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2017 IEEE Texas Power and Energy Conference (TPEC)最新文献

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High impedance fault detection utilizing real-time complexity measurement 利用实时复杂性测量的高阻抗故障检测
2017 IEEE Texas Power and Energy Conference (TPEC) Pub Date : 2017-02-01 DOI: 10.1109/TPEC.2017.7868289
F. Ferdowsi, H. Vahedi, C. Edrington
{"title":"High impedance fault detection utilizing real-time complexity measurement","authors":"F. Ferdowsi, H. Vahedi, C. Edrington","doi":"10.1109/TPEC.2017.7868289","DOIUrl":"https://doi.org/10.1109/TPEC.2017.7868289","url":null,"abstract":"This paper presents a High Impedance Fault (HIF) Detection method based on the Real-time Complexity Measurement (RCM). The proposed method is a passive technique which does not need any additional equipment to perturb the system parameters, i. e, voltage or current. Thus, it can be easily implemented in an industrial processor. Additionally, in the proposed method because no signal is injected to the system, it does not affect the power quality. In this study, a Solid State Transformer (SST) in a microgrid is considered as the test system. The instantaneous RMS voltage at the load side of the SST is imported to a real-time processor where the complexity of the time-series data is measured. Results confirm the dependability of the proposed method in the HIF detection.","PeriodicalId":391980,"journal":{"name":"2017 IEEE Texas Power and Energy Conference (TPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131046506","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
Robust phase detection in distribution systems 配电系统的鲁棒相位检测
2017 IEEE Texas Power and Energy Conference (TPEC) Pub Date : 2017-02-01 DOI: 10.1109/TPEC.2017.7868279
M. S. Modarresi, Tong Huang, Hao Ming, Le Xie
{"title":"Robust phase detection in distribution systems","authors":"M. S. Modarresi, Tong Huang, Hao Ming, Le Xie","doi":"10.1109/TPEC.2017.7868279","DOIUrl":"https://doi.org/10.1109/TPEC.2017.7868279","url":null,"abstract":"This paper proposes an on-line algorithm to detect the phase connection for end users in a power distribution system. In distribution systems, feeder switching often changes the phase connection information of end users in the real-time operation. Recently, Advanced Metering infrastructure (AMI) are being installed in distribution systems. They enable utilities to record end-point voltages in defined intervals. This paper first presents a method to find phases belonging to same phase using synchronized data and fixed topology of distribution grid. Then, this paper presents a method to clean the noisy data through Artificial Neural Network (ANN) trained by the historical data. The proposed methods is tested using modified 13-bus IEEE distribution test system on the low-voltage side.","PeriodicalId":391980,"journal":{"name":"2017 IEEE Texas Power and Energy Conference (TPEC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131916428","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: 12
Power system state estimation accuracy and observability evaluation with optimal PMU placement PMU最优配置下的电力系统状态估计精度与可观测性评估
2017 IEEE Texas Power and Energy Conference (TPEC) Pub Date : 2017-02-01 DOI: 10.1109/TPEC.2017.7868263
Abdullah A. Almehizia, F. Alismail
{"title":"Power system state estimation accuracy and observability evaluation with optimal PMU placement","authors":"Abdullah A. Almehizia, F. Alismail","doi":"10.1109/TPEC.2017.7868263","DOIUrl":"https://doi.org/10.1109/TPEC.2017.7868263","url":null,"abstract":"This paper introduces a phasor measurement units (PMUs) placement technique where redundant measurements can be removed and only critical measurements that will guarantee system observability are kept. The criterion for the measurement reduction algorithm is the minimum condition number of the measurement matrix. In this paper, the solution of the state estimation problem is achieved by two methods, the weighted least square (WLS) state estimation and the least absolute value (LAV) state estimation. In the WLS methodology, the Singular Value Decomposition (SVD) technique is used. The WLS would fail in the presence of bad data measurements, and a post WLS process will be required to identify and eliminate the effect of bad data. The LAV estimator, on the other hand, has the advantage of automatic bad data rejection if the measurements do not contain any leverage measurements. The simulations were done using the IEEE 9 and 14 bus system.","PeriodicalId":391980,"journal":{"name":"2017 IEEE Texas Power and Energy Conference (TPEC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132573800","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: 3
Emerging distribution systems: Modeling challenges in faulted conditions 新兴配电系统:故障条件下的建模挑战
2017 IEEE Texas Power and Energy Conference (TPEC) Pub Date : 2017-02-01 DOI: 10.1109/TPEC.2017.7868272
L. Strezoski, M. Prica, K. Loparo
