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Review
. 2023 Feb 13;23(4):2118.
doi: 10.3390/s23042118.

Control and Optimisation of Power Grids Using Smart Meter Data: A Review

Zhiyi Chen  1 , Ali Moradi Amani  1 , Xinghuo Yu  1 , Mahdi Jalili  1
Affiliations
Review

Control and Optimisation of Power Grids Using Smart Meter Data: A Review

Zhiyi Chen et al. Sensors (Basel). .

Abstract

This paper provides a comprehensive review of the applications of smart meters in the control and optimisation of power grids to support a smooth energy transition towards the renewable energy future. The smart grids become more complicated due to the presence of small-scale low inertia generators and the implementation of electric vehicles (EVs), which are mainly based on intermittent and variable renewable energy resources. Optimal and reliable operation of this environment using conventional model-based approaches is very difficult. Advancements in measurement and communication technologies have brought the opportunity of collecting temporal or real-time data from prosumers through Advanced Metering Infrastructure (AMI). Smart metering brings the potential of applying data-driven algorithms for different power system operations and planning services, such as infrastructure sizing and upgrade and generation forecasting. It can also be used for demand-side management, especially in the presence of new technologies such as EVs, 5G/6G networks and cloud computing. These algorithms face privacy-preserving and cybersecurity challenges that need to be well addressed. This article surveys the state-of-the-art of each of these topics, reviewing applications, challenges and opportunities of using smart meters to address them. It also stipulates the challenges that smart grids present to smart meters and the benefits that smart meters can bring to smart grids. Furthermore, the paper is concluded with some expected future directions and potential research questions for smart meters, smart grids and their interplay.

Keywords: control; optimisation; smart grids; smart meters.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
The relationship between smart grid and smart meter.
Figure 2
Figure 2
The smart grid framework [26,27].
Figure 3
Figure 3
The conceptual model of the smart grid [28].
Figure 4
Figure 4
Smart metering configuration and functionalities.
Figure 5
Figure 5
Applications from smart grid and smart meter perspectives.
Figure 6
Figure 6
Demand response configuration.
Figure 7
Figure 7
Scheduling and forecasting.
Figure 8
Figure 8
Features of the smart grid.
Figure 9
Figure 9
Essential factors for automatic metering.
Figure 10
Figure 10
Aspects that smart meter data analysis is dedicated to improve.
Figure 11
Figure 11
Consumer profiling.
See this image and copyright information in PMC

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