IEEE Standards Activities in the Smart Grid Space (ICT Focus)
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An Analysis of IEEE 802.16 and Wimax Multicast Delivery
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Calhoun, Institutional Archive of the Naval Postgraduate School Calhoun: The NPS Institutional Archive Theses and Dissertations Thesis Collection 2007-09 An analysis of IEEE 802.16 and WiMAX multicast delivery Staub, Patrick A. Monterey, California. Naval Postgraduate School http://hdl.handle.net/10945/3203 NAVAL POSTGRADUATE SCHOOL MONTEREY, CALIFORNIA THESIS AN ANALYSIS OF IEEE 802.16 AND WIMAX MULTICAST DELIVERY by Patrick A. Staub September, 2007 Thesis Advisor: Bert Lundy Second Reader: George Dinolt Approved for public release; distribution is unlimited THIS PAGE INTENTIONALLY LEFT BLANK REPORT DOCUMENTATION PAGE Form Approved OMB No. 0704-0188 Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instruction, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to Washington headquarters Services, Directorate for Information Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302, and to the Office of Management and Budget, Paperwork Reduction Project (0704-0188) Washington DC 20503. 1. AGENCY USE ONLY (Leave blank) 2. REPORT DATE 3. REPORT TYPE AND DATES COVERED September 2007 Master’s Thesis 4. TITLE AND SUBTITLE An Analysis of IEEE 802.16 and WiMAX 5. FUNDING NUMBERS Multicast Delivery 6. AUTHOR(S) Patrick A. Staub 7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) 8. -
State-Of-The-Art Artificial Intelligence Techniques for Distributed Smart
electronics Review State-of-the-Art Artificial Intelligence Techniques for Distributed Smart Grids: A Review Syed Saqib Ali and Bong Jun Choi * School of Computer Science and Engineering, Soongsil University, Seoul 06978, Korea; [email protected] * Correspondence: [email protected]; Tel.: +82-2-820-0923 Received: 12 May 2020; Accepted: 10 June 2020; Published: 22 June 2020 Abstract: The power system worldwide is going through a revolutionary transformation due to the integration with various distributed components, including advanced metering infrastructure, communication infrastructure, distributed energy resources, and electric vehicles, to improve the reliability, energy efficiency, management, and security of the future power system. These components are becoming more tightly integrated with IoT. They are expected to generate a vast amount of data to support various applications in the smart grid, such as distributed energy management, generation forecasting, grid health monitoring, fault detection, home energy management, etc. With these new components and information, artificial intelligence techniques can be applied to automate and further improve the performance of the smart grid. In this paper, we provide a comprehensive review of the state-of-the-art artificial intelligence techniques to support various applications in a distributed smart grid. In particular, we discuss how artificial techniques are applied to support the integration of renewable energy resources, the integration of energy storage systems, demand response, management of the grid and home energy, and security. As the smart grid involves various actors, such as energy produces, markets, and consumers, we also discuss how artificial intelligence and market liberalization can potentially help to increase the overall social welfare of the grid. -
Comparison of the IEEE 802.11, 802.15.1, 802.15.4 and 802.15.6 Wireless Standards
Comparison of the IEEE 802.11, 802.15.1, 802.15.4 and 802.15.6 wireless standards Jan Magne Tjensvold∗ September 18, 2007 1 Introduction This paper contains a comparison of some of the wireless standards authored by the Institute of Electrical and Electronics Engineers (IEEE) [1]. It explain some of the differences and similarities between the IEEE 802.11, 802.15.1, 802.15.4 and 802.15.6 wireless standards with an emphasis on the physical layer. 2 Wireless standards The wireless standards that we will investigate in this paper is only a selec- tion from all the standards available. These explanations are not meant to be exhaustive. 