An Optimal Coordination Control Strategy of Micro-Grid Inverter and Energy Storage Based on Variable Virtual Inertia and Damping of VSG

Chinese Journal of Electrical Engineering ›› 2017, Vol. 3 ›› Issue (3): 25-33.

Previous Articles Next Articles

An Optimal Coordination Control Strategy of Micro-Grid Inverter and Energy Storage Based on Variable Virtual Inertia and Damping of VSG

Xing Zhang^*, Fubin Mao, Haizhen Xu, Fang Liu, Ming Li

School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China

Online:2017-09-25 Published:2019-11-01
Contact: * E-mail: honglf@ustc.edu.cn.
About author:Xing Zhang received the B.S., M.S., and Ph.D. degrees in electric engineering and automation from Hefei University of Technology, Hefei, China, in1984, 1990, and 2003, respectively. In 1984, he joined the School of Electric Engineering and Automation, Hefei University of Technology, where he is currently a Professor and is also at the Photovoltaic Engineering Research Center of Ministry of Education. He is a senior member of IEEE, and an Associate Editor for the IEEE Journal of Emerging and Selected Topics in Power Electronics. He has been cooperating with the Sun grow Power Supply Co., Ltd for a long time in the area of power electronics. His main research interests include photovoltaic generation technologies, wind power generation technologies, and distributed generation system. Fubin Mao, was born in Shandong, China, in 1990. He received the B.S. and M.S. degrees in electric engineering and automation from Hefei University of Technology, Hefei, China, in 2013 and 2016, respectively. From May 2016, he served as an engineer at Anhui Electric Power Design Institute, CEEC. His research interests include control of VSG converters, photovoltaic generation technologies and micro-grid system. Haizhen Xu received the B.S. degrees in electric engineering and automation from Hefei University of Technology, Hefei, China, in 2010. She is currently working toward the Ph. D. degree in electric engineering and automation in Hefei University of Technology. Her current research interests include control of VSG converters, parallel converter systems, and photovoltaic generation technologies. Fang Liu received the B.S., M.S. and Ph.D. degrees in electrical engineering from Hefei University of Technology (HFUT), Hefei, China, in 2005, 2008 and 2015, respectively. In 2015, she joined the teaching faculty of the School of Electrical Engineering and Automation, HFUT. From April. 2008 to Aug. 2009, she served as a software engineer at EMERSON network (Xi’an) Power. From Oct. 2011 to Oct.2012, she served as a Visiting Scholar at the Lab of WEMPEC, University of Wisconsin, Madison, America. Her research interests include the PV generation system, storage energy system, Micgrid system, energy management system, and grid-tied converters. [@[fund_en]]

Abstract

Abstract: The virtual inertia and virtual damping affect both the dynamic stability of the virtual synchronous generator(VSG) and the configuration of energy storage, but there is a conflict between them while selecting the virtual inertia and virtual damping. An optimal coordination control strategy of micro-grid inverter and energy storage based on variable virtual inertia and damping is proposed to mitigate this conflict. With the integrated optimal constraint of the VSG frequency variation and the energy storage capacity, the virtual inertia and damping of VSG are configured dynamically, adopting linear quadratic optimal control. It can suppress the oscillations of the active power and frequency to improve the stability of VSG and optimally configure the energy storage capacity of VSG simultaneously. The proposed strategy aims to improve the control performance of micro-grid inverter and the system economy. The simulation and experimental results verify the effectiveness of the strategy.

Key words: Virtual synchronous generator (VSG), micro-grid, frequency variation, variable inertia and damping, optimal control

Xing Zhang, Fubin Mao, Haizhen Xu, Fang Liu, Ming Li. An Optimal Coordination Control Strategy of Micro-Grid Inverter and Energy Storage Based on Variable Virtual Inertia and Damping of VSG[J]. Chinese Journal of Electrical Engineering, 2017, 3(3): 25-33.

