This paper considers a discrete-time scheduling method for the power balancing of a continuous-time DC microgrid system. A high-order dynamics and a resistor network are used for modelling the electrical storage unit and the DC bus of the centralized microgrid system, respectively. A PH (Port-Hamiltonian) formulation on graphs is employed to explicitly describe the microgrid topology. This modelling approach allows us to derive a discrete-time model which preserves the power and energy balance of the physical system. Next, a constrained economic MPC (Model Predictive Control) using the proposed control model is formulated for efficiently managing the microgrid operation. The systematic combination of the network modelling method and optimization-based control allows us to generate the appropriate power profiles. Finally, the benefits of the proposed approach are validated through simulation and comparison results over a particular DC microgrid elevator system under different scenarios and using real numerical data.

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This study examines how the quality of public administration influenced local economic growth in Vietnam from 2011 to 2019. Based on previous studies, we evaluate this impact through the Cobb–Douglas function includes government capital, thereby examining both the individual and interactive effects of local government expenditures and quality of public administration on local economic growth in Vietnam. The system GMM method (SGMM) was used to estimate the model with data collected from 61 provinces and cities in Vietnam in the period 2011–2019. The findings suggest that local government expenditures and quality of public administration positively influence local economic growth in Vietnam. Thereby, the authors propose policy implications to improve the efficiency of local government expenditures on local economic growth in Vietnam in terms of public administration.

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