Finite-Time Event-Triggered Distributed Cooperative Secondary Control for Islanded Microgrids with Plug-and-Play Capability and Communication Delay Robustness
pdf

Keywords

Microgrid
Distributed Control
Finite-time Consensus
Event-triggered Communication
Plug-and-play
Switching Topology

How to Cite

[1]
M. N.-A.-A. Dony, B. Arhin, B. E. . Wilson, and E. A. . Nyantakyi, “Finite-Time Event-Triggered Distributed Cooperative Secondary Control for Islanded Microgrids with Plug-and-Play Capability and Communication Delay Robustness”, PEC, vol. 3, no. 2, pp. 123–146, Sep. 2026, doi: 10.62777/pec.v3i2.118.

Abstract

Distributed Cooperative Secondary Control (DCSC) is a critical layer in the hierarchical control architecture of islanded microgrids, responsible for eliminating steady-state voltage and frequency deviations introduced by primary droop control. However, conventional linear DCSC strategies suffer from four fundamental limitations: (i) asymptotic convergence with settling times dependent on initial conditions, (ii) continuous communication requirements that consume excessive bandwidth, (iii) vulnerability to abrupt topology changes during Plug-and-Play (PnP) operations, and (iv) performance degradation under communication time delays. This paper proposes a unified Finite-Time Event-Triggered DCSC (FT-ET-DCSC) framework that simultaneously addresses all four challenges. A nonlinear signed-power consensus protocol guarantees exact voltage synchronization within a strict, calculable finite time bound that is independent of initial conditions. A state-dependent event-triggered communication mechanism reduces bandwidth utilization by over 98% relative to a continuous-transmission baseline while provably excluding Zeno behavior. Rigorous Lyapunov-based stability analysis proves finite-time convergence, and a Lyapunov–Krasovskii functional approach establishes delay-dependent robustness, with stable operation under time-varying communication delays confirmed in simulation up to 500 ms. Furthermore, the framework maintains absolute stability under switching communication topologies induced by PnP events via a common Lyapunov function argument. Comprehensive simulations of a heterogeneous 4-DG microgrid validate the theoretical claims, demonstrating up to a 4.28× convergence speedup over linear methods, seamless recovery during dynamic DG disconnection and reconnection, and stable operation under severe network delays.

pdf

References

A. Bidram, A. Davoudi, F. L. Lewis, and J. M. Guerrero, “Distributed Cooperative Secondary Control of Microgrids Using Feedback Linearization,” IEEE Transactions on Power Systems, vol. 28, no. 3, pp. 3462–3470, Aug. 2013, doi: 10.1109/TPWRS.2013.2247071.

J. M. Guerrero, J. C. Vasquez, J. Matas, L. G. de Vicuna, and M. Castilla, “Hierarchical Control of Droop-Controlled AC and DC Microgrids—A General Approach Toward Standardization,” IEEE Transactions on Industrial Electronics, vol. 58, no. 1, pp. 158–172, Jan. 2011, doi: 10.1109/TIE.2010.2066534.

I. K. Otchere, B. Arhin, K. A. Kyeremeh, and E. A. Frimpong, “Investigation of Voltage Stability for Transmission Network with High Penetration of Wind Energy Sources,” in 2020 IEEE PES/IAS PowerAfrica, IEEE, Aug. 2020, pp. 1–5. doi: 10.1109/PowerAfrica49420.2020.9219937.

S. Liemann and C. Rehtanz, “Voltage stability analysis of grid-forming converters with current limitation,” Electric Power Systems Research, vol. 235, p. 110820, Oct. 2024, doi: 10.1016/j.epsr.2024.110820.

D. E. Olivares et al., “Trends in Microgrid Control,” IEEE Trans. Smart Grid, vol. 5, no. 4, pp. 1905–1919, Jul. 2014, doi: 10.1109/TSG.2013.2295514.

M. C. Chandorkar, D. M. Divan, and R. Adapa, “Control of parallel connected inverters in standalone AC supply systems,” IEEE Trans. Ind. Appl., vol. 29, no. 1, pp. 136–143, 1993, doi: 10.1109/28.195899.

J. W. Simpson-Porco, F. Dörfler, and F. Bullo, “Synchronization and power sharing for droop-controlled inverters in islanded microgrids,” Automatica, vol. 49, no. 9, pp. 2603–2611, Sep. 2013, doi: 10.1016/j.automatica.2013.05.018.

