Distributed Control Framework and Scalable Small-signal Stability Analysis for Dynamic Microgrids

doi:10.23919/CJEE.2021.000037

Chinese Journal of Electrical Engineering ›› 2021, Vol. 7 ›› Issue (4): 49-59.doi: 10.23919/CJEE.2021.000037

• Special Issue Papers • Previous Articles Next Articles

扫码分享

Distributed Control Framework and Scalable Small-signal Stability Analysis for Dynamic Microgrids

Yuxi Men, Yuhua Du, Xiaonan Lu^*

College of Engineering, Temple University, Philadelphia 19122, USA

Received:2021-09-20 Revised:2021-11-25 Accepted:2021-12-05 Online:2021-12-25 Published:2022-01-07
Contact: *E-mail: xiaonan.lu@temple.edu
About author:Yuxi Men (S'19) received the B.S. degree in Faculty of Water Resources and Hydroelectric Engineering from Xi'an University of Technology, Xi'an, China in 2017 and the M.E. degree in Energy System Engineering Institute from Lehigh University, Bethlehem, USA in 2018. He is currently pursuing Ph.D. degree in Electrical and Computer Engineering from Temple University, Philadelphia, PA, USA. His research interest includes modeling and control of inverter-dominated hybrid and networked AC and DC microgrids.
Yuhua Du (S'17-M'21) received the B.S degree in Electrical Engineering from Xi'an Jiaotong University, China in 2013 and Ph.D. degree in Electrical and Computer Engineering from North Carolina State University, USA in 2019. He was a Research Aide with Argonne National Laboratory in 2018. He is currently a Postdoctoral Fellow in Temple University. His research interests include voltage source converter modeling and control, microgrid distributed secondary control and development of microgrid hardware-in-the-loop testbed.
Xiaonan Lu (S'12-M'13) received his B.E. and Ph.D. degrees in Electrical Engineering from Tsinghua University, Beijing, China, in 2008 and 2013, respectively. From September 2010 to August 2011, he was a guest Ph.D. student at the Department of Energy Technology, Aalborg University, Denmark. From October 2013 to December 2014, he was a Postdoc Research Associate at the Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville. From January 2015 to July 2018, he was with Argonne National Laboratory, first as a Postdoc Appointee and then as an Energy Systems Scientist. In July 2018, he joined the College of Engineering at Temple University as an Assistant Professor. His research interests include modeling and control of power electronic inverters, hybrid AC and DC microgrids, and real-time hardware-in-the-loop simulation. Dr. Lu is the Associate Editor of IEEE Transactions on Industrial Electronics, the Associate Editor of IEEE Transactions on Industry Applications, and the Editor of IEEE Transactions on Smart Grid. He serves as the Vice Chair of the Industrial Power Converters Committee (IPCC) in the IEEE Industry Applications Society (IAS). He is also the recipient of the 2020 Young Engineer of the Year Award in the IEEE Philadelphia Section.

Abstract

Abstract: As a growing number of microgrids (MGs) has been integrated into the modern power grids, the interconnection and applicable cooperation among multiple MGs motivate the development of networked MGs. Dynamic MGs, as an advanced networked MGs structure, can not only integrate multiple MGs into the distribution system but also fulfill the requested system network reconfiguration with improved flexibility. A general distributed control approach for networked MGs is reviewed. A distributed control framework for dynamic MGs operation is developed, along with an extensible architecture with considerations of large-scale distributed energy resources (DERs) integration. A scalable small-signal stability analysis is conducted per the proposed distributed control strategies and the conditions under which the system is exponentially stable are derived. At last, the effectiveness of the proposed control framework and stability analysis are verified using a 6-bus test feeder.

Key words: Dynamic microgrids, distributed control, networked microgrids, small-signal stability analysis

Yuxi Men, Yuhua Du, Xiaonan Lu. Distributed Control Framework and Scalable Small-signal Stability Analysis for Dynamic Microgrids[J]. Chinese Journal of Electrical Engineering, 2021, 7(4): 49-59.

