Dichlorido{2-[(2,6-dimethyl­phen­yl)imino­meth­yl]pyridine-κ2 N,N′}zinc

In the asymmetric unit of the title compound, [ZnCl2(C14H14N2)], the central ZnII ion is four-coordinated in a distorted tetra­hedral environment by two N atoms of the ligand 2-[(2,6-dimethyl­phen­yl)imino­meth­yl]pyridine and two chloride anions. In the crystal, adjacent mol­ecules are connected through C—H⋯Cl hydrogen bonds between a C—H group of the ligand and a Cl− anion, leading to a chain-like structure along the b direction

Coordinated Damping Control Design for Power System With Multiple Virtual Synchronous Generators Based on Prony Method

With more renewables integrated into power grids, the systems are being transformed into low inertia power electronic dominated systems. In this situation, the virtual synchronous generator (VSG) control strategy was proposed to deal with insufficient inertia challenge caused by the reduction of synchronous generation. However, as the VSG control method emulates the dynamic behavior of traditional synchronous machines, the interaction between multiple VSG controllers and synchronous generators (SGs) may cause low-frequency oscillation similar to that caused by the interaction between multiple SGs. This paper reveals that the system low-frequency oscillatory modes are affected by multiple VSGs. Then Prony analysis is utilized to extract the system mode information which will be subsequently used for VSG controller design, and a decentralized sequential coordinated method is proposed to design the supplementary damping controller (SDC) for multiple VSGs. The system low-frequency oscillation is first analyzed based on a modified two-area system with a linearized state-space model, and a further case study based on a revised New England 10-machine 39-bus system is used to demonstrate the effectiveness of the proposed coordinated method for multiple VSGs

Stability and Persistence of an Avian Influenza Epidemic Model with Impacts of Climate Change

The growing number of reported avian influenza cases has prompted awareness of the importance of research methods to control the spread of the disease. Seasonal variation is one of the important factors that affect the spread of avian influenza. This paper presents a “nonautonomous” model to analyze the transmission dynamics of avian influenza with the effects of climate change. We obtain and discuss the global stability conditions of the disease-free equilibrium; the threshold conditions for persistence, permanence, and extinction of the disease; and the parameters with periodicity for controlling and eliminating the avian influenza