直流微网储能系统的自适应惯量阻尼控制
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摘要
由于无需考虑无功及相位且对于可再生能源发电并网更加友好,近年来,关于直流微网的研究越来越多。但直流微网中惯性较低,当系统受到外界因素干扰时,直流母线电压鲁棒性较低,严重时甚至影响系统的稳定运行。针对该问题,提出一种用于直流微网储能系统的自适应惯量阻尼控制策略,并充分利用了虚拟参数灵活可调的特点,使储能系统可以向微网提供惯性,并建立了系统的小信号模型,利用Middlebrook判据分析了系统的小信号稳定性。最后,通过Simulink仿真对所提控制策略的有效性进行了验证。
Since there is no need to consider reactive power and phase and is more friendly to renewable energy power generation grid-connection,there are more and more researches on DC microgrids in recent years. But the inertia of DC micro-grid is low. When the system is disturbed by external factors,the DC bus voltage is less robust,and it even affects the stable operation of the system. In order to solve this problem,an adaptive inertia damping control strategy for DC micro-grid energy storage system is proposed,and the characteristics of flexible and adjustable virtual parameters are fully utilized. The energy storage system can provide inertia to the micro-grid,and the small signal model of the system is established,and the stability of the system is analyzed by the Middlebrook criterion. Finally,the effectiveness of the proposed control strategy is verified by Simulink simulation.
Since there is no need to consider reactive power and phase and is more friendly to renewable energy power generation grid-connection,there are more and more researches on DC microgrids in recent years. But the inertia of DC micro-grid is low. When the system is disturbed by external factors,the DC bus voltage is less robust,and it even affects the stable operation of the system. In order to solve this problem,an adaptive inertia damping control strategy for DC micro-grid energy storage system is proposed,and the characteristics of flexible and adjustable virtual parameters are fully utilized. The energy storage system can provide inertia to the micro-grid,and the small signal model of the system is established,and the stability of the system is analyzed by the Middlebrook criterion. Finally,the effectiveness of the proposed control strategy is verified by Simulink simulation.
引文
[1]郑天文,陈来军,陈天一,等.虚拟同步发电机技术及展望[J].电力系统自动化,2015,39(21):165-175.Zheng Tianwen,Chen Laijun,Chen Tianyi,et al. Review and Prospect of Virtual Synchronous Generator Technologies[D]. Zheng Tianwen,Chen Laijun,Chen Tianyi Automation of Electruc Power System. 2015,39(21):165-175.
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[9]盛万兴,刘海涛,曾正,等.一种基于虚拟电机控制的能量路由器[J].中国电机工程学报,2015,35(14):3541-3550.Sheng Wanxing,Liu Haitao,Zeng Zheng,et al. An Energy Hub Based on Virtual-Machine Control[J]. Proceedings of the CSEE,2015,35(14):3541-3550.
[10]程启明,杨小龙,褚思远,等.基于虚拟直流发电机的光伏系统控制策略[J].高电压技术,2017,43(7):2097-2104.Cheng Qiming,Yang Xiaolong,Chu Siyuan,et al. Research on Control Strategy of PV System Based on Virtual DC Generator[J]. High Voltage Engineering. 2017,43(7):2097-2104.
[11]张辉,谭树成,肖曦,等.具有直流电机特性的储能接口变换器控制策略[J].高电压技术,2018,44(1):119-125.Zhang Hui,Tan Shucheng,Xiao Xi,Control Strategy of Energy Storage Converter with DC Machine Characteristics[J]. High Voitage Engineering. 2018,44(1):119-125.
[12]伍文华,陈燕东,罗安.等.一种直流微网双向并网变换器虚拟惯性控制策略[J].中国电机工程学报,2017,37(2):360-371.Wu Wenhua,Chen Yandong,Luo An. et al. A virtual inertia control strategy for bidirectional grid-connected converters in DC micro-grids[J]. Proceedings of the CSEE,2017,37(2):360-371.
[13]朱晓荣,蔡杰,王毅,等.风储直流微网虚拟惯性控制技术[J].中国电机工程学报,2016,36(1):49-58.Zhu Xiaorong,Cai Jie,Wang Yi,et al. Virtual inertia control of windbattery-based DC micro-grid[J]. Proceedings of the CSEE. 2016,36(1):49-58
[14]辜承林,陈乔夫,熊永前.电机学[M].武汉:华中科技大学出版社,2005.
[15]FENG X G,LIU J J,LEE F C. Impendance specification for stable DC distributed power systems[J]. IEEE Trans on Power Electronics,2002,17(2):157-162.
