Test bed evaluation of future power distribution systems with renewable resources

Sathyanarayana, B. R.; Crow, M.L.; Heydt, G.T.; Meng, Fanjun

doi:10.1109/naps.2009.5484098

Cited by 4 publications

(4 citation statements)

References 13 publications

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“…All of these areas entail significant rethought of power distribution engineering, and the concomitant restructuring of power distribution engineering education and training (e.g., [9]). Various test beds have been proposed for this purpose (e.g., [10]). Some of the components needed for electronic control are: • A distribution class unified power flow controller: a flexible AC transmission system device redesigned for distribution service, capable of active and reactive power flow controls in several different operational modes.…”

Section: The Future Power Distribution Systemmentioning

confidence: 99%

Architecture of a smart microgrid distributed operating system

McMillin

Akella

Ditch

et al. 2011

2011 IEEE/PES Power Systems Conference and Exposition

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Distributed operation of microgrid architectures consists of energy management, power management, power electronics management, and fault detection and recovery. Centralized control of microgrids may be conceptually and practically infeasible due to questions of reliability and ownership. A Distributed Operating System architecture is proposed to manage power and computational resources within a smart microgrid, using the FREEDM system architecture as a model. Index Terms-Power electronics, security, distributed computing, decentralized control, future power distribution systems, distribution engineering, direct digital control. Ziang Zhang (StM'07) received the B.S in Automation from Beijing Institute of Technology, Beijing, China, in 2007. In 2009, he received the M.S. from Purdue University Calumet, Hammond, IN. He is currently pursuing the Ph.D. degree with the Advanced Diagnosis Automation and Control Laboratory at North Carolina State University, Raleigh. His research interests include distributed control, multi-agent system and dynamic network. He has received the best paper award on 2009 IEEE EIT conference. (StM'81, M'82, SM'93, F'07) is a Professor at North Carolina State University. His research focuses on fault detection, diagnosis and prognosis, time-sensitive distributed control systems, and computational intelligence. He has been applying his research to areas including smart grids, power distribution systems, transportation systems, batteries, motors, robotics and mechatronics. He is an IEEE Fellow, the Editor-in-Chief of IEEE Transactions on Industrial Electronics, and has received the IEEE Region-3 Joseph M. Biedenbach Outstanding Engineering Educator Award, the IEEE ENCS Outstanding Engineering Educator Award. Mo-Yuen Chow

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Section: The Future Power Distribution Systemmentioning

confidence: 99%

Architecture of a smart microgrid distributed operating system

McMillin

Akella

Ditch

et al. 2011

2011 IEEE/PES Power Systems Conference and Exposition

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“…A representative example of FREEDM loop system is a distribution system operating at 12.47 kV. The system is supplied by a substation and several renewable generation resources that are distributed in a local loop [2]. The loads and renewable generations are connected to the loop via solid state transformers (SST).…”

Section: Introductionmentioning

confidence: 99%

“…Fault isolation devices (FID) (e.g., electronic circuit breakers) are used for fast fault interruption purpose [3], [4]. Compared to the traditional distribution system, the FREEDM system has the following features: (1) it is formed as a loop structure for better efficiency and reliability; (2) the energy transfer between the loads is controlled by SSTs. Thus the power flow can be bidirectional, i.e., there is no upstream and downstream for a fault current.…”

Section: Introductionmentioning

confidence: 99%

A New GPS-based Digital Protection System for Smart Grids in Loop Structure

Liu¹,

Steurer²,

Ming³

2014

EAI Endorsed Transactions on Energy Web

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This paper presents a new digital protection system to solve the protection challenges in future smart grids, i.e., fast protection and fault isolation in a loop-structured system with limited magnitude of fault current. The new system combines two protection algorithms, i.e., a differential protection as the primary algorithm and an overcurrent protection as the backup one. The new system uses real-time Ethernet and digital data acquisition techniques to overcome the restriction on data transmission over large grids. The current measurements at different locations are time-synchronized by GPS clocks, and then transmitted to a central computer via the Ethernet. As opposed to digital relays which often contain PMU functionality nowadays, this approach uses time stamps on the instantaneous current values. We build a prototype of the new system on a test-bed. The results from simulations and experiments have demonstrated that the protection system achieves fast and accurate protection.

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“…From hardware to software, research has been undertaken to integrate the emerging knowledge and technology. Some examples of these efforts are in [1][2][3][4]. Each looks at impacts of the integration or how much more work needs to go into making the knowledge beneficial.…”

Section: Introductionmentioning

confidence: 99%

Hardware platform for testing battery energy storage systems in the presence of renewables

Hill

Nwankpa

2013

2013 IEEE Grenoble Conference

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With continued demand for "smart" technologies, implementation of hardware such as batteries and renewable energy sources (e.g. solar panels) has become a huge economic undertaking. In order to better utilize these resources and thus maximize the lifetime of the elements, control schemes looking to both maximize the economic/financial gains while also preventing over usage have become even more important. The work presented examines hardware configurations.The hardware provides a platform to validate previous work while also allowing for learning of new problems. In particular, improvement in the models and testing of the theories from the software can be completed. This ranges from implementing control signals to checking the effects of intermittency in supply. The hardware platform also provides a flexible environment for understanding various issues associated with renewable energy management. Resources for hardware testing are housed within Drexel's Center for Electric Power Engineering (CEPE).

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Test bed evaluation of future power distribution systems with renewable resources

Cited by 4 publications

References 13 publications

Architecture of a smart microgrid distributed operating system

Architecture of a smart microgrid distributed operating system

A New GPS-based Digital Protection System for Smart Grids in Loop Structure

Hardware platform for testing battery energy storage systems in the presence of renewables

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