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- Battery charging stations (Electric vehicles) -- Design and construction (1)
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Articles 1 - 5 of 5
Full-Text Articles in Engineering
A Combined Energy And Geoengineering Optimization Model (Ceagom) For Climate Policy Analysis, John George Anasis
A Combined Energy And Geoengineering Optimization Model (Ceagom) For Climate Policy Analysis, John George Anasis
Dissertations and Theses
One of the greatest challenges that will face humanity in the 21st century is the issue of climate change brought about by emissions of greenhouse gases. Energy use is one of the primary sources of greenhouse gas emissions. However, it is also one of the most important contributors to improved human welfare over the past two centuries and will continue to be so for years to come. This quandary has led a number of researchers to suggest that geoengineering may be required in order to allow for continued use of fossil fuels while at the same time mitigating the …
Fast Sequence Component Analysis For Attack Detection In Synchrophasor Networks, Jordan Landford, Rich Meier, Richard Barella, Xinghui Zhao, Robert B. Bass, Scott Wallace
Fast Sequence Component Analysis For Attack Detection In Synchrophasor Networks, Jordan Landford, Rich Meier, Richard Barella, Xinghui Zhao, Robert B. Bass, Scott Wallace
Electrical and Computer Engineering Faculty Publications and Presentations
Modern power systems have begun integrating synchrophasor technologies into part of daily operations. Given the amount of solutions offered and the maturity rate of application development it is not a matter of "if" but a matter of "when" in regards to these technologies becoming ubiquitous in control centers around the world. While the benefits are numerous, the functionality of operator-level applications can easily be nullified by injection of deceptive data signals disguised as genuine measurements. Such deceptive action is a common precursor to nefarious, often malicious activity. A correlation coefficient characterization and machine learning methodology are proposed to detect and …
Time-Variant Load Models Of Electric Vehicle Chargers, Nicole P. Zimmerman
Time-Variant Load Models Of Electric Vehicle Chargers, Nicole P. Zimmerman
Dissertations and Theses
In power distribution system planning, it is essential to understand the impacts that electric vehicles (EVs), and the non-linear, time-variant loading profiles associated with their charging units, may have on power distribution networks. This research presents a design methodology for the creation of both analytical and behavioral models for EV charging units within a VHDL-AMS simulation environment.
Voltage and current data collected from Electric Avenue, located on the Portland State University campus, were used to create harmonic profiles of the EV charging units at the site. From these profiles, generalized models for both single-phase (Level 2) and three-phase (Level 3) …
Vortex Identification In The Wake Of A Wind Turbine Array, Aleksandr Sergeyevich Aseyev
Vortex Identification In The Wake Of A Wind Turbine Array, Aleksandr Sergeyevich Aseyev
Dissertations and Theses
Vortex identification techniques are used to analyze the flow structure in a 4 x 3 array of scale model wind turbines. Q-criterion, Δ-criterion, and λ2-criterion are applied to Particle Image Velocimetry data gathered fore and aft of the last row centerline turbine. Q-criterion and λ2-criterion provide a clear indication of regions where vortical activity exists while the Δ-criterion does not. Galilean decomposition, Reynolds decomposition, vorticity, and swirling strength are used to further understand the location and behavior of the vortices. The techniques identify and display the high magnitude vortices in high shear zones resulting from the …
Global Time-Independent Agent-Based Simulation For Transactive Energy System Dispatch And Schedule Forecasting, Shawn Aaron Chandler
Global Time-Independent Agent-Based Simulation For Transactive Energy System Dispatch And Schedule Forecasting, Shawn Aaron Chandler
Dissertations and Theses
Electricity service providers (ESP) worldwide have increased their interest in the use of electrical distribution, transmission, generation, storage, and responsive load resources as integrated systems. Referred to commonly as "smart grid," their interest is driven by widespread goals to improve the operations, management and control of large-scale power systems. In this thesis I provide research into a novel agent-based simulation (ABS) approach for exploring smart grid system (SGS) dispatch, schedule forecasting and resource coordination. I model an electrical grid and its assets as an adaptive ABS, assigning an agent construct to every SGS resource including demand response, energy storage, and …