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The Next-Generation Retail Electricity Market In The Context Of Distributed Energy Resources: Vision And Integrating Framework, Josue Campos do Prado, Wei Qiao, Liyan Qu, Julio Romero Aguero 2019 University of Nebraska - Lincoln

The Next-Generation Retail Electricity Market In The Context Of Distributed Energy Resources: Vision And Integrating Framework, Josue Campos Do Prado, Wei Qiao, Liyan Qu, Julio Romero Aguero

Faculty Publications from the Department of Electrical and Computer Engineering

The increasing adoption of distributed energy resources (DERs) and smart grid technologies (SGTs) by end-user retail customers is changing significantly both technical and economic operations in the distribution grid. The next-generation retail electricity market will promote decentralization, efficiency, and competitiveness by accommodating existing and new agents through new business models and transactive approaches in an advanced metering infrastructure (AMI). However, these changes will bring several technical challenges to be addressed in transmission and distribution systems. Considerable activities have been carried out worldwide to study the impacts of integrating DERs into the grid and in the wholesale electricity market. However, the ...


Fast Growth Of Thin Mapbi3 Crystal Wafers On Aqueous Solution Surface For Efficient Lateral-Structure Perovskite Solar Cells, Ye Liu, Qingfeng Dong, Yanjun Fang, Yuze Lin, Yehao Deng, Jinsong Huang 2019 University of Nebraska-Lincoln

Fast Growth Of Thin Mapbi3 Crystal Wafers On Aqueous Solution Surface For Efficient Lateral-Structure Perovskite Solar Cells, Ye Liu, Qingfeng Dong, Yanjun Fang, Yuze Lin, Yehao Deng, Jinsong Huang

Mechanical & Materials Engineering Faculty Publications

Solar-grade single or multiple crystalline wafers are needed in large quantities in the solar cell industry, and are generally formed by a top-down process from crystal ingots, which causes a significant waste of materials and energy during slicing, polishing, and other processing. Here, a bottom-up technique that allows the growth of wafer-size hybrid perovskite multiple crystals directly from aqueous solution is reported. Single-crystalline hybrid perovskite wafers with centimeter size are grown at the top surface of a perovskite precursor solution. As well as saving raw materials, this method provides unprecedented advantages such as easily tunable thickness and rapid growth of ...


Data-Driven Identification And Prediction Of Power System Dynamics Using Linear Operators, Pranav Sharma, Bowen Huang, Umesh Vaidya, Venkataramana Ajjarapu 2019 Iowa State University

Data-Driven Identification And Prediction Of Power System Dynamics Using Linear Operators, Pranav Sharma, Bowen Huang, Umesh Vaidya, Venkataramana Ajjarapu

Electrical and Computer Engineering Publications

In this paper, we propose linear operator theoretic framework involving Koopman operator for the data-driven identification of power system dynamics. We explicitly account for noise in the time series measurement data and propose robust approach for data-driven approximation of Koopman operator for the identification of nonlinear power system dynamics. The identified model is used for the prediction of state trajectories in the power system. The application of the framework is illustrated using an IEEE nine bus test system.


Weighted Reservoir Sampling From Distributed Streams, Rajesh Jayaram, Gokarna Sharma, Srikanta Tirthapura, David P. Woodruff 2019 Carnegie Mellon University

Weighted Reservoir Sampling From Distributed Streams, Rajesh Jayaram, Gokarna Sharma, Srikanta Tirthapura, David P. Woodruff

Electrical and Computer Engineering Publications

We consider message-efficient continuous random sampling from a distributed stream, where the probability of inclusion of an item in the sample is proportional to a weight associated with the item. The unweighted version, where all weights are equal, is well studied, and admits tight upper and lower bounds on message complexity. For weighted sampling with replacement, there is a simple reduction to unweighted sampling with replacement. However, in many applications the stream has only a few heavy items which may dominate a random sample when chosen with replacement. Weighted sampling \textit{without replacement} (weighted SWOR) eludes this issue, since such ...


