The Experts below are selected from a list of 13236 Experts worldwide ranked by ideXlab platform

Yasser Abdelrady I Mohamed - One of the best experts on this subject based on the ideXlab platform.

  • novel comprehensive control framework for incorporating vscs to Smart Power Grids using bidirectional synchronous vsc
    IEEE Transactions on Power Systems, 2014
    Co-Authors: Mahdi Ashabani, Yasser Abdelrady I Mohamed
    Abstract:

    This paper presents a new control strategy for voltage-source converters (VSCs) in the frequency-angle domain which enables dc-link voltage regulation via frequency and load angle adjustment. A major advantage of the proposed controller is emulating the behavior of synchronous machines (SMs) with proper regulation of dc-link voltage which eases integration of VSCs interfacing distributed and renewable generation units into ac systems in the presence of conventional SMs. A cascaded frequency, angle and virtual torque control topology is developed to emulate the mechanical behavior of an SM which offers synchronization Power to eliminate the need for a phase-locked-loop after initial converter synchronization, and damping Power dynamics to damp Power oscillations; and presents frequency dynamics similar to SMs, thus it introduces some inertia to the grid. The controller presents high stability margin and fast dc-link voltage regulation, whereas it can provide frequency support in the ac-side during contingencies. Frequency and voltage amplitude are adjusted by two separate loops. Two different variants are proposed for dc-link voltage control; namely direct dc-link voltage control and indirect dc-link voltage control via a dc-link voltage controller. Small-signal dynamics, analysis, and design process are presented. Both simulation and experimental results are provided to validate the controller effectiveness.

  • seamless formation and robust control of distributed generation microGrids via direct voltage control and optimized dynamic Power sharing
    IEEE Transactions on Power Electronics, 2012
    Co-Authors: Yasser Abdelrady I Mohamed, H H Zeineldin, M M A Salama, Ravi Seethapathy
    Abstract:

    Seamless formation and robust control of distributed generation microGrids are essential requirements to facilitate Powerful and flexible control infrastructure in future Smart Power Grids. Motivated by this objective, this paper presents a control structure for microgrid converters based on direct-voltage control and optimized dynamic Power sharing. The salient features of the proposed scheme are 1) minimum switching actions between grid-connected and isolated microGrids systems to minimize internal microgrid formation disturbances; 2) active damping control performance in the converter control voltage vector to effectively reject both voltage magnitude disturbances and Power angle swings associated with mode transition and load disturbances; and 3) high bandwidth direct voltage control loop in both grid-connected and isolated microgrid modes to improve the dynamic response and disturbance rejection performance. Theoretical analysis and comparative experimental results are presented to validate the effectiveness of the proposed control scheme.

Pei Zhang - One of the best experts on this subject based on the ideXlab platform.

  • Smart transmission grid: Vision and framework
    IEEE Transactions on Smart Grid, 2010
    Co-Authors: Fangxing Li, Yan Xia, Hongbin Sun, Zhao Xu, Wei Qiao, Jianhui Wang, Hui Wan, Pei Zhang
    Abstract:

    A modern Power grid needs to become Smarter in order to provide an affordable, reliable, and sustainable supply of electricity. For these reasons, considerable activity has been carried out in the United States and Europe to formulate and promote a vision for the development of future Smart Power Grids. However, the majority of these activities emphasized only the distribution grid and demand side leaving the big picture of the transmission grid in the context of Smart Grids unclear. This paper presents a unique vision for the future of Smart transmission Grids in which their major features are identified. In this vision, each Smart transmission grid is regarded as an integrated system that functionally consists of three interactive, Smart components, i.e., Smart control centers, Smart transmission networks, and Smart substations. The features and functions of each of the three functional components, as well as the enabling technologies to achieve these features and functions, are discussed in detail in the paper.

  • A vision of Smart transmission Grids
    2009 IEEE Power & Energy Society General Meeting, 2009
    Co-Authors: Zhenhua Jiang, Yan Xia, Hongbin Sun, Zhao Xu, Fangxing Li, Wei Qiao, Jianhui Wang, Hui Wan, Pei Zhang
    Abstract:

    Modern Power grid is required to become Smarter in order to provide an affordable, reliable, and sustainable supply of electricity. Under such circumstances, considerable activities have been carried out in the U.S. and Europe to formulate and promote a vision for the development of the future Smart Power Grids. However, the majority of these activities only placed emphasis on the distribution grid and demand side; while the big picture of the transmission grid in the context of Smart Grids is still unclear. This paper presents a unique vision for the future Smart transmission Grids in which the major features that these Grids must have are clearly identified. In this vision, each Smart transmission grid is regarded as an integrated system that functionally consists of three interactive, Smart components, i.e., Smart control centers, Smart transmission networks, and Smart substations. The features and functions of each of the three functional components as well as the enabling technologies to achieve these features and functions are discussed in detail in the paper.

