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Max-min Fairness for Demand Side Management Under High RES Penetration: Dealing With Undefined Consumer Valuation Functions 高RES渗透率下需求侧管理的最大最小公平性:处理未定义的消费者估值函数
2020 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2020-09-01 DOI: 10.1109/SEST48500.2020.9203247
Georgios Tsaousoglou, P. Pinson, N. Paterakis
{"title":"Max-min Fairness for Demand Side Management Under High RES Penetration: Dealing With Undefined Consumer Valuation Functions","authors":"Georgios Tsaousoglou, P. Pinson, N. Paterakis","doi":"10.1109/SEST48500.2020.9203247","DOIUrl":"https://doi.org/10.1109/SEST48500.2020.9203247","url":null,"abstract":"In energy communities with high penetration of renewables, electricity supply can become scarce during certain periods. In such cases, the objective of a resource allocation algorithm can be to minimize the disutility of the worst-off user of the community. This paper presents the problem of finding an optimal max-min fair allocation of available energy. A mixed-integer linear formulation is used to tackle the problem, so that the worst-off user’s disutility is minimized. The allocation results are compared to the standard approach that optimizes the system’s Social Welfare. The users’ disutility function models for electricity consuming devices, are based on their time-under-unsatisfied-demand, which is a measurable and comparable metric and does not rely on the user’s self reported valuation for energy consumption.","PeriodicalId":302157,"journal":{"name":"2020 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132990456","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
Adaptive Remedial Action Scheme Based on Phasor Measurement Unit 基于相量测量单元的自适应补救行动方案
2020 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2020-09-01 DOI: 10.1109/SEST48500.2020.9203187
Ahmad Yusuf Salile, N. Hariyanto, Masayuki Watanabe, F. S. Rahman
{"title":"Adaptive Remedial Action Scheme Based on Phasor Measurement Unit","authors":"Ahmad Yusuf Salile, N. Hariyanto, Masayuki Watanabe, F. S. Rahman","doi":"10.1109/SEST48500.2020.9203187","DOIUrl":"https://doi.org/10.1109/SEST48500.2020.9203187","url":null,"abstract":"Most of the blackout occurrences are caused by non-credible contingency events and often, the response to these situations is not prepared. One of such contingency event is the violation of transmission line limits leading to the disconnection of multiple highly loaded transmission lines. To prevent this event, knowing the loadability of the transmission line is important. In this research, a method to obtain the loadability of the transmission line is proposed. The data from the phasor measurement units are utilized to obtain the characteristics of the transmission lines (i.e. reactance, voltage drop pattern). Then, the loadability of the transmission lines in terms of thermal, voltage drop, and stability limits are calculated. The adaptive remedial action scheme (RAS) is also designed to maintain power transfer within a safe limit by load shedding and/or generation rejection. This scheme will update the total amount of load shedding or generation rejection and select the target based on the sensitivity of voltage to active power change. The method is applied to the Java-Bali system, in which a high amount of power is transferred from eastern to the western part through the transmission lines at the north and south corridors and hence, knowing the loadability limits of each corridor is important. Using the proposed method, the separation of western and eastern Java could be effectively prevented.","PeriodicalId":302157,"journal":{"name":"2020 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133474472","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
Comparison of Pan Detection Methods for Single Switch Topology Used in Domestic Induction Cooking 家用电磁炉单开关拓扑锅检测方法比较
2020 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2020-09-01 DOI: 10.1109/SEST48500.2020.9203253
Metin Öztürk, Ulaş Oktay, Namik Yilmaz, Hakan Süleyman Yardibi, Sercan Sinirlioğlu
{"title":"Comparison of Pan Detection Methods for Single Switch Topology Used in Domestic Induction Cooking","authors":"Metin Öztürk, Ulaş Oktay, Namik Yilmaz, Hakan Süleyman Yardibi, Sercan Sinirlioğlu","doi":"10.1109/SEST48500.2020.9203253","DOIUrl":"https://doi.org/10.1109/SEST48500.2020.9203253","url":null,"abstract":"This Induction heating technology is very popular in home appliances because of the user safety, efficient heating, easy cleaning and fast heating reasons. Detection of suitable receptacle or vessel is essential for domestic induction cooking applications due to user safety, over-current protection and efficient heating reasons. Especially in the single switch topology, it could be even more complicated to determine pan size and/or position compared to other topologies. In this paper three pan detection methods are presented and analyzed. First method is comparison of IGBT collector voltage or coil current with pre-defined values. Second one is comparison of single switch IGBT collector voltage VCE with DC Bus voltage VDC and the third one is evaluating anti-parallel diode current conduction time.","PeriodicalId":302157,"journal":{"name":"2020 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"190 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114853782","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
A Network Aggregation Tool for the Energy System Modelling Framework Spine 能源系统建模框架脊柱的网络聚合工具
2020 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2020-09-01 DOI: 10.1109/SEST48500.2020.9203526
I. Kouveliotis-Lysikatos, M. Marín, Jon Olason, M. Amelin, L. Söder
