DB&A: An Open Source Web Service for Meter Data Management

With the increasing number of initiatives dealing with storing meter data, systems that perform Meter Data Management (MDM) constitute a critical component for realising the potential benefits of the smart grid. However, most of the MDM systems designed today are generalised to such an extent that they do not consider the relational structure of electrical system. Furthermore, these systems do often not restrict themselves to specific data latency requirements. To address this issue, this paper presents the Database & Analytics (DB&A), an open reference implementation for a MDM system that is instantiated as a web service. Its design is based on a set of design goals, an explicitly addressed data latency scope and five real-world scenarios. We present an abstract model of the metering hierarchy that allows MDM systems to be used as compositional services, forming a service tree. Moreover, we provide implementation details about analytic functions to support the service tree. The DB&A is evaluated on a cloud and embedded platform using a subset of data constructed from a case study that includes 8 months of real data. The results show that the DB&A complies with the boundaries of the defined data latency scope for the cloud and embedded platform.

[1]  Roy Fielding,et al.  Architectural Styles and the Design of Network-based Software Architectures"; Doctoral dissertation , 2000 .

[2]  Mathias Uslar,et al.  Standardization in Smart Grids , 2013 .

[3]  Sheng Huang,et al.  TSAaaS: Time Series Analytics as a Service on IoT , 2014, 2014 IEEE International Conference on Web Services.

[4]  Sherali Zeadally,et al.  Data Quality Challenges in Cyber-Physical Systems , 2015, JDIQ.

[5]  Pierluigi Siano,et al.  A Review of Agent and Service-Oriented Concepts Applied to Intelligent Energy Systems , 2014, IEEE Transactions on Industrial Informatics.

[6]  Vehbi C. Gungor,et al.  Cloud Computing for Smart Grid applications , 2014, Comput. Networks.

[7]  Vlad Trifa,et al.  Web Messaging for Open and Scalable Distributed Sensing Applications , 2010, ICWE.

[8]  Marko Becker,et al.  Service Oriented Architecture Concepts Technology And Design , 2016 .

[9]  Rune Hylsberg Jacobsen,et al.  Consumer-Centric and Service-Oriented Architecture for the Envisioned Energy Internet , 2015, 2015 Euromicro Conference on Digital System Design.

[10]  Nada Golmie,et al.  NIST Framework and Roadmap for Smart Grid Interoperability Standards, Release 3.0 , 2014 .

[11]  Enrico Tronci,et al.  A Glimpse of SmartHG Project Test-bed and Communication Infrastructure , 2015, 2015 Euromicro Conference on Digital System Design.

[12]  David J. DeWitt,et al.  Can the Elephants Handle the NoSQL Onslaught? , 2012, Proc. VLDB Endow..

[13]  Srikrishna Prasad,et al.  Application of polyglot persistence to enhance performance of the energy data management systems , 2014, 2014 International Conference on Advances in Electronics Computers and Communications.

[14]  Radziah Mohamad,et al.  Metrics for evaluating the quality of service-oriented design , 2014, 2014 8th. Malaysian Software Engineering Conference (MySEC).

[15]  Zhao Li,et al.  Speeding up processing data from millions of smart meters , 2014, ICPE.

[16]  Manish Marwah,et al.  IoTAbench: an Internet of Things Analytics Benchmark , 2015, ICPE.

[17]  Shenxing Shi,et al.  SKM: Scalable Key Management for Advanced Metering Infrastructure in Smart Grids , 2014, IEEE Transactions on Industrial Electronics.

[18]  Youssef Bassil,et al.  A Comparative Study on the Performance of the Top DBMS Systems , 2012, ArXiv.

[19]  Anand Kulkarni,et al.  Scalable real time data management for smart grid , 2011, Middleware '11.

[20]  Luis Lino Ferreira,et al.  The ENCOURAGE ICT architecture for heterogeneous smart grids , 2013, Eurocon 2013.

[21]  Michel Riveill,et al.  An Architecture to Support the Collection of Big Data in the Internet of Things , 2014, 2014 IEEE World Congress on Services.

[22]  Rayman Preet Singh,et al.  A cloud-based consumer-centric architecture for energy data analytics , 2013, e-Energy '13.

[23]  Zeyar Aung Database Systems for the Smart Grid , 2013 .