Smart Meter Systems
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The Annual IEEE PES General Meeting will bring together over 2900 attendees for technical sessions, administrative sessions, super sessions, poster sessions, student programs, awards ceremonies, committee meetings, tutorials and more
Bi-Annual IEEE PES T&D conference. Largest T&D conference in North America.
1. Power Electronic Devices (Si and Wide band-gap) and Applications, 2. Power electronic packaging and integration, 3. Modeling, Simulation and EMI, 4. Lighting Technologies and Applications, 5. Wireless Power Transfer, 6. Uncontrolled Rectifiers and AC/DC Converters, 7. AC/AC Converters, 8. DC/AC Inverters, 9. DC/DC Converters, 10. Multilevel Power Converters, 11. Electric Machines, Actuators and Sensors, 12. Motor Control and Drives, 13. Sensorless and Sensor-Reduction Control, 14. Renewable Energy and Distributed Generation Systems, 15. Smart/Micro Grid, 16. DC Distribution 17. Power Quality (or Power Electronics for Utility Interface), 18. Energy Storage and Management Systems, 19. Power Electronics for Transportation Electrification, 20. Reliability, diagnosis, prognosis and protection, 21. High Voltage DC Transmission, 22. Other Selected Topics in Power Electronics
Industrial information technologies
This is a conference with a focus on wireless components, applications, and systems that impact both our current and future life style. The conference's main niche is to bring together technologists, circuit designers, system designers, and entrepreneurs at a single event. It was and is the place where these worlds meet, where new processes and systems can be benchmarked against the needs of circuit designers at the bleeding edge of RF systems, where today's design compromises can trigger tomorrow's advanced technologies. Where dreams can become a reality. RWS is the cornerstone conference for Radio Wireless Week.
The IEEE Transactions on Automation Sciences and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. We welcome results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, ...
Each tutorial reviews currents communications topics in network management and computer and wireless communications. Available tutorials, which are 2.5 to 5 hours in length contains the original visuals and voice-over by the presenter. IEEE Communications Surveys & Tutorials features two distinct types of articles: original articles and reprints. The original articles are exclusively written for IEEE Communications Surveys & Tutorials ...
Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.
The design and manufacture of consumer electronics products, components, and related activities, particularly those used for entertainment, leisure, and educational purposes
The purpose of TDSC is to publish papers in dependability and security, including the joint consideration of these issues and their interplay with system performance. These areas include but are not limited to: System Design: architecture for secure and fault-tolerant systems; trusted/survivable computing; intrusion and error tolerance, detection and recovery; fault- and intrusion-tolerant middleware; firewall and network technologies; system management ...
2016 International Conference on Electrical, Electronics, Communication, Computer and Optimization Techniques (ICEECCOT), 2016
The challenges in electrical distribution is that the supply of efficient power to the consumers through t the day. For this utilities have to cater a strong, perfect systems and equipment at all stages of transmission and distribution until the end user. One such initiatives is to get the information from all the users to control the electricity supply effectively. ...
2017 International Conference on Nextgen Electronic Technologies: Silicon to Software (ICNETS2), 2017
The electricity demand is increasing with the growth of population and with the use of different appliances in the households. So, there is a need for consumers to track their daily usage and understand the consumption patterns to save and control these resources. Smart meter along with Advanced Metering Infrastructure(AMI) is a pragmatic and efficient solution for this. Earlier procedure ...
2013 International Conference on Availability, Reliability and Security, 2013
The emergence of decentralized energy production pushes the deployment of smart-grid solutions. While the availability of fine-grained consumption data via smart-meter measurements provides several advantages for energy providers (e.g., grid automation, accurate forecasts), they also raise concerns about the privacy of the users. In this paper we present an efficient and privacy- aware communication protocol for future smart-grid solutions. The ...
2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), 2018
The increasing penetration of low carbon technologies and electric vehicles is expected to place a considerable burden to Low Voltage (LV) power distribution networks. The previously passive management of LV networks will no longer be sustainable to cope with this growth. A more proactive approach is required to manage LV networks, usually achieved by using Power System State Estimation (PSSE) ...
2016 IEEE International Instrumentation and Measurement Technology Conference Proceedings, 2016
Several applications require a distributed measurement system able to measure the same or different parameters at different points in a wide area. In recent years, a wide variety of solutions have been proposed for the remote measurement and data transmission. In this paper an architecture of a real- time energy management is presented. It provides several Smart Meters, that continuously ...
