Effective metering data aggregation for smart grid communication infrastructure (original) (raw)
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A Scalable Communication Architecture for Advanced Metering Infrastructure
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A lot has been said about different techniques of aggregating data in a smart grid communications. What is yet to be extensively explored is the concept of smart grid application in Nigeria's power sector. The smart grid can exchange data about current electricity status, pricing data and control commands in real-time. Due to these specific characteristics, the process of electricity’s generation, transmission and distribution in the smart grid environment can be managed efficiently and reliably. However, smart grid technology may not be right for all power networks due to requirement for substantial resources. This work has studied the data aggregation scheme in smart grid communication, which is characterized by the review of previous studies that have proposed data aggregation structures for smart grid communications, and was evaluated using the benefit of proposed data aggregation scheme and its impact on smart grid structure as well as its potential limitations. The usage of neural networks was employed for the detection, classification and location of faults on transmission lines. The method employed made usage of the phase voltages and phase currents (scaled with respect to their pre-fault values) as inputs to the neural networks. To simulate the various faults model and to obtain the training data set, MATLAB R2015a was used along with the SimPowerSystems toolbox in Simulink. The performance of the model was analyzed using Mean Square Error (MSE). It was observed that the configuration for the chosen ANN was 6 – 10 – 5 – 3 – 1 and the number of iterations required for the training process were 37. It can be seen that the mean square error in fault detection achieved by the end of the training process was 9.43e-5 and that the number of validation check fails were zero by the end of the training process. More so, the configuration for the chosen ANN for fault location was 6-7-1 with 5 iterations required for the training process.
Communication System Design for an Advanced Metering Infrastructure
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This paper primarily deals with the design of an Information and Control Technology (ICT) network for an advanced metering infrastructure (AMI) on the IEEE 34 node radial distribution network. The application is comprised of 330 smart meters deployed in the low voltage system and 33 data concentrators in the medium voltage system. A power line carrier (PLC) communication system design is developed and simulated in Network Simulator 3 (NS-3). The simulation result is validated by comparing the communication network performance with the minimum performance requirements for AMI. The network delay of a single data frame is calculated and compared with the simulation delay. The design methodology proposed in this article may be used for other smart grid applications. The secondary goal is to provide AMI network traffic based on the IEC Std. 61968 and a discussion on whether or not AMI could possibly be a source of big data on the future power grid.
Advanced Metering Infrastructure in Smart Grid: A Feasibility Study
As Advanced Metering Infrastructure (AMI) is responsible for collecting, measuring, and analyzing energy usage data, as well as transmitting these information from a smart meter to a data concentrator and then to a headend system in the utility side, the security of AMI is of great concern in the deployment of Smart Grid (SG). In this paper, we analyze the possibility of using data stream mining for enhancing the security of AMI through an Intrusion Detection System (IDS), which is a second line of defense after the primary security methods of encryption, authentication, authorization, etc. We propose a realistic and reliable IDS architecture for the whole AMI system which consists of individual IDSs for three different levels of AMI's components: smart meter, data concentrator, and AMI headend. We also explore the performances of various existing state-of-the-art data stream mining algorithms on a publicly available IDS dataset, namely, the KDD Cup 1999 dataset. Then, we conduct a feasibility analysis of using these existing data stream mining algorithms, which exhibits varying levels of accuracies, memory requirements, and running times, for the distinct IDSs at AMI's three different components. Our analysis identifies different candidate algorithms for different AMI components' IDSs respectively.
Analysis of state-of-the-art smart metering communication standards
status: published, 2010
Currently, utility companies in Europe are trying to overcome new challenges, such as generation diversification, greenhouse gas emissions regulation, energy conservation, demand response and a new liberalized market system. It is clear that these cannot be resolved with the current infrastructure. A next-generation grid, commonly referred to as "the smart grid" is expected to be the solution to these issues. Effectively, a smart grid is the convergence of ICT with power systems engineering. A lot of ideas and techniques concerning smart grids are already in use, albeit quite isolated (such as IEDs (Intelligent Electronic Devices), "supervisory control and data acquisition" (SCADA) and AMR (Automated Meter Reading)) and thus can't be considered a breakthrough. For a grid to be "smart", a well designed layer of intelligence placed over the assets of a utility should provide the basis for new fundamental grid applications. For example, demand response and VPPs (virtual power plants) would require tight integration of smart meters, home networks and distribution transformers or substations. This illustrates the importance of an appropriate communication infrastructure on multiple levels. In this paper an architectural overview of the smart grid is presented along with an overview of existing ICT standards related to the smart grid.
Paving the road toward Smart Grids through large-scale advanced metering infrastructures
Electric Power Systems Research, 2015
Upgrading current electricity grid to the so-called Smart Grid represents one of the major engineering challenges ever. Hence, the road toward the Smart Grid will be long and needs to be paved gradually, certainly driving the next wave of research and innovation in both the energy and the ICT (Information and Communications Technologies) sectors. Currently, the earliest stages of such a complex project are being undertaken and AMI (Advanced Metering Infrastructures) stand out as the first steps toward the Smart Grid. The Spanish R&D (Research and Development) demonstration project PRICE-GEN aims to be a flagship AMI project at both national and international level. It is focused on increasing the awareness of the status of the low voltage power distribution network through an optimal and interoperable communications architecture which provides detailed information on customers' consumption and generation. The project entails the deployment of over 200,000 smart meters in the area of Madrid, such a pilot scheme being also used as reference in other European R&D projects, such as the IGREENGrid (Integrat-inG Renewables in the European Electricity Grid). This paper presents the communications architecture and technologies which are deployed in the field, analyzing how they fit some specific Smart Grid communications requirement. In addition, the paper describes in detail the pilot itself along with the services which are currently been delivered as well as with the foreseen ones. Finally, the main trends in AMI from the ICT perspective are also discussed.