2.1 IEEE 802.11 - WLAN/Wi-Fi Wireless LAN (WLAN, also known as Wi-Fi) is a set of low tier, terrestrial, net- work technologies for data communication. The WLAN standards operates on the 2.4 GHz and 5 GHz Industrial, Science and Medical (ISM) frequency bands. It is specified by the IEEE 802.11 standard [2] and it comes in many different variations like IEEE 802.11a/b/g/n. The application of WLAN has been most visible in the consumer market where most portable computers support at least one of the variations. 2.2 IEEE 802.15.1 - Bluetooth The IEEE 802.15.1 standard [3] is the basis for the Bluetooth wireless communi- cation technology. Bluetooth is a low tier, ad hoc, terrestrial, wireless standard for short range communication. It is designed for small and low cost devices with low power consumption. The technology operates with three different classes of devices: Class 1, class 2 and class 3 where the range is about 100 meters, 10 meters and 1 meter respectively. -
Bluetooth 4.0: Low Energy
Bluetooth 4.0: Low Energy Joe Decuir Standards Architect,,gy CSR Technology Councilor, Bluetooth Architecture Review Board IEEE Region 6 Northwest Area chair Agenda Wireless Applications Perspective How do wireless devices spend energy? What is ‘classic’ Bluetooth? Wha t is Bluet ooth Low Energy? How do the components work? How low is the energy? Perspective: how does ZigBee & 802.15.4 work? What is Bluetooth Low Energy good for? Where can we learn more? Shilliihort range wireless application areas Voice Data Audio Video State Bluetooth ACL / HS x YYxx Blue too th SCO/eSCO Y x x x x Bluetooth low energy xx x xY Wi-Fi (()VoIP) YYYx Wi-Fi Direct Y Y Y xx ZigBee xx x xY ANT xx x xY State = low bandwidth, low latency data Low Power How do wireless devices spend power? Dutyyy Cycle: how often they are on The wireless world has put a lot of effort into reducing this Protocol efficiency: what do they do when on? Different MACs are tuned for different types of applicati ons TX power: how much power they transmit And how efficient the transmit amplifier is How long they have to transmit when they are on Data rate helps here – look at energy per bit How muchhlh energy the signal processing consumes This is driven by chip silicon process if the DSP dominates This is driven TX power if the RF dominates Example transmit power & efficiency comparisons High rate: 802.11n (single antenna) vs UWB, short range In 90nm, an 802.11n chip might spend ~200mW in DSP, but 500mW in the TX amplifier (mostly because they are about 10% efficient on OFDM carriers) -
Application of Ethernet Networking Devices Used for Protection and Control Applications in Electric Power Substations
Application of Ethernet Networking Devices Used for Protection and Control Applications in Electric Power Substations Report of Working Group P6 of the Power System Communications and Cybersecurity Committee of the Power and Energy Society of IEEE September 12, 2017 1 IEEE PES Power System Communications and Cybersecurity Committee (PSCCC) Working Group P6, Configuring Ethernet Communications Equipment for Substation Protection and Control Applications, has existed during the course of report development as Working Group H12 of the IEEE PES Power System Relaying Committee (PSRC). The WG designation changed as a result of a recent IEEE PES Technical Committee reorganization. The membership of H12 and P6 at time of approval voting is as follows: Eric A. Udren, Chair Benton Vandiver, Vice Chair Jay Anderson Galina Antonova Alex Apostolov Philip Beaumont Robert Beresh Christoph Brunner Fernando Calero Christopher Chelmecki Thomas Dahlin Bill Dickerson Michael Dood Herbert Falk Didier Giarratano Roman Graf Christopher Huntley Anthony Johnson Marc LaCroix Deepak Maragal Aaron Martin Roger E. Ray Veselin Skendzic Charles Sufana John T. Tengdin 2 IEEE PES PSCCC P6 Report, September 2017 Application of Ethernet Networking Devices Used for Protection and Control Applications in Electric Power Substations Table of Contents 1. Introduction ...................................................................................... 10 2. Ethernet for protection and control .................................................. 10 3. Overview of Ethernet message -
