The ieee smart grid newsletter compendium smart grid. Preserving data aggregation approach for the smart grid, ad hoc networks 2017, doi. The characterizations of big data, smart grids as well as huge amount of data. The widespread deployment of smart meters for electricity gas and water consumption to modernise the electricity systems, has been associated with privacy concerns. 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. 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. Data can be aggregated by home area network, building. Secure and private data aggregation for energy consumption scheduling in smart grids. Private computation of spatial and temporal power consumption with smart meters, acns 2012. However, the channel characteristic of plc is not considered in this work.
One of the challenges that has emerged in the smart grid environment is the privacy of smart grid users. Nayak, a decentralized security framework for data aggregation and access control in smart grids, ieee trans. Comparing with traditional privacypreserving data aggregation scheme, dmda is more suitable for nextgeneration smart grid and other internet of things environments. Smart grid analytics is the application of advanced analytics methodologies to the data including predictive and prescriptive analytics, forecasting and optimization. Implementation of privacyfriendly aggregation for the smart grid. A security architecture for data aggregation and access. Smart grid analytics enable utilities to more rapidly and effectively address issues regarding improved grid operations, customer engagement, and financial management. In smart grid systems, secure innetwork data aggregation approaches have been introduced to efficiently collect aggregation data, while preserving data privacy of individual meters. Smart grid is in need of an efficient communication network to guarantee reliable twoway data transmission between the control center and smart meters sms. An overview of privacypreserving data aggregation in smart. 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. Smart grid data management improves utility system operation.
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. Aggregator combines the encrypted readings can decrypt the sum of readings cant decrypt the individual modified paillier scheme gateway aggregator erkin et al. Big data extensions based on smart metering data, iot, multi sided market, revenue protection, energy efficiency services. To ensure security and protect privacy in the smart grid environment, several data aggregation schemes have been proposed in recent years. The data aggregation network on the left side of figure 1. Each smart meter encrypts 21 smart meter 1 smart meter 2 smart meter n. Successful smart grids manage large volumes of fastchanging data. Data aggregation in smart grid ami network for secure transfer of. Atos smart grid suite connected smart grid futures ready. Here you will find some beautiful smart grid companies and startups. 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. Costefficient approximation algorithm for aggregation points.
Privacypreserving authentication and data aggregation for. Eppa is based on the homomorphic paillier cryptosystem such that the gateway can aggregate the consumer record without encryption and decryption operations. Lightweight data aggregation scheme against internal. Data integration techniques aim to aggregate data collected from. In a secured smart grid ami environment, congestion management during data aggregation with security encryption for privacy preservation is a challenging issue. Privacypreserving and efficient aggregation based on. 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. Overview of data aggregation schemes in a smart grid ami. Preserving data integrity for smart grid data aggregation.
Grid integration of microgrids for increased resiliency and faster recovery of supplies. 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. We propose an integrated architecture for smart grids, that supports data aggregation and access control. Web 2020, the eighth international conference on building and exploring web based environments.
Big data analysisbased secure cluster management for optimized control plane in softwaredefined networks. A dynamic membership data aggregation dmda protocol for smart grid. 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. 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. Primeng is a collection of rich ui components for angular. A privacyenhancing protocol that provides innetwork data. 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. 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. As a result of these aforementioned benefits, the proposed lightweight data aggregation scheme is more practical for deployment in the smart grid environment. Abstractin smart grid systems, secure innetwork data aggregation approaches have been introduced to ef.
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. 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. Department of software and information systems, university of north carolina at. Abb group abb group automation and power technologies is one of the leaders in power and automation technologies. Lightweight and efficient privacypreserving data aggregation approach for the smart grid. Privacypreserving authentication and data aggregation for fogbased smart grid. Smart grid security mechanism should be enforced at several layers including physical and logical layers. Multidimensional data aggregation scheme for smart grid with. Grid architecture is also combined with energy management software for estimating the energy. 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. Analytics enhance smart grid operations, empowering you to make better decisions based on usage patterns, and to securely grow your network. In essence, smart grids bring profound changes in the information systems that drive them. In a secured smart grid ami environment, congestion management during data aggregation with security encryption for privacy preservation is a challenging. In 16, a data aggregation points placement problem is investigated.