References

[1] F. Blaabjerg, R. Teodorescu, M. Liserre,A. V. Timbus, “Overview of control and grid synchronization for distributed power generation systems,” IEEE Trans. Ind. Electron., vol. 53, no. 5, pp. 1398-1409, Oct.2006.
[2] Z. Lv, W. Sheng, Q. Zhong, H. Liu, andZ. Zeng “Virtual synchronous generator and its applications in micro-grid,” Proceedings of the CSEE, vol.34,no.16,pp.2591-2603,2014.(in Chinese)
[3] K. Sakimoto, Y. Miura,T. Ise, “Stabilization of a power system with a distributed generator by a Virtual Synchronous Generator function,” Proceedings of IEEE 8th International Conference on Power Electronics ECCE Asia, 2011, Jeju, South Korea.
[4] Xing Zhang, Debin Zhu,Haizhen Xu,“Review of virtual synchronous generator technology in distributed generation,” Journal of Power Supply, vol.10,no.3,pp.1-6,2012.(in Chinese)
[5] S. D’Arco,J. A. Suul, “Virtual synchronous machines- Classification of implementations and analysis of equivalence to droop controllers for microgrids,” Proceedings of IEEE Power Tech, Grenoble, France,2013.
[6] J. Liu, Y. Miura,T. Ise, “Dynamic characteristics and stability comparisons between virtual synchronous generator and droop control in inverter based distributed generators,” inProc. Int. Power Electron. Conf., pp. 1536-1543, 2014.
[7] M. Torres,L. A. C.Lopes, “An optimal virtual inertia controller to support frequency regulation in autonomous diesel power systems with high penetration of renewable,” Proceedings of the International Conference on Renewable Energies and Power Quality, Spain, 2011.
[8] Q. Zhong,G. Weiss, “Synchronverters: Inverters that mimic synchronous generators,” IEEE Transactions on Industrial Electronics, vol.58, no.4, pp.1259-1267, 2011.
[9] H. Beck,R. Hesse, “Virtual synchronous machine,” Proceeding of IEEE International Conference on Electrical Power Quality and Utilisation, Barcelona, Spain.
[10] Wei Du, Qirong Jiang,Jiaorui Chen “Frequency control strategy of distributed generations based on virtual inertia in a microgrid,” Automation of Electric Power Systems, vol.35, no.23, pp.26-31, 2011.(in Chinese)
[11] Y. Du, J. M. Guerrero, L. Chang, J. Su,M. Mao, “Modeling, analysis, and design of a frequency-droop-based virtual synchronous generator for microgrid applications,” inProc. ECCE Asia Downunder, pp. 643-649, 2013.
[12] T. Shintai, Y. Miura,T. Ise, “oscillation damping of a distributed generator using a virtual synchronous generator,” IEEE Transactions on Power Delivery, vol.29, no.2, pp.668-676, 2014.
[13] Jaber Alipoor, Yushi Miura,Toshifumi Ise, “Power system stabilization using virtual synchronous generator with adoptive moment of inertia,” IEEE Emerging and Selected Topics in Power Electronics, vol.3, no.2, pp.451-458, 2014.
[14] J. Alipoor, Y. Miura,T. Ise, “Distributed generation grid integration using virtual synchronous generator with adoptive virtual inertia,” Proceedings of Energy Conversion Congress and Exposition (ECCE), Denver, United States, 2013.
[15] L. M. A.Torres, L. A. C. Lopes, and T. L. A. Moran, “Selftuning virtual synchronous machine: a control strategy for energy storage systems to support dynamic frequency control,” IEEE Transactions on Energy Conversion, vol.29, no.4, pp.833-840, 2014.
[16] Yixin Ni, Shousong Chen,Baolin Zhang, Theory and analysis of Dynamic Power System. Beijing: Tsinghua University Press, 2002. (in Chinese)
[17] Ming Ding, Xiangzhen Yang,Jianhui Su, “Control strategies of inverters based on virtual synchronous generator in a microgrid,” Automation of Electric Power Systems, vol.33, no.8, pp.89-93, 2009.(in Chinese)
[18] Dehong Xu, Modeling and Control of Power Electronic System. Beijing: China Machine Press, 2006. (in Chinese)
[19] Xiaofeng Sun, Kun Wei, Weiyang Wu, et al.“Optimal control of three phase converter,” Proceedings of the CSEE, vol.24, no.7, pp.168-172, 2004.(in Chinese)
[20] Chuanjiang Li,Guangfu Ma, Optimal Control.Beijing: Science Press, 2011.(in Chinese)
[21] IEEE Standard for Interconnecting Distributed Resources with Electric Power Systems[S]. 2003.