IEEE 802 and Consortiums Jim Carlo ([email protected]) TI Fellow, Texas Instruments Incorporated Chair - IEEE 802 LMSC Chair - ISO/IEC JTC1/SC6
IEEE 802 and Consortiums Jim Carlo ([email protected]) TI Fellow, Texas Instruments Incorporated Chair - IEEE 802 LMSC Chair - ISO/IEC JTC1/SC6 • IEEE 802 Organization Summary • IEEE 802 Standards Process • Consortium Experience • IEEE-SA New Initiatives • IEEE 802 Wireless Vision EEE Jim Carlo - Texas Instruments I802 IEEE 802 Local and Metropolitan Area Network Standards Committee • Accredited by ANSI, Sponsored by IEEE Computer Society – Ethernet, Token Ring, Wireless, Cable Modem Standards – Bridging, VLAN, Security Upper Layer Standards • Meets three times per year (400 individuals, 15% non-US) • Develops equivalent IEC/ISO JTC 1 standards – JTC 1 series of equivalent standards are known as ISO 8802-nnn • IEEE 802 web site at http://stdsbbs.ieee.org/groups/802. • Chair: Jim Carlo ([email protected]) PHONE:214-340-8837 EEE Jim Carlo - Texas Instruments I802 IEEE 802 Standards Principals • Due Process – Rules and Procedures • Consensus – Near unanimity • Openness – Everyone has Access to Process – Individuals, World-wide • Balance – Balloting group must include developers and users • Right to Appeal – Both procedural and technical anytime during the process EEE Jim Carlo - Texas Instruments I802 IEEE 802 ORGANIZATION LMSC SPONSOR CHAIR Jim Carlo WORKING GROUP CHAIRS EXEC OFFICERS 802.1 802.3 RECORDING SEC BRIDGING/ARCH CSMA/CD VICE CHAIR Active Howard Frazier Bill Lidinsky Geoff Thompson Paul Nikolich 802.5 802.8 802.10 EXECUTIVE SEC TOKEN RING FIBER TAG SECURITY Active TREASURER Buzz Rigsbee Bob Love Chip Benson Ken Alonge Bob Grow 802.11 -
A Survey of Smart Grid Architectures, Applications, Benefits and Standardization
A survey of smart grid architectures, applications, benefits and standardization This is the Accepted version of the following publication Nafi, NS, Ahmed, Khandakar, Gregory, MA and Datta, M (2016) A survey of smart grid architectures, applications, benefits and standardization. Journal of Network and Computer Applications, 76. 23 - 36. ISSN 1084-8045 The publisher’s official version can be found at http://www.sciencedirect.com/science/article/pii/S1084804516302314 Note that access to this version may require subscription. Downloaded from VU Research Repository https://vuir.vu.edu.au/32688/ Author’s Accepted Manuscript A Survey of Smart Grid Architectures, Applications, Benefits and Standardization Nazmus S. Nafi, Khandakar Ahmed, Mark A. Gregory, Manoj Datta www.elsevier.com/locate/jnca PII: S1084-8045(16)30231-4 DOI: http://dx.doi.org/10.1016/j.jnca.2016.10.003 Reference: YJNCA1730 To appear in: Journal of Network and Computer Applications Received date: 11 June 2016 Revised date: 22 August 2016 Accepted date: 4 October 2016 Cite this article as: Nazmus S. Nafi, Khandakar Ahmed, Mark A. Gregory and Manoj Datta, A Survey of Smart Grid Architectures, Applications, Benefits and Standardization, Journal of Network and Computer Applications, http://dx.doi.org/10.1016/j.jnca.2016.10.003 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting galley proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. -
Interference Evaluation of Bluetooth and IEEE 802.11B Systems
Wireless Networks 9, 201–211, 2003 2003 Kluwer Academic Publishers. Manufactured in The Netherlands. Interference Evaluation of Bluetooth and IEEE 802.11b Systems N. GOLMIE ∗, R.E. VAN DYCK, A. SOLTANIAN, A. TONNERRE and O. RÉBALA National Institute of Standards and Technology, Gaithersburg, MD 20899, USA Abstract. The emergence of several radio technologies, such as Bluetooth and IEEE 802.11, operating in the 2.4 GHz unlicensed ISM frequency band, may lead to signal interference and result in significant performance degradation when devices are colocated in the same environment. The main goal of this paper is to evaluate the effect of mutual interference on the performance of Bluetooth and IEEE 802.11b systems. We develop a simulation framework for modeling interference based on detailed MAC and PHY models. First, we use a