Global Distribution Systems for the Smart Grid: Gordon Day
IEEE Smart Village - Empowering Off-Grid Communities
Cyber-Physical ICT for Smart Cities: Emerging Requirements in Control and Communications - Ryogo Kubo
Jaafar Elmirghani: Distinguished Experts Panel - TTM 2018
IEEE Smart Grid: Vision, Mission, Community
Engineering the Untamed: Design for Sociotechnical Systems - IEEE Smart Tech Workshop Opening Keynote
IMS 2015: Smart Textile Computational Systems
Challenges in the Developing Smart Grid: Chuck Adams
Roberto Saracco: Far Futures Panel - Symbiotic Autonomous Systems - TTM 2018
Norha Villegas: The Role of Models at Runtime in Smart Cyber Physical Systems: WF IoT 2016
NEREID: Smart Sensors, Smart Energy & Energy Harvesting - David Holden at INC 2019
Transportation Electrification: San Diego Gas & Electric's Implementation of the SmartGrid
Po-Tai Cheng, Distinguished Lecturer - PELS
Stan Schneider: Complexity Management in the Industrial IoT - IoT Challenges Industry Forum Panel: WF IoT 2016
Transportation Electrification: Smart Grids and Sustainable Generation
MicroApps: Simplifying Microwave Power Amplifer Characterization using Power Meter & Sensors (Agilent Technologies)
Fengrui Shi: Game Theoretic and Auction-based Algorithms Towards Opportunistic Edge-Processing in LPWA LoRa Networks: WF-IoT 2016
Hausi Muller: Models At Runtime and Networked Control for Smart Cyber Physical Systems: WF IoT 2016
ISSCC 2012 - Formal Opening
The challenges in electrical distribution is that the supply of efficient power to the consumers through t the day. For this utilities have to cater a strong, perfect systems and equipment at all stages of transmission and distribution until the end user. One such initiatives is to get the information from all the users to control the electricity supply effectively. Also the system considered should be strong enough to cater the needs of the utility as well as consumers. In this path effort should be a lot more to initiate the system needs, utility constraints and consumer satisfaction at all times of the day. For this to achieve, utility has to put a lot of efforts in terms of technical and commercial aspects, without comprising. This paper presents the emerging information in the smart meter infrastructure paradigm. It provides representative examples, discusses existing challenges and advantages. And also to submit information about present consideration for the smart meter system support and the implementation initiatives. The current metering system treated as isolated and passive system compare to the modern information system of real time metering. Here we are presenting about the smart meter system usage, advantage and its challenges.
The electricity demand is increasing with the growth of population and with the use of different appliances in the households. So, there is a need for consumers to track their daily usage and understand the consumption patterns to save and control these resources. Smart meter along with Advanced Metering Infrastructure(AMI) is a pragmatic and efficient solution for this. Earlier procedure which put to profitable use of one-way communications to gather meter data, were mentioned to as Automated Meter Reading (AMR)Systems. This paper aims at analysing the performance of the proposed smart meter systems, efficient transmission and how utilities explore new developments for the benefit of consumers as well as themselves by remotely monitoring energy consumption. The methodology followed to analyze the outcome is Power Line Communication(PLC), which is an arrangement to pass on data on an electrical conductor used for transmitting electric power from high voltage transmission lines to lower voltage lines used inside the buildings. This is achieved by using PLC modems for remote monitoring and control of energy meters. By this way we can bring down human efforts needed to outline meter readings which are till now recorded by visiting every home individually. As a result, the consumption patterns at the utilities are studies and load analysis is made so that this can help in maintaining other systems associated with energy management. To study and analyze the load consumption patterns, simulations were carried out in MATLAB. By this way an estimate on the energy consumption can be made and thus have a control on its usage.
The emergence of decentralized energy production pushes the deployment of smart-grid solutions. While the availability of fine-grained consumption data via smart-meter measurements provides several advantages for energy providers (e.g., grid automation, accurate forecasts), they also raise concerns about the privacy of the users. In this paper we present an efficient and privacy- aware communication protocol for future smart-grid solutions. The protocol is based on secure multi-party computation (SMC) and allows deducing the aggregated consumption data of a group of smart meters without disclosing the consumption data of individual smart meters. Moreover, by using a special initialization phase the communication effort is significantly reduced compared to classical SMC-based approaches. For aggregating the consumption data of 100 smart meters, our proposed protocol requires less than one second when assuming a communication bandwidth of 100, kbits/s.