Camr: Coded Aggregated Mapreduce, Konstantinos Konstantinidis, Aditya Ramamoorthy 2019 Iowa State University

Camr: Coded Aggregated Mapreduce, Konstantinos Konstantinidis, Aditya Ramamoorthy

Electrical and Computer Engineering Publications

Many big data algorithms executed on MapReduce-like systems have a shuffle phase that often dominates the overall job execution time. Recent work has demonstrated schemes where the communication load in the shuffle phase can be traded off for the computation load in the map phase. In this work, we focus on a class of distributed algorithms, broadly used in deep learning, where intermediate computations of the same task can be combined. Even though prior techniques reduce the communication load significantly, they require a number of jobs that grows exponentially in the system parameters. This limitation is crucial and may diminish ...


Data-Driven Nonlinear Stabilization Using Koopman Operator, Bowen Huang, Xu Ma, Umesh Vaidya 2019 Iowa State University

Data-Driven Nonlinear Stabilization Using Koopman Operator, Bowen Huang, Xu Ma, Umesh Vaidya

Electrical and Computer Engineering Publications

We propose the application of Koopman operator theory for the design of stabilizing feedback controller for a nonlinear control system. The proposed approach is data-driven and relies on the use of time-series data generated from the control dynamical system for the lifting of a nonlinear system in the Koopman eigenfunction coordinates. In particular, a finite-dimensional bilinear representation of a control-affine nonlinear dynamical system is constructed in the Koopman eigenfunction coordinates using time-series data. Sample complexity results are used to determine the data required to achieve the desired level of accuracy for the approximate bilinear representation of the nonlinear system in ...


Distributed Matrix-Vector Multiplication: A Convolutional Coding Approach, Anindya B. Das, Aditya Ramamoorthy 2019 Iowa State University

Distributed Matrix-Vector Multiplication: A Convolutional Coding Approach, Anindya B. Das, Aditya Ramamoorthy

Electrical and Computer Engineering Publications

Distributed computing systems are well-known to suffer from the problem of slow or failed nodes; these are referred to as stragglers. Straggler mitigation (for distributed matrix computations) has recently been investigated from the standpoint of erasure coding in several works. In this work we present a strategy for distributed matrix-vector multiplication based on convolutional coding. Our scheme can be decoded using a low-complexity peeling decoder. The recovery process enjoys excellent numerical stability as compared to Reed-Solomon coding based approaches (which exhibit significant problems owing their badly conditioned decoding matrices). Finally, our schemes are better matched to the practically important case ...


Universally Decodable Matrices For Distributed Matrix-Vector Multiplication, Aditya Ramamoorthy, Li Tang, Pascal O. Vontobel 2019 Iowa State University

Universally Decodable Matrices For Distributed Matrix-Vector Multiplication, Aditya Ramamoorthy, Li Tang, Pascal O. Vontobel

Electrical and Computer Engineering Publications

Coded computation is an emerging research area that leverages concepts from erasure coding to mitigate the effect of stragglers (slow nodes) in distributed computation clusters, especially for matrix computation problems. In this work, we present a class of distributed matrix-vector multiplication schemes that are based on codes in the Rosenbloom-Tsfasman metric and universally decodable matrices. Our schemes take into account the inherent computation order within a worker node. In particular, they allow us to effectively leverage partial computations performed by stragglers (a feature that many prior works lack). An additional main contribution of our work is a companion matrix-based embedding ...


A Markovian Influence Graph Formed From Utility Line Outage Data To Mitigate Cascading, Kai Zhou, Ian Dobson, Zhaoyu Wang, Alexander Roitershtein, Arka P. Ghosh 2019 Iowa State University

A Markovian Influence Graph Formed From Utility Line Outage Data To Mitigate Cascading, Kai Zhou, Ian Dobson, Zhaoyu Wang, Alexander Roitershtein, Arka P. Ghosh

Electrical and Computer Engineering Publications

We use observed transmission line outage data to make a Markov influence graph that describes the probabilities of transitions between generations of cascading line outages, where each generation of a cascade consists of a single line outage or multiple line outages. The new influence graph defines a Markov chain and generalizes previous influence graphs by including multiple line outages as Markov chain states. The generalized influence graph can reproduce the distribution of cascade size in the utility data. In particular, it can estimate the probabilities of small, medium and large cascades. The influence graph has the key advantage of allowing ...


