Dynamic Modelling and Simulation of Power Electronic Converter in DIgSILENT Simulation Language (DSL): Islanding Operation of Microgrid System with Multi-energy Sources

Pachanapan, Piyadanai

doi:10.1007/978-3-030-54124-8_3

Cited by 1 publication

(1 citation statement)

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“…The converter efficiency changes in real time with the voltage, current, time, and environmental conditions, and thus it is necessary to consider the dynamic converter efficiency to improve the effectiveness of microgrid multi-time-scale power and energy management. Pachanapan [48] presented a dynamic model of the grid-tied inverters used in battery and PV systems. Kong and Nian [49] proposed a transient modelling method for DC microgrids that considered the control effects of different DC/AC and DC/DC converters; their results showed that the proposed method can not only improve the accuracy of transient analysis of the DC microgrids, but can also enhance the calculation efficiency.…”

Section: State-of-the-artmentioning

confidence: 99%

The Design and Application of Microgrid Supervisory System for Commercial Buildings Considering Dynamic Converter Efficiency

et al. 2023

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This paper presents a supervisory system that considers converter efficiency for local microgrids of commercial buildings to solve the uncertainty problem of the sources and loads while also optimizing local microgrid operating costs and maintaining power supply quality for commercial buildings. The supervisory system includes an energy management layer and a power management layer. In the energy management layer, a long-term optimization approach is used to reduce the operating costs by considering the dynamic converter efficiency. In the power management layer, a real-time power optimization method is structured to deal with the uncertainty problem of the sources and loads, and to ensure that the direct current bus power is balanced while also guaranteeing the power quality by considering the dynamic converter efficiency. Four cases are proposed for the supervisory system, and these cases are simulated in MATLAB/Simulink under three typical weather conditions: cloud, sunshine, and rain. The comparison of simulation results for cases 1 and 2 illustrates the impact of converter efficiency on energy coordination in microgrids. The simulation results of cases 3 and 4 verify that the performance—in terms of the power supply quality and the operating costs—of the proposed microgrid supervisory system considering dynamic converter efficiency outperforms that of the microgrid supervisory system considering fixed converter efficiency.

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Section: State-of-the-artmentioning

confidence: 99%