The Experts below are selected from a list of 72783 Experts worldwide ranked by ideXlab platform
Adesh Kumar - One of the best experts on this subject based on the ideXlab platform.
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wireless sensor network based smart Grid communications cyber attacks intrusion detection system and topology control
Electronics, 2017Co-Authors: Lipi Chhaya, Paawan Sharma, Govind Bhagwatikar, Adesh KumarAbstract:The existing power Grid is going through a massive transformation. Smart Grid Technology is a radical approach for improvisation in prevailing power Grid. Integration of electrical and communication infrastructure is inevitable for the deployment of Smart Grid network. Smart Grid Technology is characterized by full duplex communication, automatic metering infrastructure, renewable energy integration, distribution automation and complete monitoring and control of entire power Grid. Wireless sensor networks (WSNs) are small micro electrical mechanical systems that are deployed to collect and communicate the data from surroundings. WSNs can be used for monitoring and control of smart Grid assets. Security of wireless sensor based communication network is a major concern for researchers and developers. The limited processing capabilities of wireless sensor networks make them more vulnerable to cyber-attacks. The countermeasures against cyber-attacks must be less complex with an ability to offer confidentiality, data readiness and integrity. The address oriented design and development approach for usual communication network requires a paradigm shift to design data oriented WSN architecture. WSN security is an inevitable part of smart Grid cyber security. This paper is expected to serve as a comprehensive assessment and analysis of communication standards, cyber security issues and solutions for WSN based smart Grid infrastructure.
Omer Tatari - One of the best experts on this subject based on the ideXlab platform.
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boosting the adoption and the reliability of renewable energy sources mitigating the large scale wind power intermittency through vehicle to Grid Technology
Energy, 2017Co-Authors: Yang Lu-zhao, Mehdi Noori, Omer TatariAbstract:The integration of wind energy in the electricity sector and the adoption of electric vehicles in the transportation sector both have the potential to significantly reduce greenhouse gas emissions individually as well as in tandem with Vehicle-to-Grid Technology. This study aims to evaluate the greenhouse gas emission savings of mitigating intermittency resulting from the introduction of wind power through Vehicle-to-Grid technologies, as well as the extent to which the marginal electricity consumption from charging an electric vehicle fleet may weaken this overall environmental benefit. To this end, the comparisons are conducted in seven independent system operator regions. The results indicate that, in most cases, the emission savings of a combination of wind power and Vehicle-to-Grid Technology outweighs the additional emissions from marginal electricity generation for electric vehicles. In addition, the fluctuations in newly-integrated wind power could be balanced in the future using EVs and V2G Technology, provided that a moderate portion of EV owners is willing to provide V2G services. On the other hand, such a combination is not favorable if the Vehicle-to-Grid service participation rate is less than 5% of all electric vehicle owners within a particular region.
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Boosting the adoption and the reliability of renewable energy sources: Mitigating the large-scale wind power intermittency through vehicle to Grid Technology
Energy, 2017Co-Authors: Yang Lu-zhao, Mehdi Noori, Omer TatariAbstract:The integration of wind energy in the electricity sector and the adoption of electric vehicles in the transportation sector both have the potential to significantly reduce greenhouse gas emissions individually as well as in tandem with Vehicle-to-Grid Technology. This study aims to evaluate the greenhouse gas emission savings of mitigating intermittency resulting from the introduction of wind power through Vehicle-to-Grid technologies, as well as the extent to which the marginal electricity consumption from charging an electric vehicle fleet may weaken this overall environmental benefit. To this end, the comparisons are conducted in seven independent system operator regions. The results indicate that, in most cases, the emission savings of a combination of wind power and Vehicle-to-Grid Technology outweighs the additional emissions from marginal electricity generation for electric vehicles. In addition, the fluctuations in newly-integrated wind power could be balanced in the future using EVs and V2G Technology, provided that a moderate portion of EV owners is willing to provide V2G services. On the other hand, such a combination is not favorable if the Vehicle-to-Grid service participation rate is less than 5% of all electric vehicle owners within a particular region.
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Light-duty electric vehicles to improve the integrity of the electricity Grid through Vehicle-to-Grid Technology: Analysis of regional net revenue and emissions savings
Applied Energy, 2016Co-Authors: Mohammed Noori, Stephanie Gardner, Nuri Cihat Onat, Yang Lu-zhao, Omer TatariAbstract:Vehicle to Grid technologies utilize idle EV battery power as a Grid storage tool to meet fluctuating electric power demands. Vehicle to Grid systems are promising substitutes for traditional gas turbine generators, which are relatively inefficient and have high emissions impacts. The purpose of this study is to predict the future net revenue and life cycle emissions savings of Vehicle to Grid technologies for use in ancillary (regulation) services on a regional basis in the United States. In this paper, the emissions savings and net revenue calculations are conducted with respect to five different Independent System Operator/Regional Transmission Organization regions, after which future EV market penetration rates are predicted using an Agent-Based Model designed to account for various uncertainties, including regulation service payments, regulation signal features, and battery degradation. Finally, the concept of Exploratory Modeling and Analysis is used to estimate the future net revenue and emissions savings of integrating Vehicle to Grid Technology into the Grid, considering the inherent uncertainties of the system. The results indicate that, for a single vehicle, the net revenue of Vehicle to Grid services is highest for the New York region, which is approximately $42,000 per vehicle on average. However, the PJM region has an approximately $97 million overall net revenue potential, given the 38,200 Vehicle to Grid-service-available electric vehicles estimated to be on the road in the future in the PJM region, which is the highest among the studied regions.