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. 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. Strong focus on intelligence distribution to increase local lv smart grid control. However, most of them are not secure against internal attackers. Efficient data processing techniques for all kinds of. Physically, smart grid systems and component must be secured from harm, tempering, theft, vandalism, and sabotage. In this work, we are particularly interested in securing data aggregation in the advanced metering infrastructure ami in smart grid systems. Energy 2020 the tenth international conference on smart grids, green communications and it energyaware technologies. Flexible regulation of smart grid is vital for grid operation. The software defined network sdn concept has been proposed to be utilized in the traditional.
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. This symposium will consider how data can be collected and processed from the smart grid, energy internet, and related cyberphysical systems. Index termsadvanced metering infrastructure ami, data aggregation, smart grid sg, smart meter sm. 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. To protect the privacy of metering data, efthymiou et al. 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. 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. Fogenabled secure data aggregation in smart grid iot. All widgets are open source and free to use under mit license. Grid architecture is also combined with energy management software for estimating the energy consumption and its associated cost for a specific enterprise. Efficient privacypreserving cubedata aggregation scheme. Applications of data analytics to smart grid applications, such as demand response and demand side management should be considered. Use of antivirus and antispyware software throughout the smart grid applications can help to detect.
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. 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. 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. Costefficient approximation algorithm for aggregation. A privacyenhancing protocol that provides innetwork data aggregation and verifiable smart meter billing abstract. Privacyfriendly aggregation for the smartgrid microsoft. Energy 2020, the tenth international conference on smart. The opportunities for smart grid analytics are expanding because theres exponentially more data available to develop analytical models. It leads to an integer program problem for advanced metering infrastructure and a k. 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. At the end, open research issues are highlighted and discussed. Atos smart grid suite connected smart grid futures ready for.
Privacypreserving dataaggregation for internetofthings in. Secure information aggregation for smart grids using. 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. Pdf a dynamic membership data aggregation dmda protocol. Smart grid is proposed to solve all challenges of future electricity supply. An anonymous data aggregation scheme for smart grid. Subscribe to smart grid today to receive daily executive news briefings on emerging trends, applications, and policies driving electric utility grid modernization. Consortium blockchain based data aggregation and regulation mechanism for smart grid abstract. Devextreme angular data grid devextreme html5 javascript data grid is a responsive grid widget available as an angular component.
In this work, we are particularly interested in securing data aggregation in the advanced metering infrastructure ami in. Aggregator combines the encrypted readings can decrypt the sum of readings cant decrypt the individual modified paillier. The smart grid architecture is depicted in figure 1. Examples of physical layer security include installation of fence, video surveillance, and alert system. 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. Generally, electricity prices increase along with demand. A comparison of data aggregation techniques in software defined wireless sensor network abstract.
Secure and private data aggregation for energy consumption. Nevertheless, it is also important to maintain the integrity of aggregate data in the presence of accidental errors and internalexternal attacks. 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. Dbkda 2020, the twelfth international conference on advances in databases, knowledge, and data applications. Efficient data processing techniques for all kinds of powerenergy data, including from smart meters and phasor measurement units, grid status reports, etc.
Distributed energy resource management system derms oati. A comparison of data aggregation techniques in software. Efficient privacypreserving cubedata aggregation scheme for. 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. The entire smart grid system is automated for tracking the electricity consumption at all the locations. The next decade is the first of its kind promotional compilation featuring 32 best of the best insightful articles from recent issues of the. Overview of data aggregation schemes in a smart grid ami network.
Globema delivers specialized software solutions that support the construction and maintenance of smart grids, featuring optimal distribution network infrastructure management, advanced technical. 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. A dynamic membership data aggregation dmda protocol for. 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. 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. Energy 2020, the tenth international conference on smart grids, green communications and it energyaware technologies. A secure data aggregation and dispatch scheme for home area. We present an innovative protocol combining innetwork data aggregation. Primeng table is an angular component for presenting large and complex data. Data aggregation in smart grid ami network for secure. Lightweight and efficient privacypreserving data aggregation. 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. In 19, the placement of data aggregation services in smart grid communication network is investigated, where.
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