Analysing Smart Metering Systems from a Consumer Perspective

Abstract

Many countries are deploying smart meters and Advanced Metering Infrastructure systems as part of demand management and grid modernisation efforts. Several of these projects are facing consumer resistance. The advertised benefits to the consumer appear mainly monetary but detailed analysis shows that financial benefits are hard to realise since the fixed services charges are high. Additionally, the data collected from smart meters have security and privacy implications for the consumer. These projects failed to consider end-users as an important stakeholder group during planning stages resulting in the design and roll-out of expensive systems, which do not demonstrate clear consumer benefits.

The overall goal of the research reported in this thesis was to improve the smart metering system to deliver consumer benefits that increase confidence and acceptance of these projects. The smart metering system was examined from an end-user perspective for realistic insights into consumer concerns. Processes from Design Science Research methodology were utilised to conduct this research due to the utilitarian nature of the objective.

Consumer segmentation was central to the proposed measures. Initially, a consumer-friendly risk analysis framework was devised, and appropriate requirement elicitation techniques were identified. Control options for smart meter data transfer and storage were explored. Various scenarios were analysed to determine consumer-friendly features in the smart metering system, including control options for smart meter data transfer and storage. Proposed functionalities (billing choices, feedback information and specific configurations to match the needs of different user segments) were studied using the Australian smart metering system.

Smart meters vary in capabilities depending on the manufacturer, mode and place of deployment. The research showed that features proposed in this thesis are implementable in smart meters, by examining their applicability to those used in Victoria (Australia). This study demonstrated that intelligent systems for demand and distribution-side management can be built without the use of detailed consumption data from the consumer. Many issues related to smart meter data could be avoided by distributing intelligent metering devices across the network. A check-list was generated to guide project proponents to achieve a consumer-friendly outcome.

This research establishes that by applying well-established theories during the planning process, in particular, requirement elicitation and risk analysis, consumer support can be gained leading to the deployment of user-friendly and sustainable systems. The check-list generated will help the industry to appropriately plan and develop systems that can avoid opposition and even stimulate adoption. Options proposed provide choices for different consumer segments without affecting major operations such as billing. On evaluation, it has been identified that the proposed measures do not affect the quality attributes of the system.

Since the proposals presented in this thesis were based on smart meters used in Victoria (Australia), smart meters used in other areas may require upgrades or revisions to support these functions. The scope of this research is limited to identifying improvements in the system that will benefit the residential consumer and does not extend to the analysis of the effects of these improvements on the profitability of the investors.