Viktor K Prasanna - One of the best experts on this subject based on the ideXlab platform.

  • cloud based software platform for big data analytics in Smart Grids
    Computing in Science and Engineering, 2013
    Co-Authors: Yogesh Simmhan, Alok Kumbhare, Sam Stevens, Qunzhi Zhou, Saima Aman, Viktor K Prasanna
    Abstract:

    This article focuses on a scalable software platform for the Smart Grid cyber-physical system using cloud technologies. Dynamic Demand Response (D2R) is a challenge-application to perform intelligent demand-side management and relieve peak load in Smart Power Grids. The platform offers an adaptive information integration pipeline for ingesting dynamic data; a secure repository for researchers to share knowledge; scalable machine-learning models trained over massive datasets for agile demand forecasting; and a portal for visualizing consumption patterns, and validated at the University of Southern California's campus microgrid. The article examines the role of clouds and their tradeoffs for use in the Smart Grid Cyber-Physical Sagileystem.

  • International Semantic Web Conference (2) - Incorporating semantic knowledge into dynamic data processing for Smart Power Grids
    The Semantic Web – ISWC 2012, 2012
    Co-Authors: Qunzhi Zhou, Yogesh Simmhan, Viktor K Prasanna
    Abstract:

    Semantic Web allows us to model and query time-invariant or slowly evolving knowledge using ontologies. Emerging applications in Cyber Physical Systems such as Smart Power Grids that require continuous information monitoring and integration present novel opportunities and challenges for Semantic Web technologies. Semantic Web is promising to model diverse Smart Grid domain knowledge for enhanced situation awareness and response by multi-disciplinary participants. However, current technology does pose a performance overhead for dynamic analysis of sensor measurements. In this paper, we combine semantic web and complex event processing for stream based semantic querying. We illustrate its adoption in the USC Campus Micro-Grid for detecting and enacting dynamic response strategies to peak Power situations by diverse user roles. We also describe the semantic ontology and event query model that supports this. Further, we introduce and evaluate caching techniques to improve the response time for semantic event queries to meet our application needs and enable sustainable energy management.

  • scepter semantic complex event processing over end to end data flows
    2012
    Co-Authors: Qunzhi Zhou, Yogesh Simmhan, Viktor K Prasanna
    Abstract:

    Emerging Complex Event Processing (CEP) applications in cyber physical systems like Smart Power Grids present novel challenges for end-to-end analysis over events, flowing from heterogeneous information sources to persistent knowledge repositories. CEP for these applications must support two distinctive features – easy specification patterns over diverse information streams, and integrated pattern detection over realtime and historical events. Existing work on CEP has been limited to relational query patterns, and engines that match events arriving after the query has been registered. We propose SCEPter, a semantic complex event processing framework which uniformly processes queries over continuous and archived events. SCEPteris built around an existing CEP engine with innovative support for semantic event pattern specification and allows their seamless detection over past, present and future events. Specifically, we describe a unified semantic query model that can operate over data flowing through event streams to event repositories. Compile-time and runtime semantic patterns are distinguished and addressed separately for efficiency. Query rewriting is examined and analyzed in the context of temporal boundaries that exist between event streams and their repository to avoid duplicate or missing results. The design and prototype implementation of SCEPterare analyzed using latency and throughput metrics for scenarios from the Smart Grid domain.

  • DEBS - Towards an inexact semantic complex event processing framework
    Proceedings of the 5th ACM international conference on Distributed event-based system - DEBS '11, 2011
    Co-Authors: Qunzhi Zhou, Yogesh Simmhan, Viktor K Prasanna
    Abstract:

    Complex event processing (CEP) deals with detecting real-time situations, represented as event patterns, from among an event cloud. The state-of-the-art CEP systems process events as plain data tuples and are limited to detect precisely defined patterns. Emerging application areas like optimization in Smart Power Grids require CEP to incorporate semantic knowledge of the domain for easier pattern specification, and detect inexact patterns in the presence of uncertainties. In this paper, we present motivating use cases, discuss limitations of existing CEP systems and describe our work towards an Inexact Semantic Complex Event Processing (InSCEP) framework.

