This chapter focuses on the small signal stability assessment of DC microgrids. Dynamical models of bipolar DC microgrids are introduced. A Multi-Input Multi-Output (MIMO) method is developed to investigate the mutual interactions and small signal stability of bipolar DC microgrids. Singular value decomposition (SVD) is introduced to discover the frequencies of unstable poles.

This chapter elaborates some initial efforts in establishing a tractable method, namely Formal Analysis (FA), for assessing the stability of networked microgrids under uncertainties from heterogeneous sources including DERs. Both centralized and distributed formal methods are established for computing the bounds of all possible trajectories and estimating the stability margin for the entire networked microgrid system.

The chapter introduces smart programmable microgrids (SPMs). The vision is to virtualize microgrid functions, making them software-defined and hardware-independent, so that converting DERs to community microgrids becomes affordable, autonomic, and secure. The development of SPM is expected to lead to groundbreaking, replicable technologies that could transform today's community power infrastructures into tomorrow's flexible services toward self-configuration, self-healing, self-optimizing, and self-protection.

This chapter introduces a powerful online distributed and asynchronous active fault management (DA-AFM) tool which proactively manages the fault currents by controlling the power electronic interfaces and eliminates the barriers against networked microgrids resilience and the ultrareliable operations of DERs/microgrids. Upon fault occurrence, DA-AFM is able to maintain the total fault current unchanged to avoid detrimental impact on the power grid, to eliminate the damaging power ripples for inverters in DERs/microgrids, and to ensure that the power flow of each individual microgrid is identical before and after fault to avoid loss of loads and maintain networked microgrid stability.

This chapter covers basics on microgrid operation, distributed energy resources modeling, microgrid control, and virtual synchronous generator. The main topics are hierarchical control principle, droop control, and other advanced controls.

This section lists all major events that are in some way related to Automotive Ethernet. The idea is to give the readers a perspective on the development predecessing and in parallel to the introduction of Automotive Ethernet.

This chapter gives a personal outlook on how the authors see the changes, chances, and challenges in the automotive industry in relation to the introduction of Automotive Ethernet.

This chapter enlightens the framework that allowed Ethernet to be introduced as a new in-vehicle networking technology. It explains the early use cases as well as the infrastructure that was set up in order to support the proliferation of Automotive Ethernet in the automotive industry.

Before adopting Automotive Ethernet, the automotive industry had developed and used a number of in-vehicle networking technologies. This chapter explains why and how in-vehicle networking was done before the advent of Automotive Ethernet. Furthermore, it explains the eco-system the automotive industry is used to working in when adopting new technologies.