Power and Energy Commons^™

Impacts Of Current Limiting On The Transient Stability Of The Virtual Synchronous Generator, Kourosh Gharouni Saffar, Sina Driss, Firouz Badrkhani Ajaei

Electrical and Computer Engineering Publications

This article investigates the impacts of different current limiting strategies on the transient stability of the virtual synchronous generator (VSG). The power–angle curve of the VSG under different operating conditions is theoretically characterized in detail and experimentally verified through tests conducted on hardware-implemented lab-scale VSGs. It is shown that the reference current saturation approaches prioritizing the current vector angle, the d -axis current, and the q -axis current reshape the VSG power–angle curve in different ways. The resulting impacts on the VSG transient stability are comprehensively investigated through time-domain simulation of a battery energy storage system that is operated as …

Customised Multi-Energy Pricing: Model And Solutions, Qiuyi Hong, Fanlin Meng, Jian Liu

Electrical and Computer Engineering Faculty Research & Creative Works

With the increasing interdependence among energies (e.g., electricity, natural gas and heat) and the development of a decentralized energy system, a novel retail pricing scheme in the multi-energy market is demanded. Therefore, the problem of designing a customized multi-energy pricing scheme for energy retailers is investigated in this paper. In particular, the proposed pricing scheme is formulated as a bilevel optimization problem. At the upper level, the energy retailer (leader) aims to maximize its profit. Microgrids (followers) equipped with energy converters, storage, renewable energy sources (RES) and demand response (DR) programs are located at the lower level and minimize their …

In-Field Solar Panel Assessment And Fault Diagnosis, Muhammad Elgamal

Theses and Dissertations

Photovoltaic energy is a green energy that suit from small houses to high-power stations spanning large areas. In such large areas, monitoring individual panels can be a tedious task, especially if it was required to identify operational faults of these panels. Photovoltaic 4.0 technology depend on collecting data from each station and feeding them to a central processing system that can analyze operation data and hopefully locate when a fault happens. In such method, it is crucial to be accurate as much as possible and for measuring device to be accurate as well to have a clear judgement. In this …

Preface To Special Issue: Electrocatalysis And Electrosynthesis, Fang-Yi Cheng, Shuang-Yin Wang, Tian-Hua Zhou

Journal of Electrochemistry

No abstract provided.

Recent Advances In Exploring Highly Active & Durable Pgm-Free Oxygen Reduction Catalysts, Yuan Li, Miao-Ying Chen, Bang-An Lu, Jia-Nan Zhang

Journal of Electrochemistry

In order to reduce the considerable usage of expensive but scarce platinum at the cathode in proton exchange membrane fuel cells (PEMFCs), it is necessary to pursue alternatives to platinum. The most promising platinum group metal (PGM)-free catalysts for oxygen reduction reaction (ORR) are atomically dispersed, and nitrogen-coordinated metal site catalysts denoted as M-N-C (M = Fe, Co, or Mn, etc.). Over the last few decades, there have been great advances in these catalysts with high ORR activity and promising initial fuel cell performance approaching traditional Pt/C catalysts. However, the stability of these highly active Fe-N-C catalysts under practical fuel …

Electrochemical Oxidation Of Ethylene On Palladium Electrode, Wei-Xing Wu, Ying Wang

Journal of Electrochemistry

The electrochemical oxidation of C₂H₄ is attracting increasing attention due to its vast potential market. The current electrochemical methods rely on the use of redox mediators, which may produce corrosive intermediates, while direct oxidation is still limited by its low activity and selectivity. Herein, we conducted electrochemical studies to obtain mechanistic insights into the benchmark Pd catalyst. The generated Pd(II) could be the active site for C₂H₄ oxidation. By designing the pulse sequence, we found the ratio of strongly and weakly adsorbed C₂H₄ on Pd to be 0.3:1. The result we …

Supperlattice-Like Structure: Ordered Mass Transfer Endowing High Quality Output Of Fuel Cell, Jian Wang, Wen-Hui Xuan, Qian He, Jing-Xia Jiang, Yuan-Yuan Zhou, Yao Nie, Qiang Liao, Min-Hua Shao, Wei Ding, Zi-Dong Wei

Journal of Electrochemistry

The current or voltage fluctuation in fuel cell operation is harmful to the fuel cell system and power application equipment. Here, we report a technique to eliminate such a fluctuation by the aid of new type of catalysts, superlattice-like mesoporous PtCo catalysts. The current fluctuation in fuel cells catalyzed by two invented catalysts are fixed at as low as 25 mA·cm⁻² with a power of 0.75 W·cm⁻² or 120 mA·cm⁻² with a power of 1.01 W·cm⁻², and no noticeable current decay was detected over 100 h. By contrast, a …