Are Kvinnesland - One of the best experts on this subject based on the ideXlab platform.

  • CRiSIS - An Industrial Trial of an Approach to Identification and Modelling of Cybersecurity Risks in the Context of Digital Secondary Substations
    Lecture Notes in Computer Science, 2020
    Co-Authors: Aida Omerovic, Hanne Vefsnmo, Oddbjørn Gjerde, Siri T. Ravndal, Are Kvinnesland
    Abstract:

    We have in an earlier study proposed a set of requirements and an approach to identification and modelling of cybersecurity risks and their impacts on safety, within the context of Smart Power Grids. The approach, which consisted of a process and a modelling language, was a partially customized version of the existing “CORAS” risk-analysis approach. As a part of the study, feasibility of the approach was evaluated by applying it on an industrial pilot for so-called self-healing functionality of a Smart Power grid. The results obtained were promising, but further empirical evaluation was strongly needed in order to further assess usefulness and applicability of the approach in the context of Smart Power Grids. This paper provides a detailed account of results of applying the same approach to cybersecurity risk identification and modelling in the context of another Smart grid pilot, namely digital secondary substations. The trial was conducted in a real setting, in the form of an industrial case study, in close collaboration with the major Norwegian distribution system operator that has been running the pilot for about two years. The evaluation indicates that the approach can be applied in a real setting to identify and model cybersecurity risks. The experiences from the case study moreover show that the presented approach is, to a large degree, well suited for its intended purpose, but it also points to areas in need for improvement and further evaluation.

  • an industrial trial of an approach to identification and modelling of cybersecurity risks in the context of digital secondary substations
    Conference on Risks and Security of Internet and Systems, 2019
    Co-Authors: Aida Omerovic, Hanne Vefsnmo, Oddbjørn Gjerde, Siri T. Ravndal, Are Kvinnesland
    Abstract:

    We have in an earlier study proposed a set of requirements and an approach to identification and modelling of cybersecurity risks and their impacts on safety, within the context of Smart Power Grids. The approach, which consisted of a process and a modelling language, was a partially customized version of the existing “CORAS” risk-analysis approach. As a part of the study, feasibility of the approach was evaluated by applying it on an industrial pilot for so-called self-healing functionality of a Smart Power grid. The results obtained were promising, but further empirical evaluation was strongly needed in order to further assess usefulness and applicability of the approach in the context of Smart Power Grids. This paper provides a detailed account of results of applying the same approach to cybersecurity risk identification and modelling in the context of another Smart grid pilot, namely digital secondary substations. The trial was conducted in a real setting, in the form of an industrial case study, in close collaboration with the major Norwegian distribution system operator that has been running the pilot for about two years. The evaluation indicates that the approach can be applied in a real setting to identify and model cybersecurity risks. The experiences from the case study moreover show that the presented approach is, to a large degree, well suited for its intended purpose, but it also points to areas in need for improvement and further evaluation.

Dusmanta Kumar Mohanta - One of the best experts on this subject based on the ideXlab platform.

  • Phasor Measurement Sensor-Based Angular Stability Retention System for Smart Power Grids With High Penetration of MicroGrids
    IEEE Sensors Journal, 2018
    Co-Authors: Pathirikkat Gopakumar, Maddikara Jaya Bharata Reddy, Dusmanta Kumar Mohanta
    Abstract:

    Emerging phasor measurement sensor (PMS) technology is revolutionizing conventional Power Grids to Smart Power Grids (SPGs). This also paves the way for deregulations in energy market and wide area infusion of distributed energy-based systems like microGrids (MGs). Advanced energy management of MGs for better consumer gratification may pose severe threat to angular stability of SPGs. This paper outlines the angular stability issues that may emerge in SPGs due to high penetration of MGs. PMS-Powered stability monitoring and MG operational-based stability retention technique are proposed for retaining the angular stability. Real-time frequency domain analysis of phase angle oscillations measured from PMS across the grid is the backbone of the proposed stability monitoring technique. Wide area optimized control of MGs with the aid of topological genetic algorithm is proposed for restraining the stability. Case studies conducted on standard bus systems portray the impact of high penetration of MGs on angular stability and the effectiveness of proposed techniques in monitoring and retaining the stability.