J. A. P. Lopes, C. L. Moreira, and A. G. Madureira, “Defining Control Strategies for MicroGrids Islanded Operation,” IEEE Transactions on Power Systems, vol. 21, no. 2, pp. 916–924, May 2006, doi: 10.1109/TPWRS.2006.873018.

A. Bidram, A. Davoudi, F. L. Lewis, and Z. Qu, “Secondary control of microgrids based on distributed cooperative control of multi‐agent systems,” IET Generation, Transmission & Distribution, vol. 7, no. 8, pp. 822–831, Aug. 2013, doi: 10.1049/iet-gtd.2012.0576.

M. N.-A.-A. Dony and W. Dong, “Distributed Robust Formation Flying and Attitude Synchronization of Spacecraft,” J. Aerosp. Eng., vol. 34, no. 3, p. 04021015, May 2021, doi: 10.1061/(ASCE)AS.1943-5525.0001262.

V. Nasirian, Q. Shafiee, J. M. Guerrero, F. L. Lewis, and A. Davoudi, “Droop-Free Distributed Control for AC Microgrids,” IEEE Trans. Power Electron., vol. 31, no. 2, pp. 1600–1617, Feb. 2016, doi: 10.1109/TPEL.2015.2414457.

R. Olfati-Saber and R. M. Murray, “Consensus Problems in Networks of Agents With Switching Topology and Time-Delays,” IEEE Trans. Automat. Contr., vol. 49, no. 9, pp. 1520–1533, Sep. 2004, doi: 10.1109/TAC.2004.834113.

Y. Xu, W. Zhang, G. Hug, S. Kar, and Z. Li, “Cooperative Control of Distributed Energy Storage Systems in a Microgrid,” IEEE Trans. Smart Grid, vol. 6, no. 1, pp. 238–248, Jan. 2015, doi: 10.1109/TSG.2014.2354033.

A. Chantola, V. Sharma, D. Singh, and K. Nath, “A Distributed Event-Triggered Control For Secondary Voltage and Frequency Restoration of Islanded Microgrid,” in 2026 IEEE North-East India International Energy Conversion Conference and Exhibition (NE-IECCE), IEEE, Jun. 2026, pp. 1–5. doi: 10.1109/NE-IECCE69680.2026.11666136.

Y. Fan, G. Hu, and M. Egerstedt, “Distributed Reactive Power Sharing Control for Microgrids With Event-Triggered Communication,” IEEE Transactions on Control Systems Technology, vol. 25, no. 1, pp. 118–128, Jan. 2017, doi: 10.1109/TCST.2016.2552982.

S. P. Bhat and D. S. Bernstein, “Finite-Time Stability of Continuous Autonomous Systems,” SIAM J. Control Optim., vol. 38, no. 3, pp. 751–766, Jan. 2000, doi: 10.1137/S0363012997321358.

Long Wang and Feng Xiao, “Finite-Time Consensus Problems for Networks of Dynamic Agents,” IEEE Trans. Automat. Contr., vol. 55, no. 4, pp. 950–955, Apr. 2010, doi: 10.1109/TAC.2010.2041610.

Z. Zuo and L. Tie, “A new class of finite-time nonlinear consensus protocols for multi-agent systems,” Int. J. Control, vol. 87, no. 2, pp. 363–370, Feb. 2014, doi: 10.1080/00207179.2013.834484.

D. V. Dimarogonas, E. Frazzoli, and K. H. Johansson, “Distributed Event-Triggered Control for Multi-Agent Systems,” IEEE Trans. Automat. Contr., vol. 57, no. 5, pp. 1291–1297, May 2012, doi: 10.1109/TAC.2011.2174666.

G. S. Seyboth, D. V. Dimarogonas, and K. H. Johansson, “Event-based broadcasting for multi-agent average consensus,” Automatica, vol. 49, no. 1, pp. 245–252, Jan. 2013, doi: 10.1016/j.automatica.2012.08.042.

P. Tong, S. Chen, and L. Wang, “Finite-time consensus of multi-agent systems with continuous time-varying interaction topology,” Neurocomputing, vol. 284, pp. 187–193, Apr. 2018, doi: 10.1016/j.neucom.2018.01.004.