{"title":"A Network Aggregation Tool for the Energy System Modelling Framework Spine","authors":"I. Kouveliotis-Lysikatos, M. Marín, Jon Olason, M. Amelin, L. Söder","doi":"10.1109/SEST48500.2020.9203526","DOIUrl":"https://doi.org/10.1109/SEST48500.2020.9203526","url":null,"abstract":"Network reduction techniques are very useful for taming the complexity of simulating large interconnected power systems. In this paper, we present the implementation of a tool that performs a multi-area spatial network aggregation based on the generalized Radial Equivalent Independent (REI) methodology. The tool is integrated in Spine, an open source energy modelling framework currently under development. The main objective of Spine is to enable open, practical, flexible and realistic planning of future European energy grids. The validity and the efficacy of the reduction tool is investigated through a series of power flow scenarios for various test networks.","PeriodicalId":302157,"journal":{"name":"2020 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133835560","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
State Estimation with Identification of Erroneous Network Parameters 基于错误网络参数辨识的状态估计
2020 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2020-09-01 DOI: 10.1109/SEST48500.2020.9203501
Sulav Ghimire, A. Gonzalez-Castellanos, I. Lukicheva, David Pozo
{"title":"State Estimation with Identification of Erroneous Network Parameters","authors":"Sulav Ghimire, A. Gonzalez-Castellanos, I. Lukicheva, David Pozo","doi":"10.1109/SEST48500.2020.9203501","DOIUrl":"https://doi.org/10.1109/SEST48500.2020.9203501","url":null,"abstract":"Erroneous data of the power network parameters can have a massive impact on the quality of the power system state estimation. In general, existing databases for state estimation are used assuming that data is trustful. However, this is not always the case. Erroneous parameters can induce wrong state estimations or mistakenly indicate bad data measurements. In this paper, we propose a methodology for the identification of parameter errors in a power system and run state-estimation in the presence of these parameter errors. This algorithm was tested against different IEEE test systems, and the results showed high reliability on separating correct from incorrect parameters with minimal information about the power system.","PeriodicalId":302157,"journal":{"name":"2020 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"797 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133137295","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
Degradation analysis of 5-year field exposed photovoltaic modules using low-cost thermography, electroluminescence and I-V curve tests in Ecuador 使用低成本热成像、电致发光和I-V曲线测试对厄瓜多尔5年野外暴露的光伏组件进行降解分析
2020 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2020-09-01 DOI: 10.1109/SEST48500.2020.9203333
M. Dávila-Sacoto, L. G. González, J. Espinoza, L. Hernández-Callejo
{"title":"Degradation analysis of 5-year field exposed photovoltaic modules using low-cost thermography, electroluminescence and I-V curve tests in Ecuador","authors":"M. Dávila-Sacoto, L. G. González, J. Espinoza, L. Hernández-Callejo","doi":"10.1109/SEST48500.2020.9203333","DOIUrl":"https://doi.org/10.1109/SEST48500.2020.9203333","url":null,"abstract":"Detection of degradation of photovoltaic (PV) modules is important for the maintenance and operation of solar PV farms to reduce production losses. Infrarred (IR) Thermography, Electroluminescence (EL) and I-V curve tracers are detection techniques that generally use high-cost equipment, which limits their use in developing countries due to the tight budgets they manage for research and development. This study shows the use of low-cost alternatives to determine the deterioration of 140 solar PV modules at the University of Cuenca-Ecuador. This array has functioned continually without fail for 5 years. Measurement equipment for degradation detection techniques with a cost of less than 1,000.00USD is used and its application is validated with professional equipment. A power loss of 1.29% per year is obtained. In addition, the use of degradation values obtained from similar studies is proposed to reduce the effort of detecting deterioration modes, whose approximation allows the calculation of the power delivered by the installation with a 2.04% error. A method for the economic quantification due to the losses caused by the deterioration of solar PV modules is also exposed.","PeriodicalId":302157,"journal":{"name":"2020 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125585377","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
Comprehensive Performance Comparison of Supervised Machine Learning Algorithms in Non-Intrusive Load Monitoring 监督机器学习算法在非侵入式负荷监测中的综合性能比较
2020 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2020-09-01 DOI: 10.1109/SEST48500.2020.9203443
A. Ersen, Ayşe Kübra Erenoğlu, O. Erdinç, İbrahim Şengör, J. Catalão
{"title":"Comprehensive Performance Comparison of Supervised Machine Learning Algorithms in Non-Intrusive Load Monitoring","authors":"A. Ersen, Ayşe Kübra Erenoğlu, O. Erdinç, İbrahim Şengör, J. Catalão","doi":"10.1109/SEST48500.2020.9203443","DOIUrl":"https://doi.org/10.1109/SEST48500.2020.9203443","url":null,"abstract":"Recent developments in the field of smart grid have led to renewed interest in load monitoring strategies for achieving effective energy management schemes. There are vast amount of published studies describing the role of non-intrusive load monitoring (NILM) system based on various learning algorithms. It is widely known that the accuracy of load identification depends strongly on utilized methods and its features. Thus, the main aim of this study is to investigate the comparative accuracy of machine learning algorithms which have the same training data with different feature subsets. Afterwards, a low-cost data acquisition system for NILM using bagged tree ensemble algorithm is developed and demonstrated in detail. The proposed structure is tested on the ThingSpeak IoT platform to reveal the effectiveness of the evaluated concept.","PeriodicalId":302157,"journal":{"name":"2020 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127730139","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 Robust Building Energy Pattern Mining Method and its Application to Demand Forecasting 一种鲁棒建筑能耗模式挖掘方法及其在需求预测中的应用