simple simulation scenario to highlight the effects of parameters, such as transmission power, offered load, and traffic type. We then turn to more complex scenarios involving multiple Bluetooth piconets and WLAN devices. Keywords: WPANs, Bluetooth, IEEE 802.11b, interference 1. Introduction In addition, there has been several attempts at quantifying the impact of interference on both the WLAN and Bluetooth The proliferation of mobile computing devices including lap- performance. Published results can be classified into at least tops, personal digital assistants (PDAs), and wearable com- three categories depending on whether they rely on analysis, puters has created a demand for wireless personal area net- simulation, or experimental measurements. works (WPANs). WPANs allow closely located devices to Analytical results based on probability of packet colli- share information and resources. -
Analysis of Wifi and Wimax and Wireless Network Coexistence
International Journal of Computer Networks & Communications (IJCNC) Vol.6, No.6, November 2014 ANALYSIS OF WIFI AND WIMAX AND WIRELESS NETWORK COEXISTENCE Shuang Song and Biju Issac School of Computing, Teesside University, Middlesbrough, UK ABSTRACT Wireless networks are very popular nowadays. Wireless Local Area Network (WLAN) that uses the IEEE 802.11 standard and WiMAX (Worldwide Interoperability for Microwave Access) that uses the IEEE 802.16 standard are networks that we want to explore. WiMAX has been developed over 10 years, but it is still unknown to most people. However compared to WLAN, it has many advantages in transmission speed and coverage area. This paper will introduce these two technologies and make comparisons between WiMAX and WiFi. In addition, wireless network coexistence of WLAN and WiMAX will be explored through simulation. Lastly we want to discuss the future of WiMAX in relation to WiFi. KEY WORDS WiMAX, WiFi, wireless network, wireless coexistence, network simulation 1. INTRODUCTION With the development of multimedia communication, people need wireless broadband access with higher speed, larger coverage and mobility. The emergence of WiMAX (Worldwide Interoperability for Microwave Access) technology met the people's demand for wireless Internet to some extent. If wireless LAN technology (WLAN) solves the access problem of the "last one hundred meters", then WiMAX technology is the best access solution of the "last mile". Though WiMAX is an emerging and extremely competitive wireless broadband access technology, the development prospects of its market is still unknown. Hybrid networks as a supplement to cell based or IP packet based services, can fully reflect the characteristics of wide network coverage. -
Sicherheit Und Datenschutz Im Smart Grid
Sicherheit und Datenschutz im Smart Grid Bachelor-Thesis im Studiengang Medieninformatik vorgelegt von Kristian Antic Matrikelnummer: 20177 am 8. März 2012 an der Hochschule der Medien Stuttgart Erstprüfer: Prof. Dr. Joachim Charzinski Zweitprüfer: Christoph Lindenmüller Bearbeitungszeitraum: 08. Dezember 2011 bis 8. März 2012 Erklärung Hiermit erkläre ich, dass ich die vorliegende Arbeit selbständig angefertigt habe. Es wurden nur die in der Arbeit ausdrücklich benannten Quellen und Hilfsmittel benutzt. Wörtlich oder sinngemäß übernommenes Gedankengut habe ich (mit Ausnahme dieser Erklärung) als solches kenntlich gemacht.1 Ort, Datum Unterschrift 1Riekert: Eine Dokumentvorlage für Diplomarbeiten und andere wissenschaftliche Arbeiten (2002), [83], S. 42. Kurzfassung Der vermehrte Einsatz von erneuerbaren Energien, welche nicht ständig verfügbar und nur begrenzt speicherbar sind, erschweren die Steuerung der Stromnetze. Zur Anpassung der Energieerzeugung an den tatsächlichen Bedarf werden Smart Grids („intelligente Stromnetze“) aufgebaut, die eine Steuerung des Energieverbrauchs in Abhängigkeit von der Verfügbarkeit ermöglichen. Die bereits vorhandenen Stromnetzte werden hierzu um Kommunikationsnetze erweitert. Smart Meter („intelligente Stromzähler“) die beim Verbraucher eingesetzt werden, senden über die Kommunikationsnetze Messdaten zyklisch an die jeweiligen Stromnetzbetreiber. In Zukunft