{"title":"Emerging distribution systems: Modeling challenges in faulted conditions","authors":"L. Strezoski, M. Prica, K. Loparo","doi":"10.1109/TPEC.2017.7868272","DOIUrl":"https://doi.org/10.1109/TPEC.2017.7868272","url":null,"abstract":"The objective of this paper is to summarize the challenges imposed by emerging technologies, such as distributed energy resources (DERs), to modeling and online calculations of faulted distribution systems. In the last decade, the connection of DERs to the system through power electronic devices has become increasingly popular. These DERs have controlled fault currents, with predefined current limits. Therefore, they cannot be modeled with traditional voltage source behind impedance models, used for modeling synchronous and induction machines in online calculations. However, most of the software packages for managing distribution systems still use these models for modeling all types of DERs, including electronically coupled ones. In this paper it is shown that this practice could introduce extremely high errors to calculation results, and cause the system model to be an inadequate representation of the system. Therefore, there is an urgent need for global standardization of recently introduced models that more adequately represent these emerging DERs. The results from our previous studies were used to numerically support this claim.","PeriodicalId":391980,"journal":{"name":"2017 IEEE Texas Power and Energy Conference (TPEC)","volume":"189 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122471077","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: 1
Trajectory training of feedforward neural networks for DC motor speed control 直流电动机速度控制的前馈神经网络轨迹训练
2017 IEEE Texas Power and Energy Conference (TPEC) Pub Date : 2017-02-01 DOI: 10.1109/TPEC.2017.7868275
S. Plathottam, H. Salehfar
{"title":"Trajectory training of feedforward neural networks for DC motor speed control","authors":"S. Plathottam, H. Salehfar","doi":"10.1109/TPEC.2017.7868275","DOIUrl":"https://doi.org/10.1109/TPEC.2017.7868275","url":null,"abstract":"This work discusses the use of template trained neural networks for DC motor speed control. It proposes the use of input-output trajectories to train the neural network instead of using data points as is normally done for feedforward neural networks. Experimental results show that the trajectory trained neural network can successfully perform speed control of PMDC motors when compared to neural networks trained using conventional training methods.","PeriodicalId":391980,"journal":{"name":"2017 IEEE Texas Power and Energy Conference (TPEC)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130823444","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: 0
SVC-POD tuning methodology and application to a Colombian case SVC-POD调优方法及其在哥伦比亚案例中的应用
2017 IEEE Texas Power and Energy Conference (TPEC) Pub Date : 2017-02-01 DOI: 10.1109/TPEC.2017.7868291
Camilo Andrés Ordóñez Medina, J. A. Vélez
{"title":"SVC-POD tuning methodology and application to a Colombian case","authors":"Camilo Andrés Ordóñez Medina, J. A. Vélez","doi":"10.1109/TPEC.2017.7868291","DOIUrl":"https://doi.org/10.1109/TPEC.2017.7868291","url":null,"abstract":"A methodology to determine the parameters of the Power Oscillation Damper (POD) of Flexible AC Transmission Systems (FACTS) is presented in this article. The results of application of the methodology in a Colombian SVC indicate that it is feasible and the parameters obtained show that the oscillations are effectively damped without affecting notably the controlled busbar voltage.","PeriodicalId":391980,"journal":{"name":"2017 IEEE Texas Power and Energy Conference (TPEC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115842199","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: 2
An interactive, extensible environment for power system simulation on the PMU time frame with a cyber security application 一个交互式的，可扩展的环境，用于电力系统仿真的PMU时间框架与网络安全应用程序
2017 IEEE Texas Power and Energy Conference (TPEC) Pub Date : 2017-02-01 DOI: 10.1109/TPEC.2017.7868264
T. Overbye, Zeyu Mao, K. Shetye, J. Weber
{"title":"An interactive, extensible environment for power system simulation on the PMU time frame with a cyber security application","authors":"T. Overbye, Zeyu Mao, K. Shetye, J. Weber","doi":"10.1109/TPEC.2017.7868264","DOIUrl":"https://doi.org/10.1109/TPEC.2017.7868264","url":null,"abstract":"Power system simulation environments with appropriate time-fidelity are needed to enable rapid testing of new smart grid technologies and for coupled simulations of the underlying cyber infrastructure. This paper presents such an environment which operates with power system models in the PMU time frame, including data visualization and interactive control action capabilities. The flexible and extensible capabilities are demonstrated by interfacing with a cyber infrastructure simulation.","PeriodicalId":391980,"journal":{"name":"2017 IEEE Texas Power and Energy Conference (TPEC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130699123","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: 18
Online and offline load frequency controller design 在线和离线负载频率控制器的设计
2017 IEEE Texas Power and Energy Conference (TPEC) Pub Date : 2017-02-01 DOI: 10.1109/TPEC.2017.7868283
Abdulhamid Zaidi, Qi Cheng