2020 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2020-09-01 DOI: 10.1109/SEST48500.2020.9203357
J. Leprince, W. Zeiler
{"title":"A Robust Building Energy Pattern Mining Method and its Application to Demand Forecasting","authors":"J. Leprince, W. Zeiler","doi":"10.1109/SEST48500.2020.9203357","DOIUrl":"https://doi.org/10.1109/SEST48500.2020.9203357","url":null,"abstract":"With the current shift of the Netherlands energy systems to reduce its carbon footprint, appropriate planning is essential. However, obtaining accurate energy predictions become increasingly difficult from coupled weather and user behavior volatility. This work proposes a robust load pattern identification method through clustering whilst assessing the benefit of the attained information on enhancing accuracies of building energy prediction. A robust cross-validation is illustrated from assessing varying distance metrics and clustering algorithms, namely Euclidean and mahalanobis distances with Fuzzy C-Means and Agglomerative Hierarchical clustering. Leveraging nine identified and characterized patterns, a final indirect evaluation is realized with energy demand forecasting. The proposed data mining method provides a better understanding of the interactions between user behavior and future energy needs which can fundamentally impact strategic energy planning such as asset management, and collaborative operations.","PeriodicalId":302157,"journal":{"name":"2020 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129410619","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
Open-Source Power Outlet System for IoT-based Smart Homes 面向物联网智能家居的开源电源插座系统
2020 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2020-09-01 DOI: 10.1109/SEST48500.2020.9203306
Tiago Dias, Pedro Sampaio, Diogo Cardoso, Claudio T. Prates, Ricardo Jesus, T. Costa
{"title":"Open-Source Power Outlet System for IoT-based Smart Homes","authors":"Tiago Dias, Pedro Sampaio, Diogo Cardoso, Claudio T. Prates, Ricardo Jesus, T. Costa","doi":"10.1109/SEST48500.2020.9203306","DOIUrl":"https://doi.org/10.1109/SEST48500.2020.9203306","url":null,"abstract":"This paper presents an open-source wireless Smart Power Outlet (SPO) system to improve the control and monitoring of household appliances in IoT-based smart homes. The system supports not only the most typical SPO functionalities, such as remote on/off control or real-time monitoring of the current consumption, but also other important functionalities, like programming of the power supply time schedule, automatic interruption of vampire currents, or prevention of electrocutions. Moreover, the devised system architecture allows to connect multiple SPOs, even with different capabilities, in an IEEE 802.15.4 Sub-1 GHz Personal Area Network (PAN). This network is managed by a Controller that also acts as a border router, providing remote access to the SPOs. A prof-of-concept prototype of the system has been implemented and tested. The considered SPO and Controller were based on Simple-Link Sub-1 GHz CC1310 wireless microcontrollers running the Contiki OS. The obtained results demonstrate the basic functionalities offered by the proposed open-source SPO and suggest that it can be used to make the next generation of homes smarter at lower costs.","PeriodicalId":302157,"journal":{"name":"2020 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122672311","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
Predictive Supervision Strategy for Demand-Side Management in Distribution Grids 配电网需求侧管理的预测监管策略
2020 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2020-09-01 DOI: 10.1109/SEST48500.2020.9203277
Abderrahman Benchekroun, A. Davigny, V. Courtecuisse, L. Coutard, Kahina Hassam-Ouari, B. Robyns
{"title":"Predictive Supervision Strategy for Demand-Side Management in Distribution Grids","authors":"Abderrahman Benchekroun, A. Davigny, V. Courtecuisse, L. Coutard, Kahina Hassam-Ouari, B. Robyns","doi":"10.1109/SEST48500.2020.9203277","DOIUrl":"https://doi.org/10.1109/SEST48500.2020.9203277","url":null,"abstract":"In a context where smart grids are emerging, energy management strategies play a major role in tackling different challenges facing their development. This paper proposes a predictive supervision strategy to manage the activation of Electric Vehicles and Electric Water Heaters within a distribution grid. To do so, the energy production and consumption are forecasted using Artificial Neural Networks based on historical measurements and meteorological data. Then, these forecasts are used to determine controllable load profiles that minimize energy transmission costs. The system’s performance is finally tested through simulation using real-time measurements collected from a distribution substation, showing an important reduction in energy transmission costs and also an increase in local renewable energy consumption.","PeriodicalId":302157,"journal":{"name":"2020 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"547 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123097834","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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