soll auch eine Steuerung von Haushaltsgeräten möglich werden. Daraus ergeben sich neue Herausforderungen in Bezug auf Sicherheit und Datenschutz. Die hier vorliegende Arbeit bietet eine kurze Einführung in die Grundlagen zum Thema Smart Grid. Es wird eine Referenzarchitektur definiert und die einzelnen Bestandteile des Smart Grids werden vorgestellt. Eine Auseinandersetzung mit den rechtlichen und regulatorischen Rahmenbedingungen sowie ein Überblick über den Stand der Entwicklungen intelligenter Stromnetze, insbesondere der Verbreitung von Smart Metern, vervollständigt die Grundlagen. Zusätzlich werden wesentliche Aspekte von Sicherheit und Datenschutz angesprochen. -
IEEE 802 and IEEE 802.11
CS5984 Outline Mobile Computing •IEEE 802 Architecture •IEEE 802.11 Wireless LANs Based on Chapter 14 in Wireless Communications and Networks, William Stallings, Prentice Dr. Ayman Abdel-Hamid Hall, 2002 Computer Science Department Virginia Tech IEEE 802 and IEEE 802.11 IEEE 802 and IEEE 802.11 © Dr. Ayman Abdel-Hamid, CS5984 1 IEEE 802 and IEEE 802.11 © Dr. Ayman Abdel-Hamid, CS5984 2 Spring 2006 Spring 2006 IEEE 802 Architecture 1/7 IEEE 802 Architecture 2/7 •Physical layer ¾Encoding/decoding of signals ¾Preamble generation/removal (for synchronization) ¾Bit transmission/reception ¾Specification of transmission medium and topology (considered below lowest layer of OSI model) •Medium Access Control layer (MAC) ¾On transmission, assemble data into a frame with address and error detection fields ¾On reception, disassemble frame, and perform address recognition and error detection ¾Govern access to the LAN transmission medium Chapter 14 in Wireless Communications and Networks, William Stallings, Prentice Hall, 2002 IEEE 802 and IEEE 802.11 © Dr. Ayman Abdel-Hamid, CS5984 3 IEEE 802 and IEEE 802.11 © Dr. Ayman Abdel-Hamid, CS5984 4 Spring 2006 Spring 2006 IEEE 802 Architecture 4/7 IEEE 802 Architecture 3/7 •Logical Link Control (LLC) layer ¾Provide an interface to higher layers and perform flow and error control •Why the separation? ¾Logic required to manage access to a shared-access medium is not found in traditional layer 2 data link control ¾For the same LLC, several MAC options may be provided IEEE 802 and IEEE 802.11 © Dr. Ayman Abdel-Hamid, CS5984 5 IEEE 802 and IEEE 802.11 © Dr. -
Review of Energy Management System Approaches in Microgrids
energies Review Review of Energy Management System Approaches in Microgrids Amrutha Raju Battula 1 , Sandeep Vuddanti 1 and Surender Reddy Salkuti 2,* 1 Department of Electrical Engineering, National Institute of Technology Andhra Pradesh (NIT-AP), Tadepalligudem, Andhra Pradesh 534101, India; [email protected] (A.R.B.); [email protected] (S.V.) 2 Department of Railroad and Electrical Engineering, Woosong University, Daejeon 34606, Korea * Correspondence: [email protected]; Tel.: +82-10-9674-1985 Abstract: To sustain the complexity of growing demand, the conventional grid (CG) is incorporated with communication technology like advanced metering with sensors, demand response (DR), energy storage systems (ESS), and inclusion of electric vehicles (EV). In order to maintain local area energy balance and reliability, microgrids (MG) are proposed. Microgrids are low or medium voltage distribution systems with a resilient operation, that control the exchange of power between the main grid, locally distributed generators (DGs), and consumers using intelligent energy management techniques. This paper gives a brief introduction to microgrids, their operations, and further, a review of different energy management approaches. In a microgrid control strategy, an energy management system (EMS) is the key component to maintain the balance between energy resources (CG, DG, ESS, and EVs) and loads available while contributing the profit to utility. This article classifies the methodologies used for EMS based on the structure, control, and technique used. The untapped areas which have scope for investigation are also mentioned. Keywords: renewable energy sources; microgrid; energy management system; communication technologies; microgrid standards Citation: Battula, A.R.; Vuddanti, S.; Salkuti, S.R.