{"title":"Online and offline load frequency controller design","authors":"Abdulhamid Zaidi, Qi Cheng","doi":"10.1109/TPEC.2017.7868283","DOIUrl":"https://doi.org/10.1109/TPEC.2017.7868283","url":null,"abstract":"A good quality of electric power system is that both the frequency and voltage remain at the desired values during operation and transmission of power. If the load power changes, the frequency will oscillate and deviate from its rated value, leading to instability issues. Thus, a design of efficient load frequency control (LFC) is needed to maintain the frequency constant against continuous variation of loads, which is also referred as unknown external load disturbance. A proportional-integral-derivative (PID) controller has been used for decades as the load frequency controller to keep frequency approximately at the nominal value by tuning the proportional, integral and derivative gains of the PID controller. In this paper, we propose two methods to tune the PID controller. The first method is online tuning based on neural networks and the second method is offline tuning based on particle swarm optimization. The two tuning methods are applied on a single and two interconnected power areas. Both tuning methods are compared with each other and both show good performance in terms of the overshoot, undershoot and settling time, but online tuning method gives better results in damping out the frequency deviation compared to the offline tuning method.","PeriodicalId":391980,"journal":{"name":"2017 IEEE Texas Power and Energy Conference (TPEC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114462511","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: 2
Optimum number of cascaded multilevel inverters for high-voltage applications based on Pareto analysis 基于Pareto分析的高电压级联多电平逆变器最优数量
2017 IEEE Texas Power and Energy Conference (TPEC) Pub Date : 2017-02-01 DOI: 10.1109/TPEC.2017.7868286
Ahmad Bashaireh, M. Mosa, R. Balog, H. Abu-Rub
{"title":"Optimum number of cascaded multilevel inverters for high-voltage applications based on Pareto analysis","authors":"Ahmad Bashaireh, M. Mosa, R. Balog, H. Abu-Rub","doi":"10.1109/TPEC.2017.7868286","DOIUrl":"https://doi.org/10.1109/TPEC.2017.7868286","url":null,"abstract":"High power megawatt (MW) scale drives and power supplies are becoming more prevalent in industrial applications due in part to the development of the Cascaded Multilevel Inverter (CMI) topology. This paper examines the selection of the number of levels for a particular application by using Pareto efficiency analysis to optimize the number of cells with respect to cost, quality, and reliability. This study has been accomplished by designing a general Model Predictive Control (MPC) as a feedback controller which can be employed for any number of levels. MPC is used in the evaluation of the performance metrics to ensure that each design operates optimally. A discrete-time model of the CMI along with a model of the load is used to predict the future behavior of the inverter output currents. The MPC controller uses that prediction along with a set of multi-objective control variables all in one cost function to produce the optimal switching signals. Three-phase AC output current and common mode voltage (CMV) are considered together when designing the controller. MATLAB simulations are presented to validate and implement these concepts.","PeriodicalId":391980,"journal":{"name":"2017 IEEE Texas Power and Energy Conference (TPEC)","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132414653","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
Analysis of ERCOT regulation-up and regulation-down operational reserves ERCOT调高和调降运营准备金的分析
2017 IEEE Texas Power and Energy Conference (TPEC) Pub Date : 2017-02-01 DOI: 10.1109/TPEC.2017.7868266
J. Andrade, R. Baldick, Yingzhang Dong
{"title":"Analysis of ERCOT regulation-up and regulation-down operational reserves","authors":"J. Andrade, R. Baldick, Yingzhang Dong","doi":"10.1109/TPEC.2017.7868266","DOIUrl":"https://doi.org/10.1109/TPEC.2017.7868266","url":null,"abstract":"The short-term production variability of utility scale renewable generation is compensated for by Operational Reserves. At first sight, it might be expected that the required reserves would increase with the amount of renewable installed power. However, this has not recently been the case in ERCOT, where operational reserves requirements have decreased over time. A closer look reveals that other changes have occurred over time as specified in Nodal Protocol Revision Requests (NPRRs). This paper presents a statistical analysis of the impact of different NPRR changes over ERCOT procured Regulation-Up and Regulation-Down operational reserves. The significance of them was assessed by using the Regression Discontinuity Design method. The results suggest that eventually more renewable generation can be introduced without a significant increasing of operational reserve requirements.","PeriodicalId":391980,"journal":{"name":"2017 IEEE Texas Power and Energy Conference (TPEC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133651311","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: 1
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