Hw/Sw Configurable Lqg Controller Using A Sequential Discrete Kalman Filter, Matthew Cauwels, Joseph Zambreno, Phillip H. Jones 2019 Iowa State University

Hw/Sw Configurable Lqg Controller Using A Sequential Discrete Kalman Filter, Matthew Cauwels, Joseph Zambreno, Phillip H. Jones

Electrical and Computer Engineering Publications

A hardware/software configurable architecture for Linear Quadratic Gaussian (LQG) control is presented, which is a combination of a Linear Quadratic Regulator (LQR) control law with a Discrete Kalman Filter (DKF) state estimator. LQG controllers are ideal candidates for hardware acceleration, since the DKF algorithm requires matrix inversion, which is time consuming and potentially parallelizable. In this design, a functionally equivalent DKF method, called the Sequential Discrete Kalman Filter (SDKF), is used to transform the matrix inversion into an iterative scalar inversion. The proposed design acts as an Intellectual Property (IP) Core, where the user can adjust scaling parameters in ...


Vhf Transmitter Development For Wildlife Tracking, Bryan Westra 2019 Grand Valley State University

Vhf Transmitter Development For Wildlife Tracking, Bryan Westra

Masters Theses

Wildlife biologists often use collars with VHF transmitters to gather wildlife data. The purpose of this project is to determine the best approach to designing a wildlife tracking VHF transmitter on a Printed Circuit Board (PCB). A variety of frequency generation methods were considered for the transmitter, including transistor-based crystal oscillators and chip based solutions from the chip manufacturers Analog Devices and Silicon Labs. Prototypes of the feasible options were built and evaluated for cost, power consumption, efficiency, size, frequency range, signal bandwidth, and frequency stability. It was found that the Silicon Labs Si4010 chip was the best solution based ...


A-024 Louisiana Tech University, College Of Engineering, Department Of Electrical Engineering Collection, 1956 - 1970, University Archives and Special Collections, Prescott Memorial Library, Louisiana Tech University 2019 Louisiana Tech University

A-024 Louisiana Tech University, College Of Engineering, Department Of Electrical Engineering Collection, 1956 - 1970, University Archives And Special Collections, Prescott Memorial Library, Louisiana Tech University

University Archives Finding Aids

No abstract provided.


Charge Storage In Wo³ Polymorphs And Their Application As Supercapacitor Electrode Material, Vaibhav Lokhande, Abhishek Lokhande, Gon Namkoong, Jin Hyeok Kim, Taeksoo Ji 2019 Old Dominion University

Charge Storage In Wo³ Polymorphs And Their Application As Supercapacitor Electrode Material, Vaibhav Lokhande, Abhishek Lokhande, Gon Namkoong, Jin Hyeok Kim, Taeksoo Ji

Electrical & Computer Engineering Faculty Publications

Tungsten oxide is a versatile material with different applications. It has many polymorphs with varying performance in energy storage application. We report simple and facile way to synthesize four phases of tungsten oxide from same precursor materials only by changing the pH and temperature values. Monoclinic, hexagonal, orthorhombic and tetragonal phase obtained, were analyzed and tested for supercapacitor application. The electrochemical analysis of four phases indicates that the hexagonal phase is best-suited electrode material for supercapacitor. The hexagonal phase exhibits higher specific capacitance (377.5 Fg-1 at 2 mVs-1), higher surface capacitive contribution (75%), better stability and rate ...


Weld Penetration Identification Based On Convolutional Neural Network, Chao Li 2019 University of Kentucky

Weld Penetration Identification Based On Convolutional Neural Network, Chao Li

Theses and Dissertations--Electrical and Computer Engineering

Weld joint penetration determination is the key factor in welding process control area. Not only has it directly affected the weld joint mechanical properties, like fatigue for example. It also requires much of human intelligence, which either complex modeling or rich of welding experience. Therefore, weld penetration status identification has become the obstacle for intelligent welding system. In this dissertation, an innovative method has been proposed to detect the weld joint penetration status using machine-learning algorithms.

A GTAW welding system is firstly built. Project a dot-structured laser pattern onto the weld pool surface during welding process, the reflected laser pattern ...


