Integrative Smart Grids'' Assessment System
This paper proposes an approach to a comprehensive assessment of smart grids based on a comparative analysis of existing methods, taking into account the changes that need to be considered after the experience gained from the COVID-19 pandemic. The approach provides an accurate set of efficiency indicators for assessing smart grids to account
IDB | Smart grid assessment for Guanaja Island as part of
The objective of this technical cooperation (TC) is to support the government of Honduras (GoH) in planning the Guanaja Green Island Program in order to: (i) evaluate the existing distribution grid infrastructure; (ii) conduct energy demand-side management assessments, including the evaluation of terrestrial and maritime electric mobility options; (iii)
Smart Grids Task Force
Table 1 Requirements of the overall Smart Grid project assessment . 6 The assessment should consider the following two scenarios: Business as Usual (BaU) scenario (without Smart Grids deployment), considering only planned maintenance. This is the reference scenario to assess the impact of the Smart Grid
PowerGrid: Smart Grid Index
The Smart Grid Index (SGI) is a simple and quantifiable framework that measures smartness of power grids globally, in seven key dimensions. The framework assesses proxies of each dimension using publicly available information. The index guides utilities to build smarter grids and deliver better value to customers.
Cost-benefit analysis of Smart Grid projects: Isernia
The assessment of Smart Grid (SG) pilot projects through a Cost-Benefit Analysis is crucial to ensure that Smart Grid and Smart Metering roll-outs are economically reasonable and cost-effective. The key outcome of the (ex-post) analysis of the Isernia pilot project1 is that, for such ambitious Smart Grid projects, a dedicated incentive such as
Evaluation and Assessment of Smart Grid Reliability Using
Various MCDM methods have been used in the literature for studying the smart grid technology and applications. Haddad et al. [] used the analytic hierarchy process (AHP) to evaluate renewable energy sources in Algeria using 13 sub-criteria representing social, environmental, economic, and technical criteria.Social and environmental were found to be
Artificial Intelligence (AI) in relation to environmental life-cycle
With regard to AI and smart grids, a number of studies suggest that AI provides interesting options such as smart-building energy management, secure smart grids, microgrids, autonomous smart-grid management, integration of intermittent renewable energy sources, decentralised-grid management and energy-consumption optimisation.
Smart grids and meters
When paired with smart meters, which measure the energy fed into and consumed from the grid, they can provide real-time information on energy-usage to consumers and suppliers.. Since smart grids can respond to changes in supply and demand, they are well suited to cope with variations in supply from renewable energy sources, helping to integrate more wind and solar, as well as
Impact Assessment and Defense for Smart Grids With FDIA
Cyber-physical security has been becoming an important issue for many critical infrastructures in human society, including electrical power grids. This paper proposes an impact assessment framework for smart grids suffering false data injection attack against smart meters. Firstly, the propagation model of malicious false data codes in smart meter communication
Consequence Verification During Risk Assessments of Smart Grids
This section discusses smart grids, threats and vulnerabilities, and cyber attacks on smart grids and their consequences. 2.1 Smart Grids. In the European context, a smart grid is an electricity grid that intelligently manages the behaviors and activities of all users linked to the grid [].This feature enables a smart grid to deliver power more efficiently than a
Smart Grid Drivers and Technologies by Country, Economies,
Issue 10.0. This paper summarizes work completed for Task 4, Assessment of biennial survey on smart grid motivating drivers and technologies, under the Annex 2 Programme of Work. The objective of Task 4 was to define the motivating drivers for smart grids and analyze the associated, contributing smart grid technologies.
Smart Grid: A Brief Assessment of the Smart Grid Technologies
The smart grid has been supporting in developing nations and built up nowadays to adapt to the bottleneck of sustaining substantial supplies in energy consumption such as industry and substitute
A Multi-Closed-Loop Assessment Mechanism for Development Level of Smart
The research on the single attribute assessment of the power grid has a relatively thorough evaluation model and system, but it restrictedly concentrates on reflecting the development level of a certain aspect of the smart grid, lacks the comprehensive evaluation indicator, and the evaluation results lack objectivity and comprehensiveness
Integrative Smart Grids'' Assessment System
The COVID-19 pandemic has significantly affected the energy sector. The new behavior of industrial and non-commercial consumers changes the energy consumption model. In addition, the constraints associated with the coronavirus crisis have led to environmental effects from declining economic activity. The research is based on evidence from around the world
Empowering Rural Electrification in Honduras: An Integrated
By deploying a "starter grid" system designed to serve specific essential services such as schools, health clinics, and businesses critical to the community''s daily operations, this pilot project can
Assessment of smart grid operation under emergency situations
The ongoing energy transition has affected the concept of distribution networks, which have turned from passive, unidirectional and fuel-based architectures into active and sustainable smart grids [1, 2].This trend has established a research field related to the optimal management of the smart grid''s resources [3, 4], such as Renewable Energy Sources (RES),
Cybersecurity Assessment of Digital Twin in Smart Grids
and strategic recommendations for strengthening the cyber resilience of the smart grids in the face of sophisticated cyber threats. Finally, section5concludes the paper and outlines the possible directions for future research. 2. Related Works The current body of research on cybersecurity risk assessment in smart grids is presented in this section.
