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
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
Further, UNIZG-FER has finished the Smart Grid Analysis of the selected region in Croatia, namely Primorsko-Goranska County and Istria County. The analysis has shown the status, as well as potential for smart grid
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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].
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.
Croatian distribution operator HEP-Operator distribucijskog sustava (HEP ODS) has kicked off an HRK177 million ($27.5 million) smart grid pilot. The project to be completed by the end of 2022 is focussed on the
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
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
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].
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
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.
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
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
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
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
The SMART-DS data sets are available through the Open Energy Data Initiative as well as the GRID DATA program data repositories: BetterGrids and DR POWER. SMART-DS contributed to the development of the Distribution Transformation Tool (DiTTo), which enables programmatic development of distribution models as well as translations between data
A Q-learning-based approach to identify critical attack sequences with consideration of physical system behaviors is proposed to identify new smart grid vulnerability that can be exploited by attacks on the network topology. Recent studies on sequential attack schemes revealed new smart grid vulnerability that can be exploited by attacks on the network topology. Traditional
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
The SINCRO.GRID—Phase 1 smart grid project innovatively integrated mature technologies that benefit the electricity systems of Slovenia and Croatia, as well as the countries in the region. The project included the deployment of
Distribution system operator HEP – Operator distribucijskog sustava (HEP ODS) has launched EUR 24 million Smart Grid Pilot Project which includes digitalisation of a part of the electricity distribution network in Croatia,
The transition towards smart grid introduces the potential for revolutionary changes in the present energy management systems. It provides the grid with the necessary functionalities to transform into a decentralized energy system, and integrate large-scale variable renewable energy sources with enhanced demand-side management.
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
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
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
This paper shows that the power grid topology can be approximately estimated simply by observing multiple power injection measurement data and exhibits almost similar patterns and characteristics to the original topology. Power grid topology is essential for various aspects of smart grid monitoring and operations. Recent studies show that by using the grid topology, an
What is the Smart Grid; Grid Talk; Voices of Experience; Back. Real Time Topology Processor. Publication Date: Nov. 30, 2010. Publishing Organization: Electric Power Research Institute. Format: PDF. Summary: This document describes how the topology processor calculates the topology model for real-time conditions.