Aiot-Based Smart Home Energy Management System, Mohammad Abdellatif, Ahmed K. Salama

Electrical Engineering

Artificial Intelligence of Things (AIoT) is a relatively new technology that combines Artificial Intelligence and Internet of Things. IoT devices can be integrated into large-scale systems for many modern applications. This results in a large amount of collected data, which needs efficient, and intelligent data processing for optimal use. Data can be processed and utilized for problem solving, decision making, and data prediction using AI. AI can increase the value of IoT, while IoT can improve AI's intel-ligence and learning. However, there are many obstacles to AIoT implementation such as complexity, precision, and efficiency. This study focuses on AI-powered IoT …

Senior Design Project - Ev Charger And Distributed Energy Resources, Eric Iliyev, Mostafa Younes, Abanoub Said, Carlos Figueroa, Ahmed Mohamed

Open Educational Resources

No abstract provided.

Data-Driven Nonparametric Joint Chance-Constrained Programming For Power Systems Scheduling, Chutian Wu

LSU Doctoral Dissertations

This dissertation is dedicated to implementing data-driven nonparametric joint chance constraints (JCC) to power system optimization problems. Power generated by renewable sources, such as solar farms, is an uncertain parameter. Several approaches solve optimization under uncertainty, including stochastic programming, robust programming, and chance-constrained programming. Uncertain parameters may not belong to any parametric class of probability functions. Thus, methods that consider such uncertainty as a random variable that fits in a known probability density function (PDF) have limitations. This study focuses on chance-constrained programming under nonparametric or data-driven distributionally robust uncertainty settings.

Studies based on chance-constrained programming usually focus on individual …

Influence Of Synthesis Conditions On The Physicochemical And Electrocatalytic Properties Of Non-Stoichiometric Ba2sr2la2ti4o12 Perovskites, Ofeliya Kostadinova, Iliyan Popov, Simeon M. Stankov, Hristo Kolev, Tamara Petkov

Karbala International Journal of Modern Science

Present work studies the influence of the pretreatment milling media (deionized water (BLTOS-H) and isopropanol (BLTOS-i)) on the surface characteristics, structure, chemical composition and catalytic activity of non-stoichiometric Ba2Sr2La2Ti4O12 perovskites. The IR spectroscopy and XRD analyses shows a difference in the structure and phase composition of the two materials. X-ray photoelectron spectroscopy detects a Ba2+- and La3+-enriched and Sr2+-depleted surface. The BLTOS-i sample appears to exhibit higher specific surface area (SSA) and pore volume in comparison to BLTOS-H. The electrochemical tests showed that BLTOS-H sample have similar behavior to platinum at current densi-ties up to 10 mA cm-2, while BLTOS-i …

Power System Dynamic Control And Performance Improvement Based On Reinforcement Learning, Wei Gao

Electronic Theses and Dissertations

This dissertation investigates the feasibility and effectiveness of using Reinforcement Learning (RL) techniques for power system dynamic control, particularly voltage and frequency control. The conventional control strategies used in power systems are complex and time-consuming due to the complicated high-order nonlinearities of the system. RL, which is a type of neural network-based technique, has shown promise in solving these complex problems by fitting any nonlinear system with the proper network structure.

The proposed RL algorithm, called Guided Surrogate Gradient-based Evolution Strategy (GSES) determines the weights of the policy (which generates the action for our control reference signal) without back-propagation process …

Merit Study Of Battery Or Hydrogen Energy Storage For Large Scale, Combined Wind And Solar Electricity Generation, Ashley K. Moore

Browse all Theses and Dissertations

In the past several years, the energy sector has experienced a rapid increase in renewable energy installations due to declining capital costs for wind turbines, solar panels, and batteries. Wind and solar electricity generation are intermittent in nature which must be considered in an economic analysis if a fair comparison is to be made between electricity supplied from renewables and electricity purchased from the grid. Energy storage reduces curtailment of wind and solar and minimizes electricity purchases from the grid by storing excess electricity and deploying the energy at times when demand exceeds the renewable energy supply. The objective of …

Optimal Management And Sizing For Battery Energy Storage Systems For Grid Applications, Abdullah Muslih Alharbi

