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Design, Analysis and Evaluation of Control Algorithms for Applications in Smart Grids [article]

Christian Hinrichs, Michael Sonnenschein
2015 arXiv   pre-print
an integrated methodology comprising both the Smart Grids Architecture Model framework (SGAM) and the Smart Grid Algorithm Engineering process model (SGAE).  ...  Along the way, a taxonomy of evaluation criteria and evaluation methods for such approaches is presented.  ...  Regarding our focus on heuristic approaches for Smart Grid applications in this contribution, the simulation model then comprises both the heuristic under evaluation and the environment this heuristic  ... 
arXiv:1506.03663v1 fatcat:ar75unh6mve2pchxsvrpsg7mrq

Multi-Agent-based Distributed Optimization for Demand-Side-Management Applications

Tim Dethlefs, Thomas Preisler, Wolfgang Renz
2014 Proceedings of the 2014 Federated Conference on Computer Science and Information Systems  
This is one of the tasks of the aggregator role in smart grid operation according to the Smart Grid Architecture Model (SGAM).  ...  Dynamic and volatile grid conditions caused by the growing amount of renewable energy producers require the operation of large-scale distributed Demand-Side Management (DSM) applications.  ...  An interesting overview about the lastest applications of MAS in the smart grid context is given in [24] . III.  ... 
doi:10.15439/2014f251 dblp:conf/fedcsis/DethlefsPR14 fatcat:4rjyt56krbgz5gu6lhkh5o2enm

Context-Awareness Using Anomaly-Based Detectors for Smart Grid Domains [chapter]

Cristina Alcaraz, Lorena Cazorla, Gerardo Fernandez
2015 Lecture Notes in Computer Science  
The result of this investigation is a guideline for the construction of preventive solutions that will help improve the context-awareness in the control of Smart Grid domains in the near future.  ...  Anomaly-based detection applied in strongly interdependent systems, like Smart Grids, has become one of the most challenging research areas in recent years.  ...  We therefore explore in this paper those anomaly-based approaches that can be found in the current literature, so as to evaluate their functionalities and applicability in the context of Smart Grids, paying  ... 
doi:10.1007/978-3-319-17127-2_2 fatcat:zbmr2bqzgfb6rlqsh7o4nat7ka

Supporting Renewable Power Supply Through Distributed Coordination of Energy Resources [chapter]

Michael Sonnenschein, Christian Hinrichs, Astrid Nieße, Ute Vogel
2014 Advances in Intelligent Systems and Computing  
We suggest distributed, agent-based and selforganized control algorithms for distributed units in a "Smart Grid" as a promising but challenging solution.  ...  Tools and methods for a comprehensive evaluation of such new Smart Grid control methods in terms of technological indicators as well as sustainability indicators will be the next challenge in research  ...  Additionally, we thank the anonymous reviewers for helpful comments that improved this contribution.  ... 
doi:10.1007/978-3-319-09228-7_23 fatcat:iisc26vvubaenlw7acnn54yumy

GPU Computing for Parallel Local Search Metaheuristic Algorithms

The Van Luong, Nouredine Melab, El-Ghazali Talbi
2013 IEEE transactions on computers  
However, GPU computing for LSMs is rarely investigated in the literature. In this paper, we introduce a new guideline for the design and implementation of effective LSMs on GPU.  ...  Local search metaheuristics (LSMs) are efficient methods for solving complex problems in science and industry.  ...  ACKNOWLEDGMENTS Some experiments presented in this paper were carried out using the Grid'5000 experimental testbed, being developed under the INRIA ALADDIN development action with support from CNRS, RENATER  ... 
doi:10.1109/tc.2011.206 fatcat:7gzvybs6sbb3vp3mqirehgc4za

Review on Scheduling, Clustering, and Forecasting Strategies for Controlling Electric Vehicle Charging: Challenges and Recommendations

Ali Saadon Al-Oagili, Tengku Juhana, Nur Azzammudin Rahmat, Agileswari Ramasamy, Marayati Marsadek, M. Faisal, Mahammad A Hannan
2019 IEEE Access  
This research paper indicates many factors and challenges in the development of EV charging control in next-generation smart grid applications and provides potential recommendations.  ...  grid applications.  ...  smart grid applications.  ... 
doi:10.1109/access.2019.2939595 fatcat:zs5jhzld4rd5dgiodjsatd2o5q

Smart Generation and Transmission With Coherent, Real-Time Data

David E. Bakken, Anjan Bose, Carl H. Hauser, David E. Whitehead, Gregary C. Zweigle
2011 Proceedings of the IEEE  
In recent years much of the discussion involving "smart grids" has implicitly involved only the distribution side, notably advanced metering.  ...  From this, we abstract the baseline requirements for performance and availability of a data delivery system supporting these applications and suggest implementation guidelines required to achieve them.  ...  The sensing and control in the smart grid can help this situation. III.  ... 
doi:10.1109/jproc.2011.2116110 fatcat:awd336jj2zbwdmbm4yf6s2ko3q

Optimal Sizing and Energy Management of Microgrids with Vehicle-to-Grid Technology: A Critical Review and Future Trends

Oussama Ouramdane, Elhoussin Elbouchikhi, Yassine Amirat, Ehsan Sedgh Gooya
2021 Energies  
Moreover, MGs are, above all, designed to considerably improve the autonomy, sustainability, and reliability of future electrical distribution grid.  ...  Hence, several research studies have been conducted to investigate the integration of EVs in national power grid and future MGs.  ...  pumps (HP) in future smart grids.  ... 
doi:10.3390/en14144166 fatcat:nrlbsrziejgbtcb5nncj5nv6hm

