2019 IEEE Texas Power and Energy Conference (TPEC)最新文献_第6页

Current-only Directional Overcurrent Protection Using Postfault Current 使用故障后电流的纯电流定向过流保护

2019 IEEE Texas Power and Energy Conference (TPEC) Pub Date : 2019-02-01 DOI: 10.1109/TPEC.2019.8662199

Iman Kiaei, S. Lotfifard, M. Ghanaatian

引用次数: 9

Investigation of Approaches for Incorporating Smart Meter Data in Load and PV Models in Medium Voltage Power System Studies 在中压电力系统研究中，将智能电表数据纳入负荷和光伏模型的方法研究

2019 IEEE Texas Power and Energy Conference (TPEC) Pub Date : 2019-02-01 DOI: 10.1109/TPEC.2019.8662172

Sophia Abena Tijani, K. Butler-Purry

引用次数: 3

Formalizing an Automated, Adversary-aware Risk Assessment Process for Critical Infrastructure 为关键基础设施形式化一个自动化的、对手感知的风险评估过程

2019 IEEE Texas Power and Energy Conference (TPEC) Pub Date : 2019-02-01 DOI: 10.1109/TPEC.2019.8662167

Ananth A. Jillepalli, Daniel Conte De Leon, I. A. Oyewumi, J. Alves-Foss, B. Johnson, Clinton L. Jeffery, Y. Chakhchoukh, M. Haney, Frederick T. Sheldon

引用次数: 0

Contraction Region Analysis for Power Systems 电力系统的收缩区分析

2019 IEEE Texas Power and Energy Conference (TPEC) Pub Date : 2019-02-01 DOI: 10.1109/TPEC.2019.8662183

Mutlu Yilmaz, F. Bayat

引用次数: 1

Impact of Resistive Superconductive Fault Current Limiter’s Location and its Resistance Value on the Stability of Micro Grid System 电阻式超导故障限流器位置及其电阻值对微电网系统稳定性的影响

2019 IEEE Texas Power and Energy Conference (TPEC) Pub Date : 2019-02-01 DOI: 10.1109/TPEC.2019.8662153

M. Mousa, S. Abdelwahed, J. Kluss

引用次数: 5

Distribution System Reconfiguration for Loss Reduction Incorporating Load and Renewable Generation Uncertainties 考虑负荷和可再生能源发电不确定性的配电系统减损重构

2019 IEEE Texas Power and Energy Conference (TPEC) Pub Date : 2019-02-01 DOI: 10.1109/TPEC.2019.8662154

Arash Abbaskhani-Davanloo, Mahraz Amini, M. S. Modarresi, Fatemehalsadat Jafarishiadeh

{"title":"Distribution System Reconfiguration for Loss Reduction Incorporating Load and Renewable Generation Uncertainties","authors":"Arash Abbaskhani-Davanloo, Mahraz Amini, M. S. Modarresi, Fatemehalsadat Jafarishiadeh","doi":"10.1109/TPEC.2019.8662154","DOIUrl":"https://doi.org/10.1109/TPEC.2019.8662154","url":null,"abstract":"A significant share of losses in power systems occurs in distribution network due to lower voltages and longer lines. On top of that, unbalanced operation causes additional losses in these networks. In recent years with the development of distributed generation connected to the distribution grid, the concern over frequency and intensity of unbalanced operation has risen. Reconfiguration of these distribution networks plays a significant role in power loss minimization and voltage quality enhancement. The uncertainty regarding grid-connected DG resources and net loads are among the critical factors that must be taken into account. To do so, in this paper a novel Fuzzy-based reconfiguration method is proposed to improve the hourly power loss in distribution systems incorporating load and renewable generation uncertainties. In addition, a modified Genetic Algorithm is employed in order to maintain the radial structure of the network and reduce the computation time of the proposed technique. To illustrate the effectiveness of the proposed method, a simulation based analysis is carried out on IEEE 33 bus distribution system.","PeriodicalId":424038,"journal":{"name":"2019 IEEE Texas Power and Energy Conference (TPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127564472","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

