A graph theory based energy routing algorithm in Energy Local Area Network (e-LAN)

The energy internet concept has been considered as a new development stage of the Smart Grid, which aims to increase the energy transmission efficiency and optimise the energy dispatching in time and space. Energy router is a core device in the energy internet and it connects all the devices together into a net structure and manages power flows among them. The research work presented in this paper described the energy router’s structure and function expectations from the network perspective, and improved the existing energy router design. Open-shortest-path first (OSPF) protocol and virtual circuit switching mode are referenced from the Internet in the energy local area network (e-LAN) design. This paper proposed a design of an energy routing algorithm based on graph theory in an e-LAN. A lowest-cost routing selection algorithm is designed according to the features of power transmission, and a source selection and routing design algorithm is proposed for very heavy load conditions. Both algorithms have been verified by case analyses

Reliability analysis and redundancy design of smart grid wireless communications system for demand side management

To ensure efficient, continuous, and secure operation of the next generation smart power grid, the reliability of its data communications system, and in particular, the wireless communications system will be crucial. In this article, we present a reliability analysis of the wireless communications system in the smart grid to support demand-side management (DSM). The availability performance, which is the probability that the wireless connectivity between a smart meter to the meter data-management system (MDMS) is available, is obtained given the random failure of the system devices. This availability measure is then used to calculate the cost of power-demand estimation error and damage of power distribution equipment if its failure cannot be reported. At this end, redundancy design approaches are presented to minimize the cost of failure as well as the cost of deployment of the wireless communications system in the smart grid.Accepted versio