Electronic Theses and Dissertations

Battery energy storage systems (BESSs) play a dominant role in the reliability, resiliency, economics, and operational flexibility of the power grid. As such, the BESS is a promising and reliable green technology for supporting power grid facilities. However, the integration of BESS technology into power projects can be expensive and challenging, both technologically and in terms of regulation compliance. Thus, it is necessary to examine best practices for fully optimizing BESS sizing, operation, and scheduling in the context of benefiting BESS operators and investors by fully exploiting the valuable economic and technical benefits of BESSs. In this research, we identify …

A Partial Discharge Inception Voltage Modeling Approach, Shilpi Mukherjee, Tristan Mark Evans, David Huitink, H. Alan Mantooth

Electrical Engineering Faculty Publications and Presentations

A partial discharge inception voltage modeling approach promoting design-for-reliability considerations in advanced power modules is presented. As power modules are being operated at higher voltages and become more compact to meet power density demands, there is an increased risk of partial discharge, the silent precursor to electrical breakdown that degrades insulation material. The trade-off between voltage class and module compaction must be quantified. This work presents a methodology to model the tradeoff for any substrate and encapsulant material. A surface charge density-based partial discharge inception voltage (PDIV) model was developed to overcome the challenges in electric field-based models. The model …

Developing A Standardized Gis Model Capable Of Identifying Areas To Implement Wind Power Generation Infrastructure, Namidu Vishwanath De Silva

All Graduate Theses, Dissertations, and Other Capstone Projects

This project involves the use of multi-source GIS data, suitability analysis, and spatial modeling techniques to identify the most suitable areas for improving renewable energy infrastructures, primarily focusing on wind energy, within a given region. Previous literature conducted on the subject matter shows research being done in isolated areas or states. The primary objective of this project is to develop a GIS model and scripting tool that has the capability to test any input region to find the most suitable area within the given region that would be ideal for implementing new wind power infrastructure. The success rate of the …

Decarbonization Analysis For Thermal Generation And Regionally Integrated Large-Scale Renewables Based On Minutely Optimal Dispatch With A Kentucky Case Study, Donovin Lewis, Aron Patrick, Evan S. Jones, Rosemary E. Alden, Abdullah Al Hadi, Malcolm D. Mcculloch, Dan Ionel

Power and Energy Institute of Kentucky Faculty Publications

Decarbonization of existing electricity generation portfolios with large-scale renewable resources, such as wind and solar photo-voltaic (PV) facilities, is important for a transition to a sustainable energy future. This paper proposes an ultra-fast optimization method for economic dispatch of firm thermal generation using high granularity, one minute resolution load, wind, and solar PV data to more accurately capture the effects of variable renewable energy (VRE). Load-generation imbalance and operational cost are minimized in a multi-objective clustered economic dispatch problem with various generation portfolios, realistic generator flexibility, and increasing levels of VRE integration. The economic feasibility of thermal dispatch scenarios is …

Circulating And Eddy Current Losses In Coreless Axial Flux Pm Machine Stators With Pcb Windings, Yaser Chulaee, Donovin Lewis, Ali Mohammadi, Greg Heins, Dean Patterson, Dan Ionel

Power and Energy Institute of Kentucky Faculty Publications

Printed circuit board (PCB) stators in coreless axial flux permanent magnet (AFPM) machines have been proposed, designed, and studied for use in multiple industries due to their design flexibility and reduction of manufacturing costs, volume, and weight compared to conventional stators. This paper investigates mechanisms and methods of approximating open circuit losses in PCB stators within example wave and spiral winding topologies for a dual rotor, single stator configuration using 3D FEA, analytical hybrid techniques and experiments. The effect of rotor magnet shape, end winding, and active conductor geometry on eddy currents is studied, and some mitigation techniques are proposed. …

การประเมินการปล่อยก๊าซเรือนกระจกตลอดวัฏจักรชีวิตของเครื่องปรับอากาศแบบแยกส่วน และแนวทางการลดปริมาณก๊าซเรือนกระจก : กรณีศึกษาโรงงานผลิตเครื่องปรับอากาศแห่งหนึ่งในประเทศไทย, พิพัฒน์ พงษ์นาค

Chulalongkorn University Theses and Dissertations (Chula ETD)

