Abstract—In a fully evolved smart grid advanced metering infrastructure network, grid operators, energy suppliers and other third-party operators can be granted access to end users consumption data for purposes such as billing and other grid control operations. This will help to optimize smart grid operations and maximize energy consumer’s benefits. However, uncontrolled or unauthorized access to consumption data may put energy consumer’s privacy at risk. This is because end user’s energy consumption data can be profiled when collected at a high frequency and then subsequently used to make reasonable inferences about the private life of energy consumers. Aggregation of energy consumption data has been a popular research approach towards preserving the privacy of energy consumers. In this paper, we present a survey of different schemes using data aggregation approach for preserving the privacy of energy consumers in a smart grid AMI network. At the end, open research issues are highlighted and discussed.

Index Terms—Advanced Metering Infrastructure (AMI), data aggregation, Smart Grid (SG), Smart Meter (SM). privacy preserving data aggregation protocols.

Cite: R. C. Diovu and J. T. Agee, "Overview of Data Aggregation Schemes in a Smart Grid AMI Network," Journal of Communications, vol. 14, no. 9, pp. 787-801, 2019. Doi: 10.12720/jcm.14.9.787-801.