Abstract
With the consideration of the large-scale amount and the characteristics of the distributed renewable energy generation, how to achieve the proportional power-sharing among DGs is an important issue to guarantee the stability and safety of the Energy Internet. In this section, a multi-agent system-based distributed coordinated control scheme is studied, and the main content contains: (1) architecture of multiagent system-based distributed coordinated control for energy internet; (2) implementation of distributed coordinated control for energy internet; (3) analysis of circulating current and design of the primary energy agent based on nonlinear model of distributed generator; (4) design of distributed coordinated control strategy based on multi-agent consensus algorithm.
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References
M.C. Chandorkar, D.M. Divan, R. Adapa, Control of parallel connected inverters in standalone ac supply systems. IEEE Trans. Ind. Appl. 29(1), 136–143 (1993)
Q. Sun, J. Zhou, J.M. Guerrero, H. Zhang, Hybrid three-phase/single-phase microgrid architecture with power management capabilities. IEEE Trans. Power Electron. 30(10), 5964–5977 (2015)
Q. Sun, R. Han, H. Zhang, J. Zhou, J.M. Guerrero, A multiagent-based consensus algorithm for distributed coordinated control of distributed generators in the energy internet. IEEE Trans. Smart Grid 6(6), 3006–3019 (2015)
D. Zhang, F. Wang, R. Burgos, R. Lai, D. Boroyevich, DC-link ripple current reduction for paralleled three-phase voltage-source converters with interleaving. IEEE Trans. Power Electron. 26(6), 1741–1753 (2011)
J.M. Guerrero, J.C. Vasquez, J. Matas, J.G. de Vicuna, M. Castilla, Hierarchical control of droop-controlled AC and DC microgrids-a general approach toward standardization. IEEE Trans. Ind. Electron. 58(1), 158–172 (2011)
Y.W. Li, C.-N. Kao, An accurate power control strategy for power-electronics-interfaced distributed generation units operating in a low-voltage multibus microgrid. IEEE Trans. Power Electron. 24(12), 2977–2988 (2009)
A. Bidram, A. Davoudi, F.L. Lewis, S.S. Ge, Distributed adaptive voltage control of inverter-based microgrids. IEEE Trans. Energy Convers. 29(4), 862–872 (2014)
J.M. Guerrero, L. Hang, J. Uceda, Control of distributed uninterruptible power supply systems. IEEE Trans Ind. Electron. 55(8), 2845–2859 (2008)
X. Lu, J.M. Guerrero, K. Sun, J.C. Vasquez, R. Teodorescu, L. Huang, Hierarchical control of parallel ac-dc converter interfaces for hybrid microgrids. IEEE Trans. Smart Grid 5(2), 683–692 (2014)
M. Savaghebi, A. Jalilian, J.C. Vasquez, J.M. Guerrero, Secondary control scheme for voltage unbalance compensation in an islanded droop-controlled microgrid. IEEE Trans. Smart Grid 3(2), 797–807 (2014)
H. Zhang, T. Feng, G. Yang, H. Liang, Distributed cooperative optimal control for multiagent systems on directed graphs: an inverse optimal approach. IEEE Trans. Cybern. 45(7), 1315–1326 (2014)
H. Zhang, J. Zhang, G. Yang, Y. Luo, Leader-based optimal coordination control for the consensus problem of multi-agent differential games via fuzzy adaptive dynamic programming. IEEE Trans. Fuzzy Syst. 23(1), 152–163 (2015)
A.L. Dimeas, N.D. Hatziargyriou, Operation of a multiagent system for microgrid control. IEEE Trans. Power Syst. 20(3), 1447–1455 (2005)
P. Papadopoulos, N. Jenkins, L.M. Cipcigan, I. Grau, E. Zabala, Coordination of the charging of electric vehicles using a multi-agent system. IEEE Trans. Smart Grid 4(4), 1802–1809 (2013)
E.L. Karfopoulos, N.D. Hatziargyriou, A multi-agent system for controlled charging of a large population of electric vehicles. IEEE Trans. Power Syst. 28(2), 1196–1204 (2013)
A. Bidram, A. Davoudi, F.L. Lwis, J.M. Guerrero, Distributed cooperative secondary control of microgrids using feedback linearization. IEEE Trans. Power Syst. 28(3), 3462–3470 (2013)
W. Liu, W. Gu, W. Sheng, X. Meng, Z. Wu, W. Chen, Decentralized multi-agent system-based cooperative frequency control for autonomous microgrid with communication constraints. IEEE Trans. Sustain. Energy 5(2), 446–456 (2014)
W. Yao, M. Chen, J. Matas, J.M. Guerrero, Z.M. Qian, Design and analysis of the droop control method for parallel inverters considering the impact of the complex impedance on the power sharing. IEEE Trans. Ind. Electron. 58(2), 576–588 (2011)
J.E. Slotine, W. Li, Applied Nonlinear Control (Prentice-Hall, Upper Saddle River, 2009)
H. Zhang, D. Liu, Y. Luo, D. Wang, Adaptive Dynamic Programming for Control-Algorithms and Stability (Springer, London, 2013)
M.Q. Wang, H.B. Gooi, Spinning reserve estimation in microgrids. IEEE Trans. Power Syst. 26(3), 1164–1174 (2011)
Y. Rebours, D.S. Kirschen, What is Spinning Reserve? (2005), http://eee.dev.ntweb.mcc.ac.uk/research/groups/eeps/publications/reportstheses/aoe/reboursetal_techrep_2005A.pdf
L. Rao, X. Liu, M.D. Ilic, J. Liu, Distributed coordination of internet data centers under multiregional electricity markets. Proc. IEEE 100(1), 269–282 (2012)
T.L. Vandoorn, J.C. Vasquez, J.D. Kooning, J.M. Guerrero, L. Vandevelde, Microgrids: hierarchical control and overview of the control and reserve management strategies. IEEE Ind. Electron. Mag. 7(4), 42–55 (2013)
C. Yuen, A. Oudalov, A. Timbus, The provision of frequency control reserves from multiple microgrids. IEEE Trans. Ind. Electron. 58(1), 173–183 (2011)
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Sun, Q. (2019). Distributed Coordinated Control for Energy Internet. In: Energy Internet and We-Energy. Renewable Energy Sources & Energy Storage. Springer, Singapore. https://doi.org/10.1007/978-981-13-0523-8_5
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DOI: https://doi.org/10.1007/978-981-13-0523-8_5
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