2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)最新文献_第4页

Advanced Short-Circuit Current Calculation for Doubly-Fed Induction Generator Based Wind Turbines According to IEC 60909 基于iec60909的双馈感应发电机的先进短路电流计算

2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe) Pub Date : 2019-09-01 DOI: 10.1109/ISGTEurope.2019.8905579

T. Lager, L. Hofmann

引用次数: 1

Electric Network Power Transfer Flexibility — Focusing on Power Conductors Electro-Mechanical Behavior 电网电力传输灵活性——以电力导体机电行为为重点

2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe) Pub Date : 2019-09-01 DOI: 10.1109/ISGTEurope.2019.8905657

Mohammed A. AlAqil, K. Kopsidas

{"title":"Electric Network Power Transfer Flexibility — Focusing on Power Conductors Electro-Mechanical Behavior","authors":"Mohammed A. AlAqil, K. Kopsidas","doi":"10.1109/ISGTEurope.2019.8905657","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2019.8905657","url":null,"abstract":"Power and energy utilities are obliged to tackle the inevitable results of the transformation strategies involving integrating high-shares of clean energy sources. The traditional solution of building new OHLs has been substituted by re-conductoring through bigger size or high-temperature conductor technologies to maintain the OHL system clearances. Existing literature models conductor vibration and fatigue based on a homogenized conductor structure. This paper establishes a Finite Element Model (FEM) in COMSOL© to enable examining vibration and fatigue of the different sizes and types of the OHL conductor's complex geometries. The simulations of the free vibration and tension-strain of the modelled geometry are corroborated with the experimental data. The FEM simulations for the single and multi-layered composite conductors show that conductor vibration and fatigue responses are not always linear with the change in vibration amplitudes. Hence, re-assessing the flexibility of the network capacity by re-tensioning conductors depends on the conductor type and operating conditions.","PeriodicalId":305933,"journal":{"name":"2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116931490","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

A New Transformerless Configuration for Grid-Connected Photovoltaic Inverters 并网光伏逆变器的一种新型无变压器配置

2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe) Pub Date : 2019-09-01 DOI: 10.1109/ISGTEurope.2019.8905528

Babak Rooholahi, Esmaeil Zangeneh Bighash

引用次数: 2

A Two-stage Approach for Renewable Hosting Capacity Assessment 可再生主机容量评估的两阶段方法

2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe) Pub Date : 2019-09-01 DOI: 10.1109/ISGTEurope.2019.8905598

Xiao Xu, J. Gunda, R. Dowling, S. Djokic

引用次数: 4

A Direct Perturbation based Sensor-free MPPT with DC Bus Voltage Control for a Standalone DC Microgrid 独立直流微电网直流母线电压控制的直接摄动无传感器MPPT

2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe) Pub Date : 2019-09-01 DOI: 10.1109/ISGTEurope.2019.8905505

Manoranjan Satapathy, Meher Preetam Korukonda, A. Hussain, L. Behera

{"title":"A Direct Perturbation based Sensor-free MPPT with DC Bus Voltage Control for a Standalone DC Microgrid","authors":"Manoranjan Satapathy, Meher Preetam Korukonda, A. Hussain, L. Behera","doi":"10.1109/ISGTEurope.2019.8905505","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2019.8905505","url":null,"abstract":"A direct perturbation based sensor-free maximum power point tracking (MPPT) algorithm with DC bus voltage control is proposed in this paper for a standalone low voltage DC microgrid. The dual loop PI based single control algorithm not only presents simple and low cost MPPT but also provides ancillary service - DC grid voltage control. Emphasis is also laid in modeling of the solar photovoltaic (PV) based standalone DC microgrid. Maximum power is extracted by direct perturbations of duty ratio decided by a set of logic conditions which are computed by any voltage change that is sensed at grid side. For controlling the DC bus voltage, the duty ratios of a bi-directional converter (BDC) are updated by checking the direction of inductor current associated with battery energy storage system (BESS), which eventually helps in seamless transition of buck to boost mode of operation and vice-versa avoiding unnecessary outages in system. Modeling the system and implementation of the control algorithm is done by Simulink and MATLAB environment respectively.","PeriodicalId":305933,"journal":{"name":"2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125890530","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

Nonnegative Wind Speed Time Series Models for SDDP and Stochastic Programming Applications SDDP的非负风速时间序列模型及随机规划应用

2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe) Pub Date : 2019-09-01 DOI: 10.1109/ISGTEurope.2019.8905724

