LoCoVolt: Distributed Detection of Broken Meters in Smart Grids through Stream Processing
Paper in proceedings, 2018

Smart Grids and Advanced Metering Infrastructures are rapidly replacing traditional energy grids.
The cumulative computational power of their IT devices, which can be leveraged to continuously monitor the state of the grid, is nonetheless vastly underused.

This paper provides evidence of the potential of streaming analysis run at smart grid devices.
We propose a structural component, which we name \name{} (Local Comparison of Voltages), that is able to detect in a distributed fashion malfunctioning smart meters, which report erroneous information about the power quality. This is achieved by comparing the voltage readings of meters that, because of their proximity in the network, are expected to report readings following similar trends. Having this information can allow utilities to react promptly and thus increase timeliness, quality and safety of their services to society and, implicitly, their business value.
As we show, based on our implementation on Apache Flink and the evaluation conducted with resource-constrained hardware (i.e., with capacity similar to that of hardware in smart grids) and data from a real-world network, the streaming paradigm can deliver efficient and effective monitoring tools and thus achieve the desired goals with almost no additional computational cost.

Smart Meter

Data Streaming

Advanced Metering Infrastructure

Author

Joris Van Rooij

Chalmers, Computer Science and Engineering (Chalmers), Networks and Systems (Chalmers)

Vincenzo Massimiliano Gulisano

Chalmers, Computer Science and Engineering (Chalmers), Networks and Systems (Chalmers)

Marina Papatriantafilou

Chalmers, Computer Science and Engineering (Chalmers), Networks and Systems (Chalmers)

DEBS '18 Proceedings of the 12th ACM International Conference on Distributed and Event-based Systems

171-182

12th ACM International Conference on Distributed and Event-based Systems
Hamilton, New Zealand,

STAMINA - GE

Göteborg Energi, Foundation for Research and Developmen, 2017-01-01 -- 2021-12-31.

STAMINA - WASP

Wallenberg AI, Autonomous Systems and Software Program, 2016-04-04 -- 2020-04-06.

Subject Categories

Computer Engineering

Communication Systems

Computer Systems

Areas of Advance

Energy

DOI

10.1145/3210284.3210298

More information

Latest update

1/15/2019