2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)最新文献_第9页

A Monte Carlo Simulation Platform for Studying the Behavior of Wind-PV-Diesel-Battery Powered Mobile Telephony Base Stations 研究风能-光伏-柴油电池供电的移动电话基站行为的蒙特卡罗仿真平台

2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) Pub Date : 2020-08-01 DOI: 10.1109/PMAPS47429.2020.9183576

Č. Zeljković, Predrag Mršić, Bojan Erceg, Đorđe Lekić, Nemanja Kitić, P. Matić, T. Șoimoșan

{"title":"A Monte Carlo Simulation Platform for Studying the Behavior of Wind-PV-Diesel-Battery Powered Mobile Telephony Base Stations","authors":"Č. Zeljković, Predrag Mršić, Bojan Erceg, Đorđe Lekić, Nemanja Kitić, P. Matić, T. Șoimoșan","doi":"10.1109/PMAPS47429.2020.9183576","DOIUrl":"https://doi.org/10.1109/PMAPS47429.2020.9183576","url":null,"abstract":"This paper discusses the problem of powering a remote rural mobile base station using a standalone hybrid renewable energy system. A wind turbine and photovoltaic system are employed as the complementary power generation technologies, while the diesel generator serves as a backup power supply. A battery is required to reduce the impact of intermittency of renewable sources. On the consumption side, along with telecommunication electronic equipment, the consumption of cooling devices as a result of the ambient temperature, is also taken into account. The behavior of the base station in electrical and thermal terms is tested using the sequential Monte Carlo simulation. Adequate models have been used to generate wind, irradiance, and temperature input series, using the monthly averages for calibration, as the statistic information that is widely available in meteorological atlases, even for remote rural locations. The developed software provides all the variables of interest either in the form of chronological diagrams or probability histograms. The simulation platform can also be incorporated as a module of an algorithm for selection of optimal capacity of the generating system elements and for the optimal control of the cooling devices.","PeriodicalId":126918,"journal":{"name":"2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123166571","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

Post-processing Numerical Weather Prediction for Probabilistic Wind Forecasting 概率风预报的后处理数值天气预报

2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) Pub Date : 2020-08-01 DOI: 10.1109/PMAPS47429.2020.9183641

Theodoros Konstantinou, N. Savvopoulos, N. Hatziargyriou

引用次数: 1

A Robust Approach to manage Demand Response for power distribution system planning 配电系统规划中需求响应管理的稳健方法

2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) Pub Date : 2020-08-01 DOI: 10.1109/PMAPS47429.2020.9183564

G. Celli, Luigi Sechi, G. G. Soma

引用次数: 2

Emergency power flow re-routing in a distribution system by using dynamic line rating 基于动态线路额定值的配电系统应急潮流重路由

2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) Pub Date : 2020-08-01 DOI: 10.1109/PMAPS47429.2020.9183563

A. M. Gómez, G. Guerreiro, Hannes Wiklund, Johanna Lindstén, S. Ramakrishna, Kateryna Morozovska, P. Hilber

{"title":"Emergency power flow re-routing in a distribution system by using dynamic line rating","authors":"A. M. Gómez, G. Guerreiro, Hannes Wiklund, Johanna Lindstén, S. Ramakrishna, Kateryna Morozovska, P. Hilber","doi":"10.1109/PMAPS47429.2020.9183563","DOIUrl":"https://doi.org/10.1109/PMAPS47429.2020.9183563","url":null,"abstract":"Dynamic rating is a technology which allows loading power lines above their rated limits. More often, dynamic rating is used to transport new power and connect additional generators to the grid using existing infrastructure. However, this study explores the possibility to use dynamic rating for improving the security of supply and assisting fast reconnection of disconnected customers during emergency and fault situations occurring at other lines. DLR allows improving power system reliability during emergency conditions using Optimal Power Flow (OPF), which additionally helps to minimize costs of system operation. Large costs involving investment for new infrastructure and penalties for interruptions in the power supply can be considerably reduced by implementing DLR. Also, DLR can improve the reliability of the system by providing real-time information on the status of power lines. Using Optimal Power Flow ensures that the lines loading, bus voltage magnitudes and angles as well as generation injections are within the acceptable limits as per the utility regulations. Faults are modelled as cases when one of the lines becomes disconnected. The bottlenecks in the system during post-fault situations are identified to determine optimal lines in the system on which DLR could be implemented.","PeriodicalId":126918,"journal":{"name":"2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127818251","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

