2026· MATEC Web of Conferences· Vol 424, pp. 01014· 0 citations
Abstract
Low-carbon development is a key direction for the world's development today. With the proposal of the dual carbon goals, the power grid is also responding actively. As advanced metering infrastructure can promote demand-side response, achieve two-way information flow, and guide users to use electricity during off-peak hours and fill valleys, advanced metering infrastructure is an important device for the smart grid to achieve low-carbon development. Therefore, this paper provides an overview of the current status of advanced metering infrastructure and the Smart Electricity Meters and phasor measurement units within them through methods such as literature retrieval. It also analyses the challenges faced by Smart Electricity Meters and phasor measurement units in a low-carbon environment, as well as their future optimization directions and development trends. After analysis, it is found that Smart Electricity Meters can now perform demand response based on price and non-intrusive load detection. It is necessary to optimize the accuracy and stability of high-frequency collected data and enhance network security. The phasor measurement unit can collect data at high frequency and in real time and synchronize it to the power grid system. It is necessary to optimize the high precision and low latency of the measurement.
Advanced Metering Infrastructure (AMI) is a key enabler of digital and intelligent power systems, particularly in microgrid environments. However, existing research often addresses AMI from fragmented perspectives, limiting a comprehensive understanding of its role within integrated and data-driven energy systems. This paper presents a structured analysis of AMI based on a bibliometric and thematic review of recent literature, identifying the main research trends, technological drivers, and emerging directions in the field. The results reveal a transition of AMI toward a data-centric platform that supports real-time monitoring, bidirectional energy management, and intelligent decision-making. Key domains include cybersecurity, data analytics, communication systems, and distributed energy integration, while emerging technologies such as artificial intelligence and the Internet of Energy play a critical role in future developments. Finally, the paper outlines key challenges and provides strategic recommendations to support the effective deployment of AMI in microgrids, contributing to the development of resilient and sustainable energy systems.
Juan Camilo Riaño-Rueda, Melisa de Jesús Barrera-Durango, N. Muñoz-Galeano et al.· Electricity· 0 citations
The goal of the study presented in this article is to investigate all current issues related to the proper deployment of load forecasting (LF) techniques in smart grids (SGs). The latter concept has recently emerged as a potential solution to the global energy problem as well as to the ever-increasing and diverse consumer demands. To this end, more flexible dispersed production units are involved, mainly based on renewable energy sources (RESs). Another key novelty of SGs is their ability to gather information directly from consumers and production units in real time, thus facilitating optimum network planning and recovery as well as minimization of outage probability. Hence, it is important to use appropriate advanced infrastructure, which, in combination with modern telecommunication networks, will enable the full exploitation of SGs. In this context, to make the electricity system more efficient, avoid voltage and frequency imbalance issues and implement optimal production and consumption planning, LF is a vital process and plays a key role in the management of future electricity systems. Therefore, recent state-of-the art approaches in LF methods are also presented and discussed. In the same context, current limitations and proposals for future work are identified as well.
E. Tsampasis, Christos Pergamalis, Mario Sulokoka et al.· Telecom· 0 citations
Smart energy meters are widely deployed electronic terminals. Under large-scale deployment and long-term operation, their life cycle carbon emissions can become significant. Based on the life cycle assessment (LCA) framework, this review critically examines the life cycle carbon-emission characteristics and mitigation pathways of smart energy meters. Particular attention is given to system boundaries, data requirements, stage-specific hotspots, and cross-stage trade-offs. Representative studies indicate that use-stage electricity can account for approximately 70.1–88.5% oflife cyclee GWP. However, the dominant stage varies with electricity mix, service life, product configuration, and assessment boundary. Accordingly, mitigation priorities should include reducing operating power and communication demand, lowering the embodied carbon of printed circuit boards (PCBs), printed circuit board assemblies (PCBAs), and key electronic components, extending reliable service life, and improving end-of-life recovery. This review also distinguishes direct meter-level emissions from indirect system-level benefits. Key future needs include standardized accounting rules, component-level carbon data, anlife cyclele-based mitigation assessment.
