Abstract
In smart grid communication implementation, network traffic pattern is one of the main factors that affect the system's performance. Examining different traffic patterns in smart grid is therefore crucial when analyzing the network performance. Due to the heterogeneous and hybrid nature of smart grid, the type of traffic distribution in the network is still unknown. The traffic that popularly used for simulation and analysis no longer reflects the real traffic in a multi-technology and bi-directional communication system. Hence, in this study, a single-board computer is implemented as a traffic generator which can generate network traffic similar to those generated by various applications in the fully operational smart grid. By placing in a strategic and appropriate position, a collection of traffic generators allow network administrators to investigate and test the effect of heavy traffic on performance of smart grid communication system.
Highlights
Power is generated at the power stations, transported over the transmission system and delivered to the end users via the distribution network
Once the loadable kernel modules have been stored in the compact flash card, a fixed IP address is assigned to the Soekris board and the traffic generator has been implemented successfully
This study introduces a single-board-computerbased Soekris Net4501 as a traffic generator to investigate the traffic arising in smart grid communication network
Summary
Power is generated at the power stations, transported over the transmission system and delivered to the end users via the distribution network. Smart grid is an electricity distribution system where information and communications technologies are added to the existing power network. It helps deliver electricity more efficiently and reliably, for example re-routing power, shifting loads, managing outages on the network, maximizing the electricity distributed, predicting failures and reducing maintenance cost (Nadim et al, 2010). It helps them to carry more electricity through their existing infrastructure without digging up the street to lay new cables and respond quickly to the changes in consumer demand. It provides customers with the real time information they need. They can save power by running their home appliances when the power is at its cheapest or shutdown when peaks occur
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