S. Liu, X. Wang, and P. X. Liu, “Impact of Communication Delays on Secondary Frequency Control in an Islanded Microgrid,” IEEE Transactions on Industrial Electronics, vol. 62, no. 4, pp. 2021–2031, Apr. 2015, doi: 10.1109/TIE.2014.2367456.

E. Fridman, Introduction to Time-Delay Systems. Cham: Springer International Publishing, 2014. doi: 10.1007/978-3-319-09393-2.

K. Gu, V. L. Kharitonov, and J. Chen, Stability of Time-Delay Systems. Boston, MA: Birkhäuser Boston, 2003. doi: 10.1007/978-1-4612-0039-0.

D. Liberzon, Switching in Systems and Control. Boston, MA: Birkhäuser Boston, 2003. doi: 10.1007/978-1-4612-0017-8.

Wei Ren and R. W. Beard, “Consensus seeking in multiagent systems under dynamically changing interaction topologies,” IEEE Trans. Automat. Contr., vol. 50, no. 5, pp. 655–661, May 2005, doi: 10.1109/TAC.2005.846556.

G. Zhao, L. Jin, H. Cui, and Y. Zhao, “Distributed Adaptive Dynamic Event-Triggered Secondary Control for Islanded Microgrids With Disturbances,” IEEE Trans. Smart Grid, vol. 14, no. 6, pp. 4268–4281, Nov. 2023, doi: 10.1109/TSG.2023.3264979.

M. Tucci, S. Riverso, J. C. Vasquez, J. M. Guerrero, and G. Ferrari-Trecate, “A Decentralized Scalable Approach to Voltage Control of DC Islanded Microgrids,” IEEE Transactions on Control Systems Technology, vol. 24, no. 6, pp. 1965–1979, Nov. 2016, doi: 10.1109/TCST.2016.2525001.

M. N.-A.-A. Dony and B. Arhin, “Data-driven distributed battery state-of-charge balancing using neural network-based open circuit voltage learning,” IFAC Journal of Systems and Control, vol. 36, p. 100415, Jun. 2026, doi: 10.1016/j.ifacsc.2026.100415.

J. Schiffer, R. Ortega, A. Astolfi, J. Raisch, and T. Sezi, “Conditions for stability of droop-controlled inverter-based microgrids,” Automatica, vol. 50, no. 10, pp. 2457–2469, Oct. 2014, doi: 10.1016/j.automatica.2014.08.009.

Md. N.-A.-A. Dony, M. Rafat, and W. Dong, “Distributared Command Filtered Robust Tracking Control of Wave-Adaptive Modular Vessel with Uncertainty,” in 2020 American Control Conference (ACC), IEEE, Jul. 2020, pp. 2118–2123. doi: 10.23919/ACC45564.2020.9147520.

W. Dong, M. N. Dony, and M. Rafat, “Tracking control of vertical taking‐off and landing vehicles with parametric uncertainty,” Int. J. Adapt. Control Signal Process., vol. 34, no. 9, pp. 1294–1307, Sep. 2020, doi: 10.1002/acs.3143.

F. L. Lewis, H. Zhang, K. Hengster-Movric, and A. Das, Cooperative Control of Multi-Agent Systems. London: Springer London, 2014. doi: 10.1007/978-1-4471-5574-4.

Hongwei Zhang, F. L. Lewis, and A. Das, “Optimal Design for Synchronization of Cooperative Systems: State Feedback, Observer and Output Feedback,” IEEE Trans. Automat. Contr., vol. 56, no. 8, pp. 1948–1952, Aug. 2011, doi: 10.1109/TAC.2011.2139510.

X. Ge, F. Yang, and Q.-L. Han, “Distributed networked control systems: A brief overview,” Inf. Sci. (N. Y)., vol. 380, pp. 117–131, Feb. 2017, doi: 10.1016/j.ins.2015.07.047.

M. N.-A.-A. Dony, M. E. Khallil, and Md. S. Ali, “Adaptive Reinforcement Learning with Control Barrier Functions for Safe State Avoidance in Discrete Event Systems,” in Proceedings of the International Conference on Industrial Engineering and Operations Management, Michigan, USA: IEOM Society International, Dec. 2025, pp. 1624–1634. doi: 10.46254/BA08.20250300.

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright (c) 2026 Md Nur-A-Adam Dony, Bernard Arhin, Benjamin Egyin Wilson, Emmanuel Agyepong Nyantakyi (Author)