An Instantaneous Growing Stream Clustering Algorithm for Probabilistic Load Modeling/Profiling 一种用于概率负荷建模/分析的瞬时增长流聚类算法

2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) Pub Date : 2020-08-01 DOI: 10.1109/PMAPS47429.2020.9183448

S. Massucco, G. Mosaico, M. Saviozzi, F. Silvestro, A. Fidigatti, E. Ragaini

引用次数: 6

Modelling the vulnerability of overhead lines against tree contacts for resilience assessment 模拟架空线路对树木接触的脆弱性，以进行弹性评估

2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) Pub Date : 2020-08-01 DOI: 10.1109/PMAPS47429.2020.9183607

E. Ciapessoni, D. Cirio, A. Pitto, G. Pirovano, M. Sforna

引用次数: 7

Stochastic Programming for Residential Energy Management with Electric Vehicle under Photovoltaic Power Generation Uncertainty 光伏发电不确定性下电动汽车住宅能源管理的随机规划

2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) Pub Date : 2020-08-01 DOI: 10.1109/PMAPS47429.2020.9183393

Thanet Chitsuphaphan, Xinan Yang, Hongsheng Dai

引用次数: 1

Operational Reliability Assessment of Power Electronic Transformer Considering Operating Conditions and Fatigue Accumulation 考虑工况和疲劳积累的电力电子变压器运行可靠性评估

2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) Pub Date : 2020-08-01 DOI: 10.1109/PMAPS47429.2020.9183490

Yuxiang Wan, Lin Cheng, Manjun Liu

{"title":"Operational Reliability Assessment of Power Electronic Transformer Considering Operating Conditions and Fatigue Accumulation","authors":"Yuxiang Wan, Lin Cheng, Manjun Liu","doi":"10.1109/PMAPS47429.2020.9183490","DOIUrl":"https://doi.org/10.1109/PMAPS47429.2020.9183490","url":null,"abstract":"Power electronic transformer (PET) is a new type of Distribution FACTS. The equipment reliability is directly determined by its historical operating conditions and the component health status, especially the IGBT modules. This paper proposes an operational reliability model for the power electronic transformers based on MMC, which considers the effects of the fatigue accumulation and short-term operating conditions of IGBT modules. Firstly, the loss of IGBT modules under different loads is analyzed to obtain their long-term and short-term junction temperature. Then, the contributions of different time-scale junction temperature variations on the IGBT module failure rate are analyzed based on IGBT failure mechanisms and reliability guidelines. Finally, the Markov state space for the PET reliability is established, and the validity of the operational reliability model is verified by a case study. The results show that the proposed method could effectively predict the time-varying equipment reliability performance in the short-term operation.","PeriodicalId":126918,"journal":{"name":"2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116455624","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

Modelling and Simulation of Uncertainty in the Placement of Distributed Energy Resources for Planning Applications 规划应用中分布式能源布局不确定性的建模与仿真

2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) Pub Date : 2020-08-01 DOI: 10.1109/PMAPS47429.2020.9183657

M. J. Chihota, B. Bekker

{"title":"Modelling and Simulation of Uncertainty in the Placement of Distributed Energy Resources for Planning Applications","authors":"M. J. Chihota, B. Bekker","doi":"10.1109/PMAPS47429.2020.9183657","DOIUrl":"https://doi.org/10.1109/PMAPS47429.2020.9183657","url":null,"abstract":"The penetration of distributed energy resources (DERs) into distribution networks has greatly increased. Although there are widespread benefits, unregulated penetration can lead to several technical problems. Research activity on understanding the technical impacts has increased, motivated by two needs: the evaluation of the adequacy of existing networks to host DERs, which contributes to regulations for penetration, and development of new principles for designing and planning new electrification systems. Appropriate tools for this analysis must be based on probabilistic techniques to address input uncertainties. The application of probabilistic load flow approaches to account for uncertainties related to consumer loads and power generation from renewable energy sources is widely reported. However, uncertainty regarding future DER penetration scenarios, particularly placement, is not adequately addressed. This paper explores the impact on accuracy of different strategies to modelling and simulating uncertain DER placement through the application of three different placement strategies on a practical feeder located in South Africa.","PeriodicalId":126918,"journal":{"name":"2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114986043","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

Outage Data Analysis of the Overhead Transmission Lines in Kazakhstan Power System 哈萨克斯坦电力系统架空输电线路停电数据分析

2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) Pub Date : 2020-08-01 DOI: 10.1109/PMAPS47429.2020.9183569

Yerzhigit Bapin, S. Ekisheva, M. Papic, Vasilios Zarikas

引用次数: 1