Smart grid analytics is the application of advanced analytics methodologies to the data including predictive and prescriptive analytics, forecasting and optimization. Aggregation and access control architecture privacyprotected aggregation at different levels like han, ban, nan, transmitting to rtu and then providing access control of the data stored at the data. Apr 28, 2017 a smart grid is an intelligent electricity grid that optimizes the generation, distribution and consumption of electricity through the introduction of information and communication technologies on the electricity grid. Aggregation and access control architecture privacyprotected aggregation at different levels like han, ban, nan, transmitting to rtu and then providing access control of the data stored at the data repository. To protect the privacy of metering data, efthymiou et al. Grid integration of microgrids for increased resiliency and faster recovery of supplies. We present an innovative protocol combining innetwork data aggregation. Nayak, a decentralized security framework for data aggregation and access control in smart grids, ieee trans.
To ensure security and protect privacy in the smart grid environment, several data aggregation schemes have been proposed in recent years. Applications of data analytics to powerenergy applications, such as demand. Lightweight data aggregation scheme against internal. Strong focus on intelligence distribution to increase local lv smart grid control. This symposium will consider how data can be collected and processed from the smart grid, energy internet, and related cyberphysical systems. Big data analysisbased secure cluster management for optimized control plane in softwaredefined networks. In 16, a data aggregation points placement problem is investigated. Private computation of spatial and temporal power consumption with smart meters, acns 2012. As smart grid is regarded as a revolutionary technology for the next generation power system with intelligent operations on power management, smart grid communication sgc has been calling much. In this way, our approach supports efficient data aggregation in smart grids. A dynamic membership data aggregation dmda protocol for smart grid.
The characterizations of big data, smart grids as well as huge amount of data. Fog computing has enabled the extension of cloud computing functions to the network edge by assisting the cloud and users in terms of communication, computation, and storage with a widely spread deployment of edge devices or fog nodes. Abb group abb group automation and power technologies is one of the leaders in power and automation technologies. Index termsadvanced metering infrastructure ami, data aggregation, smart grid sg, smart meter sm. Secure and private data aggregation for energy consumption. The sdn concept is an ideal concept whose benefits can be observed in the smooth and much improved performances from management, reconfiguration and the wireless communication between the sdn controller and the sdn switches.
Fogenabled secure data aggregation in smart grid iot. As grid edge hardware and software becomes more widely adopted, they create new business opportunities in areas such as consumer analytics, thirdparty ownership and control like. We propose an integrated architecture for smart grids, that supports data aggregation and access control. The software defined network sdn concept has been proposed to be utilized in the traditional. Applications of data analytics to smart grid applications, such as demand response and demand side management should be considered. This paper proposes a smart grid data aggregation and regulation mechanism based on consortium blockchain, and its signcryption algorithm can be applied to multidimensional data acquisition and multiple receivers in the consortium blockchain. Dbkda 2020, the twelfth international conference on advances in databases, knowledge, and data applications.
Comparing with traditional privacypreserving data aggregation scheme, dmda is more suitable for nextgeneration smart grid and other internet of things environments. Energy 2020, the tenth international conference on smart. Smart grid is defined as an intelligent network based on new technologies, sensors and equipments to manage wide energy resources and to enhance the reliability. Grid architecture is also combined with energy management software for estimating the energy consumption and its associated cost for a specific enterprise. All widgets are open source and free to use under mit license.
In order to protect the privacy of individual data, meantime guaranteeing the utility of big data, the privacy preserving data aggregation is widely researched, which is a feasible solution since it. In this work, we are particularly interested in securing data aggregation in the advanced metering infrastructure ami in smart grid systems. Analytics enhance smart grid operations, empowering you to make better decisions based on usage patterns, and to securely grow your network. At the end, open research issues are highlighted and discussed. In this work, we are particularly interested in securing data aggregation in the advanced metering infrastructure ami in. Other interesting developments on the consumer side of the smart grid are web portals and dashboards that present aggregated power usage data in ways a layperson can understand.