Bo Miao, Shuzhen Li, Rui Liu et al.· Processes· 0 citations
This research addresses a significant challenge in housing societies: the inability of conventional meters to differentiate between electricity consumption from the main grid and local diesel generators, resulting in inaccurate billing. Focusing on the housing society at the University of Gujrat, Authors developed an intelligent energy meter capable of recording power usage from both sources separately. Utilizing Arduino technology, the smart meter features inputs for local generators and main grid supply. A straightforward algorithm monitors power usage through current transformers (CTs) and measures voltage levels via potential transformers (PTs). The Arduino UNO microcontroller processes the data, distinguishing energy sources and displaying real-time consumption on an LCD screen, ensuring seamless integration of hardware and software components. Results demonstrate that the intelligent energy meter significantly enhances precision in monitoring power usage, facilitating accurate billing based on actual consumption. This research paper represented a transformative solution in energy management, addressing billing inefficiencies and promoting efficient energy utilization in residential and industrial zones. Future enhancements may include remote data communication, a user-friendly mobile application, and the implementation of advanced tariff plans.
Suhair Subhan, Afzaal Manzoor, Muhammad Wasif Akhtar et al.· International Journal of Ene...· 0 citations
The Kingdom’s electricity distribution networks are moving into a crucial phase of modernisation as the operational strain on low- and medium-voltage assets increases due to growth in renewable generation, industrial electrification, digital service expectations and urban development. Switchgear, ring main units, feeders, transformers and protection devices are still key to service continuity, but many outage minutes are still caused by delayed fault location, limited asset visibility, manual switching, ageing insulation, thermal deterioration and fragmented maintenance information. The review discusses the role of smart grid automation in LV/MV switchgear and power distribution systems in reducing the downtime through the integration of condition monitoring, intelligent electronic devices, advanced distribution management systems, fault location isolation and service restoration, communications, cybersecurity and predictive maintenance. A structured narrative review method is adopted and literature, standards-oriented guidance and Saudi electricity sector developments published during 2020 to 2025 are synthesised. The review suggests a layered automation framework that integrates field sensing, edge analytics, interoperable communications, automated switching and executive reliability dashboards. The paper argues that reducing downtime is not about digital switchgear, but about coordinated governance across asset health, feeder topology, restoration logic, workforce competence and cybersecure data operations. Automation should be focused on high-impact feeders in Saudi LV/MV networks, for industrial cities, healthcare loads, airports, water facilities, metro systems, and fast-growing residential areas. The study finds that a phased modernisation roadmap can improve SAIDI, SAIFI, safety, asset utilisation and renewable-readiness while supporting Vision 2030 goals for reliable, efficient and sustainable electricity infrastructure.
Inayathulla Shareef· Veredas do Direito· 0 citations
Under the background of the energy transformation promoted by “double carbon”, the smart grid faces two major problems: renewable energy grid connection fluctuates large, and the load peak and valley difference are large.This paper takes the integration of smart grid and V2G technology as the research core, first sorts out the core concepts, technical characteristics and fusion mechanism of the two, and clarifies the V2G The working principle of the technology and the synergy with the smart grid; then from the three dimensions of power grid load adjustment, distributed energy storage system construction, electric vehicle popularization and energy structure transformation, V2G is analyzed The core development potential of the technology; then analyze the challenges of the incomplete standard system faced by its large-scale landing, imbalance of investment income, and lack of enthusiasm for participating in multiple parties. Studies show that V2G technology can effectively enhance grid resilience and accommodate renewable energy, making it highly valuable for smart grids.This paper constructs a theoretical framework for the deep integration of V2G technology and smart grid, provides practical guidance for the industrial application of V2G technology, and helps the realization of energy transformation and “dual carbon” goals.
Yuhan Jiang· MATEC Web of Conferences· 0 citations
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