Based on the synthetic control of microgrid, a flexible power electronics interface is developed in this paper. Considering distributed generation types and storage devices, different control strategies are adopted in controller design for different distributed generation units. The interface comprises a couple of back-to-back VSC converters, and exports variable active power and reactive power in order to maintain the power balance inside the microgrid. Apparently, the interface separates the microgird from the AC grid, prevent harmonic component transmitting from one side to the other side and control the active power precisely flowing between microgrid and main grid. Besides, it's also in charge of reactive power compensation and keeping the microgrid voltage stable. Simulation results can approve its superiority and validity comparing with direct connection.

Passive cyber incivility, with its ambiguity and offensive nature, can have a detrimental impact on employees’ well-being and negative work consequences. To explore passive cyber incivility in depth, we examined its effects through both motivational and affective channels. Over the course of a month, this study conducted a three-wave survey across industries, involving a sample of 306 employees. Results showed that passive cyber incivility has no direct impact on work engagement. Instead, it hampered work engagement through the serial mediation of intrinsic motivation and emotional exhaustion. Overall, this study aims not only to raise awareness of the risks associated with passive cyber incivility but also to contribute to the existing literature on work engagement by investigating the mediating processes that have not been sufficiently studied.

The load of electric vehicle charging station has large random fluctuation. It is of great significance for the security operation of distribution network to study the stochastic fluctuation characteristics of electric vehicle charging station load and establish a suitable probability characteristic model. A versatile distribution is used to fit the marginal distribution of a single-period charging station load. Considering the continuity of the charging behaviors of electric vehicles, the loads at adjacent periods are also correlated. Based on the characteristic of Kendall correlation coefficient, a D-vine Copula structure is constructed by Pair-Copula decomposition method to describe the correlation between loads at different time periods, and the joint probability distribution function is obtained. Scenario generation method based on Pair-Copula takes the correlation between the loads of the charging station at different time periods into account, so that the generated scenarios reflecting daily charging load changes are more typical. The daily load historical data of an actual electric vehicle charging station in 2017 is used to verify the effectiveness of the proposed method. An actual distribution network with electric vehicle charging station is taken as an example to illustrate the impact of different scenarios on the voltage of charging station access bus and the distribution network loss.