A Function-on-Function Linear Regression Approach for Short-Term Electric Load Forecasting 短期电力负荷预测的函数对函数线性回归方法

2019 IEEE Texas Power and Energy Conference (TPEC) Pub Date : 2019-02-01 DOI: 10.1109/TPEC.2019.8662147

Hashir Moheed Kiani, Xiao-Jun Zeng

{"title":"A Function-on-Function Linear Regression Approach for Short-Term Electric Load Forecasting","authors":"Hashir Moheed Kiani, Xiao-Jun Zeng","doi":"10.1109/TPEC.2019.8662147","DOIUrl":"https://doi.org/10.1109/TPEC.2019.8662147","url":null,"abstract":"As more and more renewable energy options have been added to the electrical grid, the need for a more efficient, robust and smarter grid has increased. The number of electric vehicles would also increase in the future which would result in a significant amount of strain on the electrical grid. Therefore, there is an increased need for advanced short term load forecasting techniques in order to maintain the quality of the current electrical grid and ensure that all the generation resources available are utilized efficiently. In this paper, a function-on-function linear regression approach has been used to forecast short term electrical load one day in advance. Functional approach is useful as it gives a complete demand curve which makes planning easier for a utility. The forecast was obtained by using a functional B-spline approximation of past values. The performance of this functional data technique has been assessed by using historical hourly load data from the Pennsylvania, New Jersey and Maryland (PJM) electricity market. The results were obtained for four different regions separately and then aggregated. The aggregated approach is more useful as compared to overall prediction as individual models can capture details unique to a particular region. The aggregated result was compared with the overall result of whole region and an ARIMA model.","PeriodicalId":424038,"journal":{"name":"2019 IEEE Texas Power and Energy Conference (TPEC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122519344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Study of Voltage-Dependent Harmonic Characteristics of Residential Appliances 家用电器电压相关谐波特性研究

2019 IEEE Texas Power and Energy Conference (TPEC) Pub Date : 2019-02-01 DOI: 10.1109/TPEC.2019.8662188

Jinia Roy, B. Mather

{"title":"Study of Voltage-Dependent Harmonic Characteristics of Residential Appliances","authors":"Jinia Roy, B. Mather","doi":"10.1109/TPEC.2019.8662188","DOIUrl":"https://doi.org/10.1109/TPEC.2019.8662188","url":null,"abstract":"This paper focuses on the electrical characteristics of residential and domestic appliances and their effects to the power grid. With the ever-changing load landscape and the introduction of power electronics-based equipment and energy-efficient loads, it is increasingly important to have a thorough knowledge of their power quality and harmonic characteristics in addition to conventional load models. This is critical to the accurate load representations, particularly for the complete bottom-up load models, in voltage stability assessment, determining possible interactions at harmonic frequencies, the effect of the system impedance, as well as possible voltage sag and swell and unbalance conditions. For this study, the household appliances are grouped into five categories: lighting, power electronics, resistive, motor, and aggregated loads. The effect of the voltage variation on the load current characteristics is also studied. The results from laboratory experiments involving most of the commonly used domestic appliances are analyzed within a range of +10%/−5% of the nominal supply voltage and within a range of +/−3 Hz of the nominal supply frequency.","PeriodicalId":424038,"journal":{"name":"2019 IEEE Texas Power and Energy Conference (TPEC)","volume":"357 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122727092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

An Interactive, Stand-Alone and Multi-User Power System Simulator for the PMU Time Frame 一个交互式，独立和多用户电源系统模拟器的PMU时间框架

2019 IEEE Texas Power and Energy Conference (TPEC) Pub Date : 2019-02-01 DOI: 10.1109/TPEC.2019.8662182

T. Overbye, Zeyu Mao, A. Birchfield, J. Weber, Matt Davis

引用次数: 17

Quantifying the Effect of Air Conditioning Dynamics on Power System Transient Stability Limits 空调动力学对电力系统暂态稳定极限影响的量化

2019 IEEE Texas Power and Energy Conference (TPEC) Pub Date : 2019-02-01 DOI: 10.1109/TPEC.2019.8662191

Benjamin P. Wiseman, Le Xie

引用次数: 0