  • Adaptive fault identification and classification methodology for Smart Power Grids using synchronous phasor angle measurements
    Iet Generation Transmission & Distribution, 2015
    Co-Authors: Pathirikkat Gopakumar, Maddikara Jaya Bharata Reddy, Dusmanta Kumar Mohanta
    Abstract:

    Smart Power Grids (SPGs) entail comprehensive real-time Smart monitoring and controlling strategies against contingencies such as transmission line faults. This study proposes a novel methodology for identifying and classifying transmission line faults occurring at any location in a Power grid from phasor measurement unit measurements at only one of the generator buses. The proposed methodology is based on frequency domain analysis of equivalent voltage phase angle and equivalent current phase angle at the generator bus. Equivalent voltage and current phase angles are the angles made by three-phase equivalent voltage and current phasors with respect to reference axis. These angles are estimated through Park's transformation and frequency domain analysis is performed over a fixed time span equal to inverse of system nominal frequency using fast Fourier transformation. The proposed methodology can be utilised for relaying purposes in case of single transmission lines as well as for system protection centre (SPC) applications in Power grid. The significance of the fault information from the methodology is for assisting SPC in SPGs for transmission line fault detection and classification to restore the transmission lines at the earliest and initiate wide-area control actions to maintain system stability against disturbances generated by occurrence and clearance of fault.

  • Fault Detection and Localization Methodology for Self-healing in Smart Power Grids Incorporating Phasor Measurement Units
    Electric Power Components and Systems, 2015
    Co-Authors: Pathirikkat Gopakumar, Maddikara Jaya Bharata Reddy, Dusmanta Kumar Mohanta
    Abstract:

    AbstractRecent developments in several fields of engineering have accelerated the evolution of Smart Power Grids encompassing both transmission and distribution systems across the globe. Self-healing, a crucial operational function of a Smart Power grid, requires detection as well as localization of the transmission line faults in the Power network in real time. A support vector machine based fault-localization methodology has been proposed to accurately detect and localize any type of transmission line faults for the entire Smart Power grid. This methodology identifies the transmission line fault in Smart Power grid and precisely pinpoints the bus to which the faulty branch is connected. Afterward, the faulty branch is discriminated, and the distance of fault location from the bus related to the fault is estimated. The methodology relies on frequency-domain analysis of the equivalent voltage phasor angle and equivalent current phasor angle using fast Fourier transform. The proposed methodology has been c...

  • Stability Control of Smart Power Grids with Artificial Intelligence and Wide-area Synchrophasor Measurements
    Electric Power Components and Systems, 2014
    Co-Authors: Pathirikkat Gopakumar, M. Jaya Bharata Reddy, Dusmanta Kumar Mohanta
    Abstract:

    Abstract—Environmental concerns due to emissions from nuclear and fossil fuel based Power plants have triggered widespread utilization of renewable energy-based small- and large-scale distributed generation technologies. These technologies have been transforming the energy market towards a deregulated and dispersed entity. To cope with these transformations, and ensure appropriate grid monitoring and control, the conventional Power Grids across the globe have been enduring a paradigm shift towards a Smart grid that is emPowered with cutting edge technologies. The operational stability of these emerging Smart Power Grids necessitates sophisticated real-time monitoring and control technologies. This article analyzes various stability concerns in Smart Power Grids pertaining to distributed generations and proposes novel methodologies for ensuring operational stability. The proposed methodologies entail real-time stability monitoring and stability control with the use of wide-area synchrophasor measurements a...

  • Transmission line fault detection, classification, and localization in Smart Power Grids using synchrophasor measurements
    Synchronized Phasor Measurements for Smart Grids, 1
    Co-Authors: Pathirikkat Gopakumar, Maddikara Jaya Bharata Reddy, Dusmanta Kumar Mohanta
    Abstract:

    Innovations in computational and communication technologies have been instrumental in the transition of conventional Power Grids to Smart Power Grids (SPG) [1]. In SPG protection systems, one of the major research challenges is the development of real-time self-healing protection methodologies. A major constituent of selfhealing technology is transmission line fault monitoring [1,2]. Intelligent methods play a vital role to precisely detect, classify, and localize the transmission line faults occurring anywhere in the grid. Conventional fault monitoring methodologies for transmission lines are limited to specific transmission line configurations, and these methods have necessarily to be incorporated in all transmission lines. The transfer of information from transmission lines to system protection center (SPC) necessitates proper communication channels, leading to heavy computational and communication burden. SPG protection system tides over this burden. This chapter discusses methodologies for transmission line fault detection, classification, and localization in SPGs using wide-area phasor measurement unit (PMU) measurements, which can overcome the computational and communication burden.