Smart-Grid Topology Identification Using Sparse Recovery
This paper develops an efficient solution for power network topology identification and monitoring activities in SG by exploiting the concentration of nonzero elements in the corresponding sparse vectors around the main diagonal in the nodal admittance or structure matrix of the PN. Smart grid (SG) technology reshapes the traditional power grid into a
Smart Grid and Power System Topologies
Issue on Smart Grid and Power System Topologies featuring "How DERs may change grid topology and affect system status and performance", grid topology. boloorchi. topology. June 2020. More Like This. 01 Nov 2023. November - General
Estimation of smart grid topology using SCADA measurements
An intelligent cyber-criminal is capable to construct the smart grid system topology blindly by utilizing information analytic grounded on the signals used for measurement [12] or the tariff data
Power grid surveillance: Topology change detection system using
This paper proposes an efficient channel impulse response (CIR)-based technique to detect topology changes in the power grid. The features of the proposed approach include the following aspects: (i) it is a software-only solution, not requiring any intervention on the current smart grid architecture; (ii) topology changes can be detected via a simple distributed
Online learning for robust voltage control under uncertain grid topology
Please cite our papers as follows, or use the BibTeX entries below. C. Yeh, J. Yu, Y. Shi, and A. Wierman, "Robust online voltage control with an unknown grid topology," in Proceedings of the Thirteenth ACM International Conference on Future Energy Systems (e-Energy ''22), Association for Computing Machinery, Jun. 2022, pp. 240–250, ISBN: 9781450393973.
A Comprehensive Review on Smart Grids: Challenges and
Classification: (a) Smart Grid Network Topologies, (b) Smart Grid Technologies, and (c) Encryption used in Smart Grids. Table 2 shows the articles that can be classified into Smart Grid Technology. From this table it can be noted that most of the algorithms are categorized into the Internet of Things or Industrial Internet of Things.
Overview of smart grid implementation: Frameworks, impact,
The smart grid also enables two-way power flow, and enhanced metering infrastructure capable of self-healing, resilient to attacks, and can forecast future uncertainties. This paper surveys various smart grid frameworks, social, economic, and environmental impacts, energy trading, and integration of renewable energy sources over the years 2015
AMI project of Cyprus: first step towards smart grids | 8th
Smart meters that will fulfil open protocol standards for interoperability can form the basis for a real time gateway to customers in line with the system automation requirements. Technologies
Online learning for robust voltage control under
Please cite our papers as follows, or use the BibTeX entries below. C. Yeh, J. Yu, Y. Shi, and A. Wierman, "Robust online voltage control with an unknown grid topology," in Proceedings of the Thirteenth ACM International Conference on
Lecture 2: Smart Grid Communications and measurement
George Konstantinou, University of Cyprus 01/08/2020 Nicosia, Cyprus Lecture 2: Smart Grid Communications domains within the smart grid. NAN topology. 2.1.2 Network Topologies: NAN • Domains consist of groups of buildings, systems, individuals, or devices which have similar
Efficient neural network architecture for topology identification in
Identifying arbitrary power grid topologies in real time based on measurements in the grid is studied. A learning based approach is developed: binary classifiers are trained to approximate the maximum a-posteriori probability (MAP) detectors that each identifies the status of a distinct line. An efficient neural network architecture in which features are shared for inferences of all line
[PDF] On topology attack of a smart grid | Semantic Scholar
Cyber attacks on a smart grid aiming at misleading the control center with incorrect topology information are considered, and an undetectable attack that requires the modification of only a few meter data is proposed. Cyber attacks on a smart grid aiming at misleading the control center with incorrect topology information are considered. In such
On Topology Attack of a Smart Grid: Undetectable Attacks and
Covert data attacks on the network topology of a smart grid is considered. In a so-called man-in-the-middle attack, an adversary alters data from certain meters and network switches to mislead the control center with an incorrect network topology while avoiding detections by the control center. A necessary and sufficient condition for the
Smart grids and photovoltaic integration-analysis of residential
This is a case study of residential photovoltaic grid connected system in North Cyprus and its integration with the local utility as part of transformation from old grid systems to modern
Compressive Sensing-Based Topology Identification for Smart
Smart grid (SG) technology transforms the traditional power grid from a single-layer physical system to a cyber–physical network that includes a second layer of information. Collecting, transferring, and analyzing the huge amount of data that can be captured from different parameters in the network, together with the uncertainty that is caused by the distributed
Smart GEMS – Energy Department of the Cyprus Institute
The main objective of the project is to fully analyze all aspects of smart grids targeting in the improvement of reliability, mitigation of security risks, increase load shaping and energy
Resilient Temporal GCN for Smart Grid State Estimation
topology attack detection [20], [35] and some focused on developing defense against topology attacks [23]–[25] and mitigating the impact of topology noise in GNNs [26]–[28]. In power systems, the works presented in [15], [16], [29]– [32] studied the effects of topology noise and attacks on various functions, such as SE and cyber stress
The topology of the 1960s grid was a result of the strong economies of scale: large coal-, gas- and oil-fired power stations in the 1 GW (1000 MW) to 3 GW scale are still found to be cost-effective, due to efficiency-boosting features that can be cost-effective only when the stations become very large. Pacific Northwest Smart Grid
On Topology Attack of a Smart Grid
On Topology Attack of a Smart Grid Jinsub Kim and Lang Tong School of Electrical and Computer Engineering Cornell University, Ithaca, NY 14853. Email: {jk752, lt35}@cornell Abstract—Cyber attacks on a smart grid aiming at mislead-ing the control center with incorrect topology information are considered.
