2014 IEEE International Workshop on Applied Measurements for Power Systems Proceedings (AMPS)最新文献_第3页

Design considerations for artificial neural network-based estimators in monitoring of distribution systems 配电系统监测中基于人工神经网络估计器的设计考虑

2014 IEEE International Workshop on Applied Measurements for Power Systems Proceedings (AMPS) Pub Date : 2014-11-06 DOI: 10.1109/AMPS.2014.6947718

M. Ferdowsi, Behzad Zargar, F. Ponci, A. Monti

引用次数: 9

Procedure for the assessment of metrological characteristics of window-type current transformers in three-phase power systems 三相电力系统开窗式电流互感器计量特性评定程序

2014 IEEE International Workshop on Applied Measurements for Power Systems Proceedings (AMPS) Pub Date : 2014-11-06 DOI: 10.1109/AMPS.2014.6947700

L. Peretto, R. Tinarelli

引用次数: 3

Flexible and mobile deployment of synchronized measurement systems for active distribution grids 主动配电网同步测量系统的灵活和移动部署

2014 IEEE International Workshop on Applied Measurements for Power Systems Proceedings (AMPS) Pub Date : 2014-11-06 DOI: 10.1109/AMPS.2014.6947725

M. Popa, M. Calin, A. Dumitrescu, Sebastian Ciornei

引用次数: 0

Fault diagnosis of star-connected auto-transformer based 24-pulse rectifier 星连自耦变压器24脉冲整流器故障诊断

2014 IEEE International Workshop on Applied Measurements for Power Systems Proceedings (AMPS) Pub Date : 2014-11-06 DOI: 10.1109/AMPS.2014.6947721

Wei Wu, Xiaobin Zhang, W. Yao, Weilin Li

引用次数: 15

The amended standard C37.118.1a and its implications for frequency-tracking m-class Phasor Measurement Units (PMUs) 经修订的标准c37.118.a及其对频率跟踪m级相量测量单元(pmu)的影响

2014 IEEE International Workshop on Applied Measurements for Power Systems Proceedings (AMPS) Pub Date : 2014-09-24 DOI: 10.1109/AMPS.2014.6947702

A. Roscoe, B. Dickerson, K. Martin

引用次数: 2

Uncertainty sensitivity analysis of WLS-based grid state estimators 基于wls的电网状态估计器的不确定性敏感性分析

2014 IEEE International Workshop on Applied Measurements for Power Systems Proceedings (AMPS) Pub Date : 2014-09-01 DOI: 10.1109/AMPS.2014.6947723

D. Macii, G. Barchi, D. Petri

{"title":"Uncertainty sensitivity analysis of WLS-based grid state estimators","authors":"D. Macii, G. Barchi, D. Petri","doi":"10.1109/AMPS.2014.6947723","DOIUrl":"https://doi.org/10.1109/AMPS.2014.6947723","url":null,"abstract":"Fine-grained state estimation is expected to play a key role in smart grid monitoring and control. The most common class of state estimators at both transmission and distribution level relies on the so-called Weighted Least Squares (WLS) approach. While various, well-established implementations of WLS-based state estimators exist, all solutions typically exploit redundant data to assure full state observability and to build well conditioned matrices. At the moment, in the specific case of distribution networks just a few “true” measurement points are usually available. Therefore, the current distribution system state estimation (DSSE) techniques heavily rely on “pseudo” measurements based on historical load data. However, in future the traditional distinction between transmission and distribution systems is expected to blur and a larger number of heterogeneous instruments (e.g. the PMUs) could be deployed for real-time smart grid monitoring. In this respect, the purpose of this paper is twofold, i.e. i) to analyze in general how the uncertainty of different types of measurements may affect WLS-based state estimation accuracy when a minimum number of measurements is considered and ii) to identify a criterion for minimizing the sensitivity to measurement uncertainty. In the paper, the results of the theoretical analysis are validated through simulations in a case study.","PeriodicalId":288670,"journal":{"name":"2014 IEEE International Workshop on Applied Measurements for Power Systems Proceedings (AMPS)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126437255","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: 15

A platform for testing monitoring systems for the power distribution grid 配电网监测系统的测试平台

2014 IEEE International Workshop on Applied Measurements for Power Systems Proceedings (AMPS) Pub Date : 2014-09-01 DOI: 10.1109/AMPS.2014.6947714

A. Sadu, Andrea Angioni, Junqi Liu, F. Ponci, A. Monti

{"title":"A platform for testing monitoring systems for the power distribution grid","authors":"A. Sadu, Andrea Angioni, Junqi Liu, F. Ponci, A. Monti","doi":"10.1109/AMPS.2014.6947714","DOIUrl":"https://doi.org/10.1109/AMPS.2014.6947714","url":null,"abstract":"In future distribution network the need for automatic control and supervision has to be assisted by a monitoring system with high quality performance in terms of accuracy, reporting rate and robustness. However the number of measurement devices vs number of nodes buses is still very low. The increment in the measurement capacity can be achieved through distributed measurements, deploying of more devices, using existing measurements currently employed for other purposes (e.g. only protection, or energy billing) and gathering other heterogeneous measurements. Therefore, a measurement aggregator with monitoring functions should be able to produce meaningful and accurate results with very sparse, heterogeneous measurements. This paper proposes an architecture for testing this type of monitoring systems for distribution grids. The primary requirements for the development of this platform are: flexibility of the inputs, in terms of type, quantity and quality of measurements, and typical requirements for monitoring in modern smart grids. The key feature of the proposed platform is the modular structure, which allows total flexibility in terms of type of measurements and monitoring functions.","PeriodicalId":288670,"journal":{"name":"2014 IEEE International Workshop on Applied Measurements for Power Systems Proceedings (AMPS)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126833182","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: 7