无线充电电动汽车V2G模式下光储直流微电网能量管理策略

doi:10.19595/j.cnki.1000-6753.tces.211279

Abstract
Figure/Table
References
Related Citation (15)

Download: PDF (4994 KB) HTML (0 KB)
Export: BibTeX | EndNote (RIS)

Abstract With the rapid increase of electric vehicles (EVs), it is essential to build a low-carbon, flexible and stable charging method for EVs. This paper integrated DC microgrid, wireless power transfer (WPT), vehicle-to-grid (V2G) technologies, and focused on the power management strategy of DC microgrid with photovoltaic, energy storage and WPT system in V2G mode. The mathematical models for photovoltaic, WPT, and energy storage were established, respectively. Considering the photovoltaic power output and the load power level, the critical conditions for the WPT system under maximum power efficiency status were derived, and the output function of the energy storage beyond the critical conditions was given. Based on this, the three operating modes and boundary conditions of the DC microgrid were defined, the upper-level controller was designed to switch between the three modes. An experimental system was constructed to verify that the proposed hierarchical control algorithm can effectively maintain the stability of the bus voltage. The maximum power of the photovoltaic system and the optimal efficiency operation of the WPT system were also guaranteed.

Key words： DC microgrid photovoltaic wireless power transfer vehicle to grid electric vehicle

Received: 16 August 2021

PACS:

TM724

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	Zhou Wei
	Lan Jiahao
	Mai Ruikun
	He Zhengyou

Cite this article:

Zhou Wei,Lan Jiahao,Mai Ruikun等. Research on Power Management Strategy of DC Microgrid with Photovoltaic, Energy Storage and EV-Wireless Power Transfer in V2G Mode[J]. Transactions of China Electrotechnical Society, 2022, 37(1): 82-91.

URL:

https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.211279 OR https://dgjsxb.ces-transaction.com/EN/Y2022/V37/I1/82