งานวิจัยนี้จัดทำขึ้นเพื่อวัตถุประสงค์ในการประเมินการปล่อยก๊าซเรือนกระจกตลอดวัฏจักรชีวิตของผลิตภัณฑ์เครื่องปรับอากาศแบบแยกส่วนชนิดติดผนังขนาดทำความเย็น 3.2 กิโลวัตต์ ซึ่งมีขอบเขตการประเมินตั้งแต่ การได้มาซึ่งวัตถุดิบ การขนส่งวัตถุดิบ กระบวนการผลิต กระจายสินค้า การใช้งาน การกำจัดซาก และแบ่งย่อยขอบเขตการประเมิน เป็น 2 รูปแบบ คือ กรณีใช้งานประเทศไทย และ กรณีใช้งานในทวีปยุโรป เพื่อเสนอมาตรการลดการปล่อยก๊าซเรือนกระจก และคำนวณศักยภาพการลดคาร์บอนฟุตพริ้นท์ของผลิตภัณฑ์ ผลการศึกษาพบว่าปริมาณการปล่อยก๊าซเรือนกระจกตลอดวัฏจักรชีวิตเครื่องปรับอากาศแบบแยกส่วนกรณีใช้งานในประเทศไทย เท่ากับ 13,643 kgCO2eq และผลลัพธ์ปริมาณการปล่อยก๊าซเรือนกระจกกรณีสถานการณ์ใช้งานในทวีปยุโรปเท่ากับ 10,289.63 kgCO2eq ต่อผลิตภัณฑ์ ซึ่งการปล่อยก๊าซเรือนกระจกในแต่ละขั้นตอนของผลิตภัณฑ์ทั้งประเทศไทยและทวีปยุโรปสอดคล้องไปทางเดียวกันคือ ขั้นตอนการใช้งานมีการปล่อยก๊าซเรือนกระจกมากที่สุด และปัจจัยหลักที่ค่าการปล่อยก๊าซเรือนกระจกกรณีใช้งานในทวีปยุโรปน้อยกว่าประเทศไทย เนื่องจากเทคโนโลยีและเชื้อเพลิงในการผลิตไฟฟ้า ซึ่งในทวีปยุโรปมีสัดส่วนการใช้พลังงานสะอาดเป็นสัดส่วนร้อยละ 56 ซึ่งมากกว่าประเทศไทยที่มีสัดส่วนร้อยละ 16 ในส่วนของมาตรการลดการปล่อยก๊าซเรือนกระจกสารนิพนธ์นี้นำเสนอมาตรการลดการปล่อยก๊าซเรือนกระจกที่แบ่งมาตรการเป็นสองด้านได้แก่ ด้านผู้ใช้งานและ ด้านผู้ผลิต โดยมาตรการด้านผู้ใช้งาน ได้แก่ (1) มาตรการการจัดการการใช้พลังงานอย่างมีประสิทธิภาพโดยใช้ Silent mode 4 ชั่วโมง/วัน (2) ใช้ระบบการจัดการพลังงานผ่านซอฟต์แวร์โดยลดใช้พลังงานลง 10 % ต่อปี (3) การไม่ทิ้งสารทำความเย็นสู่ชั้นบรรยากาศ ซึ่งหากดำเนินงานทั้ง 3 มาตรการด้านผู้ใช้งานสามารถลดก๊าซเรือนกระจกกรณีใช้งานในประเทศไทยได้ 3,946 kgCO2eq และกรณีใช้งานในทวีปยุโรป 3,366 kgCO2eq และมาตรการด้านผู้ผลิต ได้แก่ (1) การพัฒนาเครื่องปรับอากาศที่มีประสิทธิภาพการใช้พลังงานสูงขึ้น (2) การศึกษาพัฒนาเครื่องปรับอากาศให้ใช้สารทำความเย็นชนิด R290 (3) การนำสารทำความเย็นจากเครื่องเก่ามาใช้ใหม่โดยวิธีการ reclamation (Batch Distillation) (4) เพิ่มสัดส่วนการใช้ไฟฟ้าจากพลังงานสะอาดในการผลิตเครื่องปรับอากาศ ซึ่งหากดำเนินมาตรการลดก๊าซเรือนกระจกทั้ง 4 มาตรการด้านผู้ใช้ จะสามารถลดการปล่อยก๊าซเรือนกระจกในกรณีใช้งานในประเทศไทยเท่ากับ 2,943 kgCO2eq และกรณีใช้งานในทวีปยุโรปลดลงเท่ากับ 1,193 kgCO2eq

Evaluating The Impact Of Increased Cycling On Thermal Power Plants Due To Wind Energy Penetration In The Midwest: A Case Study, Joscelyne Larson

Electronic Theses and Dissertations

One of the most significant shifts in the mix of U.S. electricity generation over the past few years has been the rapid expansion of renewable energy resources, especially solar and wind. However, fossil fuels are still necessary to fulfill the world’s energy requirements. Despite efforts to increase the use of renewable energy sources, these sources can be at times unreliable, causing countries around the world to continue to rely on base load units such as coal and natural gas. This decrease in fossil fuels and increase in renewable energy sources presents many complex issues in terms of power system planning, …