In many areas of the United States, the only way a utility knows there’s an outage is when a customer calls to report it. A challenge faced by smart grid systems is to provide highly reliable transmission to improve the energy efficiency of the system. If a proper command couldn’t be send in the event of an emergency it could result in disastrous consequences. As a result, quantitative reliability evaluation of information infrastructures should be addressed.
A smart grid is a modernized electrical grid that uses analogues or digital information and communications technology to gather and act on information, such as information about the behaviors of suppliers and consumers, in an automated fashion to improve the efficiency, reliability, economics, and sustainability of the production and distribution of electricity.
To provide the reliability of data communication of smart grids we are proposing wireless communication infrastructure. In this paper we will discuss pros and cons along with the applicability of wired, wireless and hybrid communication systems for the smart grid application.
For reliability we have to optimize both power consumption and power supply. Smart grid works on the mechanism of data communication infrastructure. Smart grids has one of the most important feature meter data management system which is designed to collect exchange and process the meter data for optimization of power consumption and supply.
Niyato, Dong, Wang, & Hossain, (2013) suggested Data communication infrastructure which is basically composed of home area network and neighborhood area network that are connected to each other in a hierarchal manner so this communication infrastructure has all the information about supply and consumption. This information is further used for the reliability and optimization of supply and consumption.
The main concern of Niyato et al.’s (2013) was on the load balancing and to optimize its power consumption, scheduling and a model has been used called constrained Markov decision process. The model applied there was connectivity between the data communication infrastructure and meter data management system servers and hence go for scheduling decision. To optimize the power supply; a model called stochastic programming model has been used. The model works on the principle of information analysis, if it has all the information in case of connectivity or availability of data communication infrastructure than it can achieve the minimum cost for the operation of utilities. Also some cost reduction methods has been used like if neighborhood area network gateways is made redundant than cost can be reduced. The only drawback of this model is that if there is no connectivity between home area network and neighborhood area network gateways from deferrable load to meter data management system that means there is no optimal scheduling of deferrable load that can result in higher power consumption. For power supply optimization if there...