hammamet, Tunisia, 2014: 968-973.
[10] Comanescu M.An induction-motor speed estimator based on integral sliding-mode current control[J]. IEEE Transactions on Industrial Electrnics, 2009, 56(9): 3414-3423.
[11] 魏维. 基于滑模控制的永磁交流伺服系统研究[D]. 北京: 北京交通大学, 2018.
[12] 陈思溢, 皮佑国. 基于滑模观测器与滑模控制器的永磁同步电机无位置传感器控制[J]. 电工技术学报, 2016, 31(12): 108-117.
Chen Siyi, Pi Youguo.Soft switching sliding mode observer for PMSM sensorless control[J]. Transa- ctions of China Electrotechnical Society, 2016, 31(12): 108-117.
[13] 林茂, 李颖晖, 吴辰, 等. 基于滑模模型参考自适应系统观测器的永磁同步电机预测控制[J]. 电工技术学报, 2017, 32(6): 156-163.
Lin Mao, Li Yinghui, Wu Chen, et al.A model reference adaptive system based sliding mode observer for model predictive controlled permanent magnet synchronous motor drive[J]. Transactions of China Electrotechnical Society, 2017, 32(6): 156-163.
[14] 王晓远, 傅涛. 基于全局快速终端滑模观测器的无刷直流电机无位置传感器控制[J]. 电工技术学报, 2017, 32(11): 164-171.
Wang Xiaoyuan, Fu Tao.Position sensorless control of BLDC motor based on global fast terminal sliding mode observer[J]. Transactions of China Electro- technical Society, 2017, 32(11): 164-171.
[15] 苏健勇, 李铁才, 杨贵杰. PMSM无位置传感器控制中数字滑模观测器抖振现象分析与抑制[J]. 电工技术学报, 2009, 24(8): 58-64.
Su Jianyong, Li Tiecai, Yang Guijie.Chattering phenomenon analysis and suppression of sliding mode observer in PMSM sensorless control[J]. Transactions of China Electrotechnical Society, 2009, 24(8): 58-64.
[16] 刘计龙, 肖飞, 麦志勤, 等. IF控制结合滑模观测器的永磁同步电机无位置传感器复合控制策略[J]. 电工技术学报, 2018, 33(4): 919-929.
Liu, Jilong, Xiao Fei, Mai Zhiqin, et al. Hybrid position-sensorless control scheme for PMSM based on combination of IF control and sliding mode observer[J]. Transactions of China Electrotechnical Society, 2018, 33(4): 919-929.