Taeseok Yong - One of the best experts on this subject based on the ideXlab platform.
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Dynamic characteristics of smart Grid Technology acceptance
Energy Procedia, 2017Co-Authors: Chan Kook Park, Hyun Jae Kim, Taeseok YongAbstract:Abstract Smart Grid projects are being actively promoted globally for green growth. There is the consumer acceptance among factors that make smart Grid business effective. Many studies have emphasized the importance of smart Grid consumer acceptance and examined the factors that influence the acceptance. However, almost studies did not observe how smart Grid acceptance changes from a dynamic perspective. This study aims to contribute to smart Grid acceptance research by examining dynamic characteristics related to the acceptance. As a result of this study, we found that it is important to manage the risk of smart Grids and we should try to minimize the gap between expectation and satisfaction. Also, we should maintain the balance of benefits and reductions of smart Grid technologies.
John Thøgersen - One of the best experts on this subject based on the ideXlab platform.
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exploring private consumers willingness to adopt smart Grid Technology
International Journal of Consumer Studies, 2015Co-Authors: Madeleine Broman Toft, John ThøgersenAbstract:The goal of radically increasing the proportion of electricity generated from renewable sources puts the current electrical Grid under pressure and one of the solutions is to turn the Grid into a ‘Smart Grid’. One of the key elements of the Smart Grid is that electricity consumers make some of their consumption available as flexible capacity to balance the Grid. Consumers’ flexible capacity is only available to the Grid if the consumers adopt Smart Grid Technology (SGT) that establishes the link between the electric system and the consumer. This Technology is new to private consumers and using it involves behavioural changes. There is a need to get more insight into who are willing to adopt SGT and why. This study draws on innovation adoption theory as a framework for understanding consumer adoption of this new Technology. We explore whether consumers who have already adopted other types of new energy Technology, such as a geothermal heat pump, are more favourably disposed towards SGT than other consumers. Also, we explore how consumers who have signed up to let their heat pump be used as flexible capacity in a test trial differ from other heat pump owners, if at all. We used semi-structured interviews with household members as well as a questionnaire to explore differences between three groups: households with (1) a heat pump with SGT (n = 11), (2) a heat pump-only (n = 7), or (3) an oil-fired boiler (n = 6). We find that the families in the three groups perceive the Technology characteristics differently and those who have trial experience with SGT are most in favour of the Technology.
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Responsible Technology acceptance: Model development and application to consumer acceptance of Smart Grid Technology
Applied Energy, 2014Co-Authors: Madeleine Broman Toft, Geertje Schuitema, John ThøgersenAbstract:As a response to climate change and the desire to gain independence from imported fossil fuels, there is a pressure to increase the proportion of electricity from renewable sources which is one of the reasons why electricity Grids are currently being turned into Smart Grids. In this paper, we focus on private consumers’ acceptance of having Smart Grid Technology installed in their home. We analyse acceptance in a combined framework of the Technology Acceptance Model and the Norm Activation Model. We propose that individuals are only likely to accept Smart Grid Technology if they assess usefulness in terms of a positive impact for society and the environment. Therefore, we expect that Smart Grid Technology acceptance can be better explained when the well-known Technology acceptance parameters included in the Technology Acceptance Model are supplemented by moral norms as suggested by the Norm Activation Model. We tested this proposition by means of an online survey of Danish (N=323), Norwegian (N=303) and Swiss (N=324) private consumers. The study confirms that adding personal norms to the independent variables of the Technology Acceptance Model leads to a significant increase in the explained variance in consumer acceptance of Smart Grid Technology in all three countries.
Gleb A Prankevich - One of the best experts on this subject based on the ideXlab platform.
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the sub gramians method as a tool for smart Grid Technology
IFAC-PapersOnLine, 2016Co-Authors: Igor B Yadykin, A B Iskakov, Dmitry E Kataev, Natalya G Kiryanova, Gleb A Prankevich, Andrey GrobovoyAbstract:Abstract: In this paper we discuss an application of the spectral decompositions of Gramians for the small-signal and transient stability analysis of electric power systems. Eigen-parts in these decompositions were named sub-Gramians . A theoretical comparison of the sub-Gramian method with other methods of modal analysis is provided. In order to demonstrate the potential of using the sub-Gramian method we apply it to the small-signal stability analysis of the IEEE 57-bus test model and compare it with the standard method of using eigenvalues.
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the sub gramians method as a tool for smart Grid Technology
IFAC-PapersOnLine, 2016Co-Authors: Igor B Yadykin, A B Iskakov, Dmitry E Kataev, Natalya G Kiryanova, Gleb A Prankevich, Andrey GrobovoyAbstract:Abstract: In this paper we discuss an application of the spectral decompositions of Gramians for the small-signal and transient stability analysis of electric power systems. Eigen-parts in these decompositions were named sub-Gramians . A theoretical comparison of the sub-Gramian method with other methods of modal analysis is provided. In order to demonstrate the potential of using the sub-Gramian method we apply it to the small-signal stability analysis of the IEEE 57-bus test model and compare it with the standard method of using eigenvalues.