References

[1] R H Lasseter.Microgrids.Proc. IEEE Power Eng. Soc. Winter Meet., 2002, 1: 305-308.
[2] F Nejabatkhah, Y W Li.Overview of power management strategies of hybrid AC/DC microgrid.IEEE Trans. Power Electron., 2015, 30(12): 7072-7089.
[3] N Hatziargyriou.Microgrids: Architectures and control. Hoboken: Wiley, 2014.
[4] Z Wang, B Chen, J Wang, et al.Networked microgrids for self-healing power systems.IEEE Trans. Smart Grid, 2016, 7(1): 310-319.
[5] Y Du, X Lu, J Wang, et al.Dynamic microgrids in resilient distribution systems with reconfigurable cyber-physical networks.IEEE J. Emerging and Selected Topics in Power Electron., 2021, 9(5): 5192-5205.
[6] Y Du, Y Men, X Lu, et al.Coastal community resiliency enhancement using marine hydrokinetic (MHK) resources and networked microgrids. Technical Report at Argonne National Laboratory, United States, 2021.
[7] Q Zhou, M Shahidehpour, A Paaso, et al.Distributed control and communication strategies in networked microgrids.IEEE Commun. Surv. Tutor., 2020, 22(4): 2586-2633.
[8] M E Nassar, M M A Salama. Adaptive self-adequate microgrids using dynamic boundaries.IEEE Trans. Smart Grid, 2016, 7(1): 105-113.
[9] Y Du, X Lu, J Wang, et al.Distributed secondary control strategy for microgrid operation with dynamic boundaries.IEEE Trans. Smart Grid, 2019, 10(5): 5269-5282.
[10] J M Guerrero, J C Vasquez, J Matas, et al.Hierarchical control of droop-controlled AC and DC microgrids: A general approach toward standardization.IEEE Trans. Ind. Electron., 2011, 58(1): 158-172.
[11] X Lu, J M Guerrero, K Sun, et al.Hierarchical control of parallel AC-DC converter interfaces for hybrid microgrids.IEEE Trans. Smart Grid, 2014, 5(2): 683-692.
[12] J M Guerrero, L G de Vicuna, J Matas, et al. A wireless controller to enhance dynamic performance of parallel inverters in distributed generation systems.IEEE Trans. Power Electron., 2004, 19(5): 1205-1213.
[13] Y W Li, C Kao.An accurate power control strategy for power electronics-interfaced distributed generation units operating in a low voltage multibus microgrid.IEEE Trans. Power Electron., 2009, 24(12): 2977-2988.
[14] Q Shafiee, J M Guerrero, J C Vasquez.Distributed secondary control for islanded microgrids: A novel approach.IEEE Trans. Power Electron., 2014, 29(2): 1018-1031.
[15] Y Du, X Lu, H Tu, et al.Dynamic microgrids with self-organized grid-forming inverters in unbalanced distribution feeders.IEEE J. of Emerging and Selected Topics in Power Electron., 2020, 8(2): 1097-1107.
[16] J W Simpson-Porco, Q Shafiee, F Dörfler, et al. Secondary frequency and voltage control of islanded microgrids via distributed averaging.IEEE Trans. Ind. Electron., 2015, 62(11): 7025-7038.
[17] Q Shafiee, Č Stefanović, T Dragičević, et al.Robust networked control scheme for distributed secondary control of islanded microgrids.IEEE Trans. Ind. Electron., 2014, 61(10): 5363-5374.
[18] Z Cheng, J Duan, M Chow.To centralize or to distribute? That is the question: A comparison of advanced microgrid management systems.IEEE Ind. Electron. Magazine, 2018, 12(1): 6-24.
[19] Y Du, H Tu, H Yu, et al.Accurate consensus-based distributed averaging with variable time delay in support of distributed secondary control algorithms.IEEE Trans. Smart Grid, 2020, 11(4): 2918-2928.
[20] D P Spanos, R Olfati-Saber, R M Murray.Dynamic consensus on mobile networks.Proc. IFAC World Congr., 2005: 1-6.
[21] Z Li, M Shahidehpour.Small-signal modeling and stability analysis of hybrid AC/DC microgrids.IEEE Trans. Smart Grid, 2019, 10(2): 2080-2095.
[22] F M Atay.Consensus in networks under transmission delays and the normalized Laplacian.IFAC Proc., 2010, 43(2): 277-282.
[23] Y J Kim, J Wang, X Lu.A framework for load service restoration using dynamic change in boundaries of advanced microgrids with synchronous-machine DGs.IEEE Trans. Smart Grid, 2018, 9(4): 3676-3690.
[24] Y Du, X Lu, B Chen, et al.Distributed average observation in inverter dominated dynamic microgrids.in 2020 IEEE Energy Conversion Congress and Exposition (ECCE), 2020: 4627-4633.
[25] X Wang, Y Song, M Irving.Modern power systems analysis. New York: Springer, 2010.
[26] J Machowski, J W Bialek, J R Bumby.Power system dynamics. 2nd ed. Hoboken: Wiley, 2008.
[27] R A Horn, R A Horn, C R Johnson.Matrix analysis. Cambridge: Cambridge University Press, 1990.
[28] R Olfati-Saber, J A Fax, R M Murray.Consensus and cooperation in networked multi-agent systems.Proc. IEEE, 2007, 95(1): 215-233.
[29] J Millman.A useful network theorem.Proc. IRE, 1940, 28(9): 413-417.

Distributed Control Framework and Scalable Small-signal Stability Analysis for Dynamic Microgrids

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 6

Recommended Articles

Metrics

Comments

[1]	Mao Meiqin,Xu Rui. Economic Dispatch Method for Islanding Microgrids Based on Distributed Control [J]. Journal of Electrical Engineering, 2018, 13(9): 8-13.
[2]	Tomislav Dragicevic, Dan Wu, Qobad Shafiee, Lexuan Meng. Distributed and Decentralized Control Architectures for Converter-Interfaced Microgrids [J]. Chinese Journal of Electrical Engineering, 2017, 3(2): 41-52.
[3]	Zhang Junjun,Wu Hongfei,Ge Hongjuan,Xing Yan,Cao Feng. Power System with Modular Three-Port Converters for Distributed Loads [J]. Journal of Electrical Engineering, 2015, 10(4): 91-98.
[4]	SUN Kai;GAO Jianmin;GAO Zhiyong. Health State Analysis of Modern Industry System through System Color Picture Based on the Data-driven [J]. , 2012, 48(18): 186-191.
[5]	WEI Hongxing;WANG Tianmiao. Configuration Analysis and Self-assembly Control for Modular Swarm Robots [J]. , 2010, 46(13): 100-108.
[6]	WANG Panfeng;MEI Jiangping;CHEN Hengjun;ZHAO Xueman;HUANG Tian;WANG Youyu. CONTROL SYSTEM DESIGN FOR AUTOMATIC SORTING OF LITHIUMION BATTERY USING MULTIPLE PARALLEL MANIPULATORS [J]. , 2007, 43(11): 63-68.