Leveraging the next-generation power grid: Data sharing and associated partnerships

Abstract

Data delivery in the power grid today is, for the most part, hard-coded, tedious to implement and change, and does not provide any real end-to-end guarantees. Applications have started to emerge that require real-time data delivery in order to provide a wide-area assessment of the health of the power grid. This paper presents two novel communication infrastructures that facilitate the delivery of power data to intended recipients, each based on a different communication paradigm. The necessity of forming and managing trusted partnerships in either framework is further discussed.

multiFLEX: Flexible Multi-utility, Multi-service Smart Metering Architecture for Energy Vectors with Active Prosumers

“…The GridStat middleware (Tomsovic et al, 2005;Hauser et al, 2005;Gjermundrod et al, 2009) is another solution for enabling the communication across the devices in power system. However, GridStat works with its own closed and dedicated network infrastructure (Germanus et al, 2010), which is incompatible with Internet, so new routers must be deployed. Villa et al present the CoSGrid middleware for measuring and controlling the electrical power of heterogeneous Smart Grid infrastructures (Villa et al, 2011).…”

Distributed Software Infrastructure for General Purpose Services in Smart Grid

“…Moreover, it provides support to its application for QoS (Quality of Service), which is the ability to provide, in the communication, different priority to the data flows. However, the middleware works with its own closed and dedicated network infrastructure [24], which is incompatible with the existing IP-based infrastructures (Internet), so new routers and devices must be deployed.…”

The role of communication systems in smart grids: Architectures, technical solutions and research challenges

“…For instance, off-line trend analysis does not impose tight delay constraints, while control and protection functions need real-time transmission of data (and commands). Therefore, scalable data management systems specialized for smart grids are needed to share this large amount of information, and to timely deliver relevant data to applications that really need it [231].…”

“…In general, DHT-based overlay networks can ensure a very efficient retrieval of single data items due to the use of key-based routing approaches [107]. Therefore, other papers have proposed to use DHTs for supporting large-scale data sharing and decentralized data repositories [231,239]. An alternative approach is proposed in [240], in which a middleware, called SeDAX, is developed to enable secure, large-scale data sharing to support both transaction and query-based communications.…”