An intelligent agent-based distributed architecture for Smart-Grid integrated network management

García, Andrés Boza; Oliver, Juan A.; Gosch, David

doi:10.1109/lcn.2010.5735673

Cited by 28 publications

(17 citation statements)

References 3 publications

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“…García et al [29] put forward a distributed software architecture that aims to manage the different devices that can be found in a Smart Grid. The authors claim that there is a need for Integrated Network Management that can be provided via software agents.…”

Section: Iap-inmsmentioning

confidence: 99%

Middleware Architectures for the Smart Grid: Survey and Challenges in the Foreseeable Future

et al. 2013

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Abstract:The traditional power grid is just a one-way supplier that gets no feedback data about the energy delivered, what tariffs could be the most suitable ones for customers, the shifting daily needs of electricity in a facility, etc. Therefore, it is only natural that efforts are being invested in improving power grid behavior and turning it into a Smart Grid. However, to this end, several components have to be either upgraded or created from scratch. Among the new components required, middleware appears as a critical one, for it will abstract all the diversity of the used devices for power transmission (smart meters, embedded systems, etc.) and will provide the application layer with a homogeneous interface involving power production and consumption management data that were not able to be provided before. Additionally, middleware is expected to guarantee that updates to the current metering infrastructure (changes in service or hardware availability) or any added legacy measuring appliance will get acknowledged for any future request. Finally, semantic features are of major importance to tackle scalability and interoperability issues. A survey on the most prominent middleware architectures for Smart Grids is presented in this paper, along with an evaluation of their features and their strong points and weaknesses.

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Section: Iap-inmsmentioning

confidence: 99%

Middleware Architectures for the Smart Grid: Survey and Challenges in the Foreseeable Future

et al. 2013

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“…The tradeoff between reliability and cost needs to be analyzed to obtain the optimal decision on network design. Networking middleware : as stated in Section 7, interoperability is a significant issue for data communications in a heterogeneous smart grid communication environment. To deal with the interoperability problem, networking middleware can be developed to provide convergence among heterogeneous technologies . With networking middleware, there will be an interface between applications and communications protocols, improving the flexibility of system and network integration. Service‐oriented networking : data sensing and communications in the smart grid can be designed and implemented on the basis of a service‐oriented architecture .…”

Section: Open Issues and Challengesmentioning

confidence: 99%

Smart grid sensor data collection, communication, and networking: a tutorial

Kayastha

Niyato

Hossain

et al. 2012

Wireless Communications

121

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The smart grid is an innovative energy network that will improve the conventional electrical grid network to be more reliable, cooperative, responsive, and economical. Within the context of the new capabilities, advanced data sensing, communication, and networking technology will play a significant role in shaping the future of the smart grid. The smart grid will require a flexible and efficient framework to ensure the collection of timely and accurate information from various locations in power grid to provide continuous and reliable operation. This article presents a tutorial on the sensor data collection, communications, and networking issues for the smart grid. First, the applications of data sensing in the smart grid are reviewed. Then, the requirements for data sensing and collection, the corresponding sensors and actuators, and the communication and networking architecture are discussed. The communication technologies and the data communication network architecture and protocols for the smart grid are described. Next, different emerging techniques for data sensing, communications, and sensor data networking are reviewed. The issues related to security of data sensing and communications in the smart grid are then discussed. To this end, the standardization activities and use cases related to data sensing and communications in the smart grid are summarized. Finally, several open issues and challenges are outlined. Copyright © 2012 John Wiley & Sons, Ltd.

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“…This paper presents an improvement of the previous methods from single voltage sag measurement to multiple numbers of measurements. The improvement is important because, nowadays, distribution network are not only monitored at one point but there is possibility at multiple points, especially for smart‐grid applications [24]. The improvements include new ranking reasoning and fault distance estimation.…”

Section: Introductionmentioning

confidence: 99%

A generalized fault location method based on voltage sags for distribution network

Awalin

Mokhlis

Bakar

et al. 2013

IEEJ Transactions Elec Engng

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An enhanced fault location method based on voltage sag profiles for distribution networks is presented in this paper. In other previous methods, only a single measurement has been used. The proposed method can be used with any number of measurements in the network, making it more general. A new ranking approach that addresses multiple possibilities of the faulted section is proposed. Different case studies with various numbers of measurements are performed on a large 11‐kV network with the main feeder consisting of 42 buses to validate the method. The test results show that there is an improvement in terms of accuracy in detecting the faulted section in the first attempt for each additional measurement. Therefore, by utilizing the average value of each measurement, a better accuracy of fault location can be achieved. © 2013 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

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An intelligent agent-based distributed architecture for Smart-Grid integrated network management

Cited by 28 publications

References 3 publications

Middleware Architectures for the Smart Grid: Survey and Challenges in the Foreseeable Future

Middleware Architectures for the Smart Grid: Survey and Challenges in the Foreseeable Future

Smart grid sensor data collection, communication, and networking: a tutorial

A generalized fault location method based on voltage sags for distribution network

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