[2]吴卫民,何远彬,耿攀.等.直流微网研究中的关键技术[J].电工技术学报,2012,27(1):98-106,113.Wu Weimin,He Yuanbing,Gen Pan,et al. Key Technologies for DC Micro-Grids[J]. Transactions of China Electrotechnical Society. 2012,27(1):98-106,113.
[3] Driesen J,Visscher K. Virtual synchronous generators[C]//2008IEEEE Power and Energy Society General Meeting Conversion and Delivery of ELECTRICAL Energy in the 21st Century,July 20-24,2008,Pittsburgh. PA,USA:3p
[4] Zhong Qingchang,Phi-Long Nguyen,Ma Zhenyu,Sheng Wanxing.Self-synchronized synchronverters:inverts without a dedicated synchronization unit[J]. IEEE Transactions on Power Elections,2014,29(2):617-630
[5]程冲,杨欢,曾正.等.虚拟同步发电机的转动惯量自适应控制方法[J].电力系统自动化,2015,39(19):82-89.Cheng Chong,Yang Huan,Zeng Zheng,et al. Rotor Inertia Adaptive ControlMethod of VSG[J]. Automation of Electruc Power System.2015,39(19):82-89.
[6] Miguel A,Torrse L,Lopes. et al. Self-tuning virtual synchronous machine:a control strategy for energy storage systems to support dynamic frequency control[J]. IEEE Transactions on Energy Conversion,2014,29(4):833-840
[7]李东东,朱钱唯,程云志,等.基于自适应惯量阻尼综合控制算法的虚拟同步发电机控制策略[J].电力自动化设备,2017,37(11):72-77.Li Dongdong,Zhu Qianwei,Cheng Yunzhi,et al. Control strategy of virtual synchronous generator based on self-adaptive rotor inertia and damping combination control algorithm. Electric Power Automation Equipment. 2017,37(11):72-77.
[8]陈来军,王任,郑天文,等.基于参数自适应调节的虚拟同步发电机暂态响应优化控制[J].中国电机工程学报,2016,36(21):5724-5731,6014.Chen Laijun,Wang Ren,Zheng Tianwen,et al. Optimal control of transient response of virtual synchronous generator based on adaptive parameter adjustment[J]. Proceedings of the CSEE,2016,36(21):5724-5731,6014.
[9]盛万兴,刘海涛,曾正,等.一种基于虚拟电机控制的能量路由器[J].中国电机工程学报,2015,35(14):3541-3550.Sheng Wanxing,Liu Haitao,Zeng Zheng,et al. An Energy Hub Based on Virtual-Machine Control[J]. Proceedings of the CSEE,2015,35(14):3541-3550.
[10]程启明,杨小龙,褚思远,等.基于虚拟直流发电机的光伏系统控制策略[J].高电压技术,2017,43(7):2097-2104.Cheng Qiming,Yang Xiaolong,Chu Siyuan,et al. Research on Control Strategy of PV System Based on Virtual DC Generator[J]. High Voltage Engineering. 2017,43(7):2097-2104.
[11]张辉,谭树成,肖曦,等.具有直流电机特性的储能接口变换器控制策略[J].高电压技术,2018,44(1):119-125.Zhang Hui,Tan Shucheng,Xiao Xi,Control Strategy of Energy Storage Converter with DC Machine Characteristics[J]. High Voitage Engineering. 2018,44(1):119-125.
[12]伍文华,陈燕东,罗安.等.一种直流微网双向并网变换器虚拟惯性控制策略[J].中国电机工程学报,2017,37(2):360-371.Wu Wenhua,Chen Yandong,Luo An. et al. A virtual inertia control strategy for bidirectional grid-connected converters in DC micro-grids[J]. Proceedings of the CSEE,2017,37(2):360-371.
[13]朱晓荣,蔡杰,王毅,等.风储直流微网虚拟惯性控制技术[J].中国电机工程学报,2016,36(1):49-58.Zhu Xiaorong,Cai Jie,Wang Yi,et al. Virtual inertia control of windbattery-based DC micro-grid[J]. Proceedings of the CSEE. 2016,36(1):49-58
[14]辜承林,陈乔夫,熊永前.电机学[M].武汉:华中科技大学出版社,2005.
[15]FENG X G,LIU J J,LEE F C. Impendance specification for stable DC distributed power systems[J]. IEEE Trans on Power Electronics,2002,17(2):157-162.