However, the channel characteristic of plc is not considered in this work. Globema delivers specialized software solutions that support the construction and maintenance of smart grids, featuring optimal distribution network infrastructure management, advanced technical. Abstractin smart grid systems, secure innetwork data aggregation approaches have been introduced to ef. Introduction wireless sensor networks wsns are a potential candidate in the transition from the actual grid to the smart grid sg, where the integration of renewable energy resources, energy ef. A privacyenhancing protocol that provides innetwork data aggregation and verifiable smart meter billing abstract. Preserving data aggregation approach for the smart grid, ad hoc networks 2017, doi. The opportunities for smart grid analytics are expanding because theres exponentially more data available to develop analytical models. In a secured smart grid ami environment, congestion management during data aggregation with security encryption for privacy preservation is a challenging. Flexible regulation of smart grid is vital for grid operation. Atos smart grid suite connected smart grid futures ready. In this work, a software defined networking sdn based smart grid communication sgc scheme is introduced to fulfill the information transmission requirement, where the control plane is separated from the data plane to support diverse. The ieee smart grid newsletter compendium smart grid.
Data integration techniques aim to aggregate data collected from. Subscribe to smart grid today to receive daily executive news briefings on emerging trends, applications, and policies driving electric utility grid modernization. However, most of them are not secure against internal attackers. Providing a wide number of capabilities including data editing and validation, searching and filtering, layout customization, data grid is a perfect choice for any modern business application.
The software defined network sdn concept has been proposed to be utilized in the traditional wireless sensor network wsn applications such as internet of things iots, traffic engineering and smart grid, etc. Primeng table is an angular component for presenting large and complex data. Not only can the smart grid not operate without software, advances in software are critical to adding value to smart grid deployments and most top software firms and quite a few startups are working hard to win big in the growing smart grid industry. The smart grid architecture is depicted in figure 1. Atos smart grid suite connected smart grid futures ready for. Each smart meter encrypts 21 smart meter 1 smart meter 2 smart meter n.
The widespread deployment of smart meters for electricity gas and water consumption to modernise the electricity systems, has been associated with privacy concerns. Privacypreserving dataaggregation for internetofthings. Costefficient approximation algorithm for aggregation. Oct 11, 2019 smart grid is in need of an efficient communication network to guarantee reliable twoway data transmission between the control center and smart meters sms. It leads to an integer program problem for advanced metering infrastructure and a k. In a secured smart grid ami environment, congestion management during data aggregation with security encryption for privacy preservation is a challenging issue. Multidimensional data aggregation scheme for smart grid with. A privacyenhancing protocol that provides innetwork data.
Big data extensions based on smart metering data, iot, multi sided market, revenue protection, energy efficiency services. Smart grid security mechanism should be enforced at several layers including physical and logical layers. Consortium blockchain based data aggregation and regulation mechanism for smart grid abstract. Besides, in order to adapt to the dynamic smart grid system, the threshold for aggregation is adjusted according to the energy consumption information of each particular residential area and. Smart grid is proposed to solve all challenges of future electricity supply. Smart grid is in need of an efficient communication network to guarantee reliable twoway data transmission between the control center and smart meters sms. In this paper, we present protocols that can be used to privately compute aggregate meter measurements, allowing for fraud and leakage detection as well as further statistical processing of meter measurements, without. Lightweight and efficient privacypreserving data aggregation approach for the smart grid. Distributed energy resource management system derms oati. Over the last few years, we have seen the emergence of a wide range of smart grid architectures, technologies, and applications made possible by the significant improvements in hardware, software. Grid architecture is also combined with energy management software for estimating the energy. By introducing data communication network schemes into the advanced metering infrastructure ami, network traffic congestion and service rates can be improved while preserving users privacy from the grid operators end. Smart grid data management improves utility system operation. Use of antivirus and antispyware software throughout the smart grid applications can help to detect.
An overview of privacypreserving data aggregation in smart. A comparison of data aggregation techniques in software defined wireless sensor network abstract. Over the last few years, we have seen the emergence of a wide range of smart grid architectures, technologies, and applications made possible by the significant improvements in hardware, software, and networking technologies. Efficient privacypreserving cubedata aggregation scheme for. Aggregator combines the encrypted readings can decrypt the sum of readings cant decrypt the individual modified paillier. Costefficient approximation algorithm for aggregation points. Data aggregation in smart grid ami network for secure transfer of. Privacypreserving authentication and data aggregation for fogbased smart grid. In order to protect the privacy of individual data, meantime guaranteeing the utility of big data, the privacy preserving data aggregation is widely researched, which is a feasible solution since it not only preserves the statistical feature of the original data, but also masks single users data. A dynamic membership data aggregation dmda protocol for. Not only can the smart grid not operate without software, advances in software are critical to adding value to smart grid deployments and most top software firms and quite a few startups are. Implementation of privacyfriendly aggregation for the smart grid.