The increasing penetration of low carbon technologies and electric vehicles is expected to place a considerable burden to Low Voltage (LV) power distribution networks. The previously passive management of LV networks will no longer be sustainable to cope with this growth. A more proactive approach is required to manage LV networks, usually achieved by using Power System State Estimation (PSSE) tools. The effective use of PSSE tools however, requires accurate reporting of each LV network's topology and configuration of assets (cables) that compose it. This paper presents a method for ongoing accuracy improvement of the LV networks topologies, by automating the process of approximating missing cable information and validating the network architectures. The method proposed was derived based on the assumptions that a specific network infrastructure was selected to meet a certain distributed customer loading requirement. The results obtained agrees with the assumptions, providing also a mechanism that scores the confidence level for the choices made to approximate any missing asset information.
Several applications require a distributed measurement system able to measure the same or different parameters at different points in a wide area. In recent years, a wide variety of solutions have been proposed for the remote measurement and data transmission. In this paper an architecture of a real- time energy management is presented. It provides several Smart Meters, that continuously monitor connected loads and communicate with a Smart Concentrator via CAN bus. The main task of SC is to temporarily store the data forwarded from a single Smart Meters, in order to make this information available for HTTP request/response. The paper illustrates the hardware architecture, discusses the adopted communication protocol solutions and is completed with an example of energy monitoring for a smart utility through a Web-based application.
In this paper the Non-Intrusive Appliance Load Monitoring (NALM) will be described as a technique to improve the current smart meter systems. The development and verification of a measurement system is described. With that system it is possible to simulate and measure the energy consumption of appliances in residential buildings. These measurements are used to develop and verify the disaggregation algorithms for the event detection and the classification. A first event detection algorithm, based on the calculation of the difference values of the power signals is presented. A comparison with another algorithm is shown. The usefulness of that algorithm for the event detection is discussed at the end of the paper.
The goal of that paper is to show a possibility for the disaggregation of electrical appliances in the power profile of residential buildings. The advantage is that the measurement system is at a central point in the household. So the installation effort decrease. For the disaggregation of the appliances out of the load curve, an approach for the development of a system based on pattern recognition is presented. One method for the classification of appliances is to use Artificial Neural Network. This idea is the main part of that paper. It is shown a method, to classify one kind of appliances. At the end, the first results and a comparison with the famous approach, for the disaggregation of electrical appliances, from Hart is presented.
Smart meter (SM) measurements provide near realtime information on the electricity consumption of a user to the utility provider (UP). This data can be used to extract private information on the energy consumption patterns of the user. Assuming that the user has access to an alternative energy source (AES) in addition to the power grid, SM privacy problem is studied from an information theoretic perspective. The energy requirement of the user (input load) at each time instant can be satisfied either from the power grid (output load) or from the AES. It is assumed that the output load can be perfectly tracked by the UP, and the privacy is measured through the information leakage rate. For given average and peak power constraints on the AES, privacy-power function is defined, and its equivalence to the rate-distortion function with a difference distortion measure is shown. Focusing on continuous input loads, the privacy-power function is characterized when there is only peak power limitation on the AES, while the Shannon lower bound is provided for the general case. The bound is shown to be achievable for the exponential input distribution.
Recently, wireless smart meter systems for the life infrastructure such as electricity, gas and water attract much attention. Since radio propagation environments for the smart meter communication in apartment buildings are very complicated, it is difficult to analyze the propagation loss with ray tracing method. This paper proposed a hybrid simulation technique which combines ray tracing and FDTD methods. We first analyzed the radiation from a smart meter in the pipe shaft by FDTD method, and then calculated propagation loss between pipe shafts by ray tracing method. The results obtained by the hybrid technique are compared with those by the ray tracing only and the FDTD only. The hybrid method can extend analyzable area in the apartment building and is effective to obtain results close to FDTD method.
Smart meter systems are being deployed to improve grid reliability and promote energy efficiency while providing improved services to their customers. Smart metering which is installed in millions of households worldwide provides utility companies with real-time meaningful and timely data about electricity consumption and allow customers to make informed choices about energy usage. Smart meter data analytics has become an active area in research and industry. It aims to help utilities and consumers understand electricity consumption patterns. This paper provides analysis methods for load data including: analysis of daily load profiles and similarity between them, analysis of load density, and analysis of seasonal and irregular components in the load time series. We evaluate our approach by analyzing smart meter data collected from 1000 households in Poland at a 15-minute granularity over a period of one year.
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