Resilient Temporal GCN for Smart Grid State Estimation Under Topology
Resilient Temporal GCN for Smart Grid State Estimation Under Topology Inaccuracies In order to make the model resilient to topology uncertainties, modifications in the TGCN model are proposed to incorporate a knowledge graph, generated based on the measurement data. This knowledge graph supports the assumed uncertain system graph.
Learning Distribution Grid Topologies: A Tutorial
like) topology, which can be modified by changing breaker statuses on available lines [54]. In recent years, the growth of behind-the-meter distributed energy resources (DERs) and smart loads (e.g., air-conditioners, storage devices, electric vehicles) have brought distribution grids to the forefront of smart grid advancement [85].
Coordinated Topology Attacks in Smart Grid Using Deep
The coordinated topology attacks in smart grid, which combine a physical topology attack and a cyber-topology attack, are investigated and a deep-reinforcement-learning-based approach is proposed to determine the minimal attack resources. In this article, we investigate the coordinated topology attacks in smart grid, which combine a physical topology
Adaptable Smart Distribution Grid Topology Generation for
Adaptable Smart Distribution Grid Topology Generation for Enhanced Resilience Authors : Nataša Gajić, Stephen Dirk Bjørn Wolthusen Authors Info & Claims Critical Information Infrastructures Security: 18th International Conference, CRITIS 2023, Helsinki Region, Finland, September 13–15, 2023, Revised Selected Papers
Online Energy Price Matrix Factorization for Power Grid
IEEE TRANS. ON SMART GRID (ACCEPTED AUGUST 12, 2015) 1 Online Energy Price Matrix Factorization for Power Grid Topology Tracking Vassilis Kekatos, Member, IEEE, Georgios B. Giannakis, Fellow, IEEE, and Ross Baldick, Fellow, IEEE Abstract—Grid security and open markets are two major smart grid goals. Transparency of market data facilitates a
(PDF) Information Technology, Artificial Intelligence and Machine
Information Technology, Artificial Intelligence and Machine Learning in Smart Grid – Performance Comparison between Topology Identification Methodology and Neural Network Identification
Adaptable Smart Distribution Grid Topology Generation for
Two major approaches to topology modelling are dominant. The first relies on test networks of electrical networks. In [], the authors list many different types of models of distribution grid such as IEEE Test Feeder or CIGRE Benchmark models as well as many other ones, which were used in this work to validate the ability to create equivalent power network
IEEE TRANSACTIONS ON SMART GRID (TO APPEAR) 1
like) topology, which can be modified by changing breaker statuses on available lines [54]. In recent years, the growth of behind-the-meter distributed energy resources (DERs) and smart loads (e.g., air-conditioners, storage devices, electric vehicles) have brought distribution grids to the forefront of smart grid advancement [85].
From Compressive Sensing to Machine Learning in Smart Grids
Figure 1. Traditional Grid VS. Smart Grid [4]. The differences between them are many, but there are key differences that can be noted and contrasted between the two technologies. [3] Technology: Traditional power grids are electromechanically operated, while smart grids are digital. This means that the smart grid has more communication between
Unbalanced multi-phase distribution grid topology estimation and
For distribution grid topology identification, many methods have been proposed in recent years. For example, in [], the correct topology is searched from a set of possible radial networks.Given the line parameters, Cavraro et al. [] and Sharon et al. [] propose maximum-likelihood methods to select the operational distribution grid topology.Bolognani et al. [], Peppanen et al. [], and Liao
This report provides information about the ongoing Smart Grid projects in Cyprus and a qualitative assessment of their replicability and scalability is presented, along with a mapping of related
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