Here you will find some beautiful smart grid companies and startups. Section ii emerging communication networks for smart cities 171. Pdf a dynamic membership data aggregation dmda protocol. Privacypreserving authentication and data aggregation for. Energy 2020, the tenth international conference on smart grids, green communications and it energyaware technologies. Primeng is a collection of rich ui components for angular. Secure and private data aggregation for energy consumption scheduling in smart grids.
Energy 2020 the tenth international conference on smart grids, green communications and it energyaware technologies. Overview of data aggregation schemes in a smart grid ami network. Recent advances of internet and microelectronics technologies have led to the concept of smart grid which has been a widespread concern for industry, governments, and academia. A security architecture for data aggregation and access. Data can be aggregated by home area network, building. The next decade is the first of its kind promotional compilation featuring 32 best of the best insightful articles from recent issues of the ieee smart grid newsletter and will be the goto resource for industry professionals for years to come.
Department of software and information systems, university of north carolina at. The next decade is the first of its kind promotional compilation featuring 32 best of the best insightful articles from recent issues of the. One of the challenges that has emerged in the smart grid environment is the privacy of smart grid users. The data aggregation network on the left side of figure 1. Nevertheless, it is also important to maintain the integrity of aggregate data in the presence of accidental errors and internalexternal attacks. As a result of these aforementioned benefits, the proposed lightweight data aggregation scheme is more practical for deployment in the smart grid environment. In smart grid systems, secure innetwork data aggregation approaches have been introduced to efficiently collect aggregation data, while preserving data privacy of individual meters.
Efficient privacypreserving cubedata aggregation scheme. Lightweight and efficient privacypreserving data aggregation. Efficient data processing techniques for all kinds of smart grid data, including smart meters, phasor measurement unit measurements, grid status reports, etc should be discussed. Privacypreserving and efficient aggregation based on. Smart grid analytics enable utilities to more rapidly and effectively address issues regarding improved grid operations, customer engagement, and financial management.
Examples of physical layer security include installation of fence, video surveillance, and alert system. Jan 11, 2019 besides, in order to adapt to the dynamic smart grid system, the threshold for aggregation is adjusted according to the energy consumption information of each particular residential area and the time period, which can support faulttolerance while ensuring individual data privacy during aggregation. The university of hawaii at manoa was tasked with maintaining a data science repository for use by analysts of the maui smart grid energy sustainability project through the hawaii natural energy institute. Sep 11, 2017 as grid edge hardware and software becomes more widely adopted, they create new business opportunities in areas such as consumer analytics, thirdparty ownership and control like rooftop solar companies, and aggregation for wholesale market participation this will enable, for example, local communities to unite to buy energy at. Efficient data processing techniques for all kinds of powerenergy data, including from smart meters and phasor measurement units, grid status reports, etc. Physically, smart grid systems and component must be secured from harm, tempering, theft, vandalism, and sabotage. Overview of data aggregation schemes in a smart grid ami. Smart grid data management improves utility system operation reduce the cost and complexity of phasor measurement unit pmu technology while increasing scalability and lowering risk. Successful smart grids manage large volumes of fastchanging data. Privacyfriendly aggregation for the smartgrid microsoft. Devextreme angular data grid devextreme html5 javascript data grid is a responsive grid widget available as an angular component. Preserving data integrity for smart grid data aggregation. Efficient data processing techniques for all kinds of.
Data aggregation in smart grid ami network for secure. In 19, the placement of data aggregation services in smart grid communication network is investigated, where the authors developed a minimumcostforwardingbased asynchronous distributed algorithm to. Aggregator combines the encrypted readings can decrypt the sum of readings cant decrypt the individual modified paillier scheme gateway aggregator erkin et al. In essence, smart grids bring profound changes in the information systems that drive them. A comparison of data aggregation techniques in software. Secure information aggregation for smart grids using.
Web 2020, the eighth international conference on building and exploring web based environments. A secure data aggregation and dispatch scheme for home area. Privacypreserving dataaggregation for internetofthings in. An anonymous data aggregation scheme for smart grid. Data aggregation da is the process of combining smart metering data so that it can be sent to a control center in package form rather than as individual data points. Generally, electricity prices increase along with demand. Eppa is based on the homomorphic paillier cryptosystem such that the gateway can aggregate the consumer record without encryption and decryption operations.
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