Fortifying Smart Grids: A Holistic Assessment Strategy against
Intelligent electronic devices (IEDs) are interconnected via communication networks and play pivotal roles in transmitting grid-related operational data and executing control instructions. In the context of the heightened security challenges within smart grids, IEDs pose significant risks due to inherent hardware and software vulnerabilities, as well as the openness and vulnerability of
Security assessment and improvement of smart grid NIKE
Advanced metering infrastructure (AMI) is a fundamental functional module of Smart Grid that supports mutual communication between customers and electric companies. In order to secure AMI communication, scholars have proposed many key management schemes, some of which suffer from security issues or high costs. Recently, Mohammadali et al.
Using the Smart Grid Maturity Model (SGMM)
The Smart Grid Maturity Model (SGMM) is a management tool that helps utilities plan smart grid implementation, prioritize options, and measure progress. Developed by utilities for utilities, users can either perform a self-assessment (with scoring and phone support to interpret the results) or they can use the SGMM navigation process.
A Look at the World''s First Smart Grid Index | T&D World
The smart grid assessment considered holistic today may not be regarded as comprehensive in the future. Even the assessment methodology of the SGI will need to evolve with time and adopt new criteria to keep up with the developments and adoption of new technologies. For example, some utilities are piloting DERMS technologies.
A comprehensive exploration of IoT-enabled smart grid systems:
1.1 Emerging smart grids. A smart grid represents an improved electrical grid system employing digital communication technology to oversee, assess, manage, and convey information throughout the supply chain from utility providers to consumers in a manner that is more efficient, dependable, and environmentally sustainable [] integrates modern information
Smart grids: A comprehensive survey of challenges, industry
Enter the smart grid (SG), heralding a paradigm shift in electricity delivery. The SG integrates modern telecommunication and sensing technologies to enhance electricity delivery strategies (Blumsack and Fernandez, 2012).Unlike the traditional unidirectional grid, the SG introduces a bidirectional framework, facilitating a bidirectional flow of information and
Course Outline GSOE9141
ASMT3:A literature review of a topic of your choice relevant to Smart Grids. A list of suggested topics will be made available in Week 2 (Presentation 10 marks - Final Report 20 marks ). ASMT4:A comprehensive report on the economic assessment and impact of the Smart Grid-Smart City project based on the modeling available by AusGrid. (25 marks)
Data-driven and privacy-preserving risk assessment method
Here we introduce a data-driven and privacy-preserving risk assessment method that safeguards Power grid operators'' data privacy by integrating deep learning and secure encryption in a federated
Smart Grids
Smart Grid assessment: current state assessment of the smart grid, comparison along the evolution with an initial cost/benefit study, definition of a Smart Grid roadmap POC Roadmap: based on the context studied, we provide a POC roadmap for the DSO, including partner selection, implementation, supervision and recommendations Solution specifications:
Data protection impact assessment for smart grid and smart
The DPIA template is addressed to smart grid operators like distribution system operators, generators, suppliers, metering operators and energy service companies. Since the collection and use of personal data, for instance household consumption or usage data, is one of the key business enablers for smart grid operators, they are very likely to be subject to GDPR
Artificial Intelligence Techniques in Smart Grid: A
The smart grid is enabling the collection of massive amounts of high-dimensional and multi-type data about the electric power grid operations, by integrating advanced metering infrastructure, control technologies, and
Smart Grid: Assessment of the past and present in developed and
This paper aims to study comprehensively the Smart Grid power system by comparing experiences and success stories from around the world. Developed countries, like the United States and those in the European Union, and developing countries, like India and Brazil, have been taken as examples of the current development and state of the Smart Grid concept.
Extended Abstract: Assessing GNSS Vulnerabilities in Smart Grids
Smart Grids (SGs) represent essential components of the energy infrastructure, employing sophisticated communication technologies to facilitate real-time monitoring and management of the electrical grid . More specifically, numerous SG applications, including power-oscillation monitoring, phase-angle monitoring, protection and fault
Artificial Intelligence Techniques in Smart Grid: A Survey
The smart grid is enabling the collection of massive amounts of high-dimensional and multi-type data about the electric power grid operations, by integrating advanced metering infrastructure, control technologies, and communication technologies. However, the traditional modeling, optimization, and control technologies have many limitations in processing the data;