[1] 陈奇芳, 刘念, 陈征, 等. 考虑充电需求与随机事件的光伏充电站实时运行策略[J]. 电工技术学报, 2016, 31(18): 142-150.
Chen Qifang, Liu Nian, Chen Zheng, et al. Real-time operation strategy for PV-based EV charging station considering charging demand and random events[J]. Transactions of China Electrotechnical Society, 2016, 31(18): 142-150.
[2] 杨晓东, 张有兵, 蒋杨昌, 等. 微电网下考虑分布式电源消纳的电动汽车互动响应控制策略[J]. 电工技术学报, 2018, 33(2): 390-400.
Yang Xiaodong, Zhang Youbing, Jiang Yangchang, et al. Renewable energy accommodation-based strategy for electric vehicle considering dynamic interaction in microgrid[J]. Transactions of China Electrotechnical Society, 2018, 33(2): 390-400.
[3] Huang Qilong, Jia Qingshan, Guan Xiaohong.Robust scheduling of EV charging load with uncertain wind power integration[J]. IEEE Transactions on Smart Grid, 2018, 9(2): 1043-1054.
[4] Sabillon C, Franco J F, Rider M J, et al. Joint optimal operation of photovoltaic units and electric vehicles in residential networks with storage systems: a dynamic scheduling method[J]. International Journal of Electrical Power & Energy Systems, 2018, 103: 136-145.
[5] 陈丽娟, 秦萌, 顾少平, 等. 计及电池损耗的电动公交车参与V2G的优化调度策略[J]. 电力系统自动化, 2020, 44(11): 52-60.
Chen Lijuan, Qin Meng, Gu Shaoping, et al. Optimal dispatching strategy of electric bus participating in vehicle-to-grid considering battery loss[J]. Automation of Electric Power Systems, 2020, 44(11): 52-60.
[6] Rao Yingqing, Yang Jun, Xiao Jinxing, et al. A frequency control strategy for multimicrogrids with V2G based on the improved robust model predictive control[J]. Energy, 2021, 222: 119963.
[7] Mazumder M, Debbarma S.EV charging stations with a provision of V2G and voltage support in a distribution network[J]. IEEE Systems Journal, 2021, 15(1): 662-671.
[8] 姚一鸣, 赵溶生, 李春燕, 等. 面向电力系统灵活性的电动汽车控制策略[J/OL]. 电工技术学报, 2021
https://doi.org/10.19595/j.cnki.1000-6753.tces.210515.Yao Yiming, Zhao Rongsheng, Li Chunyan, et al. control strategy of electric vehicles oriented to power system flexibility[J/OL]. Transactions of China Electrotechnical Society: 2021.https://doi.org/10.19595/j.cnki.1000-6753.tces.210515.
[9] 邓艺璇, 黄玉萍, 黄周春.基于随机森林算法的电动汽车充放电容量预测[J/OL]. 电力系统自动化, 2021, 45(21): 181-188.
Deng Yixuan, Huang Yuping, Huang Zhouchun.Charging and discharging capacity forecasting of electric vehicles based on random forest algorithm[J/OL]. Automation of Electric Power Systems, 2021, 45(21): 181-188.
[10] Fu Minfan, Tang Zefan, Ma Chengbin.Analysis and optimized design of compensation capacitors for a megahertz WPT system using full-bridge rectifier[J]. IEEE Transactions on Industrial Informatics, 2019, 15(1): 95-104.
[11] He Rong, Zhao Peng, Fu Minfan, et al. Decomposition and synthesis of high-order compensated inductive power transfer systems for improved output controllability[J]. IEEE Transactions on Microwave Theory and Techniques, 2019, 67(11): 4514-4523.
[12] 赵鱼名, 王智慧, 苏玉刚, 等. 基于T型CLC谐振网络的恒压型电场耦合电能传输系统负载自适应技术[J]. 电工技术学报, 2020, 35(1): 106-114.
Zhao Yuming, Wang Zhihui, Su Yugang, et al. Load adaptive technology of constant voltage electric-field coupled power transfer system based on T-CLC resonant network[J]. Transactions of China Electrotechnical Society, 2020, 35(1): 106-114.
[13] Feng Junjie, Li Qiang, Lee Fred C, et al. LCCL-LC resonant converter and its soft switching realization for omnidirectional wireless power transfer systems[J]. IEEE Transactions on Power Electronics, 2021, 36(4): 3828-3839.
[14] Xia Chenyang, Wei Nan, Zhang Hongtai, et al. Multifrequency and multiload MCR-WPT system using hybrid modulation waves SPWM control method[J]. IEEE Transactions on Power Electronics, 2021, 36(11): 12400-12412.
[15] 卿晓东, 苏玉刚.电场耦合无线电能传输技术综述[J]. 电工技术学报, 2021, 36(17): 3649-3663.
Qing Xiaodong, Su Yugang.An overview of electric-field coupling wireless power transfer technology[J]. Transactions of China Electrotechnical Society, 2021, 36(17): 3649-3663.
[16] 赵靖英, 张振远, 张珂.基于H_∞非线性控制器的电动汽车无线充电系统的副边控制设计与参数优化[J]. 电工技术学报, 2021, 36(21): 1-12.
Zhao Jingying, Zhang Zhenyuan, Zhang Ke.Control design and parameter optimization on secondary side of electric vehicle wireless charging system based on H_∞ nonlinear controller[J]. Transactions of China Electrotechnical Society, 2021, 36(21): 1-12.
[17] Yang L, Zhang Y, Li X, et al. Analysis and design of four-plate capacitive wireless power transfer system for undersea applications[J]. CES Transactions on Electrical Machines and Systems, 2021, 5(3): 202-211.
[18] Lee H S, Yun J J.Three-port converter for integrating energy storage and wireless power transfer systems in future residential applications[J]. Energies, 2020, 13(1): 272.
[19] 方华亮, 彭辉, 李大虎, 等. 面向电动汽车路面无线充放电的移动微网[J]. 高电压技术, 2016, 42(7): 2119-2126.
Fang Hualiang, Peng Hui, Li Dahu, et al. Mobile microgrid based on electric vehicle on-road wireless charging and discharging[J]. High Voltage Engineering, 2016, 42(7): 2119-2126.
[20] Zhao Zhihao, Sun Yue, Hu Aiguo Patrick, et al. Energy link optimization in a wireless power transfer grid under energy autonomy based on the improved genetic algorithm[J]. Energies, 2016, 9(9): 682.
[21] 刘杰.风光互补微电网为电动汽车无线充电研究[D]. 天津: 天津工业大学, 2016.
[22] Sánchez-Sáinz H, García-Vázquez C-A, Llorens Iborra F, et al. Methodology for the optimal design of a hybrid charging station of electric and fuel cell vehicles supplied by renewable energies and an energy storage system[J]. Sustainability, 2019, 11(20): 5743.
[23] Subudhi P S, Subramanian K, Retnam B B J D.Wireless electric vehicle battery-charging system for solar-powered residential applications[J]. International Journal of Power and Energy Systems, 2019, 39(3): 130-140.
[24] 龚政.伪连续导电模式四开关Buck-Boost变换器控制策略研究[D]. 成都: 西南交通大学, 2020.
[25] 李捷.基于四管Buck-Boost的数字控制光伏功率优化器的研究[D]. 北京: 北方工业大学, 2018.
[26] Zhang Kehan, Ye Tianwei, Yan Zhengchao, et al. Obtaining maximum efficiency of inductive power-transfer system by impedance matching based on Boost converter[J]. IEEE Transactions on Transportation Electrification, 2020, 6(2): 488-496.