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Citation:Yajian Zhang,Chen Peng.Adaptive H∞ event-triggered load frequency control in islanded microgirds with limited spinning reserve constraints[J].Protection and Control of Modern Power Systems,2023,V8(2):495-507[Copy]
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Adaptive H∞ event-triggered load frequency control in islanded microgirds with limited spinning reserve constraints
Yajian Zhang,Chen Peng
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Abstract:
Using an islanded microgrid (MG) with large-scale integration of renewable energy is the most popular way of solving the reliable power supply problem for remote areas and critical electrical users. However, compared with traditional power systems, the limited spinning reserves and network communication bandwidth may cause weak frequency stability in the presence of stochastic renewable active outputs and load demand fuctuations. In this paper, an adaptive event-triggered control (ETC) strategy for a load frequency control (LFC) system in an islanded MG is proposed. First, a bounded adaptive event-triggered communication scheme is designed. This not only saves on network resources, but also ensures that the control center has a sensitive monitoring ability for the MG operating status when the frequency deviations have been efectively damped. Secondly, by fully considering the spinning reserve constraints and uncertain communication delays, the LFC system is described as a nonlinear model with saturation terms. Design criteria for ETC parameters are strictly deduced based on Lyapunov stability theory. Finally, an ETC parameter optimization algorithm based on random direction search is developed to reconcile the bandwidth occupancy and control performance. The efectiveness of the proposed method is verifed in an MG test system.
Key words:  Microgrid, Load frequency control, Event-triggered control, Nonlinear saturation, Time delay
DOI:10.1186/s41601-023-00303-z
Fund:This work was supported in part by the National Natural Science Foundation of China under Grants 62173218, 61833011, 62103254, and the International Corporation Project of Shanghai Science and Technology Commission under Grant 21190780300.
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