Fog BEMS: An Agent-Based Hierarchical Fog Layer Architecture for Improving Scalability in a Building Energy Management System

Uikyun Na, Eun-Kyu Lee
2020 Sustainability  
In this way, the BEMS becomes distributed and scalable. However, existing fog computing models have barely considered scenarios where many end devices and fog nodes are deployed and interconnected.  ...  That is, they do not scale up and cannot be applied to scalable applications like BEMS.  ...  The authors in [43] proposed a hierarchical structure of cloud-fog computing for efficient resource management in a smart grid. They evaluated five heuristic algorithms for load balancing.  ... 
doi:10.3390/su12072831 fatcat:dbku3zsxqjejbhtar7rox6mhhi

Evaluation of communication network state estimators for adaptive power-balancing

Mislav Findrik, Rasmus Pedersen, Christoffer Sloth, Hans-Peter Schwefel
2016 Computer Science - Research and Development  
Acknowledgements This paper gives an overview of the main activities of the project iniGrid -Integration of Innovative Distributed Sensors and Actuators in Smart Grids (845018), which was commissioned  ...  Acknowledgements We gratefully acknowledge the finan-cial support from the European Commission in Horizon 2020 and EIT Digital, which provided the environment for com-posing this paper.  ...  architecture for future smart grid applications in Austria.  ... 
doi:10.1007/s00450-016-0312-9 fatcat:wj7jc3hpxrdofpbrud6rfuoqdq

Team Gator Nation's Autonomous Vehicle Development for the 2007 DARPA Urban Challenge

Carl Crane, David Armstrong, Antonio Arroyo, Antoin Baker, Doug Dankel, Greg Garcia, Nicholas Johnson, Jaesang Lee, Shannon Ridgeway, Eric Schwartz, Eric Thorn, Steve Velat (+2 others)
2007 Journal of Aerospace Computing Information and Communication  
This framework provides a means for situation assessment, behavior mode evaluation, and behavior selection and execution.  ...  The architecture is implemented on a system distributed over ten dual-core computers that intercommunicate via the Joint Architecture for Unmanned Systems (JAUS) version 3.2 protocol.  ...  Traditional approaches, such as for example vision processing algorithms to identify lane markings in an image, are modified as needed and integrated into the system.  ... 
doi:10.2514/1.33342 fatcat:syeqb7yhlfgexgeatr2whkt5lm

Security and Privacy Functionalities in IoT

Elahe Fazeldehkordi, Olaf Owe, Josef Noll
2019 2019 17th International Conference on Privacy, Security and Trust (PST)  
In addition, we developed a language-based approach to provide trust, safety, security, and privacy for smart contracts. ii  ...  In order to develop systems including open distributed systems, we need techniques and tools for specification, design, and code generation.  ...  Acknowledgements Acknowledgment This work has been supported by the research project IoTSec, Security in IoT for Smart Grids, with number 248113/O70 part of the IKTPLUSS program funded by the Research  ... 
doi:10.1109/pst47121.2019.8949054 dblp:conf/pst/FazeldehkordiON19 fatcat:x37vqxe35vdtdlo2xebg7beaoa

Efficacy of wind power in mitigation of CO2 emission from the irish electrical grid

Paul Brogan, John Morrow, Robert Best, David Laverty
2014 2014 IEEE PES General Meeting | Conference & Exposition  
This tutorial covers the most recent evolution of smart distribution applications and technologies involved in the smart distribution system.  ...  This tutorial covers the most recent evolution of smart distribution applications and technologies involved in the smart distribution system.  ...  Power System Economics (paper forum) Thursday, 31 July, [2] [3] [4] [5] Micro-Grids & Power System Dynamics (paper forum)  ... 
doi:10.1109/pesgm.2014.6939860 fatcat:y56dfxpqo5erhk76uacwjz2c6y

Cognitive Radio for Smart Grids: Survey of Architectures, Spectrum Sensing Mechanisms, and Networking Protocols

Athar Ali Khan, Mubashir Husain Rehmani, Martin Reisslein
2016 IEEE Communications Surveys and Tutorials  
Traditional power grids are currently being transformed into smart grids (SGs). SGs feature multi-way communication among energy generation, transmission, distribution, and usage facilities.  ...  Index Terms-Advanced metering infrastructure (AMI), communication architecture, cognitive radio network (CRN), smart grid (SG).  ...  The IEEE 802.19.1 standard [149] provides guidelines for wireless coexistence in the TVWS. These guidelines may help in mitigating interference among CR-based AMI/FANs [107] .  ... 
doi:10.1109/comst.2015.2481722 fatcat:rnchxiumhndqho5tlumonfdoxi

A Topical Review on Machine Learning, Software Defined Networking, Internet of Things Applications: Research Limitations and Challenges

Imran, Zeba Ghaffar, Abdullah Alshahrani, Muhammad Fayaz, Ahmed Mohammed Alghamdi, Jeonghwan Gwak
2021 Electronics  
Finally, we discuss challenges and issues in adopting machine learning and software-defined networking for the Internet of Things applications.  ...  One major contribution to the research world is in the form of software-defined networking applications, which aim to deploy rule-based management to control and add intelligence to the network using high-level  ...  Acknowledgments: We acknowledge and Thank Shabir Ahmad and Asif Mehmood for their help and support during research data collection and their valuable recommendations and suggestions.  ... 
doi:10.3390/electronics10080880 fatcat:726xbvypijeohdokejqkk3y444
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