An Optimal Coordination Control Strategy of Micro-Grid Inverter and Energy Storage Based on Variable Virtual Inertia and Damping of VSG

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments

[1]	PENG Haijun, SHI Boyang, WANG Xinwei, XIE Xiaohui, SUN Lining. Trajectory Planning of Double Pendulum Crane Considering Interval Uncertainty [J]. Journal of Mechanical Engineering, 2019, 55(2): 204-213.
[2]	YANG Liangliang, WANG Jie, WANG Fei, SHI Weimin. Research on Vibration Suppression of Linear Servo System Based on Optimal Control Iterative Learning [J]. Journal of Mechanical Engineering, 2019, 55(15): 217-225.
[3]	XU Shaobing, LIU Xuedong, LI Shengbo, DU Xuejin, LIN Qingfeng, CHENG Bo. Fuel-saving Pulse-and-glide Cruising Strategy for Road Vehicles with Discrete Gear Ratio [J]. Journal of Mechanical Engineering, 2017, 53(14): 49-58.
[4]	Congqi Xu,Ruilin Gao,Guizhi Jia, ,Qinghui Liu. Scheduling of Micro-Grid Considering Electrical Vehicles of Time-of-Use Tariffs [J]. Journal of Electrical Engineering, 2017, 12(11): 12-20.
[5]	XU Shaobing, LI Shengbo, ZHAO Yunhui, CHENG Bo. Optimization and Analysis of Economical Accelerating Strategy for CVT Vehicles [J]. Journal of Mechanical Engineering, 2015, 51(12): 110-119.
[6]	LIU Canchang;LIU Lu. Optimal Control for Superharmonic Vibration of Intelligent Structures [J]. , 2014, 50(1): 98-103.
[7]	XIA Shaojun;CHEN Lingen;SUN Fengrui. Entransy Dissipation Minimization for Isothermal Crystallization Processes with Diffusive Mass Transfer Law [J]. , 2013, 49(24): 175-182.
[8]	YAN Xiaolei;ZHONG Zhihua;ZHANG Yi;SUN Guangyong. Shape Optimization of Energy Storage Flywheel Rotor Based on Optimal Control Theory [J]. , 2012, 48(3): 189-198.
[9]	WANG Hongli;SHEN Yuhang;XU Jia;GE Gen. Reliability and Control on Vehicle Stochastic Vibration Based on Semi-active Suspension System with Shape Memory Alloy Spring [J]. , 2010, 46(12): 93-98.
[10]	YUE Ming;DENG Zongquan. Dynamic Modeling and Optimal Controller Design of a Spherical Robot in Climbing State [J]. , 2009, 45(11): 46-51.
[11]	CHEN Guoliang;HUANG Xinhan;WANG Min. Micro-visual Servoing for Micro-assembly [J]. , 2008, 44(2): 82-86.
[12]	LI Jun;CHEN Lingen;SUN Fengrui. Optimal Configuration of an Endoreversible Heat Engine for Maximum Power Output with Fixed Duration and Linear Phenomenological Heat Transfer Law [J]. , 2008, 44(1): 67-74.
[13]	He Guangping;Lu Zhen;Wang Fengxiang. DYNAMIC MOTION PLANNING AND CONTROL OF UNDER-ACTUATED MANIPULATORS BASED ON DYNAMIC SUB-SPACE METHOD [J]. , 2004, 40(8): 145-149.
[14]	Ge Xinsheng;Chen Liqun;Lu Jie. WAVELET APPROXIMATION BASED NUMERICAL ALGORITHM FOR NONHOLONOMIC MOTION PLANNING OF MECHANICAL SYSTEM [J]. , 2004, 40(7): 41-46.
[15]	Li Pu;Chen Nan;Sun Qinghong. OPTIMAL FOLLOW UP CONTROL OF 4WS VEHICLE BASED ON STATE ESTIMATOR [J]. , 2004, 40(1): 50-55.