Optimal Distribution Feeder Reconfiguration With Distributed Generation Using Intelligent Techniques, Ahmad Ghaweta 2019 University of Kentucky

Optimal Distribution Feeder Reconfiguration With Distributed Generation Using Intelligent Techniques, Ahmad Ghaweta

Theses and Dissertations--Electrical and Computer Engineering

Feeder reconfiguration is performed by changing the open/close status of two types of switches: normally open tie switches and normally closed sectionalizing switches. A whole feeder or part of a feeder may be served from another feeder by closing a tie switch linking the two while an appropriate sectionalizing switch must be opened to maintain the radial structure of the system. Feeder reconfiguration is mainly aiming to reduce the system overall power losses and improve voltage profile. In this dissertation, several approaches have been proposed to reconfigure the radial distribution networks including the potential impact of integrating Distributed Energy ...


Estimation Of Transmission Line Parameters Using Linear Method With Synchronized And Unsynchronized Data, Mustafa Lahmar 2019 University of Kentucky

Estimation Of Transmission Line Parameters Using Linear Method With Synchronized And Unsynchronized Data, Mustafa Lahmar

Theses and Dissertations--Electrical and Computer Engineering

Accurate value of transmission line parameters is important for power system protection applications, especially for distance relays whose zone settings are based on positive sequence line impedance. The research is devoted to estimating transmission line positive-sequence parameters from synchronized or unsynchronized measurements of voltage and current phasors that are obtained at both terminals of the line. The positive sequence parameters including series impedance and shunt admittance can be linearly estimated. The linear least square algorithm has been derived in this dissertation for different transmission line configurations. The algorithm is able to handle both synchronized and unsynchronized measurements and deal with ...


Amorphous Metal Oxide Semiconductor Thin Film Transistors For Printed Electronics, Mustafa Mohammad Yousef 2018 New Jersey Institute of Technology

Amorphous Metal Oxide Semiconductor Thin Film Transistors For Printed Electronics, Mustafa Mohammad Yousef

Theses

There is an acute market need for solution-processable semiconductor inks that can form the essential components of the printed analog and digital circuits. Currently, the industry is migrating beyond simply printing conductive metals for interconnects and embracing higher integration by printing transistors directly on the same substrate. This thesis focuses on investigating solution-processed amorphous indium gallium zinc oxide (IGZO) as a semiconducting channel layer of a field-effect transistor to enable low-cost, large-area printed electronics that are physically flexible and optically transparent. Specifically, we aim to achieve field-effect mobility exceeding 1 cm2/Vs, to overcome the limits faced in existing ...


Icing Thickness Prediction Model For Overhead Transmission Lines, Yue Ming 2018 New Jersey Institute of Technology

Icing Thickness Prediction Model For Overhead Transmission Lines, Yue Ming

Theses

Failures in a large electric power system are often inevitable. Severe weather conditions are one of the main causes of transmission line failures. Using the fault data of transmission lines of Shaanxi Power Grid from 2006 to 2016, in conjunction with meteorological information, this paper analyses the relationship between the temporal-spatial distribution characteristics of meteorological disasters and the fault of transmission lines in Shaanxi Province, China.

In order to analyze the influence of micro-meteorology on ice coating, a grey correlation analysis method is proposed. This thesis calculates the grey relational between ice thickness and micro-meteorological parameters such as ambient temperature ...


Characterization Of Self-Heating Effects And Assessment Of Its Impact On Reliability In Finfet Technology, Peter Christopher Paliwoda 2018 New Jersey Institute of Technology

Characterization Of Self-Heating Effects And Assessment Of Its Impact On Reliability In Finfet Technology, Peter Christopher Paliwoda

Dissertations

The systematically growing power (heat) dissipation in CMOS transistors with each successive technology node is reaching levels which could impact its reliable operation. The emergence of technologies such as bulk/SOI FinFETs has dramatically confined


Optimizing Resource Allocation In Eh-Enabled Internet Of Things, Ali Shahini 2018 New Jersey Institute of Technology

Optimizing Resource Allocation In Eh-Enabled Internet Of Things, Ali Shahini

Dissertations

Internet of Things (IoT) aims to bridge everyday physical objects via the Internet. Traditional energy-constrained wireless devices are powered by fixed energy sources like batteries, but they may require frequent battery replacements or recharging. Wi


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