U. Yıldıran

{"title":"Nonnegative Wind Speed Time Series Models for SDDP and Stochastic Programming Applications","authors":"U. Yıldıran","doi":"10.1109/ISGTEurope.2019.8905724","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2019.8905724","url":null,"abstract":"Stochastic dual dynamic programming (SDDP) is a popular method for hydro-thermal planning and recently has been applied to energy optimization problems in smart grids involving wind energy resources. In this method, there is a need for incorporating dynamic models in order to take into account time correlations of uncertainties. The models used should posses certain linearity properties to conserve the convexity of the optimization problem to be solved. This is crucial for the convergence of the SDDP algorithm. In the past, especially in hydro-thermal planning, linear autoregressive (AR) models were usually used for this purpose. However, they can produce negative values which is not realistic and can lead to difficulties in SDDP computations. As a remedy, one can employ additive or multiplicative AR models which are capable of producing nonnegative time series. Despite of this fact, the works using such models in SDDP based wind energy applications are very rare and model estimation methods were not elaborated. Moreover, their accuracy in representing real wind uncertainty was not studied well. Motivated with these facts, in the present study, modeling of wind speed distribution by such AR models is investigated. The parameters of the models were estimated by solving constrained least squares optimization problems. In order to asses the accuracy of corresponding distributions, a nonparametric method for computing the K-L divergence between probability density functions was utilized. Finally, the models were compared in terms of accuracy of their distributions and features of their parameter estimation algorithms.","PeriodicalId":305933,"journal":{"name":"2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128537315","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

Aggregate Harmonic Load Models of Residential Customers. Part 2: Frequency-Domain Models 住宅用户总谐波负荷模型。第2部分:频域模型

2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe) Pub Date : 2019-09-01 DOI: 10.1109/ISGTEurope.2019.8905746

Zekun Guo, Jan Meyer, N. Al-Shibli, Xiao Xu, S. Djokic, A. Collin, R. Langella, A. Testa, I. Papič, A. Blanco

引用次数: 2

Uncertainty handling control algorithms for demand response with modulating electric heating devices 调节电加热装置需求响应的不确定性处理控制算法

2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe) Pub Date : 2019-09-01 DOI: 10.1109/ISGTEurope.2019.8905448

Thomas Dengiz, P. Jochem, W. Fichtner

{"title":"Uncertainty handling control algorithms for demand response with modulating electric heating devices","authors":"Thomas Dengiz, P. Jochem, W. Fichtner","doi":"10.1109/ISGTEurope.2019.8905448","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2019.8905448","url":null,"abstract":"The flexibility of electric heating devices coupled with thermal storage can help to cope with the increasing share of volatile renewable energy sources in the electricity grid. Scheduling-based demand response approaches for optimally exploiting these flexibilities use demand and generation predictions to calculate an operative schedule of the heating devices. Due to deviations between predicted and real energy profiles, additional uncertainty handling methods are essential which adjust the actions imposed by the schedule to the current situation. In this paper, we introduce corrective control algorithms for buildings in smart grids with modulating heating devices that can compensate the uncertainties of predictions. The results show that our developed approaches avoid violations of the inhabitants' comfort limits and decrease the surplus energy (and thus increase the self-consumption rate) of photovoltaic systems compared to a conventional control strategy. Further, our analysis reveals that uncertainties affect the load shifting potentials of electric heating devices and lead to increased surplus energy.","PeriodicalId":305933,"journal":{"name":"2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131942953","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

Quantifying benefits of grid reinforcement measures to power system resilience against wet snow events 量化电网加固措施对电力系统抵御湿雪灾害的效益

2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe) Pub Date : 2019-09-01 DOI: 10.1109/ISGTEurope.2019.8905719

C. Chemelli, E. Ciapessoni, D. Cirio, P. Marcacci, G. Pirovano, A. Pitto, S. Massucco, M. Sforna

{"title":"Quantifying benefits of grid reinforcement measures to power system resilience against wet snow events","authors":"C. Chemelli, E. Ciapessoni, D. Cirio, P. Marcacci, G. Pirovano, A. Pitto, S. Massucco, M. Sforna","doi":"10.1109/ISGTEurope.2019.8905719","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2019.8905719","url":null,"abstract":"A major concern for Transmission System Operators (TSOs) is to effectively manage power systems during extreme weather events. This need calls for new methods and tools to support operational planning by forecasting critical conditions in the grid, and to quantify the benefits of the measures deployed to improve system performance under these events. For this reasons, the concept of resilience is particularly useful to build a proper assessment framework. This paper presents an in-depth resilience assessment methodology supporting the evaluation of the system response under different assumptions on threat intensity and component vulnerability, including the modeling of countermeasures aimed to improve system resilience. In particular the paper investigates the models for anti-torsional devices and ice-phobic coatings, i.e. two grid hardening measures against wet snow events. The case studies applied to a model of a realistic EHV/HV transmission system demonstrate the potentialities of the tool, which can be useful for a future quantitative techno-economic assessment of the portfolio of resilience boosting measures.","PeriodicalId":305933,"journal":{"name":"2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130288908","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

Tools for End-to-end Analysis, Calibration and Troubleshooting of Synchrophasor Systems 同步相量系统的端到端分析、校准和故障排除工具

2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe) Pub Date : 2019-09-01 DOI: 10.1109/ISGTEurope.2019.8905701

C. Seidl, M. Kezunovic

引用次数: 0