scholarly journals Enhanced INL Power Grid Test Bed Infrastructure – Phase I

2014 ◽  
Author(s):  
Carol Ann Reid ◽  
Grayson Shawn West ◽  
Scott Alan McBride
Keyword(s):  
Phase I ◽  
Power Grid ◽  
Test Bed ◽  
Grid Test

Test-Bed for Programmable Automation Research. Phase I.

1984 ◽  
Author(s):  
R. C. Smith ◽  
R. C. Bolles ◽  
J. H. Herson ◽  
J. K. Myers ◽  
D. Nitzan
Keyword(s):  
Phase I ◽  
Test Bed

Design of Smart Grid Test Bed Using OPNET and PLC

2018 ◽  
pp. 22-42
Keyword(s):  
Smart Grid ◽  
Power Line ◽  
Transport Layer ◽  
Application Layer ◽  
Test Bed ◽  
Data Link ◽  
Link Layer ◽  
Data Link Layer ◽  
Base Data ◽  
Grid Test

In this design unit, a design to test the performances of varying models was developed for the simulations in the PLC-base data link layer. The design includes a smart home and a Smart Grid environment where a comparison between Zigbee and WiMax-based models can be performed. The Smart Grid Test Bed has been designed using OPNET and Power Line Communication is proposed in this book. It is being designed to allow test bed experiments in four layers among OSI 7 layers. This chapter is organized as follows: The Physical Layer and Datalink Layer for Smart Grid Test Bed in Section 1; the Transport Layer for Smart Grid Test Bed in Section 2; and finally, Application Layer for Smart Grid Test Bed in Section.

Unbalanced Control Strategy for DFIG Used in Wind Turbines

2013 ◽  
Vol 805-806 ◽  
pp. 430-435
Author(s):  
Chang Xi Huang ◽  
Shu Ying Yang ◽  
Liu Wei Chen
Keyword(s):  
Wind Turbine ◽  
Wind Turbines ◽  
Power Grid ◽  
Current Control ◽  
Doubly Fed Induction Generator ◽  
Test Bed ◽  
Negative Sequence ◽  
Synchronous Reference Frame ◽  
Sequence Components ◽  
Doubly Fed

Unbalanced input voltages would make doubly fed induction generator (DFIG)-based wind turbine operating performance deteriorate, such as shaft tremble, temperature increasing, and so on, even make it cut out of the power grid. Meanwhile, without proper control the power ripples generated from wind turbines may further aggravate power grid. Considering the unbalanced conditions, DFIG was modeled in dual synchronous reference frame (SRF), namely the positive one and the negative one, based on which the dual PI current controllers were designed. To implement the dual current control, the sensing variables were divided into positive and negative sequence components, which were controlled in positive and negative SRF respectively. At the same time, to synchronize with the positive and negative sequence voltage components, a phase latch loop (PLL) control was designed. Experimental results on 11kW DFIG wind turbine test bed validated the designed control system.

Towards Cooperative Robotic Swarm Recognition: Object Classification and Validity

2010 ◽  
Vol 450 ◽  
pp. 320-324 ◽  
Author(s):  
David King ◽  
Philip Breedon
Keyword(s):  
Energy Consumption ◽  
Object Classification ◽  
Test Bed ◽  
Individual Agent ◽  
Hexagonal Grid ◽  
Small Section ◽  
Initial Testing ◽  
Robotic Swarm ◽  
Cooperative Transport ◽  
Grid Test

Currently in cooperative transport research each agent can identify object validity. The validity is identified through a distinguishing feature, such as the object being lit. This paper examines the scenario where individual agents cannot assess the validity of an object. For example a triangle and hexagon may appear the same to an agent looking at a small section of the object. An arena containing half valid and half invalid objects was designed and implemented using a swarm simulation hexagonal grid test bed. The objects appear identical to an individual agent but are dissimilar, the objects were represented as imprecise triangles and hexagons. The swarm assessed each object as a group to determine its validity. Two different strategies were compared for dealing with invalid objects ranging the number of agents from 10 to 30. Initial testing has concluded that by ignoring invalid objects once identified required, on average, 1.28 times the amount of energy consumption to complete the task than when the invalid objects were removed.

scholarly journals Electricity Market Design for the Incorporation of Various Demand-Side Resources in the Jeju Smart Grid Test-bed

2014 ◽  
Vol 9 (6) ◽  
pp. 1851-1863 ◽  
Author(s):  
Man-Guen Park ◽  
Seong-Bin Cho ◽  
Koo-Hyung Chung ◽  
Kyeong-Seob Moon ◽  
Jae-Hyung Roh
Keyword(s):  
Smart Grid ◽  
Electricity Market ◽  
Market Design ◽  
Demand Side ◽  
Test Bed ◽  
Grid Test

Design of Smart Grid Test Bed Using OPNET and PLC

2022 ◽  
pp. 165-182
Author(s):  
Jun-Ho Huh
Keyword(s):  
Smart Grid ◽  
Power Line ◽  
Transport Layer ◽  
Application Layer ◽  
Test Bed ◽  
Data Link ◽  
Link Layer ◽  
Data Link Layer ◽  
Base Data ◽  
Grid Test

In this design unit, a design to test the performances of varying models was developed for the simulations in the PLC-base data link layer. The design includes a smart home and a Smart Grid environment where a comparison between Zigbee and WiMax-based models can be performed. The Smart Grid Test Bed has been designed using OPNET and Power Line Communication is proposed in this book. It is being designed to allow test bed experiments in four layers among OSI 7 layers. This chapter is organized as follows: The Physical Layer and Datalink Layer for Smart Grid Test Bed in Section 1; the Transport Layer for Smart Grid Test Bed in Section 2; and finally, Application Layer for Smart Grid Test Bed in Section.

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